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Metodology for Better Online Learning Efficiency in Blended Learning System By Means of Mamdani Fuzzy Logic

Nevzudin Buzadjija1 and Dragi Tiro2
1. MSTS Travnik, Travnik, Bosnia and Herzegovina
2. Faculty of Information Technologies, Mostar, Bosnia and Herzegovina
Abstract—There is the specific situation in secondary schools regarding students' understanding of the importance of acquired knowledge which they need for the continuation of their education. Therefore, nowadays it is necessary to introduce innovative forms of knowledge acquiring such as blended learning. The intention is to build an adequate model using Mamdani Fuzzy Logic in terms of better motivation of students with higher and lower metacognitive skills for the online part of teaching. The aim of applied Mamdani Fuzzy Logic method is to determine the best ratio of number of logins on the LMS system, test results and time spent on the LMS system that would give the best results at the final testing. The achieved results show that the applied method effectively determines the best ratio of these three variables in order to achieve the best results at the final testing of different groups of students according to metacognitive skills.

Index Terms—mamdani fuzzy logic, number of logins, test results, time spent on the LMS system, online course efficiency.


Cite: Nevzudin Buzadjija and Dragi Tiro, "Metodology for Better Online Learning Efficiency in Blended Learning System By Means of Mamdani Fuzzy Logic," Jounal of Automation and Control Engineering, Vol. 1, No. 4, pp. 321-325, Dec., 2013. doi: 10.12720/joace.1.4.321-325
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