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Generative Artificial Intelligence in Teaching and Learning: Apply

With a basic understanding of generative AI, the next step is to consider how it could be applied in teaching and learning contexts. AI has the potential to enhance educational experiences through approaches like augmenting teaching techniques, personalizing learning and streamlining administrative tasks. Integrating these powerful tools can offer benefits for both educators and students.  

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Curated Resources  Learn More

This list of helpful AI resources has been curated by Dr. Stephanie Verkoeyen, educational developer with the MacPherson Institute. Resources include articles, blogs, chapters, chatbot builders, courses, directories/libraries, discussion groups, guidebooks, infographics, podcasts, reports, slide decks, tools and websites. Each resource is tagged and annotated to provide further learning. 

Custom Workshops  Email us

Educational developers from the MacPherson Institute can design and deliver program and department specific workshops and training related to generative AI. Reach out here to mi@mcmaster.ca to discuss. 

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Community of Practice   Learn More

Learn from others working in the generative AI space in this McMaster Community of Practice.  

Generative AI and Assessment Research  Learn More

MI Postdoctoral Fellow Ben Lee Taylor is conducting a study on generative AI and assessment in higher education. Results are forthcoming, but one output includes an open access repository (CC licensed for free use) of sample assessments that address or respond to generative AI. 

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Assessment Partner Learn More

The assessment partner uses generative AI to help instructors draft custom assessments for their courses. By selecting course details, learning outcomes and assessment goals, instructors can easily develop unique, outcome-focused assessments. The Assessment Partner can also create assessments that intentionally incorporate generative AI into the assessment itself, OR make generative AI use by students more challenging.