A Multiagent System to Support Problem-Based Learning

Laysa Mabel de O. Fontes, Francisco Milton Mendes Neto, Alexandre A. A. Pontes

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DOI: 10.4236/ce.2011.25065                

Abstract

The problem-based learning (PBL) is a learning theory that emphasizes collaboration and teamwork to solve a problem. However, a problem that occurs frequently in the implementation of PBL is the out-of-context conversation, which is a situation in which the students lose focus and start talking about topics that are not related to the discussion. Another important aspect is related to the formation of groups in PBL. It might be difficult for the facilitator to assign students to groups at a distance, since the lack of presential contact makes it difficult to perceive important characteristics of the students’ profiles involved in the process. Thus, this paper presents a Multiagent system to support PBL, with the objective of detecting and correcting problems inherent in the implementation of this learning theory.

Keywords

Problem-Based Learning, Multiagent System, Agents

Conflicts of Interest

The authors declare no conflicts of interest.

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