A Nonlinear State Space Model for Identifying At-Risk Students in Open Online Courses / Feng Wang and Li Chen.

How to identify at-risk students in open online courses has received increasing attention, since the dropout rate is unexpectedly high. Most prior studies have focused on using machine learning techniques to predict student dropout based on features extracted from students' learning activity lo...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Authors:	Wang, Feng, Chen, Li (Author)
Format:	eBook
Language:	English
Published:	[Place of publication not identified] : Distributed by ERIC Clearinghouse, 2016.
Subjects:	Identification. At Risk Students. Online Courses. Large Group Instruction. Potential Dropouts. Prediction. Probability. Accuracy. Dropout Characteristics. Models. Classification.