Towards identifying unresolved discussions in student online forums

Applied Intelligence

Volumn 40, Issue 4, 2014, Pages 601-612

  Kim, Jihie ^a   Kang, Jeon Hyung ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Discourse; Discussion assessment; On line discussion board; Speech act; Student Q A forum

Indexed keywords

INFORMATION ANALYSIS; INFORMATION MANAGEMENT; LINGUISTICS; SOCIAL NETWORKING (ONLINE); SPEECH ANALYSIS; SPEECH COMMUNICATION; STUDENTS;

COMPUTER-MEDIATED COMMUNICATION; DISCOURSE; DISCUSSION ASSESSMENT; DISCUSSION BOARDS; DISTRIBUTED EDUCATION; INFORMATION SHARING; INTELLIGENT ASSISTANCES; SPEECH ACTS;

EDUCATION COMPUTING;

EID: 84902549040     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10489-013-0481-1     Document Type: Article

References (31)

1. Ambady N et al (2001) Stereotype susceptibility in children: effects of identity activation on quantitative performance. Psychol Sci 12:385-390
2. Austin J (1962) How to do things with words. Harvard Univ. Press, Cambridge
3. Boyer K, Phillips R, Wallis M, Vouk M, Lester J (2008) Learner characteristics and feedback in tutorial dialogue. In: ACL workshop on innovative use of NLP for building educational applications
4. Carvalho VR, Cohen WW (2005) On the collective classification of email speech acts. In: Proceedings of SIGIR, pp 345-352
5. Chang C-C, Lin C-J (2001) LIBSVM: a library for support vector machines
6. Di Eugenio BD, Xie Z, Serafin R (2010) Dialogue act classification, instance-based learning, and higher order dialogue structure. In: Dialogue & discourse, vol 1
7. Dioşan D, Rogozan A, Pecuchet J (2012) Improving classification performance of support vector machine by genetically optimising kernel shape and hyper-parameters. Appl Intell 36(2):280-294
8. Feng D, Kim J, Shaw E, Hovy E (2006) Towards modeling threaded discussions through ontology-based analysis. In: Proceedings of national conference on artificial intelligence
9. Graesser AC, Olney A, Ventura M, Jackson GT (2005) AutoTutor's coverage of expectations during tutorial dialogue. In: Proceedings of the FLAIRS conference, pp 518-523
10. Grosz B, Sidner C (1986) Attention, intentions, and the structure of discourse. Comput Linguist 12(3):175-204
11. Hirschberg J, Litman D (1993) Empirical studies on the disambiguation of Cue phrases. Comput Linguist 19(3). http://dl.acm.org/citation.cfm?id=972490
12. Holmes G, Donkin A, Witten IH (1994) WEKA: a machine learning workbench. Tech Report 94/9, Dept. Computer Science., Waikato University, New Zealand
13. Kim J, Chern G, Feng D, Shaw E, Hovy E (2006) Mining and assessing discussions on the web through speech act analysis. In: Proceedings of the ISWC'06 workshop on web content mining with human language technologies
14. Krupnick CG (1985) Women and men in the classroom: inequity and its remedies. In: On Teaching and Learning, vol I. http://ddi.cs.uni-potsdam.de/ HyFISCH/Informieren/WomenMenClassroomKrupnick.htm
15. Lampert A, Dale R, Paris C (2008) The nature of requests and commitments in email messages. In: AAAI workshop on enhanced messaging
16. Mann WC, Thompson SA (1988) Rhetorical structure theory: towards a functional theory of text organization text. Interdiscip J Study Text 8(3):243-281
17. Marom Y, Zukerman I (2005) Towards a framework for collating help-desk responses from multiple documents. In: KRAQ'05: IJCAI workshop on knowledge and reasoning for answering questions
18. Márquez-Vera C, Cano A, Romero C, Ventura S (2013) Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data. Appl Intell 38(3):315-330
19. McLaren B, Scheuer O, De Laat M, Hever R, de Groot R, Rose CP (2007) Using machine learning techniques to analyze and support mediation of student e-discussions. In: Proceedings of AI in education
20. Osborne JW (2006) Gender, stereotype threat and anxiety: psychophysiological and cognitive evidence. J Res Educ Psychol 8:109-138
21. Ravi S, Kim J (2007) Profiling student interactions in threaded discussions with speech act classifiers. In: Proceedings of AI in education
22. Samuel K (2000) An investigation of dialogue act tagging using transformation-based learning. PhD Thesis, University of Delaware
23. Scardamalia M, Bereiter C (1996) Computer support for knowledge building communities. In: Koschmann T (ed) CSCL: theory and practice of an emerging paradigm. Mahwah, Erlbaum
24. Searle J (1969) Speech acts. Cambridge Univ. Press, Cambridge
25. Shawar BA, Atwell E (2005) Using corpora in machine-learning chatbot systems. Int J Corpus Linguist 10:489-516
26. Soricut R, Marcu D (2003) Sentence level discourse parsing using syntactic and lexical information. In: Proceedings of the annual conference of the North American chapter of the association for computational linguistics
27. Sporleder C, Lapata M (2005) Discourse chunking and its application to sentence compression. In: Proceedings of human language technology conference
28. Steele C (1997) Threat in the air: how stereotypes shape intellectual identity and performance. Am Psychol 52:613-629
29. Stolcke A, Coccaro N, Bates R et al (2000) Dialogue act modeling for automatic tagging and recognition of conversational speech. Comput Linguist 26(3):339-373
30. Witten IH, Frank E (2005) Data mining: practical machine learning tools and techniques, 2nd edn. Morgan Kaufmann, San Francisco
31. Yang Y, Pedersen JO (1997) A comparative study on feature selection in text categorization. In: Proc of the 14th international conference on machine learning, pp 412-420