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Session Submission Type: Workshop
Whether one seeks to integrate or mitigate its use, the rapid development of generative AI tools presents a significant challenge for those teaching in higher education settings. Attempting to design one’s courses, assignments, and assessments in the age of AI can feel like playing intellectual whack-a-mole as the sophistication, rapid development, and availability of the tools far outpaces our ability to adjust our teaching methods or to detect their use. Conversely, determining whether or how to integrate AI tools into teaching be challenging when there is little research available on best practices about how to integrate AI to enhance, not detract from, learning.
Key learning objectives of this interactive workshop include 1) describing key principles of effective course and assignment (re)design in light of generative AI; 2) identifying strategies to promote AI-mitigation and/or thoughtful AI integration into course assignments; 3) promoting in our students the ability to act as “AI-discerning” learners (i.e., approaching the use of AI tools critically and with a learning-focused mindset), and 4) articulating our approach to AI use in the classroom through the development of a syllabus statement on AI-use.
This workshop will be interactive and accessible, offering participants different forms of engagement including engaging with short lecture components, completing polls, paired, small, and large group discussions, and time for individual brainstorming and drafting. Grounded in the scholarship on teaching and learning, this workshop will present recent research on the learning challenges and affordances that AI use brings to the higher education classroom. The activities and discussions will focus on 1) beginning to “makeover” assignments and assessments to address vulnerabilities to AI while retaining authenticity and relevance for students and 2) crafting an AI policy for use in their courses.