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sdg 4 quality education case study

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sdg 4 quality education case study

Case Study Mexico

The Invisibility of Children with Cognitive Disability in Marginalized Mexican Communities

SDG 3 SDG 4

sdg 4 quality education case study

Unsupported Medical Interns in Rural Medical Units, Nuevo León

SDG 3 SDG 4 SDG 10 SDG 16

sdg 4 quality education case study

The resistance of Kolombian cultural expression within the Independencia neighborhood in Monterrey after the 2010 security crisis

sdg 4 quality education case study

Case Study India

Teacher Mentorship in India: Improving Pedagogy in Government Schools

SDG 4 SDG 10 SDG 17

sdg 4 quality education case study

Case Study Guatemala

Fellows for Change Empowering Education Leaders in Rural Guatemalan Communities

sdg 4 quality education case study

Incarceration and Innocence: Early childhood development of children of imprisoned women living in the Mexican penitentiary system

SDG 10 SDG 5 SDG 3 SDG 4

sdg 4 quality education case study

The ‘Making’ of a Makerspace: Community Stories and Lessons from Interventions in Cerro del Cuatro

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sdg 4 quality education case study

Women’s Economic Empowerment in Jalisco

SDG 4 SDG 5 SDG 8

sdg 4 quality education case study

Digital Upskilling in a Conflict Zone: Guadalajara, Mexico

sdg 4 quality education case study

Case Study Brazil

Reaching the Hard to Reach: A Case Study of Brazil’s Bolsa Família Program

SDG 1 SDG 3 SDG 4 SDG 10

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Case Studies

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« How one Tennessee high school set out on a six-week mission to test immersive education via  virtual reality  and answer the question, “Could VR be the next frontier for education?” » « Studies show technologies like tablets increase student engagement and make certain tasks easier. Proving that learning improves with such tools, on the other hand, is more difficult. However, there is potential in VR technology — due to its immersive, 3D nature with the combination of visual, auditory and kinesthetic learning models — to better engage students and help them to retain key concepts. »

source :  https://www.amd.com/en/corporate-responsibility/technology-classroom

« Find out why  Duolingo  is the #1 way to learn Spanish, English, French, German, Italian, and Portuguese. http://www.duolingo.com Duolingo  is the world’s most popular way to learn a language.

Duolingo teaches you to read, write, listen and speak. And it’s extremely effective. In fact, an independent study found that 34 hours on Duolingo are equal to a whole university semester. Duolingo is also completely free. »

« Hundreds of thousands of refugee children around the world do not have access to education. Working together,  Educate a Child  and  UNHCR  have made it possible for 266,000 refugee children to attend school in 12 countries. »

« EAC works with partner organisations toward its mission to trigger significant breakthroughs in providing out of school children faced with extreme poverty, cultural barriers, and conflict-affected environments an opportunity for a full course of quality primary education. »

https://educateachild.org/about/who-we-are

sdg 4 quality education case study

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sdg 4 quality education case study

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sdg 4 quality education case study

UNICEF Data : Monitoring the situation of children and women

sdg 4 quality education case study

GOAL 4: QUALITY EDUCATION

Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all.

Goal 4 aims to ensure inclusive and equitable quality education and promote lifelong learning opportunities for all.  This goal supports the reduction of disparities and inequities in education, both in terms of access and quality. It recognizes the need to provide quality education for all, and most especially vulnerable populations, including poor children, children living in rural areas, persons with disabilities, indigenous people and refugee children.

This goal is of critical importance because of its transformative effects on the other SDGs. Sustainable development hinges on every child receiving a quality education. When children are offered the tools to develop to their full potential, they become productive adults ready to give back to their communities and break the cycle of poverty. Education enables upward socioeconomic mobility.

Significant progress was achieved during the last decade in increasing access to education and school enrolment rates at all levels, particularly for girls. Despite these gains, about 260 million children were out of school in 2018, nearly one fifth of the global population in that age group. Furthermore, more than half of all children and adolescents worldwide are failing to meet minimum proficiency standards in reading and mathematics.

UNICEF’s contribution towards reaching this goal centres on equity and inclusion to provide all children with quality learning opportunities and skills development programmes, from early childhood through adolescence. UNICEF works with governments worldwide to raise the quality and inclusiveness of schools.  

UNICEF is custodian for global monitoring of Indicator 4.2.1 Percentage of children (aged 24–59 months) developmentally on track in at least 3 of the 4 following domains: literacy-numeracy, physical, socio-emotional and learning.

Child-related SDG indicators

Target 4.1 by 2030, ensure that all girls and boys complete free, equitable and quality primary and secondary education leading to relevant and effective learning outcomes.

Proportion of children and young people: (a) in grades 2/3; (b) at the end of primary; and (c) at the end of lower secondary achieving at least a minimum proficiency level in (i) reading and (ii) mathematics, by sex

  • Indicator definition
  • Computation method
  • Comments & limitations

Explore the data

The indicator aims to measure the percentage of children and young people who have achieved the minimum learning outcomes in reading and mathematics during or at the end of the relevant stages of education.

The higher the figure, the higher the proportion of children and/or young people reaching at least minimum proficiency in the respective domain (reading or mathematic) with the limitations indicated under the “Comments and limitations” section.

The indicator is also a direct measure of the learning outcomes achieved in the two subject areas at the end of the relevant stages of education. The three measurement points will have their own established minimum standard. There is only one threshold that divides students into above and below minimum:

Below minimum refers to the proportion or percentage of students who do not achieve a minimum standard as set up by countries according to the globally-defined minimum competencies.

Above minimum refers to the proportion or percentage of students who have achieved the minimum standards. Due to heterogeneity of performance levels set by national and cross-national assessments, these performance levels will have to be mapped to the globally-defined minimum performance levels. Once the performance levels are mapped, the global education community will be able to identify for each country the proportion or percentage of children who achieved minimum standards.

(a) Minimum proficiency level (MPL) is the benchmark of basic knowledge in a domain (mathematics, reading, etc.) measured through learning assessments. In September 2018, an agreement was reached on a verbal definition of the global minimum proficiency level of reference for each of the areas and domains of Indicator 4.1.1 as described in the document entitled: Minimum Proficiency Levels (MPLs): Outcomes of the consensus building meeting ( http://gaml.uis.unesco.org/wp-content/uploads/sites/2/2019/02/MPLs_revised_doc_20190204.docx ).

Minimum proficiency levels (MPLs) defined by each learning assessment to ensure comparability across learning assessments; a verbal definition of MPL for each domain and levels between cross-national assessments (CNAs) were established by conducting an analysis of the performance level descriptors, the descriptions of the performance levels to express the knowledge and skills required to achieve each performance level by domain, of cross-national, regional and community-led tests in reading and mathematics. The analysis was led and completed by the UIS and a consensus among experts on the proposed methodology was deemed adequate and pragmatic.

The global MPL definitions for the domains of reading and mathematics are presented here (insert link)

The Programme for International Student Assessment (PISA) reading test has six proficiency levels, of which Level 2 is described as the minimum proficiency level. In Trends in International Mathematics and Science Study (TIMSS) and Progress in International Reading Literacy Study (PIRLS), there are four proficiency levels: Low, Intermediate, High and Advanced. Students reaching the Intermediate benchmark are able to apply basic knowledge in a variety of situations, similar to the idea of minimum proficiency. Currently, there are no common standards validated by the international community or countries. The indicator shows data published by each of the agencies and organizations specialised in cross-national learning assessments.

Minimum proficiency levels defined by each learning assessment

(a) The number of children and/or young people at the relevant stage of education n in year t achieving at least the pre-defined proficiency level in subject s expressed as a percentage of the number of children and/or young people at stage of education n, in year t, in any proficiency level in subjects.

Harmonize various data sources To address the challenges posed by the limited capacity of some countries to implement cross- national, regional and national assessments, actions have been taken by the UIS and its partners. The strategies are used according to its level of precision and following a reporting protocol ( http://gaml.uis.unesco.org/wp-content/uploads/sites/2/2019/05/GAML6-WD-2-Protocol-for-reporting-4.1.1_v1.pdf ) that includes the national assessments under specific circumstances.

Out-of-school children In 2016, 263 million children, adolescents and youth were out of school, representing nearly one-fifth of the global population of this age group. 63 million, or 24% of the total, are children of primary school age (typically 6 to 11 years old); 61 million, or 23% of the total, are adolescents of lower secondary school age (typically 12 to 14 years old); and 139 million, or 53% of the total, are youth of upper secondary school age (about 15 to 17 years old). Not all these kids will be permanently outside school, some will re-join the educational system and, eventually, complete late, while some of them will enter late. The quantity varies per country and region and demands some adjustment in the estimate of Indicator 4.1.1. There is currently a discussion on how to implement these adjustments to reflect all the population. In 2017, the UIS proposed to make adjustments using the out-of-school children and the completion rates.( http://uis.unesco.org/en/blog/helping-countries-improve-their-data-out-school-children ) and the completion rates.

Minimum proficiency formula

Learning outcomes from cross-national learning assessment are directly comparable for all countries which participated in the same cross-national learning assessments. However, these outcomes are not comparable across different cross-national learning assessments or with national learning assessments. A level of comparability of learning outcomes across assessments could be achieved by using different methodologies, each with varying standard errors. The period of 2020-2021 will shed light on the standard errors’ size for these methodologies.

The comparability of learning outcomes over time has additional complications, which require, ideally, to design and implement a set of comparable items as anchors in advance. Methodological developments are underway to address comparability of assessments outcomes over time.

While data from many national assessments are available now, every country sets its own standards so the performance levels might not be comparable. One option is to link existing regional assessments based on a common framework. Furthermore, assessments are typically administered within school systems, the current indicators cover only those in school and the proportion of in-school target populations might vary from country to country due to varied out-of-school children populations. Assessing competencies of children and young people who are out of school would require household-based surveys. Assessing children in households is under consideration but may be very costly and difficult to administer and unlikely to be available on the scale needed within the next 3-5 years. Finally, the calculation of this indicator requires specific information on the ages of children participating in assessments to create globally-comparable data. The ages of children reported by the head of the household might not be consistent and reliable so the calculation of the indicator may be even more challenging. Due to the complication in assessing out-of-school children and the main focus on improving education system, the UIS is taking a stepping stone approach. It will concentrate on assessing children in school in the medium term, where much data are available, then develop more coherent implementation plan to assess out-of-school children in the longer term.

Click on the button below to explore the data behind this indicator.

Completion rate (primary education, lower secondary education, upper secondary education)

A completion rate of 100% indicates that all children and adolescents have completed a level of education by the time they are 3 to 5 years older than the official age of entry into the last grade of that level of education. A low completion rate indicates low or delayed entry into a given level of education, high drop-out, high repetition, late completion, or a combination of these factors.

Percentage of a cohort of children or young people aged 3-5 years above the intended age for the last grade of each level of education who have completed that grade.

The intended age for the last grade of each level of education is the age at which pupils would enter the grade if they had started school at the official primary entrance age, had studied full-time and had progressed without repeating or skipping a grade.

For example, if the official age of entry into primary education is 6 years, and if primary education has 6 grades, the intended age for the last grade of primary education is 11 years. In this case, 14-16 years (11 + 3 = 14 and 11 + 5 = 16) would be the reference age group for calculation of the primary completion rate.

The number of persons in the relevant age group who have completed the last grade of a given level of education is divided by the total population (in the survey sample) of the same age group.

Completion rate computation method

The age group 3-5 years above the official age of entry into the last grade for a given level of education was selected for the calculation of the completion rate to allow for some delayed entry or repetition. In countries where entry can occur very late or where repetition is common, some children or adolescents in the age group examined may still attend school and the eventual rate of completion may therefore be underestimated.

The indicator is calculated from household survey data and is subject to time lag in the availability of data. When multiple surveys are available, they may provide conflicting information due to the possible presence of sampling and non-sampling errors in survey data. The Technical Cooperation Group on the Indicators for SDG 4 – Education 2030 (TCG) has requested a refinement of the methodology to model completion rate estimates, following an approach similar to that used for the estimation of child mortality rates. The model would ensure that common challenges with household survey data, such as timeliness and sampling or non-sampling errors are addressed to provide up-to-date and more robust data.

TARGET 4.2 By 2030, ensure that all girls and boys have access to quality early childhood development, care and pre-primary education so that they are ready for primary education

Proportion of children aged 24-59 months of age who are developmentally on track in health, learning and psychosocial well-being, by sex.

Early childhood development (ECD) sets the stage for life-long thriving. Investing in ECD is one of the most critical and cost-effective investments a country can make to improve adult health, education and productivity in order to build human capital and promote sustainable development. ECD is equity from the start and provides a good indication of national development. Efforts to improve ECD can bring about human, social and economic improvements for both individuals and societies.

The recommended measure for SDG 4.2.1 is the Early Childhood Development Index 2030 (ECDI2030) which is a 20-item instrument to measure developmental outcomes among children aged 24 to 59 months in population-based surveys. The indicator derived from the ECDI2030 is the proportion of children aged 24 to 59 months who have achieved the minimum number of milestones expected for their age group, defined as follows:

– Children age 24 to 29 months are classified as developmentally on-track if they have achieved at least 7 milestones – Children age 30 to 35 months are classified as developmentally on-track if they have achieved at least 9 milestones – Children age 36 to 41 months are classified as developmentally on-track if they have achieved at least 11 milestones – Children age 42 to 47 months are classified as developmentally on-track if they have achieved at least 13 milestones – Children age 48 to 59 months are classified as developmentally on-track if they have achieved at least 15 milestones

SDG indicator 4.2.1 is intended to capture the multidimensional and holistic nature of early childhood development. For this reason, the indicator is not intended to be disaggregated by domains since development in all areas (health, learning and psychosocial wellbeing) are interconnected and overlapping, particularly among young children. The indicator is intended to produce a single summary score to indicate the proportion of children considered to be developmentally on track.

The domains included in the indicator for SDG indicator 4.2.1 include the following concepts:

Health: gross motor development, fine motor development and self-care Learning: expressive language, literacy, numeracy, pre-writing, and executive functioning Psychosocial well-being: emotional skills, social skills, internalizing behavior, and externalizing behavior

The number of children aged 24 to 59 months who are developmentally on track in health, learning and psychosocial well-being divided by the total number of children aged 24 to 59 months in the population multiplied by 100.

SDG 4.2.1 was initially classified as Tier 3 and was upgraded to Tier 2 in 2019; additionally, changes to the indicator were made during the 2020 comprehensive review. In light of this and given that the ECDI2030 was officially released in March 2020, it will take some time for country uptake and implementation of the new measure and for data to become available from a sufficiently large enough number of countries. Therefore, in the meantime, a proxy indicator (children aged 36-59 months who are developmentally ontrack in at least three of the following four domains: literacy-numeracy, physical, social-emotional and learning) will be used to report on 4.2.1, when relevant. This proxy indicator has been used for global SDG reporting since 2015 but is not fully aligned with the definition and age group covered by the SDG indicator formulation. When the proxy indicator is used for SDG reporting on 4.2.1 for a country, it will be footnoted as such in the global SDG database.

Click on the button below to explore the data behind this indicator’s proxy; Children aged 36-59 months who are developmentally ontrack in at least three of the following four domains: literacy-numeracy, physical, social-emotional and learning . For more information about this proxy indicator, please see “Comments and Limitations”

Adjusted net attendance rate, one year before the official primary entry age

The indicator measures children’s exposure to organized learning activities in the year prior to the official age to start of primary school as a representation of access to quality early childhood care and pre-primary education. One year prior to the start of primary school is selected for international comparison. A high value of the indicator shows a high degree of participation in organized learning immediately before the official entrance age to primary education.

