What happened
Faculty Focus published B. Jean Mandernach’s article "5 Ways to Verify Student Learning in the Age of AI" on August 17, 2026. Mandernach argues that when AI use makes submitted work uncertain, instructors should ask students to demonstrate understanding rather than prove how the work was produced. The article says AI detectors have unacceptable false positives and bias against non-native English speakers, citing Liang et al. and Weber-Wulff et al.
Why it matters
For educators and instructional designers, the practical shift is from policing authorship to assessing demonstrated learning. The article frames verification as usable under varied institutional AI policies, but it does not remove the need to align with local grading and academic integrity processes. The methods could also translate to workplace learning where final submissions alone may not show competence.
What to do next
Consider adding clear syllabus and assignment language that students may be asked to explain their work. Mandernach lists five verification options: one-on-one conversation, written reflection, student video, draft submission trail, and AI chat log review where AI tools are permitted. Use neutral outreach, document outcomes briefly, and treat method choice as context-dependent.
About this briefing
Reviewed by TutorFlow Editorial. We link the primary source, preserve its publication date, and distinguish reported claims from TutorFlow analysis. Our commentary focuses on practical decisions for educators and training teams.
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