Search results for author:"Kurumi_Kawate"
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Construction of a Prediction Model of the Shortest Annual Graduation by Machine Learning Using Learning Environment Data
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2018 (Oct 15, 2018) pp. 510–515
This paper study to predict whether students can graduate in four years at an early stage using machine learning. Four data sets are made from students' data containing Academic results and data before enrollment. Using these data sets,...