10 Assessment design strategies that render AI cheating irrelevant скачать в хорошем качестве

10 Assessment design strategies that render AI cheating irrelevant

So many debates about AI...one thing is certain AI isn’t going away, but trying to “catch” students using it is a losing battle. This video shifts the focus from AI detection to intentional assessment design. In this video, you’ll learn 10 practical strategies for designing assessments that naturally minimise inappropriate AI use by rewarding authentic thinking, personal engagement, and real learning: 1. Use context-rich, localised assessment tasks Design prompts grounded in specific course content, local case studies, and students’ own experiences. 2. Assess the learning process, not just the final product Include drafts, revisions, learning logs, and reflective checkpoints. 3. Include oral, in-class, or live components Use short, viva-style explanations, in-class problem-solving, or recorded walkthroughs. 4. Use authentic, real-world assessment tasks Align assessments with professional practices such as policy briefs, lesson plans, or real data analysis. 5. Require students to take a personal position Ask learners to justify decisions, explain trade-offs, and defend their choices. 6. Use multi-modal assessments Go beyond text with visual models, concept maps, audio or video reflections, and demonstrations. 7. Design iterative feedback and revision cycles Build in feedback loops, peer review, and opportunities for resubmission. 8. Explicitly assess metacognition Ask students to reflect on how they learned, what challenged them, and what they would improve. 9. Co-create assessment criteria with students Develop rubrics together to increase ownership, transparency, and accountability. 10. Clearly define when and how AI may be used Set clear expectations for acceptable AI use and how it should be acknowledged. 2:09 1. Use context-rich, localised assessment tasks 3:24 2. Assess the learning process, not just the final product 4:45 3. Include oral, in-class, or live components 5:58 4. Use authentic, real-world assessment tasks 7:03 5. Require students to take a personal position 7:48 6. Use multi-modal assessments 8:42 7. Design iterative feedback and revision cycles 9:31 8. Explicitly assess metacognition 10:28 9. Co-create assessment criteria with students 11:05 10. Clearly define when and how AI may be used 12:19 final thoughts