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\"Financial inclusion and sustainable education are closely linked, especially in achieving SDG 4. The introduction highlights how financial inclusion can empower communities and promote inclusive education. It emphasizes universal access to affordable financial services as a catalyst for social mobility and economic empowerment. The role of financial inclusion as a pillar of sustainable education is then examined, highlighting its contribution to access, lifelong learning, educational infrastructure, financial literacy, and the empowerment of marginalized groups. Challenges related to SDG 4 and financial inclusion are discussed, including the digital divide, quality of education, financial literacy, inequality, and climate change. Opportunities at the intersection of SDG 4 and financial inclusion are identified, such as technological innovations, public-private partnerships, financial education integration, inclusive financing models, data analytics, empowerment of marginalized groups, and capacity building. Finally, the findings underscore the importance of integrating financial inclusion initiatives into education policies and programs to build resilient communities and promote inclusive and equitable education. The paper concludes by emphasizing the transformative potential of financial inclusion in fostering sustainable development and lasting progress for all.\"

Artificial Intelligence (AI) in Education claims to have the potential for building personalised curricula, as well as bringing opportunities for democratising education and creating a renaissance of new ways of teaching and learning. Millions of students are starting to benefit from the use of these technologies, but millions more around the world are not, due to the digital divide and deep pre-existing social and educational inequalities. If this trend continues, the first large-scale delivery of AI in Education could lead to greater educational inequality, along with a global misallocation of educational resources motivated by the current techno-solutionist narrative, which proposes technological solutions as a quick and flawless way to solve complex real-world problems. This work focuses on posing questions about the future of AI in Education, intending to initiate the pressing conversation that could set the right foundations (e.g., inclusion and diversity) for a new generation of education that is permeated with AI technology. The main goal of our opinion piece is to conceptualise a sustainable, large-scale and inclusive AI for the education ecosystem that facilitates equitable, high-quality lifelong learning opportunities for all. The contribution starts by synthesising how AI might change how we learn and teach, focusing on the case of personalised learning companions and assistive technology for disability. Then, we move on to discuss some socio-technical features that will be crucial to avoiding the perils of these AI systems worldwide (and perhaps ensuring their success by leveraging more inclusive education). This work also discusses the potential of using AI together with free, participatory and democratic resources, such as Wikipedia, Open Educational Resources and open-source tools. We emphasise the need for collectively designing human-centred, transparent, interactive and collaborative AI-based algorithms that empower and give complete agency to stakeholders, as well as supporting new emerging pedagogies. Finally, we ask what it would take for this educational revolution to provide egalitarian and empowering access to education that transcends any political, cultural, language, geographical and learning-ability barriers, so that educational systems can be responsive to all learners’ needs.

As a generation of ‘digital natives,’ secondary students who were born from 2002 to 2010 have various approaches to acquiring digital knowledge. Digital literacy and resilience are crucial for them to navigate the digital world as much as the real world; however, these remain under-researched subjects, especially in developing countries. In Vietnam, the education system has put considerable effort into teaching students these skills to promote quality education as part of the United Nations-defined Sustainable Development Goal 4 (SDG4). This issue has proven especially salient amid the COVID−19 pandemic lockdowns, which had obliged most schools to switch to online forms of teaching. This study, which utilizes a dataset of 1061 Vietnamese students taken from the United Nations Educational, Scientific, and Cultural Organization (UNESCO)’s “Digital Kids Asia Pacific (DKAP)” project, employs Bayesian statistics to explore the relationship between the students’ background and their digital abilities. Results show that economic status and parents’ level of education are positively correlated with digital literacy. Students from urban schools have only a slightly higher level of digital literacy than their rural counterparts, suggesting that school location may not be a defining explanatory element in the variation of digital literacy and resilience among Vietnamese students. Students’ digital literacy and, especially resilience, also have associations with their gender. Moreover, as students are digitally literate, they are more likely to be digitally resilient. Following SDG4, i.e., Quality Education, it is advisable for schools, and especially parents, to seriously invest in creating a safe, educational environment to enhance digital literacy among students.

