Grant Recipients
Michelle Ogrodnik, Kinesiology and Health Sciences
Kate Mercer, Library
Daniel Opperwall, Centre for Extended Learning
(Project timeline: January 2026 - June 2027)
Description
As generative AI (GenAI) tools become more integrated into higher education, it is essential that students are equipped to use them both ethically and effectively. This project examines the impact of a short, (approx. 30 minutes to complete) online learning module designed to enhance students’ understanding of GenAI and responsible use in academic contexts. The module covers key concepts, including what is GenAI, key ethical concerns it raises (e.g., bias, data privacy, environmental impact), and best practices for attribution. Students complete pre- and post-module surveys to measure shifts in their awareness of key GenAI-related topics. We are also collecting baseline data on GenAI usage frequency. Data will be collected from Faculty of Health and Faculty of Engineering students. The findings will guide the module’s refinement for broad university adoption, to ensure that students are prepared for success.
Research Questions
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Evaluate baseline and pre-post module data to assess the module’s impact.
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Collect baseline data on the frequency with which students use GenAI tools and their level of preparedness to use them effectively.
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Gather baseline data on students’ awareness of how GenAI tools work, ethical concerns, and the proper citation/attribution of GenAI-generated content.
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Measure changes in awareness and understanding of key outcomes at the group level before and after completing the module.
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Investigate whether trends differ between Health and Engineering students.
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Create intentional materials (e.g., slide decks for instructor use, infographics or videos for student use, academic one-page summary for institutional use) that demonstrate findings in an accessible and digestible ways.
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Communicate findings and curated materials with key stakeholders.