Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States
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Byungsoo Jeon, Eyal Shafran, Luke Breitfeller, Jason Levin, Carolyn Penstein Rosé
Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States
EDM, 2019.

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@inproceedings{EDM-2019-JeonSBLR,
	author        = "Byungsoo Jeon and Eyal Shafran and Luke Breitfeller and Jason Levin and Carolyn Penstein Rosé",
	booktitle     = "{Proceedings of the 12th International Conference on Educational Data Mining}",
	ee            = "https://drive.google.com/file/d/1oWCptAcyWxv-QSrOQgL-9ShMNJimWTuu",
	publisher     = "{International Educational Data Mining Society}",
	title         = "{Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States}",
	year          = 2019,
}

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