Learning analytics for feedback at scale
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The document outlines a program for a conference on learning analytics, featuring various speakers who discuss topics such as feedback in education, learning from analytics, and the automation of feedback. Key presentations include insights into scaling personalized feedback and bridging educational research with practice. The event includes a mix of talks and interactive sessions designed to improve learning through the analysis of learner data.
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Learning analytics for feedback at scale
- 3. “Learning analytics is about collecting traces that learners leave behind and using those traces to improve learning.” - Erik Duval 3 Duval, E., & Verbert, K. (2012). Learning analytics. E-Learning and Education, 1(8). LEARNING ANALYTICS FOR FEEDBACK AT SCALEintro
- 4. Speakers Carlos Delgado Kloos Universidad Carlos III de Madrid Ed Foster Nottingham Trent University Monique Snoeck KU Leuven Yi-Shan Tsai University of Edinburgh Jan Elen KU Leuven Katrien Verbert KU Leuven Frederik Cornillie KU Leuven Tinne De Laet KU Leuven
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- 6. Program 12:50 – 13:00: Welcome by Katrien Verbert 13:00 – 13:30: Closing the Loop in Education – Carlos Delgado Kloos 13:30 – 14:00: Learning from Learning Analytics: risky assumptions about the efficacy of feedback for learners – Ed Foster 14:00 – 14:30: Feedback automation for complex learning tasks – Monique Snoeck 14:30 – 15:00: Scaling personalized feedback – Yi-Shan Tsai 15:00 – 15:30: Break and poster and demo session 15:30 – 16:00: Learning analytics and feedback: not only for students – Jan Elen 16:00 – 16:30: Interactive recommender systems and dashboards for learning – Katrien Verbert 16:30 – 17:00: Bridging the gap between educational research and practice with learning analytics: insights from studies in primary and secondary education – Frederik Cornillie 17:00 – 17:30: Learning Dashboards for feedback at scale – Tinne De Laet 17:30 – 17:40: Closing Tinne De Laet