B. Jean Mandernach
Learning verification—asking students to explain or defend their submitted work—counters GenAI cheating in asynchronous online courses.
As generative AI makes written assignments unreliable measures of student learning, online educators need new ways to assess authentic understanding. This article introduces 'learning verification,' a pedagogical approach where students must actively demonstrate comprehension of their submitted deliverables. The author provides practical strategies for implementing these verification checks in asynchronous environments.
Instructional designers should integrate short, secondary reflection tasks—such as brief audio or video explanations—directly tied to major written assignments. Designers should also restructure rubrics to weight the student's explanation of their process as heavily as the final product.
Integrating generative AI into 3D educational game design enables rapid prototyping of personalized and adaptive learning experiences.
Grounding GenAI training in hands-on, playful experimentation helps faculty build literacy, but some still crave structured guidance.
Professional conferences bridge virtual gaps and foster critical collaborations to disseminate online learning research.
Generative AI is rapidly reshaping higher education, forcing institutions to rethink teaching, learning, and institutional strategy.
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