Propose of Fuzzy Logic-Based Students' Learning Assessment

This paper proposes the students' learning assessment by using fuzzy logic. The framework of practical learning system for computer discipline is also presented to explain a conceptual design of an intelligent tutorial system. The proposed framework composes of six components including interface module, domain knowledge, inference engine, student module, mentor module and pedagogical module. The inference engine performed students' group classification form on-line pre-test examination before starting the practical worksheet application. Two input parameters consisting of percentage of score and time were established as inputs for membership functions of fuzzy logic system. The twenty-five fuzzy rules were created for the proposed method by experts. The defuzzification of output membership functions, including good, fair and improve were performed by using the centroid method. In this paper, 26 students were tested in order to compare the students' learning performance, assessed by fuzzy logic and t-score method. The results revealed that the proposed method was a flexible process to classify students' learning group based on the objectives of subject and the real time performance comparing with t-score method.