The participation rate in organized learning (one year before the official primary entry age), by sex as defined as the percentage of children in the given age range who participate in one or more organized learning programme, including programmes which offer a combination of education and care. Participation in early childhood and in primary education are both included. The age range will vary by country depending on the official age for entry to primary education.

An organized learning programme is one which consists of a coherent set or sequence of educational activities designed with the intention of achieving pre-determined learning outcomes or the accomplishment of a specific set of educational tasks. Early childhood and primary education programmes are examples of organized learning programmes.

Early childhood and primary education are defined in the 2011 revision of the International Standard Classification of Education (ISCED 2011). Early childhood education is typically designed with a holistic approach to support children’s early cognitive, physical, social and emotional development and to introduce young children to organized instruction outside the family context. Primary education offers learning and educational activities designed to provide students with fundamental skills in reading, writing and mathematics and establish a solid foundation for learning and understanding core areas of knowledge and personal development. It focuses on learning at a basic level of complexity with little, if any, specialisation.

The official primary entry age is the age at which children are obliged to start primary education according to national legislation or policies. Where more than one age is specified, for example, in different parts of a country, the most common official entry age (i.e. the age at which most children in the country are expected to start primary) is used for the calculation of this indicator at the global level.

The number of children in the relevant age group who participate in an organized learning programme is expressed as a percentage of the total population in the same age range. From household surveys, both enrolments and population are collected at the same time.

4.2.2 computation method formula

Participation in learning programmes in the early years is not full time for many children, meaning that exposure to learning environments outside of the home will vary in intensity. The indicator measures the percentage of children who are exposed to organized learning but not the intensity of the programme, which limits the ability to draw conclusions on the extent to which this target is being achieved. More work is needed to ensure that the definition of learning programmes is consistent across various surveys and defined in a manner that is easily understood by survey respondents, ideally with complementary information collected on the amount of time children spend in learning programmes.

TARGET 4.a Build and upgrade education facilities that are child, disability and gender sensitive and provide safe, non-violent, inclusive and effective learning environments for all

Proportion of schools offering basic services, by type of service.

This indicator measures the presence of basic services and facilities in school that are necessary to ensure a safe and effective learning environment for all students. A high value indicates that schools have good access to the relevant services and facilities. Ideally each school should have access to all these services and facilities.

The percentage of schools by level of education (primary education) with access to the given facility or service

Electricity: Regularly and readily available sources of power (e.g. grid/mains connection, wind, water, solar and fuel-powered generator, etc.) that enable the adequate and sustainable use of ICT infrastructure for educational purposes.

Internet for pedagogical purposes: Internet that is available for enhancing teaching and learning and is accessible by pupils. Internet is defined as a worldwide interconnected computer network, which provides pupils access to a number of communication services including the World Wide Web and carries e-mail, news, entertainment and data files, irrespective of the device used (i.e. not assumed to be only via a computer) and thus can also be accessed by mobile telephone, tablet, PDA, games machine, digital TV etc.). Access can be via a fixed narrowband, fixed broadband, or via mobile network.

Computers for pedagogical use: Use of computers to support course delivery or independent teaching and learning needs. This may include activities using computers or the Internet to meet information needs for research purposes; develop presentations; perform hands-on exercises and experiments; share information; and participate in online discussion forums for educational purposes. A computer is a programmable electronic device that can store, retrieve and process data, as well as share information in a highly-structured manner. It performs high-speed mathematical or logical operations according to a set of instructions or algorithms.

Computers include the following types: -A desktop computer usually remains fixed in one place; normally the user is placed in front of it, behind the keyboard; – A laptop computer is small enough to carry and usually enables the same tasks as a desktop computer; it includes notebooks and netbooks but does not include tablets and similar handheld devices; and – A tablet (or similar handheld computer) is a computer that is integrated into a flat touch screen, operated by touching the screen rather than using a physical keyboard.

Adapted infrastructure is defined as any built environment related to education facilities that are accessible to all users, including those with different types of disability, to be able to gain access to use and exit from them. Accessibility includes ease of independent approach, entry, evacuation and/or use of a building and its services and facilities (such as water and sanitation), by all of the building’s potential users with an assurance of individual health, safety and welfare during the course of those activities.

Adapted materials include learning materials and assistive products that enable students and teachers with disabilities/functioning limitations to access learning and to participate fully in the school environment.

Accessible learning materials include textbooks, instructional materials, assessments and other materials that are available and provided in appropriate formats such as audio, braille, sign language and simplified formats that can be used by students and teachers with disabilities/functioning limitations.

Basic drinking water is defined as a functional drinking water source (MDG ‘improved’ categories) on or near the premises and water points accessible to all users during school hours.

Basic sanitation facilities are defined as functional sanitation facilities (MDG ‘improved’ categories) separated for males and females on or near the premises.

Basic handwashing facilities are defined as functional handwashing facilities, with soap and water available to all girls and boys.

The number of schools in a given level of education with access to the relevant facilities is expressed as a percentage of all schools at that level of education.

4.a.1 indicator formula

The indicator measures the existence in schools of the given service or facility but not its quality or operational state.

For every child to learn, UNICEF has eight key asks of governments:

  • A demonstration of how the SDG 4 global ambitions are being nationalized into plans, policies, budgets, data collection efforts and reports.
  • A renewed commitment to education to recover learning losses and manage impacts of COVID-19.
  • The implementation and scaling of digital learning solutions and innovations to reimagine education.
  • Attention to skills development should be a core component to education.
  • Focus to provide quality education to the most vulnerable – including girls, children affected by conflict and crisis, children with disabilities, refugees and displaced children.
  • A continued commitment to improving access to pre-primary, primary and secondary education for all, including for children from minority groups and those with disabilities.
  • A renewed focus on learning outcomes and their enablers, including learning in safe and adequate environments, support by well-trained teachers and structured content.
  • The implementation of SDG-focused learning throughout schools to raise awareness and inspire positive action.

Learn more about  UNICEF’s key asks for implementing Goal 4

See more Sustainable Development Goals

ZERO HUNGER

GOOD HEALTH AND WELL-BEING

QUALITY EDUCATION

GENDER EQUALITY

CLEAN WATER AND SANITATION

AFFORDABLE AND CLEAN ENERGY

DECENT WORK AND ECONOMIC GROWTH

REDUCED INEQUALITIES

CLIMATE ACTION

PEACE, JUSTICE AND STRONG INSTITUTIONS

PARTNERSHIPS FOR THE GOALS

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Sustainable Development Goal for Quality Education (SDG 4): A study on SDG 4 to extract the pattern of association among the indicators of SDG 4 employing a genetic algorithm

Munish saini.

1 Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, India

Eshan Sengupta

Madanjit singh.

2 Department of Computer Science, Guru Nanak Dev University, Amritsar, India

Harnoor Singh

Jaswinder singh, associated data.

The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.

Not applicable.

Sustainable Development Goals (SDG) are at the forefront of government initiatives across the world. The SDGs are primarily concerned with promoting sustainable growth via ensuring wellbeing, economic growth, environmental legislation, and academic advancement. One of the most prominent goals of the SDG is to provide learners with high-quality education (SDG 4). This paper aims to look at the perspectives of the Sustainable Development Goals improvised to provide quality education. We also analyze the existing state of multiple initiatives implemented by the Indian government in the pathway to achieving objectives of quality education (SDG 4). Additionally, a case study is considered for understanding the association among the observed indicators of SDG4. For this purpose, exploratory data analysis, and numerical association rule mining in combination with QuantMiner genetic algorithm approaches have been applied. The outcomes reveal the presence of a significant degree of association among these parameters pointing out the fact that understanding the impact of one (or more) indicator on other related indicators is critical for achieving SDG 4 goals (or factors). These findings will assist governing bodies in taking preventive measures while modifying existing policies and ensuring the effective enactment of SDG 4 goals, which also will subsequently aid in the resolution of issues related to other SDGs.

Introduction

Educational technology relies on academic knowledge from many fields such as communication, education, psychology, sociology, machine intelligence, and information technology in combination with practical academic experience (An & Oliver, 2021 ); Brill & Galloway, 2007 ; Januszewski & Molenda, 2013 ). Information and Communication Technology (ICT) is a broad phase of IT, emphasizing the function of unified communications as well as computers and software for businesses, middleware storage, and audio-visual services to enable users to access, save, transmit, understand and handle information (Schreyer, 2000 ; Yusuf, 2005 ). In the traditional education model, a teacher-centric classroom system was mostly preferred where the students are always expected to sit in front of the teacher, listening to lectures and taking notes (Pereira & Murzyn, 2001 ; Sibirskaya et al., 2019 ). In the twenty-first century, education evokes images of blended learning (Bruggeman et al., 2021 ; Osguthorpe & Graham, 2003 ; Singh, 2021 ), flipped classrooms (Hew et al., 2020 ; Wright & Park, 2021 ), and internet-based learning (or E-learning) (Singh et al., 2021 ; Winiharti & Chairiyani, 2021 ). Blended learning and flipped classrooms elevate a student’s academic performance and perception in comparison to traditional teaching (El Sadik & Al Abdulmonem, 2021 ). Implementing a blended approach to instruction at various phases of undergraduate and postgraduate education might enhance learning opportunities. Blended learning represents the integration of digital and multimedia equipment like personal computers, tablets, multimedia projects, sound systems, 3D models, and augmented reality with lectures and conventional modules (Trelease, 2016 ). Flipped or inverted classrooms are a collaborative learning format in which typical in-class lessons and assignment activities are swapped (Güvenç, 2018 ; Unal et al., 2021 ). Students are given access to the learning material before class so that they may prepare at their leisure, while the in-class period is devoted to engaging teaching activities (Ölmefors & Scheffel, 2021 ). These practices include but are not limited to, case-based learning, group learning, project-based learning, research-based learning, and cooperative learning (Sasson et al., 2018 ).

United Nations (UN) created the Sustainable Development Goals (SDGs), also known as the Worldwide Goals, in 2015 as a global call to action to eradicate poverty, protect the environment, and guarantee that everyone enjoys freedom and harmony by 2030 (de Villiers et al., 2021 ). The 17 SDGs are interlinked; they determine the impact of initiatives in one domain and progress in social, economic, and environmental sustainability. 1 These SDGs require everybody's creativity, understanding, technology, and financial resources in every environment. Approximately 262 million children and teenagers are out of school today (Matthew & Kazaure, 2020 ). It will result in possibly adding impoverishment and marginalization for 750 million individuals (UNESCO, 2021 ). UNESCO develops educational resources to assist individuals in living as global citizens free of hatred and bigotry (Ty, 2021 ). It aims to ensure that every child and citizen has access to a good education by fostering national connections and also cultural heritage and the equality of all civilizations (Addey, 2021 ). UNESCO acts as an idea laboratory, assisting nations in adopting international standards and managing programs that promote the free flow of ideas and information exchange.

Education ambitions are fundamentally reflected in the 2030 Sustainable Development Goal 4 (SDG 4) which is aimed to guarantee integrative and equal quality education and promote opportunities for lifelong learning for all by 2030 (Demirbağ & Sezgin, 2021 ; Shiohira, 2021 ). The roadmap for achieving the education objective, which was established in November 2015, advises governments around the world and private sector partners like Discovery Networks, Samsung 2 etc. on, how to transform pledges into action (Marope, 2016 ). 3 This is sponsored by the International Community through partnerships, guidance, institutional strengthening, inspection, and lobbying (Briones Alonso et al., 2021 ). In the context of the great challenges and opportunities for a forecast, feasible, and chosen future, the commission will focus on reconsidering the role of education, learning, and knowledge (Ahmad, 2019 ). SDG 4 is the goal of pristine education (Ferguson et al., 2021 ). It strives to offer equal and equitable education and create chances for continuous learning.

Vasudhaiva Kutumbakam, an old Indian saying that means "the world is one family," encapsulates the essence of India's approach to all areas of life, including economic growth, succinctly (Shelley, 2021 ). The Sustainable Development Objectives (SDGs) are therefore an integral part of the country's lengthy culture and legacy, and the goals largely represent India's development ambition (Kakar et al., 2021 ; Manby, 2021 ). India had a major influence in formulating the goals for sustainable development (SDGs). As one of the countries that have participated in the High-Level Political Forum's (HLPF) 2017 Voluntary National Reviews (VNRs), India recognizes the importance of poverty eradication and supporting growth in an ever-changing globe. 4 In India, significant advances have been made in essentializing basic education, with improvements in female enrolment and completion rates in both secondary and tertiary institutions. (Saxena, 2020 ). At the national level, the youth literacy rate was 94 percent for men and 92 percent for women (Jain, 2021 ). The gross enrollment ratio for men and girls in elementary school was 100%. 5 The new National Learning and Development Policy Objective (2020) places a special focus on the development of each individual's creative potential. 6 It is founded on the premise that schooling must develop not just intellectual capabilities, but also interpersonal, ethical, and psychological abilities and inclinations. Sarva Shiksha Abhiyan (SSA), the administration's flagship program, aims to provide ubiquitous quality education to all Indians, and it is supported by a specialized Hajdukiewicz and Pera ( 2020 ) program for nutritional needs, higher education, and professional development. 7 Ensuring comprehensive and high-quality education for everyone underlines the conviction that e-learning is one of the most potent and well-tested engines for long-term development. 8 This objective seeks to ensure that all girls and boys finish elementary and secondary schools and have fair access to effective vocational training by 2030, as well as to eradicate gender and income gaps and achieve universal access to a quality higher education (Mohanty & Dash, 2018 ). Furthermore, it promotes lifelong learning opportunities to acquire significant adult literacy and numeracy, as well as the construction and renovation of current education facilities that are children, handicapped, and gender-inclusive (McKay, 2018a ).

The Indian government has taken the necessary efforts to guarantee the successful execution of SDG 4 (Pandey, 2018 ). The government of India is committed to ensuring the proper execution of SDG 4 and ensuring that, the government has taken some initiatives like National Literacy Mission, Kala Sanskriti Vikas Yojana, National Scheme for Incentive to Female Child for Secondary Education, Scholarship for College, and University Students, National Fellowship and Scholarship for Tertiary Education of ST Students, SWAYAM (Study Webs of Active – Learning for Young Aspiring Minds) Project. 9 Specific SDGs have a wide scope to cover the following: Adjusted Net Enrolment Ratio (ANER) in elementary education average yearly dropout rate in secondary education (Rao et al., 2021 ), Gross Enrollment Ratio (GER) in Higher Secondary (Nehru & Shahi, 2021 ), Number of students in class 8 attaining at least a minimum competency level in terms of nationally specified learning outcomes to be reached by the students at the end of the year, Gross Enrollment Ratio (GER) in Tertiary Education, Proportion of people with disabilities aged 15 and older who have completed secondary school, Gender Parity Index (GPI) for Tertiary Education, percentage of individuals 15 years or above who are illiterate, the proportion of schools that have access to decent amenities (electricity, drinking water), Proportion of qualified teachers at secondary schools, Secondary Pupil-to-Teacher Ratio (PTR). 10 India has made great headway toward executing the “ Education for All ” plan (Pandey, 2018 ). Several important programs and initiatives like Sarva Sikhsha Avyan were established as a basic right to provide obligatory elementary schooling for all children aged 6 to 14 years. 11 Programs such as Sarva Siksha Abhiyan (SSA) and Right to Education (RTE) have provided a much-needed push to India's educational sector (Pahwa & Indira, 2021 ). Even, the country's enrolment rates in elementary education have considerably improved. 12

In this paper, we are looking forward to introducing and discussing India's current approach or initiatives aimed at achieving or contextualizing the SDG for education (stated as SDG 4) in the Indian perspective by incorporating them into the development of a new education policy, as well as its optimistic influence on the outcomes of quality training, as outlined by 2030. It covers basic, intermediate, and higher education trends in the nation and addresses several important challenges in the field of quality education and affordability in education. India has taken major steps to promote inclusive, equal, and excellent education (Hajdukiewicz & Pera, 2020 ). Although the education sector in India has seen tremendous development, the SDG's Objective 4 has still a long way to go (Rao et al., 2021 ). Such efforts will demand solid policies, careful supervision, and the funding needed. These efforts will substantially enhance a prosperous future, good jobs, and a better living standard through a decade-long educational mission for 2030, to enhance inclusive, equal, and decent education. 13

Aims and objectives

The goal of this research is to assess the Indian government's attempts to fulfill the Sustainable Development Goals for Education (SDG 4), particularly in the time frame 2030. In addition, we want to achieve the following objectives:

  • I. Analyzing the perspectives of Sustainable Development Goals for Education (SDG 4).
  • II. Investigate the current state and the accomplishments of the Indian government initiatives taken to implement SDG 4.
  • III. Apply an association rule mining algorithm to extract the pattern of association among different indicators of SDG 4 (Case study on Indian scenario).

