Analysis of Trends in the Use of Generative AI for Learning by Attributes and Characteristics of University Students

Abstract

The emergence of generative AI may fundamentally change the way humans create, share, and use information. Generative AI has the ability to generate all kinds of content, including text, music, images, and code. This will change our creative activities and may require us to fundamentally rethink our notions of the attribution of the content produced, the handling of personal, privacy, and confidential information, etc. This would bring about a sea change in society. In education, it could even have the potential to dramatically change the nature of existing educational practices, such as customizing teaching materials and enabling adaptive learning that responds to learning needs, progress, and comprehension. On the other hand, generative AI poses new challenges such as piracy, information reliability, and cheating, which require a new framework of educational architecture to address them. To this end, it is necessary to clarify the use of generative AI in learning, technical knowledge of AI, and psychological awareness of AI by the attributes and characteristics of students as learners, and to use the results in future measures. In this study, a comparative analysis of the use, knowledge, and consciousness of generative AI among students from economics university, engineering university, and sports science university was conducted. The results showed that students at engineering universities were the most active in utilizing generative AI for learning activities, using it for a variety of purposes. Conversely, students at sports science university felt most strongly regarding their anxiety about using generative AI in their university learning and research activities.



Author Information
Nagayuki Saito, Sendai University, Japan

Paper Information
Conference: ACEID2024
Stream: Design

This paper is part of the ACEID2024 Conference Proceedings (View)
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To cite this article:
Saito N. (2024) Analysis of Trends in the Use of Generative AI for Learning by Attributes and Characteristics of University Students ISSN: 2189-101X – The Asian Conference on Education & International Development 2024 Official Conference Proceedings https://doi.org/10.22492/issn.2189-101X.2024.83
To link to this article: https://doi.org/10.22492/issn.2189-101X.2024.83


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