The rise of knowledge-based economies has positioned higher education institutions as key actors in human capital development, requiring them to engage more actively with labor markets through strategic partnerships. Within this context, university-affiliated science and technology parks (STPs) have evolved into integrated learning environments that support experiential learning and mentorship practices. This study aims to explore the lived experiences of undergraduate students who participated in these processes within an STP in İstanbul, Türkiye. Using a qualitative phenomenological approach, data were collected through semi-structured interviews with 15 students selected via purposive maximum variation sampling. Thematic analysis, supported by MAXQDA 2024, was used to examine the data. Two main themes were identified: (i) talent development through experiential learning and (ii) talent development through mentorship. The findings indicate that students reconstructed theoretical knowledge through real-world applications, developed a clearer professional identity, and gained strategic career awareness. Mentorship provided both technical and psychosocial support, fostering self-confidence, emotional security, and role modeling. This study concludes that STPs play a strategic role in aligning academic learning with employability and institutional talent development goals. These results contribute to broader educational and workforce development discussions and are closely aligned with Sustainable Development Goals 4 (Quality Education) and 8 (Decent Work and Economic Growth), highlighting STPs as transformative platforms in higher education. Moreover, this study offers practical implications for aligning higher education with employment systems through structured experiential learning and mentorship practices.

Education plays a pivotal role in fostering the socio-economic development of any nation. Because of persistent urban-rural education gap in India, the country faces challenges in achieving Sustainable Development Goal 4 (SDG 4) – Quality Education. The current study is conducted to investigate the role of Corporate Social Responsibility (CSR) initiatives in addressing this gap, for which a comprehensive study is conducted to identify CSR initiatives undertaken by the top companies in bridging the urban-rural education gap prevailing in India. Further the study also aims to identify various challenges encountered by companies while aligning their CSR initiatives towards achievement of global goal of sustainability (SDG4). The paper also gives recommendations in meeting out these challenges.

This article investigates the relationship between Sustainable Development Goal 4 (SDG 4), academic integrity as its part, and artificial intelligence (AI) through a bibliometric analysis, assessing whether this intersection represents a clash or win-win cooperation. SDG 4 aims to ensure equitable access to quality education, while AI technologies have the potential to enhance educational practices but demote academic integrity. By analyzing a comprehensive body of the literature, this study identifies key trends and thematic areas where AI is applied in educational settings, particularly concerning maintaining academic integrity. The findings reveal a growing body of research highlighting AI’s role in personalizing learning experiences, improving educational accessibility, and supporting educators’ teaching methodologies. However, challenges such as ethical considerations, data privacy, and the digital divide are also addressed, indicating potential conflicts that need to be navigated. Ultimately, this analysis suggests that while there are significant opportunities for synergy between AI and SDG 4, the management of careful implementation and policy frameworks is essential to ensure that AI serves as a tool for promoting inclusive and sustainable education rather than exacerbating existing inequalities. AI transforms science management by enhancing data analysis, streamlining research processes, and improving decision-making, ultimately leading to more efficient and effective scientific research and innovation. The findings reveal that while AI can facilitate personalized learning and enhance educational accessibility, it also poses challenges related to academic misconduct, such as plagiarism and the misuse of AI-generated content. This duality highlights the need for educational institutions to develop robust frameworks that leverage AI’s capabilities while safeguarding academic integrity. The article concludes that a collaborative approach, integrating AI into educational practices with a strong emphasis on ethical considerations and integrity, can lead to a synergistic relationship that supports the goals of SDG 4. Recommendations for future research and practical implications for managers, educators, scientists, and policymakers are also discussed, emphasizing the importance of fostering an educational environment that embraces innovation while upholding ethical standards.

