Setting Boundaries for AI Use Through Syllabus Statements
Students appreciate clear guidance on which uses of generative AI are permitted in coursework, if any, and which are prohibited. The syllabus statements in this collection are examples that instructors can use as they set and communicate boundaries for student AI use that align with their course goals and teaching values.
Supporting Faculty through AI Transition: Tools for Educational Leaders
Faculty are adapting to AI in complex ways beyond simple adoption or resistance. This collection provides educational leaders with frameworks to understand faculty decision-making, identify change barriers, and facilitate inclusive AI integration conversations.
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Most Recent Collections
This gallery highlights the newest from both established and first-time curators.
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Generative AI in Teaching and Learning
This gallery contains collections of resources related to generative artificial intelligence (GenAI) in higher education.
Qualitative Analysis in SoTL
This collection provides an overview of qualitative analysis, guidance for selecting and conducting qualitative analysis, including thematic analysis and constant comparative analysis, and the role of validity and reliability in qualitative research.
Specifications Grading: Benefits and Practices
Are you tired of spending time with students who argue for fractions of points? Do you get frustrated spending your marking time on work that's not even close to what you want? Do you want a more equitable grading approach, maybe one that actually measures student learning outcomes? Specifications grading does that, and more. The resources in this collection include examples of specs grading in practice and reflections by practitioners.
