Comparison of teaching models using expert system and fuzzy logic based methods
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Abstract (EN)
In meeting the today's information and learning needs, traditional education methods are inadequate. The philosopher Heraclitus who lived in Ephesus between 535-475 BC said "The only thing that does not change is the change itself". Parallel to the developments in information technology, many applications are being developed in which intelligent teaching systems are used in education. Since intelligent teaching systems are student-centered, they allow the student to be evaluated individually. In this study, a software was developed that can be used at all stages of education from primary education to higher education, based on the idea that the sufficiency and learning level of each student are different. In this software, the learning processes of each student are evaluated individually by using Expert system and Fuzzy Logic techniques from artificial intelligence methods separately. Problematic issues that students are inadequate are determined and it is aimed to provide support education for students in these subjects. In this system, there are teacher, student and class modules. A database was created in the system. This database contains students, lectures to be given, lecture topics, course videos and evaluation exams measuring the students' comprehending levels on the related subjects. The developed Expert System software and fuzzy logic method were tested separately to evaluate the success status of the students. It is determined how much the course support will be given in which subjects. Course support is provided by the course videos in the database. The system is able to produce different suggestions for each student in the direction of their personal abilities and learning levels. The recommendations of both algorithms were compared in terms of the total time to be spent on support education. In the conducted experiments, the Fuzzy Logic method has suggested a fulfilment education with approximately 9% less time. In this system, special education can be provided according to the individual level of the student, the time assigned for each student increases and the costs of education and training decrease. The role of the teacher has been moved to the role of course manager guiding the class according to the information needs of the student, rather than repeating the course.
Author
Hasan Kuzu
Institution
How to Cite
Hasan Kuzu (Master Thesis). Comparison of teaching models using expert system and fuzzy logic based methods, 2018, İskenderun Technical University.
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