Learning analytics: Predicting student performance with regression analysis (in R and SPSS)

Facilitators: Dennis Foung (ELC), Hilary Ng (EDC)
Date: 16 Oct 2018
Time: 12:30 PM - 2:00 PM
Venue: TU411

Predicting student performance has been a major area of interest in learning analytics. This workshop covers different types of regression analyses to explore how at-risk students can be identified and how students’ performance can be predicted. This session aims to help colleagues to understand the basics of regression. To ensure you get the most from the workshop, you are expected to (1) bring your laptop to the session; (2) install R and R studio; and (3) try to access SPSS before attending the session. More information and download links will be sent to registered participants later. Come and join us to have a taste of learning analytics!

This activity is jointly organised by the CoP on Conducting Learning Analytics to Inform Teaching and Learning and EDC.

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