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Using learning analytics with Jupyter as a means to inform learning design

Guest Speaker: Dr Vincent Ng, Associate Professor, Department of Computing, The Hong Kong Polytechnic University

Organizer: Dr. Paula Hodgson, Centre for Learning Enhancement and Research

Details: Learning Analytics uses learner data to understand and optimize learning. In a technology-enhanced learning environment that hosts course content or discussion forums, you can identify patterns of learning behaviours and adjust your instructional strategies according to the results of statistical, qualitative analyses and text analysis.

In this seminar, Dr Vincent Ng will introduce some basic features of Jupyter Notebook and how to use this widely used open source web application to work with data files to perform student data analysis in platforms such as Blackboard and Open edX. A sample dataset will be used to illustrate a variety of data visualization functions and machine learning techniques for exploring student learning behaviors to improve the impact of the learning process.

Biography: Dr. Vincent Ng is an outstanding dedicated teacher, achieving The President’s Award for Outstanding Performance /Achievement of PolyU in 1999, 2008 and 2013 as well as many awards on team or consultancy projects. Apart from teaching and research, Dr. Ng is also active in external activities, consultancy work and professional services. He collaborates with NGOs in IT training, system development, web site designs and constructions, and advisory services. He has been working with many government departments in the HKSAR, including the Social Welfare Department, the Immigration Department, the Employment and Manpower Bureau, and the Civil Service Training and Development Institute. His research interests include social media analysis, data mining and health informatics.

Date & Time: 13 April 2018 (Friday) 12:15 – 2 p.m. (Brown bag lunch provided)

Venue: LT 8, 3/F Cheng Yu Tung Building
(Campus Map)

Registration:

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