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OED 2023-2: Reimagining Teaching with Artificial Intelligence
Subtheme 2: AI + Teaching in Higher Education
June 14, 2023 @ 4:00 pm – 5:00 pm UTC+8
Time: Edinburgh (9am-10am); Beijing (4pm-5pm); Sydney (6pm-7pm)
Link for live stream (and playback, which will be accessible within 48 hours): https://www.xuetangx.com/live/live20230515m002intl/live20230515m002/16741468/34631590
The Online Education Dialogue as one of the flagship activities of the Global MOOC and Online Education Alliance (GMA), aims to promote the digital transformation of global higher education, share the latest developments in online education, and enhance the capacity building of people involved in higher education digitalization worldwide.
“Navigating the AI-Driven Digital Transformation of Higher Education” is the theme of the Online Education Dialogue 2023. Focusing on the trends and challenges of AI-enabled higher education, raising global awareness of the importance of AI in higher education, sharing positive practices of digital transformation of higher education driven by AI, based on building an online global learning community and promoting international cooperation of higher education institutions in exploring the building of a global community with a shared future.
Subtheme 2: “AI + Teaching in Higher Education”
This subtheme will explore how AI is transforming teaching methods and reshaping online education and MOOCs. It will also discuss the implications of AI for educators and teaching practices.
Reimagining Teaching with Artificial Intelligence
This session will discuss innovative AI-driven teaching methods and tools. Potential questions could include:
- What impact does AI have on the role of educators and teaching practices?
- What are effective strategies for integrating AI to enhance the quality and effectiveness of teaching and learning?
Online Education and MOOC in the Age of AI: Innovations and Implications
This discussion will explore the impact of AI on online education and MOOCs. Potential questions could include:
- How can AI reshape the landscape of higher education?
- What are the quality, accessibility, and sustainability implications of AI-driven online education and MOOCs?
Keynotes and panel discussion
Emeritus Professor of Educational Technology at The Open University, UK
Sharples gained a PhD from the Department of Artificial Intelligence, University of Edinburgh on Cognition, Computers and Creative Writing. His expertise involves human-centred design and evaluation of new technologies and environments for learning. He is an Associate Editor of the International Journal of Artificial Intelligence in Education. As Academic Lead for the FutureLearn company, he led the design of its social learning approach. He provides consultancy for institutions worldwide including UNESCO, UNICEF, universities and companies. He founded the Innovating Pedagogy report series and is the author of over 300 papers in the areas of educational technology, learning sciences, science education, human-centred design of personal technologies, artificial intelligence and cognitive science. His recent books are Practical Pedagogy: 40 New Ways to Teach and Learn and Story Machines: How Computers Have Become Creative Writers both published by Routledge, and An Introduction to Narrative Generators, published by Oxford University Press.
Associate Professor, Educational Innovation Team
Office of the Deputy Vice-Chancellor, University of Sydney
Danny is a molecular biologist by training, programmer by night, researcher and academic developer by day, and educator at heart. A multiple international and national teaching award winner, he works at the confluence of learning analytics, student engagement, educational technology, and professional development and leadership. He is an Associate Professor in the Deputy Vice-Chancellor (Education) Portfolio at the University of Sydney, where he leads staff across the institution in educational innovation, blended and online teaching, and the effective use of learning analytics and artificial intelligence to improve student learning and experience. He co-chairs the University’s AI in Education working group.
Executive Vice Dean of the Institute of Artificial Intelligence in Education and
Executive Vice Dean of the School of Information Technology in Education,
South China Normal University
Professor Hu also holds the position of Deputy Dean at the Guangdong Provincial Institute of Basic Education and Informatization. He also serves as the Secretary-General of the Teaching and Instruction Committee of the Ministry of Education’s Higher Education Technology Professional Teaching Steering Committee, Vice Chairman of the Information Technology Education Special Committee of the Chinese Society of Education, member of the Expert Group for the Research on Regulatory Policies for Extracurricular Training Institutions in China, expert for the Ministry of Education’s Industry-University Cooperation Collaborative Education Program and Virtual Teaching Research Room Construction Project, as well as an expert on the Expert Advisory Committee for Education Digitization in Guangdong Province, among other positions. His research focuses on theories and policies of educational informatization, educational artificial intelligence, and innovation in information technology teaching. He has led projects such as the National Social Science Fund of China project “Teacher Portraits and Applications in the Perspective of Artificial Intelligence,” the Ministry of Education’s Virtual Teaching Research Room for “Research on Intelligent Education Literacy of Teachers,” and the national-level online teacher education MOOC on “Applications of Artificial Intelligence in Education.” He has received over 10 national-level awards for basic education teaching achievements and provincial-level awards for educational research achievements and has published over 100 papers and books.
Associate Professor and Director of Teaching Affairs
Department of Computer Science and Technology, Tsinghua University
She primarily engages in fundamental algorithm research in the field of integrated circuit design automation, focusing on areas such as layout planning algorithms, three-dimensional chip planning and design, layout planning and design for microprocessor performance optimization, as well as planning and design for power and delay optimization. She conducted a one-year research visit at the University of California, Los Angeles, where she explored three-dimensional chip layout planning and microprocessor system layout planning, and actively participated in the development of the 3D-MEVA system. In recent years, she has achieved a series of research accomplishments in the domain of layout planning. She has published over 40 papers (including 9 SCI-indexed and 34 EI-indexed), encompassing renowned international academic journals such as IEEE Trans. on CAD, ACM Trans. on DAES, and ACM Journal on ETC, as well as over 10 papers published in top international conferences in the field of design automation (DAC, ISPD, ICCAD, etc.). She has received the Best Paper Award at the International Conference on ASIC 2001 and has been nominated for the Best Paper Award at ASPDAC 2010. With more than 60 published papers (including 14 SCI-indexed and over 50 EI-indexed), she has been repeatedly recognized as a finalist for the Best Paper Award at international conferences.
Moderator: Enoch Wong
Assistant Secretary-General, Global MOOC and Online Education Alliance;
Senior Advisor (Online Education & International Cooperation), Tsinghua University