Predicting Performance on MOOC Assessments Using Multi-Regression Models / Zhiyun Ren, Huzefa Rangwala and Aditya Johri.

The past few years has seen the rapid growth of data mining approaches for the analysis of data obtained from Massive Open Online Courses (MOOCs). The objectives of this study are to develop approaches to predict the scores a student may achieve on a given grade-related assessment based on informati...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Authors:	Ren, Zhiyun, Rangwala, Huzefa (Author), Johri, Aditya (Author)
Format:	eBook
Language:	English
Published:	[Place of publication not identified] : Distributed by ERIC Clearinghouse, 2016.
Subjects:	Large Group Instruction. Online Courses. Educational Technology. Technology Uses in Education. Student Evaluation. Grades (Scholastic) Performance. College Students. Models. Predictor Variables. Multiple Regression Analysis. Data Collection. Study Habits. Learning Processes.