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Shaping the Future of Education: A Cluster Analysis of Generative AI's Transformative Impact

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Title: Shaping the Future of Education: A Cluster Analysis of Generative AI's Transformative Impact
Language: English
Authors: Hussein-Elhakim Al Issa, Greeni Maheshwari
Source: Interactive Technology and Smart Education. 2026 23(1):113-165.
Availability: Emerald Publishing Limited. Howard House, Wagon Lane, Bingley, West Yorkshire, BD16 1WA, UK. Tel: +44-1274-777700; Fax: +44-1274-785201; e-mail: emerald@emeraldinsight.com; Web site: http://www.emerald.com/insight
Peer Reviewed: Y
Page Count: 53
Publication Date: 2026
Document Type: Journal Articles
Information Analyses
Descriptors: Educational Trends, Futures (of Society), Artificial Intelligence, Educational Change, Technology Uses in Education, Educational Research, Periodicals, Authors, Publications, Research Methodology, Models, Creativity, Educational Innovation, Educational Practices, Foreign Countries
DOI: 10.1108/ITSE-01-2025-0013
ISSN: 1741-5659
1758-8510
Abstract: Purpose: This study aims to investigate the transformative impact of Generative Artificial Intelligence (Gen-AI), particularly ChatGPT, on education. Through comprehensive bibliometric and content analysis, this study maps publication trends, identifies key research themes, uncovers gaps in the literature and explores future directions for effectively integrating AI into educational systems. Design/methodology/approach: A systematic review of 817 articles published between 2021 and 2024 was conducted to explore the evolving landscape of Gen-AI in education. Using bibliometric and content analysis, this study used coword analysis, thematic mapping, cluster analysis and bibliometric coupling to identify trends, gaps and the structural and conceptual frameworks underlying the integration of Gen-AI in educational settings. Findings: The analysis identified four key thematic clusters: Gen-AI as a driver of educational transformation, its impact on curriculum and pedagogy, ethical and integrity considerations in higher education and its role in enhancing creativity and knowledge. This study proposes a conceptual framework with 10 propositions and 12 research inquiries, emphasizing personalized learning approaches and robust ethical safeguards. Practical implications: This research offers actionable insights for educators, policymakers and AI developers, providing a roadmap for the responsible integration of Gen-AI into educational strategies. It emphasizes fostering innovation while addressing concerns about ethical, social and academic integrity. Originality/value: This study offers a comprehensive synthesis of the rapidly expanding research on Gen-AI in education, with a particular emphasis on ChatGPT. Analyzing 817 peer-reviewed articles from 2021 to 2024, this study combines bibliometric, thematic and content analyses to identify four research clusters and track their evolution. Aligned with UNESCO's AI Ethics Recommendation, it provides a conceptual framework, 10 theoretical propositions and 12 research questions, delivering practical insights and a strategic agenda for researchers, educators and policymakers.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1505741
Database: ERIC
FullText Text:
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  Data: Shaping the Future of Education: A Cluster Analysis of Generative AI's Transformative Impact
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  Data: <searchLink fieldCode="AR" term="%22Hussein-Elhakim+Al+Issa%22">Hussein-Elhakim Al Issa</searchLink><br /><searchLink fieldCode="AR" term="%22Greeni+Maheshwari%22">Greeni Maheshwari</searchLink>
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  Data: Emerald Publishing Limited. Howard House, Wagon Lane, Bingley, West Yorkshire, BD16 1WA, UK. Tel: +44-1274-777700; Fax: +44-1274-785201; e-mail: emerald@emeraldinsight.com; Web site: http://www.emerald.com/insight
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  Data: 10.1108/ITSE-01-2025-0013
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  Data: Purpose: This study aims to investigate the transformative impact of Generative Artificial Intelligence (Gen-AI), particularly ChatGPT, on education. Through comprehensive bibliometric and content analysis, this study maps publication trends, identifies key research themes, uncovers gaps in the literature and explores future directions for effectively integrating AI into educational systems. Design/methodology/approach: A systematic review of 817 articles published between 2021 and 2024 was conducted to explore the evolving landscape of Gen-AI in education. Using bibliometric and content analysis, this study used coword analysis, thematic mapping, cluster analysis and bibliometric coupling to identify trends, gaps and the structural and conceptual frameworks underlying the integration of Gen-AI in educational settings. Findings: The analysis identified four key thematic clusters: Gen-AI as a driver of educational transformation, its impact on curriculum and pedagogy, ethical and integrity considerations in higher education and its role in enhancing creativity and knowledge. This study proposes a conceptual framework with 10 propositions and 12 research inquiries, emphasizing personalized learning approaches and robust ethical safeguards. Practical implications: This research offers actionable insights for educators, policymakers and AI developers, providing a roadmap for the responsible integration of Gen-AI into educational strategies. It emphasizes fostering innovation while addressing concerns about ethical, social and academic integrity. Originality/value: This study offers a comprehensive synthesis of the rapidly expanding research on Gen-AI in education, with a particular emphasis on ChatGPT. Analyzing 817 peer-reviewed articles from 2021 to 2024, this study combines bibliometric, thematic and content analyses to identify four research clusters and track their evolution. Aligned with UNESCO's AI Ethics Recommendation, it provides a conceptual framework, 10 theoretical propositions and 12 research questions, delivering practical insights and a strategic agenda for researchers, educators and policymakers.
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      – SubjectFull: Futures (of Society)
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