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Results From Action Analysis in an Interactive Learning Environment

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Scheuer, O., Mühlenbrock, M. & Melis, E. (2007). Results From Action Analysis in an Interactive Learning Environment. Journal of Interactive Learning Research, 18(2), 185-205. Chesapeake, VA: AACE.
Retrieved from http://www.editlib.org/p/22975.

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Journal Information

JILR

Journal of Interactive Learning Research
ISSN 1093-023X
Volume 18, Issue 2, April 2007
Association for the Advancement of Computing in Education (AACE)  Chesapeake, VA

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Table of Contents


Authors

Oliver Scheuer, German Research Center for Artificial Intelligence DFKI, Germany; Martin Mühlenbrock, European Patent Office, Netherlands; Erica Melis, German Research Center for Artificial Intelligence DFKI, Germany

Abstract

Recently, there is a growing interest in the automatic analysis of learner activity in web-based learning environments. The approach and system SIAM (System for Interaction Analysis by Machine learning) presented in this article aims at helping to establish a basis for the automatic analysis of interaction data by developing a data logging and analysis system based on a standard database server and standard machine learning techniques. The contribution is the integration of components which are appropriate for large amount of data. The analysis system has been connected to the web-based interactive learning environment for mathematics, ActiveMath, but is designed to allow for interfacing to other web-based learning environments, too. The results of several usages of this action analysis tool are presented and discussed. They indicate potentials for further development and usages.

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