An Architecture for e-Learning System with Computational Intelligence

Authors:
Marc Alami;Nicolas Casel;Denis Zampunieris
Affiliations:
CICeL, Faculty of Sciences, Technology & Communication, University of Luxembourg, 6 rue Richard Coudenhove-Kalergi, L-1359 Luxembourg-Kirchberg, Grand-Duchy of, Luxembourg;CICeL, Faculty of Sciences, Technology & Communication, University of Luxembourg, 6 rue Richard Coudenhove-Kalergi, L-1359 Luxembourg-Kirchberg, Grand-Duchy of, Luxembourg;CICeL, Faculty of Sciences, Technology & Communication, University of Luxembourg, 6 rue Richard Coudenhove-Kalergi, L-1359 Luxembourg-Kirchberg, Grand-Duchy of, Luxembourg
Venue:
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Year:
2007

Citing 2
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Proactive computing

Communications of the ACM
Six modes of proactive resource management: a user-centric typology for proactive behaviors

Proceedings of the third Nordic conference on Human-computer interaction

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Abstract

In this paper, we introduce a new kind of software tools intended to offer a virtual educational and/or training environment online: proactive e-Learning Management Systems.These computational intelligence based systems are designed to improve the users' online (inter)actions by providing programmable, automatic and continuous intelligent analyses of the users' behaviors, augmented with appropriate actions initiated by the LMS itself.We show how we implemented the proactive part of our LMS on the basis of a dynamic rules-based expert system. We also sketch how it looks like from a user's point of view. Finally, We give some examples of intelligent analysis of users' behaviors coded into proactive rules.