Web Based Intelligent Tutoring System for Collaborative Learning

초록

This study suggests the design and implementation of ITS study by knowledge level for distance collaborative learning in a Web situation including the diagnostic agent examining the group agent and the students involved in the program. The students involved in this learning need to have a situation wherein many are simultaneously interested in the same subject and the same type of lesson. The similarity of their knowledge and ability level enhances the effectiveness of lessons on the same subject. The diagnostic agent examines the students and the results of the examination are added to the knowledge of the group agent thereby the group agent may be able to recruit the students based on their personal characteristics and requirements. The teacher module is composed of a tutoring module and an expert module as in the basic ITS structure. Dynamic resource scheduling that uses time as a resource has been used to make a model of the students based on their requirements, knowledge level and availability of time for learning, all of which are considered important in recruiting the students for collaborative learning.