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On the emergence of typical behaviours in LMS

: An, Truong-Sinh; Krauss, Christopher; Merceron, Agathe

Volltext urn:nbn:de:0011-n-5376097 (344 KByte PDF)
MD5 Fingerprint: 72669c988fe007b18c8641f7abe21f4d
Erstellt am: 20.3.2019

Schiffner, D. ; Gesellschaft für Informatik -GI-, Bonn:
Pre-Conference-Workshops der 16. E-Learning Fachtagung Informatik 2018. Proceedings. Online resource : Co-located with 16th e-Learning Conference of the German Computer Society (DeLFI 2018), Frankfurt, Germany, September 10, 2018
Frankfurt, 2018 (CEUR Workshop Proceedings 2250)
Paper 6, 10 S.
E-Learning Fachtagung Informatik (DeLFI) <16, 2018, Frankfurt>
Workshop VR/AR-Learning <2018, Frankfurt>
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
Smart Learning - Medieneinsatz in der Online Weiterbildung
Konferenzbeitrag, Elektronische Publikation
Fraunhofer FOKUS ()
Learning Management Systems (LMS); Online Course; typical behaviour; clustering

The emergence of Massive Open Online Courses (MOOCs) has enabled new research to analyze typical behaviours of learners. Inspired by this research, we characterize individual learning behaviours, taking into account specificities of the LMS we use. We then apply clustering techniques to uncover typical behaviours in university courses. In this contribution, we consider a classical face-to-face course on Advanced Web Technologies (AWT) delivered in a Master degree. This course has been offered in the winter semesters 2016/17 and 2017/18. Three typical behaviours appear in each course, reminiscent of those found by other researchers in MOOCs. Aggregating the data week by week, we investigate when these typical behaviours emerge. It turns out that they emerge only shortly before the exam for the two instances of the AWT course. We discuss implications of these findings.