Organization of paper

The paper is organized into the following sections; Related work presents an overview of research works and surveys on sustainable development objectives, with a focus on the Sustainable Development Goals for Education (SDG 4) and other related issues. Mainly, the work in this study is conducted in two phases. In Phase 1 , we emphasized more on exploring the insights of SDG, SDG 4, and various initiatives taken by the Indian Government for the accomplishment of SDG 4 in India. In specific Phase 1 includes the following sections; Sustainable Development Goals (SDG) section presents the sketch of the SDGs established by the United Nations to promote global development and peace. The section on the current state of SDG 4 implementation and achievement focuses on the current successes and evaluation of actions undertaken by governments all around the world. The crucial Initiatives by the Indian Government to attain Sustainable Development in Education are discussed in the next section. In Phase 2 , our main objective is to analyze the SDG 4 dataset (India country dataset only) for extracting the useful pattern of association among the indicators of SDG 4. For the achievement of this objective following steps are performed that are organized into the following subsections; Analysis and methodology subsection elaborates the way data is collected, how the pre-processing of the dataset is performed and includes the explanations of the methods, tools, and algorithms employed to achieve the specified objective. The graphical representation along with the statistical outcomes are represented in the Results section. In the discussion section, the elaborative interpretation of the obtained outcomes concerning the outlined research objectives is given. Besides, the conclusion and future recommendations section summarizes the conducted research work and suggests the direction for future work to assist concerned stakeholders.

Related work

The concept of sustainable development is not new (Tomislav, 2018 ). Many scholars have committed their efforts to developing ways to ensure the planet's survival. Since its inception, the United Nations has been dedicated to making the world a better place to live (Ban, 2016 ). To attain that aim, all member countries developed the Millennium Development Goals through a series of meetings. According to the research of Sachs and McArthur ( 2005 ), the Millennium Development Goals had little influence on the worldwide landscape. To accomplish the goal of sustainability, all United Nations member countries agreed in 2015 at the Sustainable Development Summit to establish sustainable development goals (SDGs). Since then, experts from all over the world have been reviewing and evaluating the aims of the Sustainable Development Goals and making recommendations that would pave the way for a more sustainable and developed future for all.

Muff et al. ( 2017 ) in their work stated that the 17 SDGs served as the foundation for the planet's long-term viability. These objectives directly target the difficulties and seek a constructive solution to the situation. Among the seventeen SDGs, SDG 4 is aimed at creating a sustainable education system for the people of the world. This SDG 4 contains seven objectives that address gender inequality in education, dropout rates in elementary, secondary, and higher education, and developing opportunities for the disadvantaged class, such as individuals from scheduled castes, indigenous people, and people with disabilities, among others. It also includes three sub-objectives that can help accomplish the seven targets listed in SDG 4.

Similarly, the Indian government has launched a slew of activities aimed at highlighting and achieving SDG 4 goals. SWAYAM 14 and DIKSHA, 15 among other attempts, have shown to be ineffective in the present pandemic scenario (Singh et al., 2021 ).

Several scholars have emphasized the necessity of eliminating gender disparities in education. Women are graduating at a greater rate and with higher marks. The government of India has created scholarship programs such as UDAAN 16 to improve the spirit of women and encourage them to pursue technical and vocational education. Scholarships have a significant influence on students since it has been seen that students who get scholarships are more inclined to engage in academic pursuits. Furthermore, because most scholarships are merit-based, it motivates students to study properly. After reviewing all of this research, we can conclude that the significance of Sustainable Development Goals is limitless. However, it should be noted that several obstacles must be overcome to attain sustainability.

Rammohan and Vu ( 2018 ) discovered that women's schooling attainment in India continues to trail significantly behind that of males. The findings give quantitative evidence of the involvement of many economic and social factors in educational gender inequalities. However, the patrilocal exogamy norm, in which wives migrate to co-reside with their husband's kin, is associated with poorer outcomes for women's schooling compared to men's schooling; and, according to anthropological research, gender-differentiated inequities in education are more pronounced in Northern India.

According to Pandey ( 2018 ), India has made significant progress toward implementing the Education for All program . As a Fundamental Right , numerous significant programs and policies have been implemented to provide free and compulsory education to all children aged six to twelve years. The government must look at some of the major issues affecting quality education and accessibility in India's educational system. Beena ( 2019 ) pointed out the work that India has promised to offer all children with inclusive and equitable quality education by 2030. Initiatives such as the Sarva Shiksha Abhiyan (SSA) and the Right to Education (RTE) have given India's education system a much-needed boost. However, significant progress toward universalizing primary education has been accomplished, as seen by improvements in enrolment, retention, and other physical infrastructure.

Sajan and Medona ( 2021 ) address the fact that India has had a rich scientific and knowledge legacy from ancient times. However, decades of foreign control wiped out the country's knowledge systems. Modern India boasts a rich intellectual history, as well as world-class education and research institutes like the Indian Institutes of Technology (IITs), the Indian Institute of Science (IISc), and prominent universities. The resources offered, however, are only available to a wealthy minority, not to the majority who cannot afford them. Though equal access to information and education is one of the fundamental rights guaranteed by the Indian Constitution, it is a Herculean task to achieve. Informatics can help to make resources more accessible and learning a more open and free activity, independent of geographical distance or individual economic circumstances. E-learning enables the sharing of study resources in several media formats, including live interactions, videos, slideshows, word documents, and PDFs, as well as the delivery of live online courses and communication via chats and messages. The article investigates the Indian government's intentions to transform knowledge and education systems to be network-compliant, intending to provide fair access to everyone. We anticipate that the findings of this research will assist the Indian government in strengthening its activities and considering immediate steps to achieve sustainability in the Indian education system.

The proposed work is unique in its terms, as we are looking forward to exploring the work and initiatives that are being executed and accomplished by the Indian government for the accomplishment of the SDG 4 goal of education. Further, we are motivated to dig inside the SDG 4 dataset obtained from NITI Aayog to get insights into the pattern of association that exist among the different indicators of SDG 4.

Sustainable development goals (SDG)

Sustainable development goals seem to be at the foundation of modern global government schemes focused on making the globe a fairer place to live (World Health Organization, 2016 ). These SDGs are particularly dedicated to promoting sustainable development and also will act as a protracted sustainability roadmap (Mensah, 2019 ). Specifically, the SDGs are more inclusive and effective than their forerunners, the Millennium development goals (MDGs) (Battersby, 2017 ). All agreed United Nations members created a blueprint for bringing prosperity to the globe and ensuring its preservation. The framework is currently known as the Sustainable Development Goals (SDGs). These SDGs are a rallying cry for both rich and developing countries to take urgent action to forge global cooperation. These SDGs targets a variety of challenges, including poverty, quality education, gender equality, economic growth, and climate change (refer to Fig.  1 ).

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Sustainable Development Goals (SDG)

To achieve sustainable development by 2030, all countries must commit to putting global goals into action (Naidoo & Fisher, 2020 ). The United Nations has formed a department to give considerable support to nations to help them achieve sustainability. In this research, our main focus is on exploring the insights of SDG 4 (explained in Sect.  5.1 ). We also aim to look at the current state of SDG 4 implementation and accomplishment (refer to Sect.  5.2 ). Further, we are committed to analyzing varied crucial initiatives taken by the Indian government for achieving the goals of SDG 4 (explained in Sect. 5.3).

Sustainable Development Goal 4 (SDG 4)

Education for everyone has always been an important component of the agenda for sustainable development (Agbedahin, 2019 ; Leicht et al., 2018 ). According to Wals and Kieft ( 2010 ) internationally, there is a rising acknowledgment of education for sustainable development (ESD) as an essential component of excellent education and a vital facilitator of sustainable development.

SDG 4 (refer to Fig.  2 ) is intended to ensure inclusive and equitable quality education and to encourage lifelong learning opportunities for everyone, and it includes seven objectives and three methods of implementation (Ferguson et al., 2018 ; McKay, 2018 ; Webb et al., 2017 ). Even though the goals were formed through a lengthy consultation process led by member countries, civil society, educators, unions, intergovernmental agencies, regional organizations, the private sector, research organizations, and endowments were all engaged (Elmassah et al., 2021 ). Later, the Higher Education Sustainability Initiative (HESI) was established as a collaboration of several sponsoring UN entities such as UNESCO, UN-DESA, UNEP, Global Compact, and UNU, to galvanize commitments from higher academic institutions to instruct and promote research on sustainable development (Paulette, 2019 ). This involves greening campuses and assisting with regional sustainable practices. GAP and HESI seek to assist universities in developing sustainability plans in collaboration with the larger community, as well as assisting institutions in implementing sustainability into academic activities, administration, strategy, and management. The details of SDG 4 and its components are explained in the subsequent paragraphs.

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Sustainable Development Goal (SDG) 4 and its components for education

SDG Target 4.1

Aiming that all girls and boys get affordable, inclusive, and high-quality primary and secondary education by 2030, resulting in relevant and effective learning outcomes (Miles & Singal, 2010 ; Raina, 2019 ). A minimum of 12 years of free, publicly funded, accessible, equal, and decent quality primary and secondary education – including at least nine years are mandatory and lead to meaningful educational outcomes – should be provided to all without prejudice (Heymann et al., 2020 ; Kovač Šebart et al., 2021 ).

SDG Target 4.2

Assure that all girls and boys have access to high-quality early childhood education, care, and pre-primary education by 2030 so that they are prepared for elementary education (Haslip & Gullo, 2018 ; Murray, 2021 ). It is urged to provide at least a year of free and obligatory comprehensive pre-primary education, administered by well-trained instructors, as well as childhood development and aftercare (Hazegh, 2019 ; Impact Initiative, 2021 ).

SDG Target 4.3

Ensure that all women and men have equitable access to cheap and high-quality technological, vocational, and post-secondary schooling, including universities, by 2030 (Owens, 2017 ; Shiohira, 2021 ). It is critical to remove obstacles to professional development and technical and vocational education and training (TVET) beginning at the secondary level (Douse & Uys, 2018 ; Wilson, 2001 ), as well as to postsecondary education, including university, and to create possibilities for lifelong learning for adolescents and adults (Gregg, 2007 ; Kallen & Bengtsson, 1973 ; Laal et al., 2014 ). University education should be gradually made free, in accordance with the existing international accords.

SDG Target 4.4

Boost the number of young people and adults with necessary skills, including technical and vocational skills, for jobs, decent-paying jobs, and entrepreneurship by 2030 (Blanchflower, 2019 ; McKinley & Huebner, 2018 ). Access to TVET must be made more equitable while maintaining quality. Training programs should be expanded and varied via the use of a variety of education and training methodologies, so that all adolescents and adults, particularly girls and women, may gain appropriate information, skills, and competencies for decent employment and livelihood (Hamburg, 2020 ; Picatoste et al., 2018 ). Aside from job-specific skills, emphasis should be placed on producing advanced sensory and non-cognitive/transferable skills such as pattern recognition, logical analysis, ingenuity, team cohesion, interpersonal skills, and dispute resolution, which can be applied across a variety of work environments (Avsec & Jagiełło-Kowalczyk, 2021 ; Mumford & Gustafson, 1988 ; Whetten, 2011 ).

SDG Target 4.5

Eliminate gender inequalities in education and guarantee equitable access to all types of technical and vocational education for the disadvantaged, including disabled individuals, native communities, and vulnerable populations, by 2030 (Do et al., 2020 ; Felice, 2002 ). Everyone, regardless of gender, age, race, color, ethnicity, language, religion, political or other beliefs, national or social origin, property, or birth, should have equal access to inclusive, equitable quality education (Braveman, 2010 ; Koehler, 2016 ; Mitchell, 2016 ). Persons with disabilities, indigenous peoples, ethnic minorities, and the impoverished are vulnerable populations that require special attention and specialized measures. According to the statement, all girls and boys, women and men, should have an equal chance to receive a high-quality education, succeed at equal levels, and get equal advantages from education (Koehler, 2016 ; Mechanic & Tanner, 2007 ; Morawa, 2003 ; O’Reilly, 2007 ). Gender-based abuse, child marriage, early pregnancy, and a high burden of domestic tasks all require particular consideration.

SDG Target 4.6

Make sure that just by 2030, all adolescents and a significant number of adults, including women and men, have achieved reading skills and quantitative skills (Harrowell et al., 2018 ; Park et al., 2017 ). The modern view of readability as a spectrum of competency levels in a particular environment underpins the ideas, methods, and activities toward this objective. It goes far beyond the basic divide of literate vs illiterate (Akrong, 2021 ). As a result, action towards this objective aims to ensure that by 2030, all young individuals worldwide have attained appropriate and recognized competence levels in functional reading and numeracy abilities that are equal to levels attained upon successful implementation of primary education (Grotlüschen et al., 2020 ;Hanemann, 2019 ).

SDG Target 4.7

Ensure that all learners have the knowledge and experience necessary to achieve sustainable development by 2030, including through effective teaching and sustainable lifestyles, civil rights, sexual equality, appreciation of cultural diversity, harmony and pacifism, internationalization, and appreciation of diversity and culture's involvement in sustainable growth, among many other things (Askerov & Askerov, 2010 ; Vrdoljak & Meskell, 2021 ; Windorf, 2020 ). It is critical to prioritize academia's involvement in the fulfillment of social rights, democracy, and good governance in all sectors, from local to global. Such education's material must be practical, with an emphasis on both intellectual and non-cognitive elements of learning (Garcia, 2016 ; Gibbons, 1998 ). Education for sustainable development (ESD) and global citizenship education (GCED) may be obtained via multicultural understanding and multinational comprehending education (Deng, 2019 ; Wintersteiner, 2018 ; Žegunienė, 2020 ).

SDG Target 4. a

Construct and improve educational facilities that are child, handicapped, and sex sensitive, and that would provide safe, peaceful, equitable, and productive teaching practices for all (Ahmad, 2015 ; Beck, 1990 ; Gordon & Browne, 2016 ). This goal emphasizes the need for appropriate infrastructure facilities and fair, effective education settings for all people, irrespective of their past or physical condition.

