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HKUST x EdUHK Joint Conference on AI Education

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About the Conference

The “Leveraging AI For Change in Education” conference is the first of an annual joint-university initiative between the Hong Kong University of Science and Technology (HKUST) and the Education University of Hong Kong (EdUHK) aimed at exploring the profound impacts and possibilities of artificial intelligence in educational settings, from K-12 and higher education to vocational training and adult learning.

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.

Co-Creating the Future of Education: Innovations in Student Partnership Initiatives

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This workshop showcases the collaborative efforts of student partnership teams from HKUST, HKBU, and HKU, demonstrating the transformative potential of student-staff collaborations in shaping the future of higher education. These partnerships have led to developing unique projects that enhance learning experiences and embody the essence of co-creation in education. Participants will be introduced to various initiatives, including projects that gamify medical education to increase empathy and awareness of healthcare disparities, design learning activities to enhance financial literacy skills and enhance students’ teaching experience with AI technology. These initiatives exemplify how student partnerships can improve learning outcomes, equip students with skills for the future, and innovate teaching methods. The session will offer valuable insights into the strategies and advantages of student partnerships, highlighting how they can inspire students to take an active role in their education. Furthermore, it will provide faculty members with fresh perspectives on teaching, enhancing their understanding of student experiences and needs.

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.

Utilising Generative AI in Assessment Design

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The integration of Generative AI into assessments in higher education has led to concerns over their validity among the teaching staff. Despite the many benefits of Generative AI, some fear that it will reduce the need for critical engagement that is key to deep and meaningful learning. Given the near impossibility for it to be out-designed, the best option available would be to design assessment tasks around it. Drawing on a number of case studies of top universities around the world, this seminar discusses strategies on how Gen AI can be implemented in assessment to a varying extent across different academic disciplines to foster student empowerment and engagement.