Learning Analytics for MOOC and Flipped Courses2016-06-27T17:42:13+08:00

Ting-Chuen Pong, Hong Kong University of Science and Technology, Hong Kong

Education has gone through some transformative changes since the launching of Massive Open Online Courses (MOOCs) in 2012. The impacts of MOOCs go beyond just the offering of courses and content. MOOC platforms allow vast amount of data to be collected on the study patterns of diverse groups of students from around the world. Learning analytics on MOOCs allow teachers to better understand how students learn and how the delivery of teaching and learning can be improved. In the presentation, I will share HKUST’s experience on using learning analytics to enhance the learning experience of students in MOOCs and flipped courses on campus.

Learning Analytics MOOC-Flipped

 

Professor Ting-Chuen Pong is a Senior Advisor to the Executive Vice-President & Provost, Director of the Center for Engineering Education Innovation and Professor of Computer Science & Engineering at the Hong Kong University of Science & Technology (HKUST). He is a founding faculty member of HKUST, where he had served as the Associate Vice-President for Academic Affairs, Associate Dean of Engineering and Director of the Sino Software Research Institute. He also served as an Academic Research Adviser for the Hong Kong University Grants Committee (UGC) from 2010 to 2012.  Before joining HKUST, he was an Associate Professor of Computer Science at the University of Minnesota in the US. He received his PhD in Computer Science from Virginia Polytechnic Institute and State University in 1984.

Professor Pong’s research interests include computer vision, multimedia computing and IT in Education. He is a recipient of the Pattern Recognition Society Award in 1990 and the HKUST Excellence in Teaching Innovation Award in 2001. In 2014, his team was selected Winner of the Natural Sciences Award and Runner-up of the Hybrid Learning Award in the Wharton-QS Stars Awards Global Competition.