Towards a fuzzy multiagent tutoring system for M-learners' emotion regulation

Abstract

An intelligent Tutoring System (ITS) is a computer-based instructional system, involving intelligent algorithms and strategies, which brings a remarkable progress in the learning processes when the internet is “always on”. In fact, ITS makes inferences about a student's proficiency level in order to dynamically adapt the learning content or the tutoring style. Around the same time, emotions, whether positive or negative, affect the learning process. Accordingly, the regulation of learners' negative emotional state, is an imperious factor in learning, in order to optimize learners' performances and to improve learning productivity during an ITS episode. Firstly, this paper presents a systematic literature review (SLR) on strategies for regulating the emotional state of learners in the point of view of (a) emotion recognition, (b) emotion modelling, (c) emotion recognition theories, and (d) emotion recognition approaches and methods. Secondly, the paper proposes a new intelligent method, and presents its architecture as a Fuzzy Emotional Regulation for ITS distributed under the Multiagent Approach. This architecture will be used to generate an Emotionally Intelligent Tutoring Sys-tem (EITS) allowing learner to achieve his educational purpose adaptively, anywhere and at any time.