Cross-System validation of engagement prediction from log files

Mihaela Cocea, S. Weibelzahl

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review


Engagement is an important aspect of effective learning. Time spent using an e-Learning system is not quality time if the learner is not engaged. Tracking the student disengagement would give the possibility to intervene for motivating the learner at appropriate time. In previous research we showed the possibility to predict engagement from log files using a web-based e-Learning system. In this paper we present the results obtained from another web-based system and compare them to the previous ones. The similarity of results across systems demonstrates that our approach is system-independent and that engagement can be elicited from basic information logged by most e-Learning systems: number of pages read, time spent reading pages, number of tests/quizzes and time spent on test/quizzes.
Original languageEnglish
Title of host publicationCreating new learning experiences on a global scale: second European conference on technology enhanced learning, EC-TEL 2007, Crete, Greece, September 17-20, 2007, proceedings
EditorsE. Duval, R. Klamma, M. Wolpers
Number of pages12
ISBN (Print)9783540751946
Publication statusPublished - 2007
EventEC-TEL -
Duration: 1 Jan 2007 → …

Publication series

NameLecture notes in computer science


Period1/01/07 → …


Dive into the research topics of 'Cross-System validation of engagement prediction from log files'. Together they form a unique fingerprint.

Cite this