The GenAI Educational Landscape: Best Practices for Instructors This workshop is designed to equip faculty with the necessary skills and knowledge to effectively integrate Generative Artificial Intelligence into the classroom setting. Faculty members will explore its impact on students and instruction, learn how to discuss Generative AI (GenAI) with students and receive guidance on writing a GenAI syllabus statement. Although this workshop is designed for … Continue reading The GenAI Educational Landscape: Best Practices for Instructors »

Harness U-M Maizey for Teaching and Learning U-M Maizey is a tool that enables U-M faculty, staff, and students to use custom datasets to enhance their GenAI experience, helping them extract insights, discover patterns, and gain deeper knowledge from the data. Discover how to enhance your classroom with U-M Maizey by integrating it seamlessly with Canvas and using it as an innovative assistant for supporting … Continue reading Harness U-M Maizey for Teaching and Learning »

Introduction to GenAI: Unpacking Key Concepts This workshop introduces instructors, students, and staff to the basics of generative artificial intelligence (GenAI) and its applications in academic and everyday settings. Participants will gain a foundational understanding of common GenAI tools and their relevance in various educational and professional contexts. Workshop Outline: What is GenAI? Definition and Overview Introduction to U-M GPT Exploring Key Concepts and Terminology … Continue reading Introduction to GenAI: Unpacking Key Concepts »

You’ve established syllabus policies and had conversations with your students about Generative AI, but how do you adapt your assessment strategies to ensure that you can evaluate their learning?  We know standard essay prompts, quick-answer quizzes, assignments, and even discussion posts can be easily completed by AI. This workshop focuses on evaluating the “offload-ability” of your assessments and identifying opportunities for AI integration, mitigation, or … Continue reading Rethink and Redesign Assessment for the GenAI Era »

Critical Challenges in Generative AI: This workshop focuses on the limitations of generative artificial intelligence, with a particular emphasis on ethical considerations, academic integrity, equity, and bias concerns. Participants will be introduced to high-level issues in these areas, preparing them for further extensive training opportunities. Workshop Outline: Academic Integrity The role of GenAI in maintaining or challenging academic standards How to evaluate student work in … Continue reading Critical Challenges in Generative AI: Academic Integrity, Bias, Responsibilities, and Risks »

From Basics to Brilliance: Prompt Crafting with U-M GPT This workshop equips faculty, staff, and students with the essential skills to effectively use U-M GPT, the University of Michigan’s equitable, accessible, and secure text-based Generative Artificial Intelligence tool. The session includes foundational and advanced techniques for crafting effective prompts, exploring creative AI interactions, and leveraging U-M GPT for various educational applications. Participants will engage in … Continue reading From Basics to Brilliance: Prompt Crafting with U-M GPT »

You’ve established syllabus policies and had conversations with your students about Generative AI, but how do you adapt your assessment strategies to ensure that you can evaluate their learning?  We know standard essay prompts, quick-answer quizzes, assignments, and even discussion posts can be easily completed by AI. This workshop focuses on evaluating the “offload-ability” of your assessments and identifying opportunities for AI integration, mitigation, or … Continue reading Rethink and Redesign Assessment for the GenAI Era »