RT Conference Proceedings
T1 Key Action Extraction for Learning Analytics
A1 Scheffel, Maren
A1 Niemann, Katja
A1 Leony Arreaga, Derick Antonio
A1 Pardo Sánchez, Abelardo
A1 Schmitz, Hans-Christian
A1 Wolpers, Martin
A1 Delgado Kloos, Carlos
AB 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.
PB Springer
SN 978-3-642-33262-3 (print)
SN 978-3-642-33263-0 (online)
SN 1611-3349 (online)
SN 0302-9743 (print)
YR 2012
FD 2012
LK https://hdl.handle.net/10016/19138
UL https://hdl.handle.net/10016/19138
LA eng
NO 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.
NO Work partially funded by the European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement no 231396 (ROLE project), the Learn3 project (TIN2008-05163/TSI), the eMadrid project (S2009/TIC-1650), and the Acci´on Integrada DE2009-0051.
DS e-Archivo
RD 27 jul. 2024