What predicts exam scores in science classes with online practice supplement at secondary education: a learning analytics study via chaid

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2021-2-15

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Nalça, Ceylan

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In this study, within the scope of Learning Analytics; in a determined Learning Management System, the performance of the first semester Science exam of 6491students studying in the 5th,6th, 7thand 8thgrades among different private schools in Turkey and the variables that affect the exam performance are predicted. For the analysis of the study, Chi-square Automatic Interaction Detector (CHAID) classification technique, which is one of the decision tree methods, offered the best result among the other classification methods used. According to the results of the research, it was estimated that the most important variables related to students' exam performancewere the completed tests numbers and question numbers.

Subject Keywords

Learning Analytics, Data Mining, Decision Tree, CHAID

URI

https://hdl.handle.net/11511/89775

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

C. Nalça, “What predicts exam scores in science classes with online practice supplement at secondary education: a learning analytics study via chaid,” M.S. - Master of Science, Middle East Technical University, 2021.