SDG Target 4. b

By 2020, significantly increase the number of fellowships open to students from poor nations for tertiary education enrollment. Sponsorship may be extremely beneficial in giving chances to adults and young people who might otherwise be unable to complete their studies (Spooren et al., 2017 ; Sugiyarti et al., 2018 ; Turner, 1960 ). Grants should be aimed at young individuals from socioeconomically disadvantaged, in accordance with the SDG 4—Education 2030 focus on fairness, inclusiveness, and excellence.

SDG Target 4. c

Influence the availability of competent teachers significantly by 2030, notably through the international collaboration for professional development in developing nations, particularly the least developed countries and small island developing states. According to Secretary-General Ban Ki-moon, educators are critical to attaining all of the SDG 4 objectives. The scarcity and unequal distribution of properly qualified teachers, particularly in poor regions, exacerbates the equity gap in schooling.

Other Sustainable Development Goals that are directly connected to SDG 4:

  • A Health and happiness ( SDG 3 target 3.7 ) -By 2030, provide universal access to sexual and reproductive healthcare services, including family planning, data, and information, as well as the incorporation of reproductive rights into government policies and programs (Cowell, 2006 ; Eide & Showalter, 2011 ).
  • B Gender equality ( SDG 5 goal 5.6 )-Number of nations with legislation and rules ensuring access to reproductive healthcare services, knowledge, and education for women between 15–49 years (Unterhalter et al., 2014 ; Whaley et al., 2013 ).
  • C Good work and long-term growth ( SDG 8 target 8.6 ) -By 2020, greatly decrease the number of young people who are not in work, schooling, or development.
  • D Responsible consumption and manufacture ( SDG 12 objective 12.8 )-By 2030, making sure people worldwide have the necessary insights and knowledge for sustainability and environmentally friendly lifestyle choices.
  • E Climate change abatement ( SDG 13 goal 13.3 )-Improve teaching, information campaigns, and infrastructural ability in environmental protection, adaptability, education and awareness, and warning.

The current state of SDG 4 implementation and accomplishment

The world is in the grip of Covid-19's destruction. Education systems throughout the world are among the worst affected. Covid has erased 20 years of educational progress (Khan et al., 2020 ; Rohwerder, 2020 ). Furthermore, 101 million, or 9% of students in grades, will be unable to meet basic reading competence by 2020 (Calet et al., 2017 ; Gamu & Damole, 2021 ). According to a recent poll, around 55% of the population is illiterate (Amin, 2019 ; Olaniran, 2020 ). To be more exact, 9 percent have minimal competence, while the remainder has no proficiency (Pienaar et al., 2021 ). There is deterioration in the situation, which is causing delayed progress in school completion (Aina et al., 2018 ). Although participation in structured pre-primary schooling is increasing (Alcott et al., 2020 ). In terms of numbers, it has risen from 65 percent in 2010 to 73 percent now (in 2019) (Chatterjee et al . , 2020 ). Even if the completion rate of secondary and elementary education has marginally risen, fundamental school infrastructure is still lacking in many institutions throughout the world. According to Dr. David Perry , the COVID-19 pandemic's impact on education is a " generational tragedy ". 17 According to him, the most vulnerable children and those who cannot access virtual education are more likely to drop out of school and be coerced into early marriage or child labor. Perry stated that to meet the education objectives outlined in the Global Goals, we must prioritize remedial and catch-up initiatives. In 2019, there were only 92 literate women and girls 15 years of age or older for every 100 literate males and men of the same age. According to  Carr et al. ( 2021 ), the pandemic will result in a reversal of recent gains toward educational fairness. 18

Initiatives by the Indian government to attain sustainable development in education

India, being the home to one-sixth of all humanity, holds the key to the achievement of the 2030 Agenda. 19 Since Indian independence, successive Indian governments have addressed several key challenges in education by introducing new educational policies and schemes as a part of its development agenda i.e., ‘ Sarva Shiksha Abhiyan’ , ‘ Rashtriya Madhyamik Shiksha Abhiyan’ , ‘ Right to free & compulsory Education Act’ etc. (Saini et al., 2021 ; Singh et al., 2021 ). However, as per the ‘British Council India report, the current Indian education system is guided by different objectives and goals but is primarily based on the policies of yesteryears (Mohanty & Dash, 2018 ).

SWAYAM PROGRAMME

The program gets its name from Study Webs of Active –Learning for Young Aspiring Minds (Kumar & Mahendraprabu, 2021 ). Instructors from government-financed schools like IITs, IIMs, and central universities will provide online training to residents of the nation as part of this initiative. 20 All courses will be available for free study. If the learner desires an Authenticated Certificate, a modest cost will be charged. In the first phase, IIT Bombay, IIT Chennai, IIT Kanpur, IIT Guwahati, University of Delhi, Jawahar Lal Nehru University, IGNOU, IIM Bangalore, IIM Calcutta, and Banaras Hindu University will train students in engineering education, social science, power, governance, and science courses on their own and with the assistance of academic staff from international schools.

National E-Library

The E-Library is envisioned as an online portal that will democratize access to knowledge by ensuring quality content from central universities and top-ranked academic institutions is obtainable in a digital format that students, working professionals, and researchers across the country can easily access via laptops, smartphones, tablets, and PCs. 21 The international partnership has been offered by Israel, Norway, UK, UNESCO. The National E-Library has been operating since the 2015 academic year.

It is a program to facilitate differently-abled students with scholarships. 22 The AICTE has agreed to give 1000 scholarships each year to differently-abled students to pursue technical education purely on merit in the qualifying test. The scholarship amount would be Rs. 30,000 or tuition costs, whatever is less, plus Rs. 2000 monthly for ten months also as a contingency allowance.

Beti Bachao Beti Padhao Abhiyan

The Ministry of Primary Education and Literacy has assisted the Ministry of Women and Child Development in implementing the “Beti Bachao Beti Padhao” Abhiyan in 100 districts across the country to improve the gender ratio and the position of the female child. 23 The “Beti Bachao Beti Padhao” Abhiyan is instituting an incentive for School Administration Boards that accomplish 100 percent migration of females at all stages of schooling.

UDAAN is a Central Board of Secondary Education (CBSE) project that enables underprivileged girl students as well as other students from vulnerable positions and minorities to transition from school to post-secondary technical learning, particularly in Mathematics and Science. 24 The initial mission of UDAAN is to tackle the low enrollment of girls in engineering institutions, which is now around 23% of girls against 77% of boys. It seeks to bridge the gap in quality between post-secondary and engineering education entry systems by focusing on three dimensions: curriculum design, transaction, and assessment. This will be accomplished through enhancing and complementing Mathematics and science curricula at the Senior Secondary level. The CBSE will give free and online resources to the whole student population, with additional incentives and assistance available to a thousand chosen underprivileged females each year.

Swami Vivekananda Single Girl Child Scholarship for Research in Social Sciences

The University Grants Commission (UGC) has devised this initiative, which offers 300 scholars with Junior Research Fellowships worth Rs. 8,000/—10,000/- monthly beginning in every academic year. 25

The goal of this project is to assist girls in advancing in technical education. 26 The AICTE plan provides for the selection of one girl per family with a household income of fewer than 6 lakhs per year to pursue technical education based on merit in the qualifying examination. The system will be executed by the individual state governments' authorized admission centers. Scholarships are intended to assist 4000 females every year. The scholarship amount is Rs. 30,000 or tuition costs, whichever is less, plus Rs. 2000 per month for ten months as a contingency allowance.

Students from the North East Region are eligible for a special scholarship program. 27 From the 2014–15 academic year, the UGC has introduced a unique scholarship scheme for students from the North East Region. The scheme envisions awarding 10,000 scholarships to students from the North East Region whose family income is less than Rs. 4.5 lakh per annum, with scholarships ranging from Rs. 3,500 to 5,000 per month for studying at the undergrad level at colleges/universities across the country.

Ishān Vikās

Ishan Vikas is a powerful approach to bringing chosen students from the North-Eastern states' school and college levels into close touch with the IITs, NITs, and IISERs during their holiday times. 28 A typical ten-day visit to one of these schools is planned, in the form of either exposure or an internship. Each school will send one teacher to follow a group of about 32 pupils from classes IX and X, as well as eight teachers. In the summer and winter, the college students would be divided into two groups of 32 students each. During the academic year, about 2016 college students and 504 instructors from N-E will tour renowned institutes such as IIT/NIT/ IISERs. or Centrally Funded Technological Institutes) will be accepted with scholarships and travel. Each year, about 250 students from 25 institutions will visit 16 IITs and 6 NITs (to begin with, six NITs are being considered). A summary of all the initiatives of the Indian government and their connections with the SDG elements are represented in Table ​ Table1 1 .

Summary of initiatives and their associations with SDG4 elements

Apart from all these initiatives few other programs like Padhe Bharat Badhe Bharat (PBBB), The Rashtriya Avishkar Abhiyan (RAA), Information and Communication Technologies (ICT), Saransh, Shaala Siddhi (Self–assessment of all schools and External Evaluation of sample schools), Pota Cabins – Residential Schools for Children in LWE-affected areas, Pratibha Parv – Strengthening Quality of Education in Government Schools, Saakshar Bharat – Sustaining and Enhancing Efforts in Adult Education Swachh Vidyalaya has been started or upgrading to improve quality education in India (Sharma et al., 2020 ).

The state governments in collaboration with the central government have started a few programs for the development of education and to remove the barriers (like increased dropout rate among rural students) (Rajput et al, 2020 ).

The Bihar government started Mukhyamantri Balika Cycle Yojana to provide affordability to students especially girls to come to school. This program has not only improved the school enrolment among girls but has drastically reduced the dropout rates. The state government of Gujarat started ‘ Migration Card and Migration Monitoring Software’ to track and monitor migrating students. Since migration for seasonal employment is one of the most crucial factors for dropouts from school. The Mizoram state initiated the ‘ Each One Teach One Method’ program for making education reachable to every student in the state. The state government of Himachal Pradesh started the ‘ Reaching to out of School children’ program to make sure no student should remain out of school.

Apply an association rule mining algorithm to extract the pattern of association among different indicators of the SDG 4 dataset (Case study on Indian scenario)

Data analysis and methodology.

The data analysis and methodology include details on the database collection for the study procedure, information on data preprocessing and filtration, techniques, and computational methods designed to achieve the stated objectives of this study (refer to Fig.  3 ).

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Data analysis methodology

Data collection

The data for the purpose and research is gathered from trustworthy sources such as the World Bank data repository, 29 UNSTATS, 30 UNESCO, 31 as well as others. We have considered yearly statistics from 1990 to 2020, intending to achieve the objectives of this study. In specifically, the attributes of the dataset are derived from World Bank Sustainable Development Metrics, 32 UNICEF Data Archives, 33 UNDESA Open Access Archives, 34 UNSTATS, 35 and WHO SDG indicator databases. 36 Some data was also gathered through surveys conducted by the government of India and preserved at the data archive of India, the ASER Center of India, 37 and the ministry of education 38 of India. Data was also obtained from reputable data source websites such as Trade Economics, 39 Knoema, 40 and Kaggle. 41 The collected data is organized in the following indicators (I 1 to I 11 ) as shown in Table ​ Table2 2 .

Indicators of Sustainable development goal for education (SDG 4)

Data pre-processing

The data collected from multiple sources is first integrated (Wold et al., 2010 ). As the integration of the dataset facilitates the adequate handling and attainment of specified objectives of the study to explore the association among the indicators of SDG 4. Further, the filtration and cleansing of data are performed as the subsequent processes of data pre-processing (Hariharakrishnan et al., 2017 ). This procedure facilitates the removal of abnormalities from the data set and prepares it for analysis (García et al., 2015 ).

Data in the real world is frequently sparse, noisy, and erratic (Famili et al., 1997 ). This might result in low-quality data collection and, as a result, low-quality models based on that data (Bilalli et al., 2018 ). Data Preprocessing includes procedures that can organize data into a correct shape for better comprehension in the data mining process to solve these challenges. In the process of data cleaning, we target eliminating the data outliers, restoring null values, normalizing noisy data, and rectifying inconsistencies in data (Dasu & Johnson, 2003 ). It is an important stage in the data preparation process since incomplete, inaccurate, or erroneous data might jeopardize the trustworthiness of study results (Xiong et al., 2006 ). We processed our data for further analysis using two approaches.

Handling the missing values

During the evaluation of the data set, it was discovered that certain indicators had null (or no) values. It contributes to the problem of uncertainty and heterogeneity in data evaluation. We used the Interpolate Method to solve the problem (Chai et al., 2020 ). Interpolation is a technique for estimating unknown data points between two data points.

A set of data points, gathered by sampling or testing, are frequently used to indicate the values of a variable for a small number of independent variable values. Interpolation, or estimating the value of a variable for an intermediate position of the independent variable, is frequently necessary. Data that represents a specific pattern or periodicity is referred to as time-series data. Analyzing time-series data differs from typical data frames in a few ways. We can't utilize mean imputation approaches to cope with missing values when we have time-series data. Interpolation is a strong approach for filling null values in a time-based dataset and is thought to be the efficient strategy for filling missing values in most circumstances. That's why after careful consideration we picked Linear Interpolation as the best approach required for analyzing the data sued in this study. For this study, the Linear interpolation approach is employed, and the mathematical model for linear interpolation is given in Eq.  1 . Linear interpolation is a method of computing intermediate data between measured values by plotting the data hypothetically between two nearby values obtained (Huang, 2021 ; Noor et al., 2014 ). Linear interpolation is defined as the concatenation of linear interpolants between each pair of data points on a set of data points (m0, n0), (m1, n1),…, (mn, nn). Furthermore, because we have identical data for each category in the database, it aids in a comprehensive quantitative evaluation of the data set.

Data normalization

Data normalization is an important element of data pre-processing. The process of learning and the resultant model may be harmed by the noise that affects the input characteristics or output class. The level to which noise impacts the database can be measured in terms of each attribute's data value, as well as the attribute's lowest, peak, and standard deviation. To correct the noise in our data set, we chose the Relative Neighborhood Graph Edition Filtration method among a variety of data normalization approaches (Jaromczyk & Toussaint, 1992 ). Further, the mathematical representation of the Relative Neighborhood Graph Edition Filtration method is given in Eq.  2 .

The pattern in this procedure determines the parameters of the data class and constructs a closeness undirected graph [G = (V, E)], in which each vertex(V) correlates to a Training Set instance (TR). There is a set of edges E, and (x i , x j ) belongs to E if and only if x i and x j fulfill some neighborhood relation, and these instances are called graph neighbors. The point graph neighborhood is made up of its graph neighbors. As a result, the data is normalized with more relevant data for the remaining variables.

Exploratory Data Analysis (EDA)

Exploratory Data Analysis (EDA) is a process for analyzing and investigating data sets, summarizing their major properties, and applying data visualization tools (Behrens, 1997 ). With the use of descriptive statistics and pictorial depictions, exploratory data analysis corresponds to the crucial process of doing first investigations on data to uncover patterns, spot anomalies, test hypotheses, and check assumptions. In the initial step, the implication of various statistical evaluations provides an understanding of the dataset. This implication helps in obtaining the appropriate results, as well as making it simpler to identify patterns from the dataset, rule out data anomalies, test hypotheses, and check assumptions. EDA is mostly used to uncover patterns that go beyond the formal modeling or inferential statistical tasks, as well as to offer a deeper knowledge of the data set elements and their connections (Braham & Ben-Zvi, 2017 ; Makar & Rubin, 2009 ; Ratner, 2017 ). The significant elements that shape the nature of EDA and its structural model are as follows:

It is essentially the same as researching data before making any type of claim. EDA help in ensuring that the results are legitimate and relevant to any intended business objectives and goals. Kendall's method of correlation is one of the most reliable mathematical methods of creating a plot in EDA (Lapata, 2006 ; Mao, 2018 ; Muñoz-Pichardo et al., 2021 ). The method follows the following equation:

For this study, we can take data values of n attributes (or indicators) measured at a specific instance of time. We can select all possible pairs of observations (x i ,y i ) and (x j ,y j ). Overall, there are N  =  n(n-1) the possible number of pairs.

