Özet:

In virtual learning environments, a lot of data appears due to the interaction of students with the learning content. These data are guiding in the design of educational data mining algorithms and virtual learning environments. However, it is necessary to study the impact of the teaching materials in which students interact in the virtual learning environment on their success status. Scientific processes that need to be monitored towards the practices of educational data mining that are addressed to such needs should also be revealed. In this study, the aim of the study is to identify the impact of different learning materials and interactions in the virtual learning environment on the state of success of students using the information discovery method from the database. The Open University Learning Analysis Datasets were used as big data in the study. The process was monitored according to the method of discovery of information from the database and the decision-making tree algorithms with the CART algorithm were asked for answers to research questions. The research findings have found that students’ interactions with teaching materials are a determiner of success. In this regard, the research findings in the decision that teaching designers will make for the establishment of standards in remote learning environments and for the determination of the preferred teaching materials for an effective teaching design are expected to be a guide.

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