Modélisation des attitudes cognitives et affectives chez l’individu en situation d’apprentissage coopératif sur le Web

Abstract

In the field of Information and Communication Technologies (ICT), the cooperative learning holds an increasingly important place. With the development of the web technology, the learner benefits from knowledge constantly updated. This last can decide his learning path. The trainer reappears at the other side of the chain in a role of regulator. From now, the interest Focus is the learner himself, or the user modeling in an interactive situation with the machine is a very difficult and a very open research topic. The subject aims to implement an agent based tool for dynamic modeling of the learner‟s cognitive and affective attitudes in cooperative learning situation. It allows observing and experimenting in a visual and interactive way the evolution of the learner interactions with a group of learners in a cooperative situation with one or more trainers. The training will be conceived like a search path of knowledge by individuals in interaction and sometimes like a collective resolution of the problem. The individuals will be formalized in connection with the objects. They will be defined by an identity, a role, intentional attitudes (to want, to can, to know, to believe, to have to), emotional attitudes (pleasure, self-confidence, trust each other, benevolence) and situational variables (Type of trainer, ideological compatibility, motivation, etc.). The learning path will be defined by a scenario. Its unfolding will be controlled by successive acts or statements of the trainer. Each learner will react depending on his current modal state. At the end of the learning path, the assessment of each learner will determine his learning behavior (correct, revolted, resigned, overflowing, unspecified, etc.). The trainer status will be also modified by its own performance and it will be therefore different from its arrival from.