NDLI: The Design of Online Learning Process Analysis and Mining System

Content Provider	IEEE Xplore Digital Library
Author	XiaoMing Cao Kekang He Shiqing Hu
Copyright Year	2009
Abstract	Data analysis and mining is an important paradigm for educational assessment. But most of the existing solutions are based on direct mining of random structured log files. Therefore there exist some key issues like low efficiency, complex calculation formula, and difficult to provide vivid feedback. This paper presents an innovative approach of defining individual data mining unit into "learning activity". It introduces a complete and replayable learning process framework through the analysis on node properties and record of students' activity information on each node. This paper further discusses three core questions within system design, e.g. record of learning process, analysis of learning cycle, and feedback of learning result, and then presents related solutions. In the end of this paper, it briefly summarizes the framework of evaluation system based on this research, and its application progress in a national teacher training project hold by China Ministry of Education.
Starting Page	239
Ending Page	242
File Size	390342
Page Count	4
File Format	PDF
ISBN	9780769536040
DOI	10.1109/DBTA.2009.122
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Learning process Learning Activity Data analysis Educational technology Decoding Data mining Helium System analysis and design Information analysis Electronic learning Databases Learning Path Feedback Learning Activity Manage System
Content Type	Text
Resource Type	Article

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