HKUST x EdUHK Joint Conference on AI and Education - Leveraging AI For Change in Education
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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. As AI technologies continue to advance at an unprecedented rate, it’s crucial for educational approaches and research to keep pace. This means not only integrating AI into current pedagogical frameworks but also evolving our research methodologies to understand and leverage AI’s impact on learning outcomes, assessment tools, curriculum development, and students’ well-being. This conference aims to facilitate interdisciplinary discussions by uniting educators, researchers, policymakers, and technologists to explore key themes such as Personalized Learning, Assessment and Feedback, Learning/Predictive Analytics, Human-AI Collaboration, Ethical Issues, and AI Literacy.
Understanding the symbiotic relationship between AI and humans and how that impacts teaching and learning is not just an academic exercise; it’s a necessity that has direct implications for the future of work, education, and societal well-being. As we navigate the complexities of the AI era, this conference aims to foster a community committed to exploring and sharing evidence-based, ethically sound, and accessible AI-driven educational strategies. Our goal is to help attendees become informed about the dynamic implications AI will have on education so they can adapt to changing educational needs. To support this, we’ve invited international experts in AI and education who will share evidence-based strategies and insights, enriching the conference’s scope and enhancing its relevance to global educational trends. We invite you to join us in this important dialogue to shape the future of education in an AI-driven world.
Rosemary (Rose) Luckin is a Professor at University College London renowned for her research into the design and evaluation of educational technology, particularly Artificial Intelligence (AI). She was named one of the 20 most influential people in education in the Seldon List in 2017, the only non-US winner of the ISTE Impact Award, and one of Computer Weekly’s top 50 most influential women in technology for 2023. Rose regularly provides expert evidence to policymakers like the UK Parliament's House of Lords and House of Commons select committees and the European Commission.
Rose has published widely in academic journals, at international conferences, through books, and in news media (TV, radio, newspapers, and magazines). Her 2018 book, Machine Learning and Human Intelligence: The Future of Education for the 21st Century, has been translated into Mandarin and influenced many of China's leading AI companies. Her most recent book, AI for School Teachers (2022), is an essential and accessible guide to AI for anyone in education.
Rose also founded EDUCATE Ventures Research Ltd., a London hub for educational technology startups, researchers, and educators engaged in evidence-based edtech and leveraging data and AI to benefit education.
Rose has taught in secondary, further, and higher education. She has led many large interdisciplinary international research projects and held senior leadership roles in higher education, including as Pro Vice Chancellor for Teaching and Learning at the University of Sussex before joining UCL in 2006. She is President of the Self-Managed Learning College in Brighton and host of the EdTech podcast.
Prof. Aimin Zhou is currently the dean of the School of Computer Science and Technology, and the dean of the Shanghai Institute of AI for Education, East China Normal University, China. His research interests include machine learning and intelligent education. He has authored over 80 peer-reviewed papers, which have been cited more than 8500 times on Google Scholar. He has been awarded the Highly Cited Chinese Researchers by Elsevier from 2020 to 2022. Prof. Zhou is an Associate Editor of Swarm and Evolutionary Computation and Chinese Journal of Electronics, and an Editorial Board Member of Complex & Intelligent Systems.
Maarten de Laat is professor of Augmented and Networked Learning and co-director at the Centre for Change and Complexity in Learning (C3L), University of South Australia. His research focuses on learning and value creation in social networks. He uses practice-based research methodologies to study the impact technology, AI, learning analytics and social design has on the way social networks and communities work, learn and innovate. Maarten is co-chair of the international Networked Learning Conference and editor of the Springer book series on Research in Networked Learning.
Jason Lodge, PhD is Associate Professor of Educational Psychology and Director of the Learning, Instruction, and Technology Lab in the School of Education and is a Deputy Associate Dean (Academic) in the Faculty of Humanities and Social Sciences at The University of Queensland. Jason’s research with his lab focuses on the cognitive, metacognitive, and emotional mechanisms of learning, primarily in post-secondary settings and in digital learning environments.