Search Results for author: Seoyon Park

Found 2 papers, 1 papers with code

Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment

no code implementations14 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.

EdNet: A Large-Scale Hierarchical Dataset in Education

1 code implementation6 Dec 2019 Youngduck Choi, Youngnam Lee, Dongmin Shin, Junghyun Cho, Seoyon Park, Seewoo Lee, Jineon Baek, Chan Bae, Byung-soo Kim, Jaewe Heo

With advances in Artificial Intelligence in Education (AIEd) and the ever-growing scale of Interactive Educational Systems (IESs), data-driven approach has become a common recipe for various tasks such as knowledge tracing and learning path recommendation.

Knowledge Tracing

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