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AI Case Scenarios

While evidence-based approaches for designing curriculum can provide guidance for ensuring alignment, accessibility, and engagement, generative AI introduces new and complex challenges for teaching and learning. In the absence of established best practices, it is essential for faculty to share strategies that both succeed and fall short so that our collective teaching practices can evolve alongside emerging technologies.

These case scenarios highlight practical ways faculty have incorporated generative AI into teaching and curriculum design. Whether you are integrating these tools to enhance learning or developing approaches to thoughtfully mitigate their use, the goal is to promote authentic learning experiences and inspire new ideas for instruction and assessment.

Schedule a consultation with an instructional designer to discuss your assessment or curriculum design strategies. If you have a case scenario you’d like to share, please contact LDCsupport@sandiego.edu.

Case Scenario 1: Implementing GenAI as a Tool for Interactive Classwork Assignments in a Philosophy Course

Case Scenario 2: Reverse Engineering Essays with GenAI in an Advanced English Studies Course