Prescribing Deep Attentive Score Prediction Attracts Improved Student Engagement

no code implementations • 27 Apr 2020 • Youngnam Lee, Byung-soo Kim, Dongmin Shin, JungHoon Kim, Jineon Baek, Jinhwan Lee, Youngduck Choi

To that end, we apply a state-of-the-art deep attentive neural network-based score prediction model to Santa, a multi-platform English ITS with approximately 780K users in South Korea that exclusively focuses on the TOEIC (Test of English for International Communications) standardized examinations.

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Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment

no code implementations • 14 Feb 2020 • Youngnam Lee, Dongmin Shin, HyunBin Loh, Jaemin Lee, Piljae Chae, Junghyun Cho, Seoyon Park, Jinhwan Lee, Jineon Baek, Byung-soo Kim, Youngduck Choi

First, we define the concept of the study session, study session dropout and study session dropout prediction task in a mobile learning environment.