A Confident Agent: Toward More Effective Intelligent Distance Learning Environments

In this paper, we propose a multi-agent approach to building more Cooperative Intelligent Distance Learning Environments (CIDLE). We define a Confidence Agent in Intelligent Tutoring System (ITS) in such a way that an ITS would improve the quality and efficiency of its teaching. To achieve this goal, we propose a Confidence Intelligent Tutoring System (CITS) to manage negotiations within a community of on-line learners to improve CIDLE interactions among the participants. The proposed system can extract knowledge about domain knowledge and about learners behavior during a learning discussion. Therefore, it infers the behavior of learners, and adapts presentation of subject mater in order to improve their success rate in answering questions and boost their self-confidence during learning session. In addition, we discuss architectural problems of the CITS and their solutions..