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Delving Deeper into MOOC Student Dropout Prediction

Delving Deeper into MOOC Student Dropout Prediction

21 February 2017
Jacob Whitehill
K. Mohan
Daniel T. Seaton
Y. Rosen
D. Tingley
ArXiv (abs)PDFHTML

Papers citing "Delving Deeper into MOOC Student Dropout Prediction"

9 / 9 papers shown
Students Success Modeling: Most Important Factors
Students Success Modeling: Most Important Factors
Sahar Voghoei
J. M. Byars
Scott King
Soheil Shapouri
Hamed Yaghoobian
Khaled Rasheed
H. Arabnia
171
2
0
06 Sep 2023
Meta Transfer Learning for Early Success Prediction in MOOCs
Meta Transfer Learning for Early Success Prediction in MOOCsACM Conference on Learning @ Scale (L@S), 2022
Vinitra Swamy
Mirko Marras
Tanja Käser
AI4Ed
246
29
0
25 Apr 2022
Deep Attentive Study Session Dropout Prediction in Mobile Learning
  Environment
Deep Attentive Study Session Dropout Prediction in Mobile Learning EnvironmentInternational Conference on Computer Supported Education (CSEDU), 2020
Youngnam Lee
Dongmin Shin
Hyunbin Loh
Jaemin Lee
Piljae Chae
...
Seoyon Park
Jinhwan Lee
Jineon Baek
Byungsoo Kim
Youngduck Choi
436
16
0
14 Feb 2020
Dropout Prediction over Weeks in MOOCs by Learning Representations of
  Clicks and Videos
Dropout Prediction over Weeks in MOOCs by Learning Representations of Clicks and Videos
Byungsoo Jeon
Namyong Park
104
10
0
05 Feb 2020
Deep Learning to Predict Student Outcomes
Deep Learning to Predict Student Outcomes
Byung-Hak Kim
94
2
0
27 Apr 2019
Domain Adaptation for Real-Time Student Performance Prediction
Domain Adaptation for Real-Time Student Performance Prediction
Byung-Hak Kim
Ethan Vizitei
Varun Ganapathi
AI4CEOOD
110
11
0
07 Sep 2018
GritNet: Student Performance Prediction with Deep Learning
GritNet: Student Performance Prediction with Deep LearningEducational Data Mining (EDM), 2018
Byung-Hak Kim
Ethan Vizitei
Varun Ganapathi
99
120
0
19 Apr 2018
Connectionist Recommendation in the Wild: On the utility and
  scrutability of neural networks for personalized course guidance
Connectionist Recommendation in the Wild: On the utility and scrutability of neural networks for personalized course guidance
Z. Pardos
Zihao Fan
Weijie Jiang
HAI
217
80
0
26 Mar 2018
MORF: A Framework for Predictive Modeling and Replication At Scale With
  Privacy-Restricted MOOC Data
MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data
Josh Gardner
Christopher A. Brooks
J. M. Andres
Ryan S. Baker
AI4CE
124
18
0
16 Jan 2018
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