Success prediction in MOOCs: A case study

Success prediction in Massive Open Online Courses (MOOCs) is now tackled in numerous works, but still needs new case studies to compare the solutions proposed. We study here a specific dataset from a French MOOC provided by the OpenClassrooms company, featuring 12 courses. We exploit various features present in the literature and test several classification models.

[1]  Mina Shirvani Boroujeni,et al.  How to Quantify Student's Regularity? , 2016, EC-TEL.

[2]  Nitesh V. Chawla,et al.  MOOC Dropout Prediction: Lessons Learned from Making Pipelines Interpretable , 2017, WWW.

[3]  Irena Koprinska,et al.  Students at Risk: Detection and Remediation , 2015, EDM.

[4]  Jacqueline L. Feild.  Improving Student Performance Using Nudge Analytics , 2015, EDM.

[5]  Yannick Prié,et al.  Towards Reading Session-Based Indicators in Educational Reading Analytics , 2015, EC-TEL.

[6]  Kai Liu,et al.  Modelling the way: Using action sequence archetypes to differentiate learning pathways from learning outcomes , 2016, EDM.

[7]  Li Chen,et al.  A Nonlinear State Space Model for Identifying At-Risk Students in Open Online Courses , 2016, EDM.

[8]  Aditya Johri,et al.  Next-Term Student Performance Prediction: A Recommender Systems Approach , 2016, EDM.

[9]  Qing Chen,et al.  DropoutSeer: Visualizing learning patterns in Massive Open Online Courses for dropout reasoning and prediction , 2016, 2016 IEEE Conference on Visual Analytics Science and Technology (VAST).

[10]  L. Getoor,et al.  Predicting Post-Test Performance from Online Student Behavior: A High School MOOC Case Study , 2016 .

[11]  Wil M. P. van der Aalst,et al.  Learning Analytics on Coursera Event Data: A Process Mining Approach , 2015, SIMPDA.

[12]  Josh Gardner,et al.  Student success prediction in MOOCs , 2017, User Modeling and User-Adapted Interaction.

[13]  Aditya Johri,et al.  Predicting Performance on MOOC Assessments using Multi-Regression Models , 2016, EDM.

[14]  Joseph Jay Williams,et al.  Beyond Prediction: Towards Automatic Intervention in MOOC Student Stop-out , 2015, EDM.

[15]  Kalyan Veeramachaneni,et al.  Likely to stop? Predicting Stopout in Massive Open Online Courses , 2014, ArXiv.