Intuitionistic fuzzy logic-based approach of intrinsic motivation in CSCL settings during illusionary sense of control

We examine if the provision of illusionary sense of control that resides in the collaborators is perceived as actual control and cause intrinsic motivation towards better work within a Computer Supported Collaborative Learning (CSCL) environment. On the basis of expert knowledge, indicators are set to support intelligent decision making upon the quality of the collaboration. The fuzzy logic translates knowledge from the qualitative to the quantitative plane. It supports a model of indicators on the basis of the expert knowledge that is expressed through linguistic descriptions. However, the qualitative nature of such decisions, entail some uncertainty and hesitancy during the modeling procedure of the specific knowledge. The Intuitionistic Fuzzy Logic (IFL) enables the capture and expression of this uncertainty and hesitancy while modeling the decision making upon the quality of the collaboration, thus it extends the fuzzy logic possibilities. The efficiency of an IFL-based approach is explored through a case-study targeting the increase in the quality of the collaborative performance. The approach leads to a more minimal design of the supporting mechanisms in CSCL settings.