Ubiquitous Multi-Agent Context-Aware System for Enhancing Teaching-Learning Processes Adapted to Student Profile

Ubiquitous Multi-Agent Context-Aware System for Enhancing Teaching-Learning Processes Adapted to Student Profile

Demetrio Ovalle (Universidad Nacional de Colombia – Campus Medellín, Colombia), Oscar Salazar (Universidad Nacional de Colombia – Campus Medellín, Colombia) and Néstor Duque (Universidad Nacional de Colombia – Campus Manizales, Colombia)
DOI: 10.4018/978-1-4666-4542-4.ch013
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Abstract

The need for ubiquitous systems that allow access to computer systems from anywhere at anytime and the massive use of the Internet has prompted the creation of e-learning systems that can be accessed from mobile smart phones, PDA, or tablets, taking advantage of the current growth of mobile technologies. The aim of this chapter is to present the advantages brought by the integration of ubiquitous computing-oriented along with distributed artificial intelligence techniques in order to build student-centered context-aware learning systems. Based on this model, the authors propose a multi-agent context-aware u-learning system that offers several functionalities such as context-aware learning planning, personalized course evaluation, selection of learning objects according to student’s profile, search of learning objects in repository federations, search of thematic learning assistants, and access of current context-aware collaborative learning activities involved. Finally, the authors present some solutions considering the functionalities that a u-learning multi-agent context-aware system should exhibit.
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Background

This section first provides main definitions about learning planning, adaptive evaluation, multi-agent systems, learning objects, context-aware systems, computer supported collaborative learning, among others. Then, a literature review through related works is presented to demonstrate the relevance on trends on ubiquitous, context-aware, adaptive, and intelligent e-learning system development.

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