Analyzing Student Inquiry Data Using Process Discovery and Sequence Classification / Bruno Emond and Scott Buffett.

This paper reports on results of applying process discovery mining and sequence classification mining techniques to a data set of semi-structured learning activities. The main research objective is to advance educational data mining to model and support self-regulated learning in heterogeneous envir...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Authors:	Emond, Bruno, Buffett, Scott (Author)
Corporate Author:	International Educational Data Mining Society
Format:	eBook
Language:	English
Published:	[Place of publication not identified] : Distributed by ERIC Clearinghouse, 2015.
Subjects:	Data Analysis. Classification. Learning Activities. Inquiry. Learning Processes. Student Behavior. Sequential Approach. Skills. Students.