Connections: new ways of working in the networked organization
Connections: new ways of working in the networked organization
ACM Computing Surveys (CSUR)
Semantic resource management for the web: an e-learning application
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Data Mining and Text Mining Technologies for Collaborative Learning in an ILMS "Samurai"
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Using data mining as a strategy for assessing asynchronous discussion forums
Computers & Education
Educational data mining: A survey from 1995 to 2005
Expert Systems with Applications: An International Journal
MSMiner-a developing platform for OLAP
Decision Support Systems
A local-density based spatial clustering algorithm with noise
Information Systems
Data mining in course management systems: Moodle case study and tutorial
Computers & Education
What is online learner participation? A literature review
Computers & Education
Expert Systems with Applications: An International Journal
A theory of online learning as online participation
Computers & Education
Discovering genres of online discussion threads via text mining
Computers & Education
Clustering and Sequential Pattern Mining of Online Collaborative Learning Data
IEEE Transactions on Knowledge and Data Engineering
Mining LMS data to develop an "early warning system" for educators: A proof of concept
Computers & Education
Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Identifying influential factors of business process performance using dependency analysis
Enterprise Information Systems - Empowering Enterprises Through Next-Generation Enterprise Computing - 13th International IEEE EDOC Conference (EDOC 2009)
Healthcare information systems: data mining methods in the creation of a clinical recommender system
Enterprise Information Systems
Enterprise Information Systems
Development of an integrated medical supply information system
Enterprise Information Systems
Introduction: Advances in E-business engineering
Information Technology and Management
Data mining to generate individualised feedback
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
A Survey and Future Vision of Data Mining in Educational Field
ACCT '12 Proceedings of the 2012 Second International Conference on Advanced Computing & Communication Technologies
Usage reporting on recorded lectures using educational data mining
International Journal of Learning Technology
An Integrated Approach for Agricultural Ecosystem Management
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Review: Data mining techniques and applications - A decade review from 2000 to 2011
Expert Systems with Applications: An International Journal
Review: Educational data mining: A survey and a data mining-based analysis of recent works
Expert Systems with Applications: An International Journal
Analyzing the students' behavior and relevant topics in virtual learning communities
Computers in Human Behavior
Analytics of the effects of video use and instruction to support reflective learning
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
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This study analyses the online questions and chat messages automatically recorded by a live video streaming (LVS) system using data mining and text mining techniques. We apply data mining and text mining techniques to analyze two different datasets and then conducted an in-depth correlation analysis for two educational courses with the most online questions and chat messages respectively. The study found the discrepancies as well as similarities in the students' patterns and themes of participation between online questions (student-instructor interaction) and online chat messages (student-students interaction or peer interaction). The results also identify disciplinary differences in students' online participation. A correlation is found between the number of online questions students asked and students' final grades. The data suggests that a combination of using data mining and text mining techniques for a large amount of online learning data can yield considerable insights and reveal valuable patterns in students' learning behaviors. Limitations with data and text mining were also revealed and discussed in the paper.