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EDGE-AI Insights: Navigating the Future of Learning with Generative AI

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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

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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.

Solving Problems with generative AI as your Wingman

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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

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HKUST-AITA program: Leveraging Al to Revolutionize Teaching & Learning at HKUST

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Project Leader: Prof Zhi NING
School: Academy of Interdisciplinary Studies (

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An AI Agent Learning Assistant

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Engaging Students: Leveraging on competition and collaboration

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Engaging students can be quite challenging, especially in courses where class sizes are high. The speaker will share some techniques he has used in his classes to encourage engagement and participation in the classroom. The techniques leverage on competition and collaboration in the classroom. Students first engage in some form of healthy competition which sparks student interest in a topic, then reflect on the lessons from the competition, and then finally collaborate by sharing their self-discovery with others, which can lead to great synergies in learning.
Project Leader: Prof Kani CHEN
School: