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Cyber Physical Learning Alliance Series: The Future of Education

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The Center for Education Innovation is proud to present a series of workshops and talks featuring experts from the Cyber-Physical Learning Alliance (CPLA), including key guests from Tecnológico de Monterrey (TEC) and Singapore University of Technology and Design (SUTD), who will offer insights into the forefront of Cyber-Physical Learning (CPL). Through this series, we aim to deepen our collective understanding of CPL's transformative potential in higher education. The sessions are designed to engage faculty members by showcasing innovative educational technologies and methods, such as living labs, learning analytics, and the use of portable EEG technology to assess learner concentration. These workshops equip faculty with tools to enhance teaching effectiveness and monitor learner engagement, and also foster data-informed decision-making. By utilizing empirical evidence, educators can tailor their teaching strategies to improve overall educational outcomes. These talks are particularly relevant for colleagues experimenting with VR, AR, XR, and AI in their teaching, providing them with valuable insights into how these technologies can be integrated into educational practices. Each session will not only highlight groundbreaking research and applications but also encourage discussions about the ethical and effective use of technology in education. Join us in exploring how these advanced technologies can redefine teaching and learning, and prepare us for the future of education in an increasingly digital world.

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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Project Leader: Prof Kani CHEN
School: