Title: Using agent-based adaptive learning environments for knowledge sharing management

Authors: Cecilia Estela Giuffra Palomino; Ricardo Azambuja Silveira; Marina Keiko Nakayama

Addresses: Engineering and Knowledge Management Post Graduation Program, Federal University of Santa Catarina, Brazil, Campus Reitor João David Ferreira Lima, Florianópolis, Santa Catarina, 88040-900, Brazil ' Computer Science Post Graduation Program, Federal University of Santa Catarina, Brazil, Campus Reitor João David Ferreira Lima, Florianópolis, Santa Catarina, 88040-900, Brazil ' Engineering and Knowledge Management Post Graduation Program, Federal University of Santa Catarina, Brazil Campus Reitor João David Ferreira Lima, Florianópolis, Santa Catarina, 88040-900, Brazil

Abstract: This paper describes how an intelligent or adaptive learning management systems (LMSs) based on multiagent systems is useful and effective for knowledge sharing engineering or management. A complete model of intelligent learning environment based on intelligent tutoring systems (ITSs) using software agents is described, and a prototype based on this model was designed and constructed using the Moodle LMS as a case study. The proposed adaptive model takes into account how the users use to access the subject matter resources and how much can be perceived that they succeed on activities proposed by the knowledge engineer. The agents interact with the users by sending messages to them, and manage the knowledge sharing by changing the resources and activities available by the knowledge engineer. Thus, the agents perform the actions previously defined by the knowledge engineer, in a personalised and adaptive way according to each user's personal way of learning.

Keywords: LMS; learning management systems; Moodle; ITS; intelligent tutoring systems; multi-agent systems; MAS; agent-based systems; adaptive learning; knowledge sharing; knowledge management; software agents; personalised learning; personalisation.

DOI: 10.1504/IJKL.2015.073475

International Journal of Knowledge and Learning, 2015 Vol.10 No.3, pp.278 - 295

Received: 12 Dec 2014
Accepted: 29 Jul 2015

Published online: 09 Dec 2015 *

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