EDM
Early Prediction of Student Dropout in a Large-Scale Cram School Using Longitudinal Test Performance Data
Fri Jul 3, 9:00 AM–9:25 AM · North 209
Part of Industry Track
★ Notable speakers
Masanori Yamada
★
— Learning analytics, self-regulated learning, e-book analytics, CSCL, game-based learning
A paper using longitudinal test performance data to predict student dropout early in a large-scale cram school setting.
Authors
Masanori Yamada, Xuewang Geng, Ryosuke Oogushi, Kouki Nakao, Hiroyuki Iwashita, Koji Takano, Yuji Hirata, Masaki Miyazono, Hiroshi Kamio, Toshihide Tsutsui