Title :
The Design of Online Learning Process Analysis and Mining System
Author :
Cao, XiaoMing ; He, Kekang ; Hu, Shiqing
Author_Institution :
Shenzhen Univ., Shenzhen, China
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.
Keywords :
data analysis; data mining; educational administrative data processing; data analysis; data mining; educational assessment; learning activity; learning cycle; learning feedback; node property; online learning process analysis; random structured log file; student activity information; system design; Data analysis; Data mining; Databases; Decoding; Educational technology; Electronic learning; Feedback; Helium; Information analysis; System analysis and design; Data mining; Learning Activity; Learning Activity Manage System; Learning Path; Learning process;
Conference_Titel :
Database Technology and Applications, 2009 First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3604-0
DOI :
10.1109/DBTA.2009.122
