Abstract
Today, generative AI is creating disruptions in education, urging schools and universities to reconsider their lesson designs. If generative AI has the potential to reshape education and learning, swift action is required to prepare for this transformation. This study examines the impacts of generative AI on students and teachers, its potential future influence, and the educational challenges it poses. A web-based survey collected responses from 8,769 participants, including 5,942 students and 2,827 teachers from Japanese high schools and universities. After excluding invalid responses, 6,939 valid responses were analyzed (4,323 from students and 2,616 from teachers). As of March 2024, 30.3% of students had used generative AI, leaving about 70% yet to adopt it. Among teachers, the usage rate was 19.3%, 11 percentage points lower than that of students. Notably, 27.8% of students who used generative AI admitted copying AI-generated outputs into their assignments. Furthermore, 50% of high school students using generative AI reported uncertainty about what constitutes academic misconduct. These findings highlight the urgent need for ethics education aligned with institutional guidelines to prevent academic misconduct. Such education should address risks like dishonesty while fostering proper use and citation of generative AI. Additionally, it is crucial to introduce positive applications of generative AI in education. For teachers, specialized training programs should cover the basics of generative AI, strategies for integrating it into teaching, and approaches to revising assessment methods. These measures are essential for effectively addressing the challenges posed by generative AI in education.
Author Information
Nagayuki Saito, Sendai University, Japan
Chiaki Hashimoto, Sendai University, Japan
Yasumasa Yamaguchi, Sendai University, Japan
Hidetaka Uchino, Sendai University, Japan
Paper Information
Conference: SEACE2025
Stream: Innovation & Technology
This paper is part of the SEACE2025 Conference Proceedings (View)
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To cite this article:
Saito N., Hashimoto C., Yamaguchi Y., & Uchino H. (2025) Challenges to the Use of Generative AI in Teaching and Learning Among Students and Faculty ISSN: 2435-5240 The Southeast Asian Conference on Education 2025: Official Conference Proceedings (pp. 607-617) https://doi.org/10.22492/issn.2435-5240.2025.51
To link to this article: https://doi.org/10.22492/issn.2435-5240.2025.51
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