Mining Behaviours of Students in Autograding Submission System Logs / Jessica McBroom, Bryn Jeffries and Irena Koprinska.

Effective mining of data from online submission systems offers the potential to improve educational outcomes by identifying student habits and behaviours and their relationship with levels of achievement. In particular, it may assist in identifying students at risk of performing poorly, allowing for...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Authors:	McBroom, Jessica, Jeffries, Bryn (Author), Koprinska, Irena (Author), Yacef, Kalina (Author)
Format:	eBook
Language:	English
Published:	[Place of publication not identified] : Distributed by ERIC Clearinghouse, 2016.
Subjects:	Data Collection. Student Behavior. Academic Achievement. Correlation. At Risk Students. Computer Science. Automation. Grading. Student Evaluation. Feedback (Response) Data Analysis. Grades (Scholastic) Programming. College Students. Foreign Countries.