Generative AI and Its Educational Implications

• URL: http://arxiv.org/abs/2401.08659v2
• Date: Tue, 23 Jan 2024 21:59:28 GMT
• Title: Generative AI and Its Educational Implications
• Authors: Kacper {\L}odzikowski (Adam Mickiewicz University, Pozna\'n, Poland), Peter W. Foltz (University of Colorado), John T. Behrens (University of Notre Dame)
• Abstract summary: We discuss the implications of generative AI on education across four critical sections. We propose ways in which generative AI can transform the educational landscape. Acknowledging the societal impact, we emphasize the need for updating curricula.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: We discuss the implications of generative AI on education across four critical sections: the historical development of AI in education, its contemporary applications in learning, societal repercussions, and strategic recommendations for researchers. We propose ways in which generative AI can transform the educational landscape, primarily via its ability to conduct assessment of complex cognitive performances and create personalized content. We also address the challenges of effective educational tool deployment, data bias, design transparency, and accurate output verification. Acknowledging the societal impact, we emphasize the need for updating curricula, redefining communicative trust, and adjusting to transformed social norms. We end by outlining the ways in which educational stakeholders can actively engage with generative AI, develop fluency with its capacities and limitations, and apply these insights to steer educational practices in a rapidly advancing digital landscape.

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