Leveraging Artificial Intelligence (AI) in Teaching Economics
Join Professor Robert McKeown to explore integrating a large language model (LLM) as a personal tutor in a flipped economics classroom. Learn about student experiences, including benefits, challenges, and the impact of AI on learning quantitative concepts. This session covers practical steps for using AI to complement peer interactions and enhance student engagement and problem-solving.
What you will get from attending this session:
- Understanding AI’s role in Peer-Supported Learning: Discover how an LLM can function as a personal tutor to aid students in problem-solving while preserving the benefits of peer collaboration.
- Practical implementation strategies: Gain insights into structuring in-class exercises with AI in a micro or macro classroom, such as preparing effective prompts and addressing common challenges with LLM outputs.
- Evaluating student feedback and impact: Review student feedback, analysis, and instructor insights from exercises where an LLM was used as a personal tutor in solving quantitative problems.
- A Credly badge for your participation: Receive a Credly badge that you can include in your digital profile such as LinkedIn to showcase your engagement in AI tools for economics education.
Presenter(s): Robert J. McKeown
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About the speaker
Robert J. McKeown, PhD, CFA, is an Assistant Professor of Economics at York University, specializing in innovative teaching practices. As Academic Director of SNACK and a pioneer in integrating AI tools in economics education, Robert McKeown focuses on enhancing student learning and engagement. His research and practice aim to bridge academic concepts with real-world applications, fostering analytical skills for the future of work.