EDA acts as a primer step for the implication of other advanced data analytic tasks like data modeling , classification , clustering , thresholding , multivariate visualizations , and predictive modeling (Iraji et al., 2021 ; Trevino, 2001 ; Xu, 2003 ).

Numeric Association rule mining

Association rule mining is employed to examine and extract the unique patterns and rules from a huge quantity of data (Zhao & Bhowmick, 2003 ). The Numeric Association Rule Mining (NARM) is the best approach as these patterns indicate remarkable linkages and interactions between distinct factors between the SDGs. Furthermore, the identification of interesting connections and links among vast collections of data objects is made possible by association rule mining. NARM is used in this article to find the connection between SDG 4 and other SDGs. Association rules aid in the identification and forecasting of relational properties relying on data from beneficial properties training datasets. Most of the algorithms in classical association rule mining operate in two stages (Hahsler, 2017 ). All frequent itemsets are discovered in the first phase, and rules are created in the second (Hipp et al., 2000 ). It is observed that the traditional association rule mining methods only operate with binary or categorical (qualitative) data items and do not work efficiently for numeric (quantitative) data items (Zaki, 1999 ). For this purpose of extracting and electing the association rules from the numeric dataset, the NARM algorithms (methods or techniques) like the distribution method, the discretization method, and the optimization method are utilized. In this study, we are using a Biology Inspired NARM, more precisely a genetic algorithm (QuadMiner algorithm). The parameters required for the evaluation of the collected quantitative dataset are as follows (refer to Eqs.  6 and 7 ) (Rastogi & Shim, 2002 ):

where each character is associated with a lower and upper bound. When compared to categorical association rules, these rules are broader and contain more information (Mata et al., 2002 ; Zaki, 1999 ).

Genetic Algorithm Approach

The genetic algorithm is an example of an evolutionary algorithm. It is a biology-inspired algorithm that follows the Darwinism adaptive theory concept (Moslehi & Haeri, 2020 ; Shahin et al., 2020 ). In specific, we are utilizing the QuantMiner genetic algorithm rather than other genetic algorithms such as GENAR and GARPLUS because QuantMiner, unlike other genetic algorithms, is based on identifying appropriate intervals in the dataset by maximizing both support and confidence (Salleb-Aouissi et al., 2013 ). The population size, number of generations, mutation rate, and crossover rate are all needed parameters for the QuantMiner genetic algorithm (Nagao & Seki, 2016 ). QuantMiner is a heuristic algorithm that mines statistical association rules. QuantMiner operates on a collection of constraint patterns directly. In addition, QuantMiner has a predefined rule framework for the generation of quantitative association rule that is either selected by the user or derived by the system. It acts as the primer point for the rule mining operation. Using a Genetic Program, the algorithm searches for the optimum intervals for the numeric characteristics that occur in each rule template. A rule pattern is specified by the collection of characteristics that appear on both the lateral sides of the rule. The value for each category attribute is either set by the user in the framework or calculated by QuantMiner . Let I 1 …I n be the non-instantiated quantitative attribute. QuantMiner approximates the frequent patterns based on I 1 , …, I n , i.e., the collection of variants J 1 , …, J n such that I 1  = J 1 …I n  = J n is frequent and generates a rule framework. The formal description of the QuantMiner is given in Algorithm 1.

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Results and analysis

In the first phase of evaluation, we applied the explanatory data analysis to the dataset concerning the 11 indicators of SDG 4 (refer to Table ​ Table2). 2 ). We ultimately gain a basic understanding of the dataset by doing exploratory data analysis. Table ​ Table3 3 represents the standard statistic measures (mean, standard deviation, min value, and max value) of the data respective to all indicators of SDG 4. These values aid in identifying data variations, average value, and the range of the data set. Further, Fig.  4 visualizes the overview of the data set representing the lowest, highest, median, and denser range of the data corresponding to indicators of SDG 4. It is observed that the minimum value for ‘ I1 ’ is 39.7 and the maximum is 97.71, whereas the whole data set is scattered around the range of 72–96.

Basic outlook of the data from EDA

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Box plot extracted from the analysis of the dataset

Paradoxically, the strength of the link between the indicators can be figured out using correlation metrics. The correlation matrix (refer to Table ​ Table4) 4 ) depicts the association between each dataset concerning the others. The correlation results reveal that there is a tight relationship between indicators I4, I5, I6, I9, and I10. The correlation between ‘I2' and ‘I5' is 0.91, indicating that they are highly and positively connected, whereas the correlation among indicators ‘I3’ and ‘I7’ is 0.30 signifying a low degree of dependency. The correlation strength can be observed by going through the Pearson coefficient table (see Table ​ Table5). 5 ). The high degree of connectivity among ‘I2’ and ‘I5’ indicators stipulates that the Gross enrollment ratio in organized learning is significantly connected to the number of young individuals in elementary schools.

Correlation matrix

Pearson correlation coefficient

Further, QuantMiner is used to generate association rules among the data set. Table ​ Table6 6 represents the number of rules associated with the respective support measure. It is observed that around 4052 rules were generated at a support rate of 50 to 60% range with 100% of confidence. The least number of rules is associated with a support rate of above 90 percent at the maximum degree of confidence. Figure  5 represents a visualization of the rules associated with each transaction of the data set at the support rate of 90%. We have represented the visualization of only 90% support for the reasons of reducing complexity and fitting data inside the arc diagram. The size of the dots in the figure signifies the weight associated with that particular indicator. Each arc connectivity symbolizes the association among specified rules inside the provided dataset.

Perfromance measures and number of association rules

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Visualization of rules with a support rate between 90 to 100%

Research Objective I: Analyzing the perspectives of Sustainable Development Goals for Education (SDG 4) .

SDG 4 aims to make the world a more sustainable place to live (Kumar et al., 2016 ). Every aspect of society, as we all know, is linked to one another and the impact of one factor on the other parts of society can be either beneficial or harmful (Chalmers, 2019 ). Education is such a significant component of contemporary civilization that it can influence all other aspects of society (Durkheim, 2012 ). For example, to eliminate unemployment, a trained workforce is needed which is possible with education (Brown & Lauder, 1996 ). Furthermore, to achieve gender equality in all areas, educating females is required so that they may gain the same abilities as males and have the same rights (Unterhalter & Aikman, 2007 ). SDG 4's goals are to address all global issues that are directly or indirectly related to education and that may be addressed via effective global citizen education (Griffiths, 2021 ).

Additionally, to obtain effective learning outcomes the aims are to provide affordable and high-quality primary and secondary education to every student, 12 years of free education, funding, and equality of education by targeting a deadline near the end of 2030 (Ferguson & Roofe, 2020 ). The SDG is keen to improve students' efficiency from the very early stages of education by engaging well-trained instructors, childhood development programs, and free education programs. The efficient implementation of the SDG4 is supposed to lead to the possible solution to many global issues like unemployment, gender inequality, and others.

It was expected that by the end of 2030, all adolescents, including women and men have achieved at least reading and quantitative skills. It is to be ensured that all learners have the knowledge and experience necessary to achieve sustainable development within the prescribed period (Malik, 2018 ).

Research Objective II: Investigate the current state and the accomplishments of the Indian government initiatives taken to implement SDG4

The education system throughout the world gets greatly affected by the sudden rise of Covid-19 (Singh et al., 2021 ). India is among the worst affected nation by this novel coronavirus (Pillai et al., 2020 ). The Indian government has taken several initiatives for making education possible during this period (Singh et al., 2021 ). Apart from the current state, the government of India is keen to provide high standard education by regulating timely updating and needly changes in the education system. The current released New Education Policy 2020 is among the continuation process of educational growth under the Sustainability development goal (SDG 4).

The Indian government has come up with many efforts to address the issues in the implementation of SDG4 (Mohanty & Dash, 2018 ). The SWAYAM program and the National E-Library are launched with the motive to deliver quantity and quality in education. These programs enable students to enroll in courses taught by the top professors from IITs, IIMs, and other prestigious universities, as well as access associated academic materials (Kumar & Mahendraprabu, 2021 ). These campaigns have been quite helpful in educating the general public about the Covid-19 predicament (Singh et al., 2021 ). As the whole educational system moved to an online format, this project gained traction and expanded its scope. The Indian government has launched programs such as Beti Bachao Beti Padhao and PRAGATI to address issues such as gender discrimination (Jadhav & Bagul, 2021 ). According to current statistics, the nation's Gender Parity Index (GER) has improved dramatically, according to the All-India Survey on Higher Education (AISHE) 2019–20. 42 Female involvement in higher education climbed by 18.2 percent throughout this time. 43 The government sustained focus on girls' education, women's emancipation, and the enfranchisement of socially and educationally backward communities, according to the report, is reflected in the increased participation of women, SCs, and STs in postsecondary education (Sahoo, 2016 ).

Some of the significant achievements with the implementation of these initiatives are:

  • In 2019–20, cumulative participation in higher education is 3.85 crore, up from 3.74 crores in 2018–19, representing an increase of 11.36 lakh (3.04 percent). In 2014–15, there were 3.42 crore students enrolled. 44
  • In 2019–20, the Gross Enrolment Ratio (GER), or the proportion of students in the qualifying particular age group enrolling in postsecondary learning, is 27.1 percent, compared to 26.3 percent in 2018–19 and 24.3 percent in 2014–15. 45
  • In Higher Education, the Gender Parity Index (GPI) for 2019–20 is 1.01, up from 1.00 in 2018–19, showing that women of appropriate age groups have better access to postgraduate schooling than boys. 46
  • 3.38 million students are enrolled in undergraduate and graduate programs. Nearly 85 percent of the pupils (2.85 crores) were registered in the six major fields of humanities, sciences, commerce, engineering and technology, medical science, information technology, and computer science.
  • In 2019–20, the pupil-to-teacher proportion in postsecondary learning is 26 and even the overall population of educators is 15,03,156, with 57.5 percent males and 42.5 percent females. 47

Research Objective III: Apply an association rule mining algorithm to extract the pattern of association among different indicators of SDG4(Case study Indian Scenario)

The data concerning the Sustainable Development Goals is collected from multiple reputable resources over the previous 30 years for the Indian region.

We can look at the link between the multiple SDG 4 objectives using the association rule mining approach. The generated rules demonstrate the association among the indicator of sustainable development at a fixed level of confidence over a variation among the support values. Following are the few possible interpretations of the association among the indicators that we have extracted with the implication of the association rule mining algorithm (refer to Sect.  7.2 ):

  • The Gender Parity Index has a strong link to youth and adult training participation. According to the famous poet, Kazi Nazrul Islam 48 “ Everything great in the world, all the works, beneficial and good, half must be credited to woman, and to a man half only we should .” We could grow the number of adolescents and adults in training if we could reduce the disparity between genders in terms of enrollment in educational institutes and training facilities. Which will address two pressing issues: unemployment and gender disparity.
  • The Gross Enrolment Ratio in Organized Learning has a strong relationship with the percentage of young people at primary levels (Kingdon, 2007 ). Pre-primary and primary learning are two terms for organized learning. The more pupils enroll in elementary school, the more fundamental literacy is taught to them. And this has an impact on a given age group's gross enrollment ratio. Government initiatives have a direct influence on this. Many impoverished children have enrolled in elementary school as a result of government efforts such as "Free Primary Education" and "Mid-day Meal." As a whole, the literacy rate has risen significantly.
  • The percentage of young people in secondary school is linked to measures such as the quantity of scholarship funding available to impoverished pupils (Brock, 2010 ). Due to financial difficulties in the family, many students leave out after elementary school. As a consequence, many brilliant brains are denied the opportunity to blossom. Scholarships enable these great minds to develop and broaden their horizons.

Since the SDG4 indicators are associated with each other so upgrading one indicator will reflect its consequences on the other indicator as well. We have found several such associations (as discussed above) of patterns among individuals and groups of indicators. The findings will aid the appropriate authorities in their investigation of SDG 4 implementation in the nation. Because the findings reveal a link between several SDGs, relevant parties may now focus on aspects that need to be prioritized. Working to ensure the correct implementation of the other SDGs can significantly simplify the implementation of SDG 4 because one or more SDGs can have an impact on it directly or indirectly. Furthermore, governments should review their current initiatives to see whether they might be reinforced based on the conclusions of this article's SDG relationship analysis. This will contribute to the effective implementation of the SDGs and promote a higher quality of life for all populations.

Conclusion and future recommendations

Worldwide nations are engaged in making education better, and available to every citizen of their respective countries. SDG 4 under the Sustainability development program is motivated to provide quality education by removing the barriers of poverty, funding, costly education, discrimination, and unavailability of resources. India is no longer behind in making the needful changes in its education system; the timely release of the national education policies is among such initiatives. This paper investigates the insights of the sustainable development goals for the upliftment of education, and the efforts put forward ensuring to reach the milestone by the end of 2030. Further, the accomplishments of the Indian government have also been investigated for the implementation of SDG4. The current state reveals the number of planned and upcoming proposals are in the way of the achievement of SDG 4 objectives. The final section of the findings pointed out the association among the different indicators of SDG 4 by implementing a machine learning-based association rule mining technique. The correlation among the indicators indicates the presence of interdependency among the indicators and will assist the regulatory bodies to perform any changes in these measures of sustainable development goals for education in the future. These findings will assist not only governing bodies in taking preventive measures while modifying existing policies and ensuring the effective enactment of SDG 4 goals but also benefits society by understanding their role to bring sustainability to the world. The current study is only limited to the SDG4 objective and goals, whereas for a need of sustainable environment around us then the evaluation of all the sustainable goals yields equal importance.

Author contribution

All authors contributed to the data collection, analysis, and writing of the manuscript.

Data availability

Code availability, declarations.

The research meets all applicable standards concerning the ethics of experimentation and research integrity, and the following is being certified/declared true. As an expert scientist and along with co-authors of the concerned field, the paper has been submitted with full responsibility, following the due ethical procedure, and there is no duplicate publication, fraud, plagiarism, or concerns about animal or human experimentation.

It is to specifically state on behalf of all authors that “No Competing interests are at stake and there is No Conflict of Interest” with other people or organizations that could inappropriately influence or bias the content of the paper.

