FISCMAP: A fuzzy logic-based quality of concept mapping modelling approach fostering reflective feedback

This study introduces a new model, namely FISCMAP, that explores the fuzzy logic constructs within a computer-based concept mapping environment, involving modeling techniques as vehicles to improve the intelligence of an online learning environment. From this perspective, eight CmapTool measurements are considered to form inputs to a five-level fuzzy inference system equipped with 115 expert's fuzzy rules. The CmapTool data were drawn from a b-learning environment related to a Master's course offered by a Higher Education Institution, involving 20 Master's students. Experimental results have shown that the use of the proposed FISCMAP scheme for the evaluation of user's Quality of Concept Map (QoCM), by considering constructive CM variables (metrics), can increase the accuracy and validity of the intelligent system under consideration.