Motivation, Learning Behaviour and Peer Networks in Blended Learning Programme in Data Science for non-STEM Students
Senior Lecturer, Ilya Musabirov
Lecturer in Data Science in Higher School of Economics (HSE), Saint Petersburg, Russia
When: 13:15-14;30, 24 September, 2018
Place: SLATE, Vektergården, Christiesgate 13, 3 etg.
All are welcome!
This presentation summarises current results of our three-year effort on analysing academic motivation, learning behaviour and peer networks in a two-year blended minor specialisation on Data Science in the HSE University St. Petersburg. First, I take higher-level view talking about non-STEM majors choosing minor programmes in HSE based on the Expectancy-Value framework. Second, I discuss our study on the connection between the structure of academic motivation, digital footprints of learning behaviour in the blended environment and academic achievement. Last, I focus on the first results of our peer networks study, talking about networks of friendship, advice and code-exchange and their connection with academic achievement.
Ilya Musabirov’s research interests include Computational Social Science, Learning Analytics, Human-Computer Interaction, Social Computing, and Web Science. Learn more about his research and teaching activity.
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