EDGE-AI Insights: Navigating the Future of Learning with Generative AI
Last Spring, the CEI invited faculty and teaching staff to propose Education and Generative AI (EDGE-AI) projects to explore new teaching and learning methods for using generative AI technology in teaching and learning. A year on, these projects are yielding important findings for best teaching practices. In this workshop, two of our EDGE-AI projects share their work so far, their findings, and how these findings can help shape the new landscape of generative AI in teaching and learning.
Grading with AI: How to Save Time, Improve Feedback, & Increase Consistency
About the workshop:
Grading and assessment continue to be significant challenges for many educators. It requires considerable time and effort to grade assignments. It requires even more time and energy to provide quality feedback, resulting in few instructors offering as many suggestions for improvement as they would like. Finally, even the most committed educators can lose focus after grading tens or even hundreds of essays, which may lead to inconsistent and unfair evaluations.
Use of Inclusive Language in Your Teaching Context
Language is powerful and can exclude or include others. Being inclusive is a HKUST core value. It’s important that the language we use in our teaching is inclusive.
Solving Problems with generative AI as your Wingman
Title: | Solving Problems with generative AI as your Wingman: Developing experiential exercises, negotiations, and cases that use generative AI to foster critical thinking when addressing complex bus
HKUST-AITA program: Leveraging Al to Revolutionize Teaching & Learning at HKUSTBody
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