Adaptive question recommendation system based onstudent achievement
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Abstract (EN)
In this thesis, the answers given to the questions under the topic and subject of each elementary and secondary school exams (test) and general trial exams of today's primary-secondary-high school students with the TOPSIS method to determine the level of success of the student by the authorized teacher to send the question to the student, The aim of the course is to analyze the weekly-monthly-yearly performance with graphical data and to create a data bank for each student and to share the performance with the teacher and the authorized teacher. In this study, developmental research technique, which is one of the design-based research method derivatives including the design of educational tools, was used. This study consists of question suggestion and question selection tool components. Adaptive question suggestion system; content, production, storage, classification, modification and publication functions. Developed application; It was tested successfully by 350 students and teachers on the created database by preparing 1000 questions related to the courses and subjects defined by the educator. In this application, it is seen that students check all the questions related to courses and subjects in the application database and send the most appropriate question to the requestor in response to the TOPSIS algorithm. It was observed that the TOPSIS algorithm quickly determined the desired number of questions in accordance with the desired criteria from the question bank formed by the authorized teacher and the process of creating the trial or subject test was performed successfully and the process of creating the trial or subject test was performed successfully.
Author
Yazbıbı Babanyyazova
Institution
How to Cite
Yazbıbı Babanyyazova (Master Thesis). Adaptive question recommendation system based onstudent achievement, 2019, Isparta University of Applied Sciences.
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