Integrating AI into Assignments: Ensuring Student Learning

Описание: How can faculty use AI in student assignments without losing sight of deep learning and critical thinking? In this session, SIS faculty coordinator Elizabeth Cohn shares practical strategies, concrete assignment designs, and big-picture questions about what higher education should look like in the age of AI. From AI evaluation tasks to AI-limited learning environments, she walks through ways to keep student learning—not efficiency—at the center of course design.

Chapters
00:00 - Introduction and focus on student learning
01:20 - A cautious, “walk slowly into AI” approach
02:11 - Four-part AI and assignments handout
03:07 - Designing courses that limit or discourage AI use
04:19 - Setting clear AI policies at the course and task level
05:59 - Mission of higher education vs. efficiency
07:26 - AI agents, Canvas, and conflicts of interest
08:27 - Three discipline-based AI assignment examples
11:15 - Creating a culture where students do not want to rely on AI
13:13 - In-class exams, lockdown browsers, and tradeoffs
14:39 - Rethinking memorization and Bloom’s taxonomy in the AI era

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