Session Overview
Throughout Higher Education, educators have recognized that incoming undergraduates struggle with math. To help boost student math skills, Economics instructor Robert J. McKeown from York University implemented AI to help bridge the math skills gap. ALEKS, a math learning environment with adaptive questions powered by AI and machine learning, is embedded in the first four weeks of a first-year math for economics course to improve fundamental math skills Using AI, students received personalized feedback on what they didn’t know and could focus on where they needed help the most.
Join us to learn more about Robert’s experience with AI and how you can implement a similar solution to help bridge the math gap at your institution or in your department. This session is applicable to all faculty dealing with a math skills gap and searching for a solution to help support student success.
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Guest Speaker
Robert McKeown, Associate Professor, York University
Robert is a CFA holder and earned his doctorate degree from Queen’s University in 2017 where his research focused on financial stability and banking. He currently holds the position of assistant professor, teaching stream in the Department of Economics at York University where he teaches math and economics. He believes that applying the quantitative research techniques of economics to the classroom can improve the student experience.