Adaptive Question Recommendation System Based on Student Achievement

In this research, it is aimed to determine the success level of the students according to the answers given in the previous exams with TOPSIS method, to send the question to the related student by the authorized teacher according to the determined success level, to analyze the students periodical weekly monthly yearly performance with graphical data and to create a data bank and to determine the overall performance of the student. Developmental research technique was used, which is one of the design based research method derivatives including the design of educational tools. This study consists of question suggestion and question selection tool components. Adaptive question suggestion system perform generation, storage, classification, disclosure and publication of the content. The software has been successfully tested by 350 students and teachers by using 1000 questions prepared by the educator about the courses and subjects previously defined. As a result, it is seen that students check all the questions related to courses and subjects in the application database and submit the most appropriate question to the requestor in response to the question requests. Also it is observed that the TOPSIS algorithm quickly determined the desired number of questions from the question bank formed by the authorized teacher in accordance with the required criteria, and the process of creating a trial or subject test was performed successfully. ‡akir, A. | Yilmaz Ince, E. | Babanyyazova, Y. "Adaptive Question Recommendation System Based on Student Achievement" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29789.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/29789/adaptive-question-recommendation-system-based-on-student-achievement/%C3%A7akir-a