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Adaptativity Supported by Neural Networks in Web-based Educational Systems (2008)

Abstract
Effective evaluation and curriculum sequencing are complex activities in distance learning systems. These activities are closely related since a curriculum sequence should take student performance into account. In curriculum sequencing many features should be considered such as student preferences and abilities, relationship among the concepts, previous knowledge, and learning goals. A successful system take these features into account and should be able to dynamically change a curriculum sequence when values associated to those features change during the learning process. In this paper we describe a multiagent system that achieves this adaptivity by the use of a neural network.

Publication details
Download http://www.scholarlyexchange.org/ojs/index.php/JEIC/article/view/3412
Publisher International Institute of Informatics and Cybernetics (IIIC)
Repository Gestión de Recursos de Información en las Organizaciones (United States)
Type Peer-reviewed Article
Language English