1 https://www.proschoolonline.com/blog/flipped-classroom-learning-meaning-importance-advantages

2 http://www.unesco.org/new/en/culture/communities/partners/private-sector/

3 https://en.unesco.org/themes/education

4 https://sustainabledevelopment.un.org/hlpf/2017

5 https://in.one.un.org/page/sustainable-development-goals/quality-education-in-india-sdg-4/

6 https://www.education.gov.in/sites/upload_files/mhrd/files/NEP_Final_English_0.pdf

7 https://in.one.un.org/page/sustainable-development-goals/quality-education-in-india-sdg-4/

8 https://www.niti.gov.in/writereaddata/files/SDG_3.0_Final_04.03.2021_Web_Spreads.pdf

9 https://ggiindia.in/goal-4-quality-education/

10 https://www.niti.gov.in/writereaddata/files/SDG_3.0_Final_04.03.2021_Web_Spreads.pdf

11 https://www.aicte-india.org/reports/overview/Sarva-Shiksha-Abhiyan

12 https://ris.org.in/newasiaforum/achieving-sdg-4-india-moving-quantity-quality-education-all

13 https://www.researchgate.net/publication/327721156_Will_India_Achieve_SDG_4_by_2030

14 https://swayam.gov.in/

15 https://diksha.gov.in/

16 https://www.india.gov.in/spotlight/udaan-program-give-wings-girl-students

17 https://undocs.org/en/E/2021/58

18 https://www.un.org/development/desa/en/news/sustainable/sustainable-development-goals-report-2020.html

19 https://sustainabledevelopment.un.org/memberstates/india

20 https://swayam.gov.in/about

21 https://ndl.iitkgp.ac.in/

22 https://plan-international.org/eu/saksham-india

23 https://wcd.nic.in/schemes/beti-bachao-beti-padhao-scheme

24 https://www.india.gov.in/spotlight/udaan-program-give-wings-girl-students

25 https://www.ugc.ac.in/svsgc/

26 https://en.wikipedia.org/wiki/Providing_Assistance_for_Girls_Advancement_in_Technical_Education_Initiative

27 https://www.ugc.ac.in/ner/

28 https://cs2.iiserb.ac.in/activities/ishan_vikas_about.php

29 https://data.worldbank.org/

30 https://unstats.un.org/sdgs/indicators/database/

31 https://en.unesco.org/themes/education2030-sdg4

32 https://datatopics.worldbank.org/world-development-indicators/

33 https://data.unicef.org/resources/resource-type/datasets/

34 https://www.un.org/en/desa

35 https://unstats.un.org/sdgs/indicators/database/

36 https://www.who.int/data/gho/data/indicators

37 https://www.asercentre.org/

38 https://www.education.gov.in/en

39 https://tradingeconomics.com/

40 https://knoema.com/

41 https://www.kaggle.com/

42 https://www.education.gov.in/sites/upload_files/mhrd/files/statistics-new/aishe_eng.pdf

43 https://ruralindiaonline.org/en/library/resource/all-india-survey-on-higher-education-aishe-2019-20/

44 https://www.thehansindia.com/hans/education-careers/indias-higher-education-enrollment-stands-at-385cr-690189

45 https://www.ndtv.com/education/gross-enrolment-ratio-in-higher-education-improves-in-2019-20-aishe-report

46 https://timesofindia.indiatimes.com/home/education/news/18-more-women-in-higher-education-in-5-years/articleshow/83415039.cms

47 https://highereducationplus.com/student-vs-teacher-ratio/

48 https://papers.iafor.org/wp-content/uploads/papers/iice2015/IICE2015_07777.pdf

