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Deep Attentive Study Session Dropout Prediction in Mobile Learning
  Environment
v1v2v3v4v5 (latest)

Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment

14 February 2020
Youngnam Lee
Dongmin Shin
Hyunbin Loh
Jaemin Lee
Piljae Chae
Junghyun Cho
Seoyon Park
Jinhwan Lee
Jineon Baek
Byungsoo Kim
Youngduck Choi
ArXiv (abs)PDFHTML

Papers citing "Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment"

3 / 3 papers shown
Title
SAICL: Student Modelling with Interaction-level Auxiliary Contrastive
  Tasks for Knowledge Tracing and Dropout Prediction
SAICL: Student Modelling with Interaction-level Auxiliary Contrastive Tasks for Knowledge Tracing and Dropout Prediction
Jungbae Park
Jinyoung Kim
Soonwoo Kwon
Sang Wan Lee
30
1
0
07 Oct 2022
AI-Driven Interface Design for Intelligent Tutoring System Improves
  Student Engagement
AI-Driven Interface Design for Intelligent Tutoring System Improves Student Engagement
Byungsoo Kim
H.J. Terry Suh
Jaewe Heo
Youngduck Choi
32
7
0
18 Sep 2020
EdNet: A Large-Scale Hierarchical Dataset in Education
EdNet: A Large-Scale Hierarchical Dataset in Education
Youngduck Choi
Youngnam Lee
Dongmin Shin
Junghyun Cho
Seoyon Park
Seewoo Lee
Jineon Baek
Chan Bae
Byungsoo Kim
Youngjun Jang
AI4Ed
90
186
0
06 Dec 2019
1