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ClickTree: A Tree-based Method for Predicting Math Students' Performance Based on Clickstream Data
March 25, 2024, 4:41 a.m. | Narjes Rohani, Behnam Rohani, Areti Manataki
cs.LG updates on arXiv.org arxiv.org
Abstract: The prediction of student performance and the analysis of students' learning behavior play an important role in enhancing online courses. By analysing a massive amount of clickstream data that captures student behavior, educators can gain valuable insights into the factors that influence academic outcomes and identify areas of improvement in courses. In this study, we developed ClickTree, a tree-based methodology, to predict student performance in mathematical assignments based on students' clickstream data. We extracted a …
abstract analysis arxiv behavior clickstream clickstream data courses cs.cy cs.hc cs.lg data influence insights massive math performance prediction role stat.ap students tree type
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