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How can generative AI be used to optimize content creation for secondary math use? An exploratory project.

Project Abstract:听As students enter high school, math topics tend to become more abstract, which proves difficult for many students and requires additional instructional support. Teachers of advanced mathematics need more resources to support their students' learning, but their options are currently limited. Even with the growth of online resources, many do not provide personalized support or are not connected to specific secondary math curricula.听Some teachers are starting to turn to generative AI to help create new content, but little is known about how they should do so. Specifically, generative AI (genAI), such as ChatGPT, has not typically been created for educational purposes and given that many are based large language models (LLMs), there is a growing need to understand how these tools can be used to optimize teaching and learning in mathematics.听In this project, we will use an interdisciplinary approach to explore three main areas: 1) Why and how teachers are (or are not) using generative AI, 2) Teachers needs with regard to content/resource generation, and听 3) The scope of existing genAI tools.听听

CORE RESEARCH TEAM

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Principal Investigator:听

Assistant Professor at the Faculty of Education, Learning Science Program.

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Assistant Professor School of Computer Science Department of Linguistics,听MILA-Quebec Artificial Intelligence Institute.

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• MQ Wu, 2nd year PhD Student, Faculty of Education, Learning Science Program听

• Arkil Patel, 3rd year Ph. D student, School of Computer Science, MILA Quebec听

• Shuai Chen, 1st year PhD Student, Faculty of Education, Learning Science Program听

• Alex Krantz, 4th year Undergraduate student, Computer Science and Mathematics Dual Major听听

• Michael Yu, 3rd year Undergraduate student, Computer Science Major听