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  • Addey, C. (2021). Passports to the Global South, UN flags, favorite experts: understanding the interplay between UNESCO and the OECD within the SDG4 context.  Globalization, Societies, and Education , 1–12.
  • Agbedahin AV. Sustainable development, Education for Sustainable Development, and the 2030 Agenda for Sustainable Development: Emergence, efficacy, eminence, and future. Sustainable Development. 2019; 27 (4):669–680. doi: 10.1002/sd.1931. [ CrossRef ] [ Google Scholar ]
  • Ahmad FK. Use of assistive technology in inclusive education: Making room for diverse learning needs. Transcience. 2015; 6 (2):62–77. [ Google Scholar ]
  • Ahmad, T. (2019). Scenario-based approach to re-imagining future of higher education which prepares students for the future of work. Higher Education, Skills and Work-Based Learning.
  • Aina, C., Baici, E., Casalone, G., & Pastore, F. (2018). The economics of university dropouts and delayed graduation: a survey.
  • Akrong, B. S. (2021). Academic literacy development in an English curriculum: the case of Ho West district (Doctoral dissertation).
  • Alcott B, Banerji M, Bhattacharjea S, Nanda M, Ramanujan P. One step forward, two steps back: Transitions between home, pre-primary and primary education in rural India. Compare A Journal of Comparative and International Education. 2020; 50 (4):482–499. doi: 10.1080/03057925.2018.1527214. [ CrossRef ] [ Google Scholar ]
  • Amin, Z. M. (2019). Geographical distribution and economic and social characteristics of the illiterate population in the Districts of Al-Rusafa and Al-Mada'in.  Lark Journal for Philosophy, Linguistics and Social Sciences, 3 (34).
  • An T, Oliver M. What in the world is educational technology? Rethinking the field from the perspective of the philosophy of technology. Learning, Media and Technology. 2021; 46 (1):6–19. doi: 10.1080/17439884.2020.1810066. [ CrossRef ] [ Google Scholar ]
  • Askerov A, Askerov A. Peace education and conflict resolution: A critical review. Innovative Issues and Approaches in Social Sciences. 2010; 3 (1):5–35. doi: 10.12959/issn.1855-0541.IIASS-2010-no1-art01. [ CrossRef ] [ Google Scholar ]
  • Avsec S, Jagiełło-Kowalczyk M. Investigating possibilities of developing self-directed learning in architecture students using design thinking. Sustainability. 2021; 13 (8):4369. doi: 10.3390/su13084369. [ CrossRef ] [ Google Scholar ]
  • Ban, K. M. (2016). Sustainable Development Goals.
  • Battersby J. MDGs to SDGs–new goals, same gaps: The continued absence of urban food security in the post-2015 global development agenda. African Geographical Review. 2017; 36 (1):115–129. doi: 10.1080/19376812.2016.1208769. [ CrossRef ] [ Google Scholar ]
  • Beck C. Better schools: A Values Perspective. Falmer Press, Taylor & Francis, Inc.; 1990. [ Google Scholar ]
  • Beena, P. L. (2019). Industry and external sector. dimensions of indian economy, 13.
  • Behrens JT. Principles and procedures of exploratory data analysis. Psychological Methods. 1997; 2 (2):131. doi: 10.1037/1082-989X.2.2.131. [ CrossRef ] [ Google Scholar ]
  • Bilalli B, Abelló A, Aluja-Banet T, Wrembel R. Intelligent assistance for data pre-processing. Computer Standards & Interfaces. 2018; 57 :101–109. doi: 10.1016/j.csi.2017.05.004. [ CrossRef ] [ Google Scholar ]
  • Blanchflower, D. G. (2019). What the whole world wants is a good job. In  Not Working  (pp. 1–12). Princeton University Press.
  • Braham HM, Ben-Zvi D. Students’emergent articulations of statistical models and modeling in making informal statistical inferences. Statistics Education Research Journal. 2017; 16 (2):116–143. doi: 10.52041/serj.v16i2.187. [ CrossRef ] [ Google Scholar ]
  • Braveman P. Social conditions, health equity, and human rights. Health and Human Rights. 2010; 12 :31. [ PubMed ] [ Google Scholar ]
  • Brill JM, Galloway C. Perils and promises: University instructors’ integration of technology in classroom-based practices. British Journal of Educational Technology. 2007; 38 (1):95–105. doi: 10.1111/j.1467-8535.2006.00601.x. [ CrossRef ] [ Google Scholar ]
  • Briones Alonso, E., Van Ongevalle, J., Molenaers, N., & Vandenbroucke, S. (2021). SDG Compass guide: Practical frameworks and tools to operationalise agenda 2030. HIVA-KU Leuven Working Paper.
  • Brock, T. (2010). Young adults and higher education: Barriers and breakthroughs to success. The future of children, 109–132. [ PubMed ]
  • Brown P, Lauder H. Education, globalization and economic development. Journal of Education Policy. 1996; 11 (1):1–25. doi: 10.1080/0268093960110101. [ CrossRef ] [ Google Scholar ]
  • Bruggeman B, Tondeur J, Struyven K, Pynoo B, Garone A, Vanslambrouck S. Experts speaking: Crucial teacher attributes for implementing blended learning in higher education. The Internet and Higher Education. 2021; 48 :100772. doi: 10.1016/j.iheduc.2020.100772. [ CrossRef ] [ Google Scholar ]
  • Calet N, Gutiérrez-Palma N, Defior S. Effects of fluency training on reading competence in primary school children: The role of prosody. Learning and Instruction. 2017; 52 :59–68. doi: 10.1016/j.learninstruc.2017.04.006. [ CrossRef ] [ Google Scholar ]
  • Carr, R. M., Lane-Fall, M. B., South, E., Brady, D., Momplaisir, F., Guerra, C. E., … & Hamilton, R. (2021). Academic careers and the COVID-19 pandemic: Reversing the tide. Science Translational Medicine, 13 (584). [ PMC free article ] [ PubMed ]
  • Chai X, Tang G, Wang S, Peng R, Chen W, Li J. Deep learning for regularly missing data reconstruction. IEEE Transactions on Geoscience and Remote Sensing. 2020; 58 (6):4406–4423. doi: 10.1109/TGRS.2020.2963928. [ CrossRef ] [ Google Scholar ]
  • Chalmers GMV. The SDG Impact Assessment Tool-a free online tool for self-assessments of impacts on Agenda 2030. Policy. 2019; 1 :150–167. [ Google Scholar ]
  • Chatterjee, C., Hanushek, E.A. & Mahendiran, S. (2020). Can greater access to education be inequitable? new evidence from india’s right to education act (No. w27377). National Bureau of Economic Research . 10.3386/w27377
  • Cowell AJ. The relationship between education and health behavior: Some empirical evidence. Health Economics. 2006; 15 (2):125–146. doi: 10.1002/hec.1019. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Dasu, T., & Johnson, T. (2003).  Exploratory data mining and data cleaning  (Vol. 479). John Wiley & Sons.
  • de Villiers C, Kuruppu S, Dissanayake D. A (new) role for business–Promoting the United Nations’ Sustainable Development Goals through the internet-of-things and blockchain technology. Journal of Business Research. 2021; 131 :598–609. doi: 10.1016/j.jbusres.2020.11.066. [ CrossRef ] [ Google Scholar ]
  • Demirbağ İ, Sezgin S. Book review: Guidelines on the development of open educational resources policies. The International Review of Research in Open and Distributed Learning. 2021; 22 (2):261–263. doi: 10.19173/irrodl.v22i2.5513. [ CrossRef ] [ Google Scholar ]
  • Deng, Y. C. (2019). Radical learning: Issue-based transformative learning method. Technische Universitaet Berlin (Germany).
  • Do DNM, Hoang LK, Le CM, Tran T. A human rights-based approach in implementing sustainable development goal 4 (Quality Education) for ethnic minorities in Vietnam. Sustainability. 2020; 12 (10):4179. doi: 10.3390/su12104179. [ CrossRef ] [ Google Scholar ]
  • Douse, M., & Uys, P. (2018). TVET teaching in the time of digitization.  Handbook of Vocational Education and Training (pp. 1–16).
  • Durkheim E. Moral education. Courier Corporation; 2012. [ Google Scholar ]
  • Eide ER, Showalter MH. Estimating the relation between health and education: What do we know and what do we need to know? Economics of Education Review. 2011; 30 (5):778–791. doi: 10.1016/j.econedurev.2011.03.009. [ CrossRef ] [ Google Scholar ]
  • El Sadik A, Al Abdulmonem W. Improvement in student performance and perceptions through a flipped anatomy classroom: Shifting from passive traditional to active blended learning. Anatomical Sciences Education. 2021; 14 (4):482–490. doi: 10.1002/ase.2015. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Elmassah, S., Biltagy, M., & Gamal, D. (2021). Framing the role of higher education in sustainable development: a case study analysis.  International Journal of Sustainability in Higher Education .
  • Famili A, Shen WM, Weber R, Simoudis E. Data preprocessing and intelligent data analysis. Intelligent Data Analysis. 1997; 1 (1):3–23. doi: 10.3233/IDA-1997-1102. [ CrossRef ] [ Google Scholar ]
  • Felice WF. The UN committee on the elimination of all forms of racial discrimination: Race, and economic and social human rights. Hum. Rts. q. 2002; 24 :205. doi: 10.1353/hrq.2002.0009. [ CrossRef ] [ Google Scholar ]
  • Ferguson T, Iliško D, Roofe C, Hill S. SDG4-quality education: Inclusivity. Emerald Group Publishing; 2018. [ Google Scholar ]
  • Ferguson, T., & Roofe, C. G. (2020). SDG 4 in higher education: Challenges and opportunities. International Journal of Sustainability in Higher Education .
  • Ferguson, T., Roofe, C., & Cook, L. D. (2021). Teachers’ perspectives on sustainable development: the implications for education for sustainable development.  Environmental Education Research , 1–17.
  • Gamu, A. B., & Damole, Z. T. (2021). Assessing children’s basic reading skill in Dawro Zone: A study on mother tongue reading competence of grade 4 students.
  • García S, Luengo J, Herrera F. Data preprocessing in data mining. Springer International Publishing; 2015. [ Google Scholar ]
  • Garcia E. The need to address non-cognitive skills in the education policy agenda. Brill Sense; 2016. pp. 31–64. [ Google Scholar ]
  • Gibbons, M. (1998). Higher education relevance in the 21st century, United Nations Educational, Social, and Cultural Organization World Conference on Higher Education.
  • Gordon AM, Browne KW. Beginnings & beyond: Foundations in early childhood education. Cengage learning; 2016. [ Google Scholar ]
  • Gregg N. Underserved and unprepared: Postsecondary learning disabilities. Learning Disabilities Research & Practice. 2007; 22 (4):219–228. doi: 10.1111/j.1540-5826.2007.00250.x. [ CrossRef ] [ Google Scholar ]
  • Griffiths TG. Education to transform the world: Limits and possibilities in and against the SDGs and ESD. International Studies in Sociology of Education. 2021; 30 (1–2):73–92. doi: 10.1080/09620214.2020.1854829. [ CrossRef ] [ Google Scholar ]
  • Grotlüschen A, Nienkemper B, Duncker-Euringer C. International assessment of low reading proficiency in the adult population: A question of components or lower rungs? International Review of Education. 2020; 66 (2):235–265. doi: 10.1007/s11159-020-09829-y. [ CrossRef ] [ Google Scholar ]
  • Güvenç G. The flipped classroom approach in teaching writing: An action research. International Journal of Social Sciences and Education Research. 2018; 4 (3):421–432. doi: 10.24289/ijsser.434493. [ CrossRef ] [ Google Scholar ]
  • Hahsler M. arulesViz: Interactive visualization of association rules with R. The R Journal. 2017; 9 (2):163. doi: 10.32614/RJ-2017-047. [ CrossRef ] [ Google Scholar ]
  • Hajdukiewicz A, Pera B. Education for sustainable development—The case of massive open online courses. Sustainability. 2020; 12 (20):8542. doi: 10.3390/su12208542. [ CrossRef ] [ Google Scholar ]
  • Hamburg I. Facilitating lifelong learning in SMEs towards SDG4. Advances in Social Sciences Research Journal. 2020; 7 (9):262–272. doi: 10.14738/assrj.79.9010. [ CrossRef ] [ Google Scholar ]
  • Hanemann U. Examining the application of the lifelong learning principle to the literacy target in the fourth Sustainable Development Goal (SDG 4) International Review of Education. 2019; 65 (2):251–275. doi: 10.1007/s11159-019-09771-8. [ CrossRef ] [ Google Scholar ]
  • Hariharakrishnan, J., Mohanavalli, S., & Kumar, K. S. (2017). Survey of pre-processing techniques for mining big data. In 2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) (pp. 1–5). IEEE.
  • Harrowell I, Hollén L, Lingam R, Emond A. The impact of developmental coordination disorder on educational achievement in secondary school. Research in Developmental Disabilities. 2018; 72 :13–22. doi: 10.1016/j.ridd.2017.10.014. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Haslip MJ, Gullo DF. The changing landscape of early childhood education: Implications for policy and practice. Early Childhood Education Journal. 2018; 46 (3):249–264. doi: 10.1007/s10643-017-0865-7. [ CrossRef ] [ Google Scholar ]
  • Hazegh, M. (2019). Research on Characteristics of Effective Early Childhood Leaders: Emergence of Relational Leadership (Doctoral dissertation, California State Polytechnic University, Pomona).
  • Hew KF, Jia C, Gonda DE, Bai S. Transitioning to the “new normal” of learning in unpredictable times: Pedagogical practices and learning performance in fully online flipped classrooms. International Journal of Educational Technology in Higher Education. 2020; 17 (1):1–22. doi: 10.1186/s41239-020-00234-x. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Heymann, J., Sprague, A., & Raub, A. (2020). 9. The Right to Education. In  Advancing Equality  (pp. 199–224). University of California Press.
  • Hipp J, Güntzer U, Nakhaeizadeh G. Algorithms for association rule mining—a general survey and comparison. ACM Sigkdd Explorations Newsletter. 2000; 2 (1):58–64. doi: 10.1145/360402.360421. [ CrossRef ] [ Google Scholar ]
  • Huang, G. (2021, February). Missing data filling method based on linear interpolation and lightgbm. In  Journal of Physics: Conference Series  (Vol. 1754, No. 1, p. 012187). IOP Publishing.
  • Impact Initiative. (2021). Recipes for Impact: Feed, Thinking, Nourish, Change, Edition 2.
  • Iraji A, Faghiri A, Lewis N, Fu Z, Rachakonda S, Calhoun VD. Tools of the trade: Estimating time-varying connectivity patterns from fMRI data. Social Cognitive and Affective Neuroscience. 2021; 16 (8):849–874. doi: 10.1093/scan/nsaa114. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Jadhav, V. R., & Bagul, T. D. (2021, February). Education towards skill development for rural women. In Chronicle of Humanities and Cultural Studies, UGC Sponsored National Conference, Mahatma Gandhi, Education and welfare Society (Vol. 7, No. 01, pp. 122–126).
  • Jain, A. (2021). An analytical study of national policies for empowering women (with reference to education and employment opportunities).
  • Januszewski A, Molenda M, editors. Educational technology: A definition with commentary. Routledge; 2013. [ Google Scholar ]
  • Jaromczyk JW, Toussaint GT. Relative neighborhood graphs and their relatives. Proceedings of the IEEE. 1992; 80 (9):1502–1517. doi: 10.1109/5.163414. [ CrossRef ] [ Google Scholar ]
  • Kakar N, Popovski V, Robinson NA, editors. Fulfilling the sustainable development goals: On a quest for a sustainable world. Routledge; 2021. [ Google Scholar ]
  • Kallen, D., & Bengtsson, J. (1973). Recurrent education: A strategy for lifelong learning.
  • Khan, N., Fahad, S., Naushad, M., & Faisal, S. (2020). Critical review of COVID-2019 in the World. Available at SSRN 3583925.
  • Kingdon GG. The progress of school education in India. Oxford Review of Economic Policy. 2007; 23 (2):168–195. doi: 10.1093/oxrep/grm015. [ CrossRef ] [ Google Scholar ]
  • Koehler G. Tapping the Sustainable Development Goals for progressive gender equity and equality policy? Gender & Development. 2016; 24 (1):53–68. doi: 10.1080/13552074.2016.1142217. [ CrossRef ] [ Google Scholar ]
  • Kovač Šebart M, Štefanc D, Vidmar T. Compulsory education reform between the profession and policy in the light of justice and equal opportunities. CEPS Journal. 2021; 11 (2):185–209. doi: 10.26529/cepsj.1026. [ CrossRef ] [ Google Scholar ]
  • Kumar S, Kumar N, Vivekadhish S. Millennium development goals (MDGS) to sustainable development goals (SDGS): Addressing unfinished agenda and strengthening sustainable development and partnership. Indian Journal of Community Medicine: Official Publication of Indian Association of Preventive & Social Medicine. 2016; 41 (1):1. doi: 10.4103/0970-0218.170955. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Kumar, K. S., & Mahendraprabu, M. (2021). Open educational practices of SWAYAM programme among research scholars.  Education and Information Technologies , 1–25.
  • Laal M, Laal A, Aliramaei A. Continuing education; lifelong learning. Procedia-Social and Behavioral Sciences. 2014; 116 :4052–4056. doi: 10.1016/j.sbspro.2014.01.889. [ CrossRef ] [ Google Scholar ]
  • Lapata M. Automatic evaluation of information ordering: Kendall's tau. Computational Linguistics. 2006; 32 (4):471–484. doi: 10.1162/coli.2006.32.4.471. [ CrossRef ] [ Google Scholar ]
  • Leicht, A., Combes, B., Byun, W. J., & Agbedahin, A. V. (2018). From Agenda 21 to Target 4.7: The development of education for sustainable development. Issues and trends in Education for Sustainable Development, 25.
  • Makar, K., & Rubin, A. (2009). A framework for thinking about informal statistical inference.  Statistics Education Research Journal ,  8 (1).
  • Malik RS. Educational challenges in 21st century and sustainable development. Journal of Sustainable Development Education and Research. 2018; 2 (1):9–20. doi: 10.17509/jsder.v2i1.12266. [ CrossRef ] [ Google Scholar ]
  • Manby B. The Sustainable Development Goals and ‘legal identity for all’:‘First, do no harm. World Development. 2021; 139 :105343. doi: 10.1016/j.worlddev.2020.105343. [ CrossRef ] [ Google Scholar ]
  • Mao G. Testing independence in high dimensions using Kendall’s tau. Computational Statistics & Data Analysis. 2018; 117 :128–137. doi: 10.1016/j.csda.2017.07.012. [ CrossRef ] [ Google Scholar ]
  • Marope, P. T. M. (2016). Quality and development-relevant education and learning: Setting the stage for the Education 2030 Agenda.
  • Mata, J., Alvarez, J. L., & Riquelme, J. C. (2002). Discovering numeric association rules via evolutionary algorithm. In  Pacific-Asia conference on knowledge discovery and data mining  (pp. 40–51). Springer.
  • Matthew UO, Kazaure JS. Multimedia e-learning education in nigeria and developing countries of Africa for achieving SDG4. International Journal of Information Communication Technologies and Human Development (IJICTHD) 2020; 12 (1):40–62. doi: 10.4018/IJICTHD.2020010103. [ CrossRef ] [ Google Scholar ]
  • McKay V. Literacy, lifelong learning and sustainable development. Australian Journal of Adult Learning. 2018; 58 (3):390–425. [ Google Scholar ]
  • McKinley, T., & Huebner, C. (2018). Extractive industries and consumption linkages to enhance industrialization.
  • Mechanic D, Tanner J. Vulnerable people, groups, and populations: Societal view. Health Affairs. 2007; 26 (5):1220–1230. doi: 10.1377/hlthaff.26.5.1220. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Mensah J. Sustainable development: Meaning, history, principles, pillars, and implications for human action: Literature review. Cogent Social Sciences. 2019; 5 (1):1653531. doi: 10.1080/23311886.2019.1653531. [ CrossRef ] [ Google Scholar ]
  • Miles S, Singal N. The Education for All and inclusive education debate: Conflict, contradiction or opportunity? International Journal of Inclusive Education. 2010; 14 (1):1–15. doi: 10.1080/13603110802265125. [ CrossRef ] [ Google Scholar ]
  • Mitchell D. Diversities in education: Effective ways to reach all learners. Routledge; 2016. [ Google Scholar ]
  • Mohanty A, Dash D. Education for sustainable development: A conceptual model of sustainable education for India. International Journal of Development and Sustainability. 2018; 7 (9):2242–2255. [ Google Scholar ]
  • Morawa AH. Vulnerability as a concept of international human rights law. Journal of International Relations and Development. 2003; 6 (2):139–155. [ Google Scholar ]
  • Moslehi F, Haeri A. A genetic algorithm-based framework for mining quantitative association rules without specifying minimum support and minimum confidence. Scientia Iranica. 2020; 27 (3):1316–1332. [ Google Scholar ]
  • Muff K, Kapalka A, Dyllick T. The Gap Frame-Translating the SDGs into relevant national grand challenges for strategic business opportunities. The International Journal of Management Education. 2017; 15 (2):363–383. doi: 10.1016/j.ijme.2017.03.004. [ CrossRef ] [ Google Scholar ]
  • Mumford MD, Gustafson SB. Creativity syndrome: Integration, application, and innovation. Psychological Bulletin. 1988; 103 (1):27. doi: 10.1037/0033-2909.103.1.27. [ CrossRef ] [ Google Scholar ]
  • Muñoz-Pichardo JM, Lozano-Aguilera ED, Pascual-Acosta A, Muñoz-Reyes AM. Multiple Ordinal Correlation Based on Kendall’s Tau Measure: A Proposal. Mathematics. 2021; 9 (14):1616. doi: 10.3390/math9141616. [ CrossRef ] [ Google Scholar ]
  • Murray, J. (2021). Informal early childhood education: the influences of parents and home on young children's learning.
  • Nagao, M., & Seki, H. (2016, November). On mining quantitative association rules from multi-relational data with FCA. In 2016 IEEE 9th International Workshop on Computational Intelligence and Applications (IWCIA) (pp. 81–86). IEEE.
  • Naidoo, R., & Fisher, B. (2020). Reset sustainable development goals for a pandemic world. [ PubMed ]
  • Nehru R, Shahi S. A study of recognition of prior learning (rpl) and gross enrollment ratio in higher education in India. Elementary Education Online. 2021; 20 (1):3272–3283. [ Google Scholar ]
  • Noor, M. N., Yahaya, A. S., Ramli, N. A., & Al Bakri, A. M. M. (2014).  Filling missing data using interpolation methods: Study on the effect of fitting distribution  (Vol. 594, pp. 889–895). Trans Tech Publications Ltd.
  • O’Reilly, A. (2007). The right to decent work of persons with disabilities.
  • Olaniran, S. O. (2020). Literacy library and the functional literacy skills of the 21st century adult learners.  Library Philosophy and Practice (e-journal), 3573 .
  • Ölmefors, O., & Scheffel, J. (2021). High school student perspectives on flipped classroom learning. Pedagogy, Culture & Society , 1–18.
  • Osguthorpe RT, Graham CR. Blended learning environments: Definitions and directions. Quarterly Review of Distance Education. 2003; 4 (3):227–233. [ Google Scholar ]
  • Owens TL. Higher education in the sustainable development goals framework. European Journal of Education. 2017; 52 (4):414–420. doi: 10.1111/ejed.12237. [ CrossRef ] [ Google Scholar ]
  • Pahwa, N., & Indira, M. (2021). Performance evaluation of Sarva Shiksha Abhiyan (SSA): A comparative study of two states in India.  International Journal of Research in Social Sciences, 11 (05).
  • Pandey, B. (2018). Achieving SDG 4 in India: moving from quantity to quality education for all. Research and Information System for Developing Countries.
  • Park, A., Eckert, T. L., Zaso, M. J., Scott‐Sheldon, L. A., Vanable, P. A., Carey, K. B., … & Carey, M. P. (2017). Associations between health literacy and health behaviors among urban high school students.  Journal of School Health, 87 (12), 885–893. [ PMC free article ] [ PubMed ]
  • Paulette B. The strategic role of higher education in the sustainable development of the Caribbean. Higher Education and Society. 2019; 31 (31):60–90. [ Google Scholar ]
  • Pereira J, Murzyn T. Integrating the" new" with the" traditional": An innovative education model. Journal of Palliative Medicine. 2001; 4 (1):31–37. doi: 10.1089/109662101300051942. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Picatoste J, Pérez-Ortiz L, Ruesga-Benito SM. A new educational pattern in response to new technologies and sustainable development. Enlightening ICT skills for youth employability in the European Union. Telematics and Informatics. 2018; 35 (4):1031–1038. doi: 10.1016/j.tele.2017.09.014. [ CrossRef ] [ Google Scholar ]
  • Pienaar AE, Gericke C, Plessis WD. Competency in Object Control Skills at an Early Age Benefit Future Movement Application: Longitudinal Data from the NW-CHILD Study. International Journal of Environmental Research and Public Health. 2021; 18 (4):1648. doi: 10.3390/ijerph18041648. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Pillai DDM, Nagappan N, Dharani SV, Subramanian K, Champakesan B, D’Cruz TM. Socio-economic impact of coronavirus disease 2019 (COVID-19)–An Indian outlook. Journal of Family Medicine and Primary Care. 2020; 9 (10):5103. doi: 10.4103/jfmpc.jfmpc_835_20. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Raina, J. (2019). Equitable elementary education as a public good. Elementary Education in India: Policy Shifts, Issues and Challenges.
  • Rajput, N., Gupta, M. K., & Kumar, M. H. (2020) The Impact and Implication of SDG4 in India.
  • Rammohan A, Vu P. Gender inequality in education and kinship norms in India. Feminist Economics. 2018; 24 (1):142–167. doi: 10.1080/13545701.2017.1364399. [ CrossRef ] [ Google Scholar ]
  • Rao N, Umayahara M, Yang Y, Ranganathan N. Ensuring access, equity and quality in early childhood education in Bangladesh, China, India, and Myanmar: Challenges for nations in a populous economic corridor. International Journal of Educational Development. 2021; 82 :102380. doi: 10.1016/j.ijedudev.2021.102380. [ CrossRef ] [ Google Scholar ]
  • Rastogi R, Shim K. Mining optimized association rules with categorical and numeric attributes. IEEE Transactions on Knowledge and Data Engineering. 2002; 14 (1):29–50. doi: 10.1109/69.979971. [ CrossRef ] [ Google Scholar ]
  • Ratner B. Statistical and machine-learning data mining: Techniques for better predictive modeling and analysis of big data. CRC Press; 2017. [ Google Scholar ]
  • Rohwerder, B. (2020). Social impacts and responses related to COVID-19 in low-and middle-income countries.
  • Sachs JD, McArthur JW. The millennium project: A plan for meeting the millennium development goals. The Lancet. 2005; 365 (9456):347–353. doi: 10.1016/S0140-6736(05)17791-5. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Sahoo S. Girls ‘Education in India: Status and challenges. International Journal of Research in Economics and Social Sciences (IJRESS) 2016; 6 (7):130–141. [ Google Scholar ]
  • Saini M, Singh M, Kaur M, Kaur M. Analysing the tweets to examine the behavioural response of Indian citizens over the approval of national education policy 2020. International Journal of Educational Development. 2021; 82 :102356. doi: 10.1016/j.ijedudev.2021.102356. [ CrossRef ] [ Google Scholar ]
  • Sajan CS, Medona KC. Informatics for equality of educational opportunity: A survey of government of India initiatives. Informatics Studies. 2021; 8 (3):47–60. [ Google Scholar ]
  • Salleb-Aouissi A, Vrain C, Nortet C, Kong X, Rathod V, Cassard D. QuantMiner for mining quantitative association rules. The Journal of Machine Learning Research. 2013; 14 (1):3153–3157. [ Google Scholar ]
  • Sasson I, Yehuda I, Malkinson N. Fostering the skills of critical thinking and question-posing in a project-based learning environment. Thinking Skills and Creativity. 2018; 29 :203–212. doi: 10.1016/j.tsc.2018.08.001. [ CrossRef ] [ Google Scholar ]
  • Saxena, P. (2020). The gender and science debate at Indian institutes of technology (Doctoral dissertation, Indiana University).
  • Schreyer, P. (2000). The contribution of information and communication technology to output growth: a study of the G7 countries.
  • Shahin, M., Yahia, S. B., & Draheim, D. (2020). On the Potential of Numerical Association Rule Mining. In Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications: 7th International Conference, FDSE 2020, Quy Nhon, Vietnam, November 25–27, 2020, Proceedings (Vol. 1306, p. 3). Springer Nature.
  • Sharma S, Marinova D, Bogueva D. Transitioning to better primary education: The role of an expatriate organisation in India. Sustainability. 2020; 12 (16):6489. doi: 10.3390/su12166489. [ CrossRef ] [ Google Scholar ]
  • Shelley BP. Sustainable humanity beyond the COVID-19 Crisis:‘Vasudhaiva Kutumbakam’for ‘One Planet, One Health, One Future’ Archives of Medicine and Health Sciences. 2021; 9 (1):1. doi: 10.4103/amhs.amhs_118_21. [ CrossRef ] [ Google Scholar ]
  • Shiohira, K. (2021). Understanding the impact of artificial intelligence on skills development. Education 2030. UNESCO-UNEVOC International Centre for Technical and Vocational Education and Training.
  • Sibirskaya, E., Popkova, E., Oveshnikova, L., & Tarasova, I. (2019). Remote education vs traditional education is based on effectiveness at the micro-level and its connection to the level of development of macro-economic systems.  International journal of educational management .
  • Singh, M., Adebayo, S. O., Saini, M., & Singh, J. (2021). Indian government E-learning initiatives in response to COVID-19 crisis: A case study on online learning in Indian higher education system.  Education and Information Technologies , 1–39. [ PMC free article ] [ PubMed ]
  • Singh, H. (2021). Building effective blended learning programs. In  Challenges and Opportunities for the Global Implementation of E-Learning Frameworks  (pp. 15–23). IGI Global.
  • Spooren P, Vandermoere F, Vanderstraeten R, Pepermans K. Exploring high impact scholarship in research on student's evaluation of teaching (SET) Educational Research Review. 2017; 22 :129–141. doi: 10.1016/j.edurev.2017.09.001. [ CrossRef ] [ Google Scholar ]
  • Sugiyarti E, Jasmi KA, Basiron B, Huda M, Shankar K, Maseleno A. Decision support system of scholarship grantee selection using data mining. International Journal of Pure and Applied Mathematics. 2018; 119 (15):2239–2249. [ Google Scholar ]
  • Tomislav K. The concept of sustainable development: From its beginning to the contemporary issues. Zagreb International Review of Economics & Business. 2018; 21 (1):67–94. doi: 10.2478/zireb-2018-0005. [ CrossRef ] [ Google Scholar ]
  • Trelease RB. From chalkboard, slides, and paper to e-learning: How computing technologies have transformed anatomical sciences education. Anatomical Sciences Education. 2016; 9 (6):583–602. doi: 10.1002/ase.1620. [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Trevino, L. C. (2001).  Theory and application of a microclustering tool for exploratory data analysis in pattern recognition systems  (Doctoral dissertation, The University of Alabama in Huntsville).
  • Turner, R. H. (1960). Sponsored and contest mobility and the school system. American sociological review, 855–867.
  • Ty, R. (2021). Pedagogy and curriculum to prevent and counter violent extremism. Teaching in a World of Violent Extremism, 48.
  • Unal A, Unal Z, Bodur Y. Using flipped classroom in middle schools: Teachers' perceptions. Journal of Research in Education. 2021; 30 (2):90–112. [ Google Scholar ]
  • UNESCO. (2021). Wide Education Inequalities.
  • Unterhalter E, Aikman S, editors. Practising gender equality in education. Oxfam; 2007. [ Google Scholar ]
  • Unterhalter, E., Arnot, M., Lloyd, C., Moletsane, L., Murphy-Graham, E., North, A., … & Saito, M. (2014).  Interventions to enhance girls' education and gender equality: Education rigorous literature review . Department for International Development.
  • Verbeeck N, Caprioli RM, Van de Plas R. Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry. Mass Spectrometry Reviews. 2020; 39 (3):245–291. doi: 10.1002/mas.21602. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Vrdoljak, A. F., & Meskell, L. (2021). Intellectual cooperation organisation, unesco, and the culture conventions. In  The Oxford Handbook of International Cultural Heritage Law .
  • Wals, A. E., & Kieft, G. (2010). Education for sustainable development: Research overview.
  • Webb, S., Holford, J., Hodge, S., Milana, M., & Waller, R. (2017). Lifelong learning for quality education: exploring the neglected aspect of sustainable development goal 4.
  • Whaley RB, Messner SF, Veysey BM. The relationship between gender equality and rates of inter-and intra-sexual lethal violence: An exploration of functional form. Justice Quarterly. 2013; 30 (4):732–754. doi: 10.1080/07418825.2011.624114. [ CrossRef ] [ Google Scholar ]
  • Whetten DA. Developing management skills. Pearson Education India; 2011. [ Google Scholar ]
  • Wilson D. Reform of TVET for the changing world of work. Prospects. 2001; 31 (1):21–37. doi: 10.1007/BF03220047. [ CrossRef ] [ Google Scholar ]
  • Windorf, R. J. (2020). Global citizens in the 21st-century classroom: A mixed methods study of motivational aspects of global awareness (Doctoral dissertation, Molloy College).
  • Winiharti, M., & Chairiyani, R. P. (2021). Internalization of discipline value through internet-based learning: A case study on english learners.
  • Wintersteiner, W. (2018). Citizens of “Homeland Earth.” UNESCO on the road to “Global Citizenship Education”: The refugee example. In  Refugees and Migrants in Law and Policy  (pp. 835–862). Springer.
  • Wold, S., Eriksson, L., & Kettaneh, N. (2010). PLS in data mining and data integration. In  Handbook of Partial Least Squares  (pp. 327–357). Springer.
  • World Health Organization. (2016). World health statistics 2016: monitoring health for the SDGs sustainable development goals. World Health Organization.
  • Wright, G. W., & Park, S. (2021). The effects of flipped classrooms on K-16 students’ science and math achievement: a systematic review.  Studies in Science Education , 1–42.
  • Xiong H, Pandey G, Steinbach M, Kumar V. Enhancing data analysis with noise removal. IEEE Transactions on Knowledge and Data Engineering. 2006; 18 (3):304–319. doi: 10.1109/TKDE.2006.46. [ CrossRef ] [ Google Scholar ]
  • Xu, Y. (2003).  Using data mining in educational research: A comparison of Bayesian network with multiple regression in prediction  (Doctoral dissertation, The University of Arizona).
  • Yusuf MO. Information and communication technology and education: Analysing the Nigerian national policy for information technology. International Education Journal. 2005; 6 (3):316–321. [ Google Scholar ]
  • Zaki MJ. Parallel and distributed association mining: A survey. IEEE Concurrency. 1999; 7 (4):14–25. doi: 10.1109/4434.806975. [ CrossRef ] [ Google Scholar ]
  • Žegunienė, V. (2020). Theoretical presumptions of learning a foreign language through global citizenship development at pre-primary school. Editorial Team, 57.
  • Zhao Q, Bhowmick SS. Association rule mining: A survey. Nanyang Technological University; 2003. p. 135. [ Google Scholar ]

