Publication: Key Action Extraction for Learning Analytics
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Identifiers
ISSN: 1611-3349 (online)
ISSN: 0302-9743 (print)
ISBN: 978-3-642-33262-3 (print)
ISBN: 978-3-642-33263-0 (online)
UXXI: CC/0000017892
Publication date
2012
Defense date
Advisors
Tutors
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Publisher
Springer
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Abstract
Analogous to keywords describing the important and relevant content of a document we extract key actions from learners' usage data assuming that they represent important and relevant parts of their learning behaviour. These key actions enable the teachers to better understand the dynamics in their classes and the problems that occur while learning. Based on these insights, teachers can intervene directly as well as improve the quality of their learning material and learning design. We test our approach on usage data collected in a large introductory C programming course at a university and discuss the results based on the feedback of the teachers.
Description
Proceedings of: 7th European Conference on Technology Enhanced Learning (EC-TEL 2012): 21st Century Learning for 21st Century Skills. Saarbrücken, Germany, September 18-21, 2012.
Keywords
Usage data, Learning analytics, Self-regulated learning, activity patterns
Bibliographic citation
Ravenscroft, A. et al. (eds.) (2012). 21st Century Learning for 21st Century Skills: 7th European Conference of Technology Enhanced Learning, EC-TEL 2012, Saarbrücken, Germany, September 18-21, 2012. Proceedings. (Lecture Notes in Computer Science, 7563). Springer, 320-333.