Idea and Implementation: Interpersonal Influence Relieved University Teaching Evaluation

We modeled the interpersonal influence process by cooperative game. The model implied that reducing interpersonal contact is an important way to improve current evaluating effect. In the same time, the application of university information systems provides the possibility to collect quantitative data without interpersonal contact. Then the architecture of evaluating system was proposed and implemented that made use of ontology and multi-agent to denote evaluating demands and collect quantitative data. It relieves the interpersonal influence by the dynamic matching between teaching evaluation and university information systems that enable the automatic quantitative data collecting.