Analysis of Trends in the Use of Generative AI for Learning by Attributes and Characteristics of University Students (79463)
Session Chair: Nagayuki Saito
Wednesday, 27 March 2024 17:45
Session: Session 5
Room: Room 707
Presentation Type: Oral Presentation
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 customising 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 awareness of generative AI among students from liberal arts colleges, information colleges and physical education colleges was conducted. The results showed that students at information universities were the most active in utilising generative AI for learning activities, using it for a variety of purposes including learning, image production, content creation activities and programme coding, while they were less confident in judging cheating offenses.
Authors:
Nagayuki Saito, Sendai University, Japan
About the Presenter(s)
Professor Nagayuki Saito is a University Assistant Professor/Lecturer at Sendai University in Japan
See this presentation on the full schedule – Wednesday Schedule
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