This study investigates the impact of two years of emergency distance schooling on achieving Sustainable Development Goal (SDG) 4—equitable quality education, both globally and in Kazakhstan. The study used a qualitative research design. Individual semi-structured interviews were conducted with 30 teachers and 30 parents, while focus group discussions (FGDs) were utilised to gather the perspective of 28 students. The conceptual framework developed puts effective pedagogy at the heart of quality distance education, nested within four supportive factors—digital infrastructure; policy guidelines about pedagogy; curriculum and assessments; professional development in digital pedagogy; and the home environment. The study found that distance schooling in Kazakhstan has undermined progress on SDG 4 and worsened inequalities in access to quality education despite the distribution of digital devices to disadvantaged children and teachers. While mainstream public school teachers transitioned to distance school without any systematic preparation, provision of digital resources or clear policy guidelines, schoolteachers at elite public institutions received meticulous guidance and support. Despite later receiving professional development in digital pedagogy and access to digital resources and platforms, public school teachers in rural and deprived urban areas still faced challenges due to fragmented internet connectivity. This limited interactive and communicative pedagogy, particularly in rural and public schools, and hindered teachers’ ability to assess the impact of their teaching on student outcomes. Policy initiatives failed to mitigate disadvantages in the home environment for low-income families, parents with limited education and working parents, especially mothers, who primarily supported homeschooling. Recommendations are offered for adapting education provision and envisioning more robust education quality to achieve SDG 4 and address historical inequities in a post-pandemic world.

Educational recommenders have received much less attention in comparison with e-commerce- and entertainment-related recommenders, even though efficient intelligent tutors could have potential to improve learning gains and enable advances in education that are essential to achieving the world’s sustainability agenda. Through this work, we make foundational advances towards building a state-aware, integrative educational recommender. The proposed recommender accounts for the learners’ interests and knowledge at the same time as content novelty and popularity, with the end goal of improving predictions of learner engagement in a lifelong-learning educational video platform. Towards achieving this goal, we (i) formulate and evaluate multiple probabilistic graphical models to capture learner interest; (ii) identify and experiment with multiple probabilistic and ensemble approaches to combine interest, novelty, and knowledge representations together; and (iii) identify and experiment with different hybrid recommender approaches to fuse population-based engagement prediction to address the cold-start problem, i.e., the scarcity of data in the early stages of a user session, a common challenge in recommendation systems. Our experiments with an in-the-wild interaction dataset of more than 20,000 learners show clear performance advantages by integrating content popularity, learner interest, novelty, and knowledge aspects in an informational recommender system, while preserving scalability. Our recommendation system integrates a human-intuitive representation at its core, and we argue that this transparency will prove important in efforts to give agency to the learner in interacting, collaborating, and governing their own educational algorithms.

Analysis of publication intensity is an important tool for following research trends. Recent studies have recorded a decrease in the number of Polish publications on the topics of “economy” and “energy”, while global trends showed an increase in the number of publications. The present study undertakes a review of research on the topic of “education” (Sustainable Development Goal 4, SDG 4) based on the number of scientific publications in the Scopus database from 2017 to 2024. The objective of the review was to examine whether a discernible decline in the number of publications by Polish researchers in the field of education research has indeed occurred since 2021. Eight research hypotheses were proposed and tested. The following methods were used: graphical interpretation of 1,116,101 search results from scientific sources, scientometric and correlation analyses, and an analysis of the top 10 most cited publications on this topic, both in Poland and globally. The scientific contribution of this study is in testing and evaluating the hypotheses: the first, the third, the fourth, the fifth, the sixth, and the eighth hypotheses were rejected; the second and the seventh hypotheses were accepted. For the first time, the data obtained confirmed a serious problem in Polish science: since 2021, Poland’s position in the global scientific research market has been declining. The review showed the most popular branches of research in Poland and in the world. These are studies on the use of artificial intelligence, which corresponds to the sixth technological paradigm. The review also showed some differences in Polish specifics and global trends. The practical value lies in managerial recommendations for the Polish Government aimed at improving research on SDG 4. The knowledge gained advances modern knowledge about the management of education research in the context of SDG 4. This review is an important contribution to further research on the sustainability of education worldwide.