Funded by a teaching and development grant from my institution, this project argues that existing commercial AI tools can be leveraged to benefit student learning in the classroom. The adopted tools include: OtterAI for lecture transcription, ChatGPT for summarization and quiz generation, and Elai for digital avatar generation. These tools are combined into a workflow that easily provides students with short video reviews of key lecture points for their own study and revision. The use of gen AI is subject to various ongoing critiques, including possible hallucination and bias. However, AI’s ability to effectively simplify and summarize is less subject these issues. This project seeks to harness this strength. While much discourse around generative AI in education has focused on possible issues of 'academic integrity' breaches by students, this project argues that use of AI in the classroom can be extremely beneficial from the other side of the lectern. At the time of writing this abstract, the results are not yet available. However, by the time of the conference, students exposed to the project will have been surveyed anonymously via Microsoft Forms as to the effectiveness of the tools as a learning aid; both Likert scale type and open-ended questions will be posed. While this means I cannot include definitive conclusions about the project in this proposal, I expect to be able to show that AI tools for student learning can be enabled at low cost, in terms of both effort and money.

Authors:
Stuart Hargreaves, The Chinese University of Hong Kong, Hong Kong

About the Presenter(s)
Stuart Hargreaves is an associate professor in the Faculty of Law at the Chinese University of Hong Kong. His research interests include constitutional law, privacy law, and tertiary education. His current project leverages AI in course delivery.

Connect on Linkedin
https://www.linkedin.com/in/shargreaves/

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