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Explore ways generative AI can support student collaboration—like team skill identification and helping brainstorm team reflection 

Use and adapt a simple student-facing checklist to guide reflection on when, why, and how they use AI—helping them develop responsible habits and metacognitive skills.

Help students move beyond passive use of AI tools by engaging them in reflection, comparison, and critique—strengthening their analytical thinking and decision-making.

Bring curiosity and creativity into your classroom with playful, low-stakes activities that let students explore generative AI while building comfort and competence.

Review sample learning outcomes associated with generative AI use from lower order to higher order thinking, and consider how to adapt or add them to your own course 

Discover tips and examples for clearly communicating your course AI policy to students, while promoting shared understanding and academic integrity.

Learn strategies to teach students how to craft clear, purposeful prompts that lead to more useful outputs from generative AI tools.

Explore easy, effective ways to introduce students to generative AI tools, including how to address capabilities, limitations, and ethical considerations from day one.

• Strategies for Holding Students Accountable
• Successful Small Group Work for the Hybrid Environment
• Engaging Students Meaningfully in Discussions
• Engage Students in Collaborative Work Across Environments
• Getting Students to Tune in & Stay Attentive: Quick Check-ins
• Considerations for Students Working In Groups Across Environments (Remote & Face-to-Face)

• Decrease Grading Time:  Using Rubrics to Communicate Expectations
•   Helping Student to Become Critical Thinkers:  Problem-Solving with Metacognition Prompts
• Group Work that Works:  Jigsaw Technique