AI-Resistant Assessments

“The assessment challenge AI has created is real. But in many ways, it’s also an overdue invitation to rethink how we measure learning.” Med Kharbach’s exceptionally clear and concise, 20-page “AI Resistant Assessments: A Practical Guide for Teachers” resonates with many of our campus conversations about course and assignment design in an AI era. He provides eight examples of types of assignments you might try, some brief reflection on issues to consider, and a focused set of practical tips on how to implement changes and why it matters.

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4 Better Ways to Grade Team Projects

As we head into the final weeks of the semester, many of our classes are busy with group presentations and team projects. If you find yourself getting preemptively frustrated with the challenge of grading a team project, take a minute to read  Lauren Vicker and Tim Franz’s suggestions about transparent rubrics, mid-project feedback, and opportunities for peer evaluation.

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In-Class Assessment Strategies

What a great turnout at last week’s (11/6/25) Teaching Matters morning coffee! Sixteen colleagues from across academic divisions and offices joined us to wrestle with the challenges–new and old–of designing and implementing effective in-class assessments. We talked through some of our  reasons for using in-class assessments, including long-term pedagogical practices and more recent AI-related concerns. In the process, colleagues shared a variety of approaches that are working in their classrooms, including:
  • Fostering student commitment by helping them understand the “why” behind assessments through conversation and clear prompt design;
  • Having students write weekly “muddy waters” cards about what’s still confusing at the end of the week, and using those to kick off the following week;
  • Using scaffolded oral assessments (e.g.,

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