Teaching with & about AI

(Anna Mills)

Rather than try to ban this technology from classrooms outright, this project asks if this moment offers an opportunity to introduce students to the ethical and economic questions wreaked by these new tools, as well as to consider fresh new forms of pedagogy that can exploit them.

(Ethan R. Mollick and Lilach Mollick)

This open crowdsourced collection presents a rich tapestry of our collective thinking in the first months of 2023 stitching together potential alternative uses and applications of Artificial Intell…

(metaLAB (at) Harvard)

A guide for faculty using ChatGPT to understand, access, and build Custom GPTs through OpenAI. Includes potential use cases.

A compilation of classroom exercises and assessment techniques for assessing learning in contexts where AI is intentionally used, but also in contexts intentionally excluding AI use.

Activities, resources, and pedagogical guidance for bringing AI ethics into your higher education classroom.

This open access book provides practical guidance for higher education professionals looking to use Generative Artificial Intelligence (GenAI) technologies. Blending theoretical grounding with real-world examples and case studies, it gives step-by-step guidance on how to evaluate, select, and implement GenAI technologies in teaching, learning, assessment, and student support. It covers topics including automating administrative processes, adapting learning resources, and critiquing outputs. Each chapter includes reflective exercises and further reading lists and shows how AI can enhance accessibility, efficiency, and creativity in higher education. Alongside this, the many challenges and ethical considerations of using AI are introduced, including issues around plagiarism, quality control, and the need to establish governance protocols. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Open access was funded by Lund University.

This open access book provides practical guidance for higher education professionals looking to use Generative Artificial Intelligence (GenAI) technologies. Blending theoretical grounding with real-world examples and case studies, it gives step-by-step guidance on how to evaluate, select, and implement GenAI technologies in teaching, learning, assessment, and student support. It covers topics including automating administrative processes, adapting learning resources, and critiquing outputs. Each chapter includes reflective exercises and further reading lists and shows how AI can enhance accessibility, efficiency, and creativity in higher education. Alongside this, the many challenges and ethical considerations of using AI are introduced, including issues around plagiarism, quality control, and the need to establish governance protocols. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Open access was funded by Lund University.

Ten quotes. Some human. Some AI. Can you tell the difference? Play in your browser

Can you tell which academic citations are invented by AI? Play in your browser

A Gemini-based auditing tool for evaluating how resistant your assessment design is to cheating with AI

Prompt students to reflect on AI use: how they used it, how it felt, and what they learned.

Assignment ideas and readings aimed at ensuring critical learning in a GenAI environment

These strategies make your assessments more resilient in the face of AI while also supporting best practices for learning.

Teaching activities based around the human values from Analog Inspiration card deck

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Sample assessments collected from instructors that incorporate or respond to generative AI (e.g., ChatGPT).

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