Developing Guidelines for the Use of Generative AI in Education and Research-Toward Acceptance of Ethical Behavior by Students

Abstract

The advent of generative artificial intelligence (AI) has created confusion in education and research. Generative AI will force a review of lesson design in educational settings, and the future of education will necessarily include dramatic changes. Accordingly, many educational institutions have begun formulating operational policies for generative AI in educational and research activities. To address these newly emerging issues, Sendai University formulated guidelines for students and faculty to indicate policies for using generative AI in education and research. These guidelines provide operational policies regarding events that may occur when using generative AI. If the text output by AI is copied and parsed as a report or paper, it may be considered plagiarism. Report assignments are intended to develop the ability to understand and generate objective and logical texts; however, the use of AI must not impede the development of that ability. It is necessary to confirm whether the information output from AI is correct, and when confirming information, it is necessary to do so based on multiple information sources. Care must be taken not to input personal information, private information, or confidential information into AI systems. This study examines the degree of student acceptance of these guidelines.



Author Information
Nagayuki Saito, Sendai University, Japan
Chiaki Hashimoto, Sendai University, Japan

Paper Information
Conference: IICE2024
Stream: Educational policy

This paper is part of the IICE2024 Conference Proceedings (View)
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To cite this article:
Saito N., & Hashimoto C. (2024) Developing Guidelines for the Use of Generative AI in Education and Research-Toward Acceptance of Ethical Behavior by Students ISSN: 2189-1036 – The IAFOR International Conference on Education – Hawaii 2024 Official Conference Proceedings https://doi.org/10.22492/issn.2189-1036.2024.65
To link to this article: https://doi.org/10.22492/issn.2189-1036.2024.65


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Posted by James Alexander Gordon