Discovering genres of online discussion threads via text mining

Computers and Education

Volumn 52, Issue 2, 2009, Pages 481-495

  Lin, Fu Ren ^a   Hsieh, Lu Shih ^b   Chuang, Fu Tai ^c  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^b NATIONAL SUN YAT SEN UNIVERSITY   (Taiwan)

^c NATIONAL TAIWAN NORMAL UNIVERSITY   (Taiwan)

Author keywords

Architectures for educational technology system; Computer mediated communication; Secondary education

Indexed keywords

CLARIFICATION; COHERENT LIGHT; COMPUTER ARCHITECTURE; DATA MINING; EDUCATION; EDUCATION COMPUTING; INFORMATION MANAGEMENT; INFORMATION RETRIEVAL SYSTEMS; ONLINE SYSTEMS; PROGRAMMING THEORY; STREAM FLOW;

ARCHITECTURES FOR EDUCATIONAL TECHNOLOGY SYSTEM; CASCADE CLASSIFICATIONS; CASCADE MODELS; CODING PROCESSES; CODING SYSTEMS; COMPUTER-MEDIATED COMMUNICATION; CONTENT ANALYSIS; COURSE MANAGEMENT SYSTEMS; DATA MINING TECHNIQUES; DISCUSSION FORUMS; DOCUMENT CLASSIFICATIONS; EMPIRICAL EVALUATIONS; EMPIRICAL RESULTS; GENRE CLASSIFICATIONS; HIGH SCHOOLS; HUMAN LABORS; K12 TEACHERS; KEY COMPONENTS; ONLINE COURSES; ONLINE DISCUSSIONS; RECALL AND PRECISIONS; SECONDARY EDUCATION; TEXT MININGS; TIME CONSUMING; VIRTUAL LEARNING ENVIRONMENTS;

TEACHING;

EID: 58049192823     PISSN: 03601315     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compedu.2008.10.005     Document Type: Article

References (28)

1. Berge Z., and Collins M. Computer mediated communication and the online classroom: Overview and perspectives (1995), Hampton Press, NJ
2. Bloehdorn, S., & Hotho, A. (2004). Boosting for text classification with semantic features. In Proceedings of the mining for and from the semantic web workshop at KDD.
3. Church, K. W., & Gale, W. A. (1995). Inverse document frequency (IDF): A measure of deviations from Poisson. In Proceedings of the third workshop on very large corpora (pp. 121-130).
4. Dringus L.P., and Ellis T. Using data mining as a strategy for assessing asynchronous discussion forums. Computers and Education 45 1 (2005) 141-160
5. Gunawardena C.N., Lowe C.A., and Anderson T. Analysis of a global online debate and the development of an interaction analysis model for examining social construction of knowledge in computer conferencing. Journal of Educational Computing Research 17 4 (1997) 397-431
6. Hara N., Bonk C.J., and Angeli C. Content analysis of online discussion in an applied educational psychology course. Instructional Science 28 2 (2000) 115-152
7. Japkowicz N. Learning from imbalanced data sets: A comparison of various strategies. AAAI Workshop on Learning from Imbalanced Data Sets (2000) 00-05
8. Japkowicz N., and Stephen S. The class imbalance problem: A systematic study. Intelligent Data Analysis 6 5 (2002) 429-449
9. Kear K. Following the thread in computer conferences. Computers and Education 37 1 (2001) 81-99. http://oro.open.ac.uk/5547/ Retrieved November 7, 2007, from http://oro.open.ac.uk/5547/
10. Kohavi, R. (1995). A study of cross-validation and bootstrap for accuracy estimation and model selection. In Proceedings of the 14th international joint conference on artificial intelligence (Vol. 2, pp. 1137-1145).
11. Kosala R., and Blockeel H. Web mining research: A survey. ACM SIGKDD Explorations Newsletter 2 1 (2000) 1-15
12. Ma, W., & Chen, K. (2003). Introduction to CKIP Chinese word segmentation system for the first international Chinese word segmentation bakeoff (pp. 168-171).
13. Mazzolini M. When to jump in: The role of the instructor in online discussion forums. Computers and Education 49 2 (2007) 193-213
14. Mitchell T. Machine learning (1997), The McGraw-Hill Companies
15. Moodle - A Free, (2007). Open source course management system for online learning. Retrieved November 7, 2007, from http://moodle.org/.
16. Palincsar A.S. Social constructivist perspectives on teaching and learning. Annual Review of Psychology 49 (1998) 345-375
17. Pena-Shaff J., Martin W., and Gay G. An epistemological framework for analyzing student interactions in computer-medicated communication environments. Journal of Interactive Learning Research 12 1 (2001)
18. Pena-Shaff J.B., and Nicholls C. Analyzing student interactions and meaning construction in computer bulletin board discussions. Computers and Education 42 3 (2004) 243-265
19. Peng, F., Huang, X., Schuurmans, D., & Wang, S. (2003). Text classification in asian languages without word segmentation. In Proceedings of the sixth international workshop on information retrieval with Asian languages (Vol. 11, pp. 41-48).
20. Quinlan J.R. Improved use of continuous attributes in C4. 5. Journal of Artificial Intelligence Research 4 1 (1996) 77-90. http://arxiv.org/abs/cs/9603103 Retrieved November 8, 2007, from http://arxiv.org/abs/cs/9603103
21. Radev, D. R., Fan, W., & Zhang, Z. (2001). WebInEssence: A personalized web-based multi-document summarization and recommendation system. In NAACL workshop on automatic summarization.
22. Schrire S. A model for evaluating the process of learning in asynchronous computer conferencing. Journal of Instruction Delivery Systems 17 1 (2003) 6-12
23. Scott, S., & Matwin, S. (1999). Feature engineering for text classification. In Proceedings of ICML-99, 16th international conference on machine learning (pp. 379-388).
24. Sebastiani F. Machine learning in automated text categorization. ACM Computing Surveys 34 1 (2002) 1-47
25. Witten I.H., and Frank E. Data mining: Practical machine learning tools and techniques with java implementations (1999), Morgan Kaufman
26. Witten I.H., and Frank E. Data mining: Practical machine learning tools and techniques (2005), Elsevier
27. Yang, Y., & Pedersen, J. O. (1997). A comparative study on feature selection in text categorization. In Proceedings of the 14th international conference on machine learning (Vol. 97, pp. 412-420).
28. Zhu, E. (1996) Meaning negotiation, knowledge construction, and mentoring in a distance learning course. In Proceedings of selected research and development presentations at the 1996 national convention of the association for educational communications and technology at indianapolis, IN. ERIC Doc Number: ED397849.