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PASS: Who Did the Work? Direct Measures and AI-Completed Coursework in Program Assessment
Wednesday, October 21, 2026, 2:00 AM - 3:30 PM CDT
Category: Workshop
Program assessment reports often rely on graded, course-embedded work as direct measures, because students are motivated to do well when the work affects their course grade. AI tools can now complete much of that coursework. Report rubrics, even those that ask about testing conditions, rarely ask whether students produced the work themselves. When the report's data collection section says nothing about this, reviewers cannot tell how far the results reflect what students can do on their own.

In this hands-on session, participants will review excerpts from sample program reports using a worksheet they can reuse at their own institution. For each learning outcome, they will note how students completed each direct measure (for example, supervised in class, online with identity or process checks, or unsupervised) and mark the measures where the report says nothing about these conditions. Participants will leave with conversation prompts they can adapt for asking programs and colleagues how students completed the work. They will also leave with a question for the data collection section of next cycle's report template, so programs record these conditions and reviewers can judge how far the results support conclusions about students' learning.

For assessment and institutional effectiveness staff who review program reports or write institutional summaries, coordinators in assessment offices, and faculty who write their program's assessment report. No AI expertise required.