Title:	STUDENT-CENTERED MULTI-AGENT MODEL FOR ADAPTIVE VIRTUAL COURSES DEVELOPMENT AND LEARNING OBJECT SELECTION
Author(s):	Demetrio Arturo Ovalle, Francisco Javier Arias, Julian Moreno
ISBN:	978-989-8533-04-3
Editors:	Demetrios G Sampson, J. Michael Spector, Dirk Ifenthaler and Pedro Isaías
Year:	2011
Edition:	Single
Keywords:	Student-centered learning, adaptive virtual university courses, learning styles, learning objects selection, pedagogical multi-agent systems, artificial in
Type:	Full Paper
First Page:	123
Last Page:	130
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	In recent decades, the use of artificial intelligence (AI) techniques has been efficiently employed not only for problem solving but also for modeling, simulation, and development of complex systems. The construction of virtual university courses is complex since such computational systems must adapt their behavior to the student’s characteristics in a customized way. Thus, the aim of this paper is to propose student-centered virtual courses design and construction with adaptive features, through the integration of AI techniques involving multi-agent systems and AI planning. It should be noted that the virtual courses adaptation has been performed with an emphasis on both instructional planning and student-centered intelligent selection of learning objects. The validation of the AI-based student-centered learning model was made through the construction of an experimental computational platform called CIA (Spanish acronym for Adaptive Intelligent Virtual Courses), which carries out learning planning and individual LO selection in an intelligent way, taking into account the students’ knowledge level, as well as their learning styles, and their most used brain hemisphere.
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