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Fuzzy inference system model for evaluating computer-Supported Collaborative Learning (CSCL) system

This paper discusses the concept of Computer Supported Collaborative Learning and the possibility of applying fuzzy logic concept in modeling a system to evaluate level of collaboration in a CSCL system. We discuss the concept of Crisp set as a background of fuzzy logic and how the concept can be applied in calibrating CSCL process towards evaluation of collaboration within the system. Literature was reviewed and Cesar et al research work was used as a reference work. The data provided by Cesar et al as input of our modeled Fuzzy Inference System (FIS). The output of the FIS was statistically compared with that of Cesar et al conclusion was made based on the result of our statistical analysis.