Öğrencilerin önünde öğretmenlerin davranışlarını ve tepkilerini anlamaya yönelik analiz işleminin modellenmesi

Classroom management is one of the difficult aspects of teaching for many teachers. In our work, we are interested in behaviors of the teachers and how they analyze the students. Educational data mining is used. Main goal is to extract relevant information from big data mass by using several different techniques. Educational Data Mining is the application of data mining techniques on educational system data. In our research, there are two hypotheses related with teacher behaviors. For this purpose several different data sources are gathered in order to analyze and prove the hypotheses. According to the hypotheses, we worked on existence of special pattern while teacher is looking to the students and we searched if there is a specific order of looking, how of the teacher looks students, if the teacher looks each student with same duration or not. Furthermore, we searched if there is a group of student that teacher focus on for the flow of the course that called group of reference. As a conclusion, educational data mining methods are applied on educative system data by using data mining platform. Hence these data coming from different sources are analyzed in order to prove hypotheses. With the experimental dataset, we figured out existence of special pattern in teacher's behavior and look. For instance, we found that there is an order of looking students and it exists a reference group that the teacher looks usually. Also, teacher insists on looking handicapped students.