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Identifying Key Elements for Future Education: A Keyword Analysis of Generative Artificial Intelligence in Education Using Text Mining Techniques

Gi-A Kim Primary Contact
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Abstract

This study was conducted to identify key elements of future education in relation to generative artificial intelligence (AI), particularly in light of rapid technological advancements and the upcoming implementation of AI digital textbooks in 2025. Using text mining techniques, this research systematically analyzed keywords related to generative AI in education. The study examined 6,170 academic dissertations across various educational research fields from 2022 to 2024.

The research methodology employed key text mining techniques, specifically keyword frequency analysis and keyword network analysis. The results revealed several significant findings. First, the keyword frequency analysis identified high-frequency terms related to generative AI in education, including 'utilization', 'education', 'design', 'prompt', 'class', and 'learning'. Second, the keyword network analysis demonstrated that 'design' exhibited strong correlations with various educational elements, indicating its central role in the educational application of generative AI.

The significance of this study lies in its methodological approach, employing objective text mining techniques to identify key elements of future education. The findings are expected to provide practical implications for establishing educational policies and developing curriculum in the era of generative AI.

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Keywords
Text Mining Generative Artificial Intelligence Education Keyword Frequency Analysis Keyword Network Analysis
Details
Section Articles
Issue Vol. 1 No. 2 (2025): Volume 1 Issue 2 (May 2025)
Published 2025-05-30
Pages 20-35
Authors
Gi-A Kim Primary Contact

  • Adjunct Professor at Shinhan University
  • Graduated from Seoul School of Integrated Sciences & Technologies (aSSIST), Graduate School of AI, Department of AI Advanced Studies, Major in AI Big Data (Master of Engineering)
  • Research Interests : AI, Big Data Analytics, Natural Language Processing, Generative AI, Educational Data Mining etc.
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How to Cite
Identifying Key Elements for Future Education: A Keyword Analysis of Generative Artificial Intelligence in Education Using Text Mining Techniques. (2025). AI Journal of BUsiness, 1(2), 20-35. https://jnl.ampla.page/aijb/article/view/116