Title: Using log files from streaming media servers for optimising the learning sequence

Authors: Jelle De Boer

Addresses: Hanze University of Applied Sciences, 9701 DA Groningen, The Netherlands

Abstract: The experiment described in this paper is part of a research project that investigates the possibilities to make learning management systems more adaptive at run-time, based on log files from streaming media servers. In an earlier experiment we defined four viewing scenarios based on anonymous entries in log files from streaming media servers. In this experiment, we investigated whether these log files can tell something about the individual learning processes of students. Students had to perform a learning task from a teacher. Some parts of this learning task required that students watched instruction videos. Clustering the viewing scenarios of a student for the learning task gives a digital trail of the learning process of a student. These trails can be utilised to design learning management systems that are more adaptive at run-time. Moreover, improved learning tasks and improved instruction videos can be designed utilising the information deduced from log files.

Keywords: e-learning; electronic learning; online learning; streaming video; personalisation; log files; learning styles; viewing scenarios; convergence; learning management systems.

DOI: 10.1504/IJCEELL.2010.031647

International Journal of Continuing Engineering Education and Life-Long Learning, 2010 Vol.20 No.1, pp.40 - 53

Published online: 16 Feb 2010 *

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