Development of an assessment agent to promote the learning effectiveness in a computer supported collaborative learning environment

This paper presents a novel methodology for modeling collaborative learning as multi-issue agent negotiation using fuzzy constraints. Agent negotiation is an iterative process through which the proposed methodology can aggregate students´ marking to reduce personal bias. In the framework, students define individual fuzzy membership functions based on their evaluation concepts and agents stand for students to negotiate with each other in the assessment process. By applying the method, agents can reach a mutually acceptable agreement to overcome the subjective judgment and the unfair assessment. Thus, the negotiated agreement provides students a better quality of assessment and enables students to improve the learning effectiveness. An example application to negotiate the assessment among three students is provided to illustrate the assessment process of the proposed framework.