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Achieving Sustainable Development Goal (SDG) 4 on Quality in Education. Challenges and Opportunities, Experiences from Southern African (SADC) Universities.

  • August 17, 2021
  • Posted by: rsispostadmin
  • Categories: IJRISS, Social Science

International Journal of Research and Innovation in Social Science (IJRISS) | Volume V, Issue VII, July 2021 | ISSN 2454–6186

GN Shava 1 *, D.Nkengebeza 2 , N. Phuthi 3 , K.D. Mpuang 4 , J. Alava 5 1 National University of Science and Technology, Zimbabwe 2 University of Namibia, Namibia 3 National University of Science and Technology, Zimbabwe 4 University of Botswana, Botswana 5 University of Jyvaskyla, Finland *Corresponding author

Abstract: Quality higher education and education for sustainable development is an indispensable part of the development equation. Higher education the world over is the key to better life and the foundation for every strong society. To eradicate poverty, boost shared prosperity and achieve sustainability and development, nations should adopt radical changes to ensure the achievement of sustainable goal (SDG) 4 on quality in higher education. Quality education for sustainable development should seek to ensure that all people gain knowledge, skills and values they need to live in dignity and to fulfil their potential and contribute to their societies as responsible citizens. With goal 4 on quality education, the 2030 Agenda for sustainable development seeks to ensure inclusive and equitable quality education and promote lifelong learning opportunities for all. In our study we argue that in the 21 century to attain Agenda 2030 and specifically Education for Sustainable Development (ESD) goals the SADC region must emphasise a pragmatic educational philosophy, empowered by technology and the needs of society. Our study focuses primarily on the challenges of achieving SDG 4 on quality in higher education. The authors draw on structure, culture and agency theoretical view point to offer deeper insight into the challenges of achieving quality and sustainable development in higher education, specifically focussing on three countries in the SDAC region. The aim of our qualitative study was to explore the complexity of raising higher education quality in the SADC region suggesting the need for multiple players to come together.

Key words: Education for Sustainable Development: Higher Education: Quality Education: Teaching and Learning: Southern African region.

I. CONTEXTUAL AND BACKGROUND INFORMATION

Higher Education the world over provides itself as the vanguard of vision and wisdom and its core values point to its potential leadership role in shaping society. Very recently (UNESCO,2017) tell us that, ESD is placed at the centre of the 2030 sustainable development agenda and has been widely acknowledged as a key enabler of all 17 SDGs which includes SDG4 on Quality Education for All. Mohanty and Dash (2018) argue that, sustainable education especially quality education has been considered as renewable resources to be geared towards the acquisition of key competences of 21 st century including sustainable life style, work and habitant. According to the United Nations Educational, Scientific and Cultural Organisation

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Facing the Challenges of Girls’ Education in Pakistan

Juan d. barón.

Girl in a classroom

Girls’ education is smart economics , and Pakistan has committed to guaranteeing the right of both girls and boys to access quality education ( SDG 4 ).

In fact, Pakistan has dramatically expanded enrollment for girls and boys in the last 14 years. Net enrollment for both has increased by roughly 10 percentage points (Figure 1). With a school-aged population of around 50 million children, there have been substantial gains in the number of children enrolled in school. However, the country faces a number of challenges in ensuring a quality education for all children: 75 percent of 10-year-olds in Pakistan cannot read a simple text, and that rate may have increased to 79 percent due to COVID-19 and the 2022 floods .

Despite progress, girls in Pakistan face more challenges in accessing quality education and their education outcomes lag boys. Bringing more girls and boys to school will require using data to target interventions to specific challenges. At the current pace (which already incorporates strong assumptions on progress), it will take Pakistan at least 50 years to enroll all girls and 31 years to enroll all boys. Below, we present potential solutions to challenges facing girls access to education.

Figure 1. Net enrollment rates by sex (%)

Figure 1. Net enrollment rates by sex (%)

Challenge 1: 12 million girls out of school

About 2 million more girls than boys are out of school in Pakistan–or about 12 million girls in total—and account for most of the out-of-school population in Pakistan. Estimates of the number of out-of-school children in Pakistan range from 20.3 to 22.1 million children.

Solutions. One solution includes using available data and targeting specific programs to specific types of out-of-school children. For example, bringing back young kids who may have dropped out of primary school is a targeted intervention for young kids who were in school, but not for teenage children who may have left the system years ago. A literacy, numeracy, and life skill programs would be a more targeted approach for this group.

Another solution is increasing school supply: Punjab has done it successfully in primary education with public-private partnerships (PPPs). Expanding PPPs to other levels of education and enhancing regulations can deliver big returns. Expanding and better managing public schools in rural areas is another solution, like the SELECT project in the Sindh Province.

Challenge 2: Girls are more likely to have never been to school

In 2018, 26 percent of girls and 19 percent of boys had never been to school, a 7-percentage point difference (Figure 2). Pakistan has made progress compared to 2004, when the difference was 13 percentage points. The effort, however, has left girls in the same position as before relative to boys. Figure 2 shows that in 2018, the number of girls who have never attended school was the same as the number of boys who never attended school in 2004 (14 years earlier).

Solutions . Expanding conditional cash transfers to incentivize parents to send children to school, with a premium on girls, could be effective to enhance early enrollment and reduce gender gaps. Enrollment drives focused on first grades and pre-K enrollment can also be effective.

Figure 2. Children who have never attended school by sex (%)

Figure 2. Children who have never attended school by sex (%)

Challenge 3: Girls in poor families are less likely to attend school

Poverty is a major challenge for girls’ education. Girls in poor families are 22 percentage points less likely to attend school than boys (Figure 3). This gender gap gets narrower with better-off families, ending with no gap for families in the wealthiest quintile, where enrollment is around 87 percent, for both sexes.

Figure 3. School enrollment by sex and household wealth (%)

Figure 3. School enrollment by sex and household wealth (%)

Moreover, girls in poor families are 52 percentage points less likely to attend school than girls in well-off households (Figure 3). This highlights what families express as the biggest constraint to sending girls to primary school: the cost of education. Girls in rural areas, who are more likely to be in poor households, are also less likely to be enrolled than any other group, including girls in urban areas and boys in both rural and urban areas (Figure 4). Girls in rural areas are the most disadvantaged group.

Solutions. Pakistan has recently expanded the conditional cash transfer program to all districts in the country and has had girls’ stipend programs with positive outcomes. Expanding and consolidating this financial support to families—differentiating by gender and rural areas—could help in closing these gaps. These financial conditionalities will only work if there are enough schools available, which is not the case in many rural areas of Pakistan. For example, there are nearly 130,000 primary schools in rural Pakistan, but only 33,000 middle schools, leaving many middle school-aged students in rural areas without education options after primary school.

Figure 4. In all provinces, girls of all ages in rural areas are less likely to be in school than boys

Figure 4. In all provinces, girls of all ages in rural areas are less likely to be in school than boys

Challenge 4: Security of girls and women at school

Girls face harassment in school and on the way to school. They face challenges to their security in public spaces, transportation, and near schools. Girls express anguish at all types of harassment in these spaces, the Center for Gender and Policy Studies reports. Given this, parents in Pakistan either delay girls’ education or prevent them from attending school altogether. The second most important reason parents give for not sending girls to school is the distance to schools, which is a factor that exacerbates parents’ security concerns: the more distant the school, the more risk for girls.

Solutions . Improving transport services for girls and female teachers, as has been done in KP Province , and making school safe for students (for example, building boundary walls in schools).

What’s next?

Pakistan has shown that increased enrollment for girls is possible even in a context of high population growth. To accelerate progress, programs could be based on cost-effectiveness, potential for scale, and new research. For example, countries can advance girls’ education through un-targeted programs as effectively as targeted programs, as outlined in research by Evans & Yuan . This is true in some domains, but targeted interventions would work best for specific constraints faced by girls. The above potential solutions reflect both.

Solutions, however, require adequate and well-executed funding. Pakistan spends 2.5 percent of its GDP on education, far from the 4 percent international average. Reducing gaps and ensuring that all children, in particular girls, have access to quality education would require at least 4.5 percent of GDP, the World Bank estimates.

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Senior Economist, Education Global Practice, World Bank Group

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