Artificial Intelligence for Learning and Teaching: Why Bother? And Where to Start? (Re-run)

Date :

2021-01-19 (Tuesday)

Time :

15:00 - 16:00

Venue :

Online - Panopto


1 hour

(1-hr Webinar)

Medium of Instruction :

Cantonese with English Materials

Category :

Digital Learning and Teaching

Level :


Mode of Study :


About the Event :

Flipped classroom, hybrid flexible teaching and other blended learning approaches have been more frequently adopted in the higher education field due to the more convenient access to online videos and other digital learning resources. However, designing a blended learning experience for learning and teaching (L&T) can be challenging. For example, teachers have to provide adequate and relevant feedback to students during and beyond classrooms. However, providing meaningful and prompt feedback requires teachers' time and attention to their students. Artificial Intelligence (AI) is the fastest growing advanced technology category in various fields. In particular, AI adoption spans the global learning landscape and has been used in language, testing knowledge, experiential and tutoring. These systems can provide 24/7 support to teachers and multiple learners at the same time, with personalised support and guide them in an engaging way throughout the virtual learning environment. Creating an AI tool from scratch requires complex computer programming skills but there are more and more AI-facilitated tools for learning and teaching.

Facilitator(s) :

Dr. Leon Lei and Ms. Sharon Keung, Technology-Enriched Learning Initiative (TELI), The University of Hong Kong

Dr. Leon Lei

Leon is an E-learning Technologist in the Technology-Enriched Learning Initiative (TELI), HKU. He plans, develops, evaluates and revises e-learning contents and solutions to scale up students' learning in the University, with using learning science principles and learning data for decision making. He also provides training for university teachers and staffs to support autonomous design and development of e-Learning solutions. His current research interests include learning analytics, open licensing for teaching and learning, MOOC and smart learning environment. He is now a Senior Member of Institute of Electrical and Electronics Engineers (IEEE) and the current Chair of IEEE Hong Kong Section Education Chapter. He is also a Senior Fellow of Advance HE.

Ms. Sharon Keung

Sharon has worked in project management, communications and research roles in non-profit and higher education industries in Hong Kong. She had previously worked on a Quality Education Fund (QEF) research project on Information Technology in Education in Hong Kong consolidating the e-Learning experiences from 100+ school principals, teachers and students. Currently, she is an Instructional Design Assistant in the Technology-Enriched Learning Initiative (TELI), HKU. She is also an Associate Fellow of Advance HE.

Objectives :

This webinar aims to discuss the potential and affordances of AI in education with some examples of AI tools for classroom engagement and assessment. Participants can reflect on better practices and design considerations in AI-facilitated learning and teaching.

Target Audience :

All VTC Teaching and Instructing Staff

Enquiry :

Ms CHENG Winnie Annie
Project Officer
Tel: 2836-1808  

Resources :