AI ‐driven adaptive learning for sustainable educational transformation

Wadim Striełkowski · Veronika Mikhailovna Grebennikova · Alexander Lisovskiy · Guzalbegim Rakhimova · Tatiana Vasileva

838 citations0/0 files storedSustainable Development

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Artificial Intelligence in Education Online Learning and Analytics Intelligent Tutoring Systems and Adaptive Learning

Abstract

Abstract This paper scrutinizes how adaptive learning technologies and artificial intelligence (AI) are transforming today's education by making it personalized, accessible, and efficient as well as leading people to accepting, addressing, and mitigating sustainable development. Recently, education witnessed a remarkable technological surge driven by various advances in technology, which can be demonstrated by the increase of the number of scientific publications on this topic from just 1 in 1990 to 636 in 2023. Ongoing digitalization and technological revolution in education together with the novel approach to respect each student's unique learning style and abilities paved the way for adaptive learning technologies represented by the innovative tools that personalize educational experiences to cater to individual learners. All of that contributes to preparing more educated and informed citizens, drives innovation, and supports economic growth necessary for achieving a sustainable future. Our bibliographic study employs VOSviewer to conduct a bibliometric analysis of a total number of 3518 selected publications using the keywords “adaptive learning” and “AI” (represented by articles, proceeding papers, and book chapters) indexed in the Web of Science (WoS) database from 1990 to 2024. Our results demonstrate that recent technological changes played a key role in transforming adaptive learning, which was rather reinforced by the “digital surge” in education brought about by the COVID‐19 pandemic. Our findings can be useful for further development in the field of adaptive education where they can be employed by the relevant stakeholders and policymakers as well as by the scholars and researchers.

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References

2021Ethics of AI in Education: Towards a Community-Wide Framework 2022Ethical principles for artificial intelligence in education 2020Online Learning and Emergency Remote Teaching: Opportunities and Challenges in Emergency Situations 2020Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic 2021Algorithmic Bias in Education 2023Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies 2020Emerging challenges in AI and the need for AI ethics education 2020A systematic literature review of personalized learning terms

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