Practical Strategies for AI-Resilient Assessments

Description

As generative artificial intelligence tools like ChatGPT become common in higher education, instructors face new challenges in designing assessments to support deep, authentic learning. This hands-on workshop will help faculty evaluate the AI-resilience of their current assessments and revise them to ensure they support meaningful learning.

Attendees will explore concrete strategies grounded in research in adult learning, academic integrity, and inclusive teaching. You'll also receive AI prompts developed specifically for faculty to provide rapid, evidence-based feedback on AI vulnerability and ways to strengthen transparency, alignment, and higher-order thinking in assessments.

Experienced instructional designers will guide you through using Hopkins AI Lab, the university's secure, JHED-authenticated generative AI platform that provides access to multiple large language models.

To access the Hopkins AI Lab, navigate to <lab.ai.jh.edu> and sign in with your JHED account.

After attending this workshop, participants will be able to:

• Identify ways generative AI may affect student learning and academic integrity across different types of assessments
• Apply practical strategies for revising assessments to promote deeper thinking and ethical AI use
• Evaluate AI-generated feedback for enhancing assignment transparency and alignment with learning goals

Whether you're allowing, restricting, or unsure about AI use in your course, this workshop will help you adapt thoughtfully and proactively.

This session is hosted by Johns Hopkins Engineering's Faculty Forward Academy.