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Download full textWagner, Kerstin; Merceron, Agathe; Sauer, Petra; Pinkwart, Niels – International Educational Data Mining Society, 2023
In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design and which is based on the explainable k-nearest neighbor algorithm,…
Descriptors: College Freshmen, At Risk Students, Dropouts, Dropout Programs
Direct linkLiu, Xiufeng; Ruiz, Miguel E. – Journal of Research in Science Teaching, 2008
This article reports a study on using data mining to predict K-12 students' competence levels on test items related to energy. Data sources are the 1995 Third International Mathematics and Science Study (TIMSS), 1999 TIMSS-Repeat, 2003 Trend in International Mathematics and Science Study (TIMSS), and the National Assessment of Educational…
Descriptors: Concept Teaching, Elementary Secondary Education, Academic Achievement, National Competency Tests
