Abstract
This paper describes efforts to both promote and recognize student dialogue in free-entry text discussion within an inquiry-learning environment. First, we discuss collaborative tools that enable students to work together and how these tools can potentially focus student effort on subject matter. We then show how our tutor uses an expert knowledge base to recognize (with 88% success rate) when students are discussing content relevant to the problem and to correctly link (with 70% success) that content with an actual topic. Subsets of the data indicate that even better results are possible. This research provides solid support for the concept of using a knowledge base to recognize content in free-entry text discussion. The paper concludes by demonstrating how this content recognition can be used to support students engaged in problem-solving activities.
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References
Dragon, T., Woolf, B.P., Marshall, D.: Coaching within a domain independent inquiry environment. In: Ikeda, M., Ashley, K.D., Chan, T.-W. (eds.) ITS 2006. LNCS, vol. 4053, pp. 144–153. Springer, Heidelberg (2006)
Constantino-Gonzalez, M.A., Suthers, D.D., Escamilla de los Santos, J.G.: Coaching web-based collaborative learning based on problem solution differences and participation. International Journal of Artificial Intelligence in Education 13(2-4), 263–299 (2003)
Baghaei, N., Mitrovic, A.: From Modelling Domain Knowledge to Metacognitive Skills: Extending a Constraint-Based Tutoring System to Support Collaboration. In: Conati, C., McCoy, K., Paliouras, G. (eds.) UM 2007. LNCS (LNAI), vol. 4511, pp. 217–227. Springer, Heidelberg (2007)
Soller, A., Martinez-Monez, A., Jermann, P., Muehlenbrock, M.: From mirroring to guiding: A review of state of the art technology for supporting collaborative learning. International Journal of Artificial Intelligence in Education 15(4), 261–290 (2005)
Ravenscroft, A., McAlister, S., Sagar, M.: Digital Dialogue Games and InterLoc: A Deep Leaning Design for Collaborative Argumentation on the Web. In: Pinkwart, N. (ed.) Educational Technologies for Teaching Argumentation Skills. Bentham Science E-Books (2010)
Ravi, S., Kim, J., Shaw, E.: Mining On-line Discussions: Assessing, Technical Quality for Student Scaffolding and Classifying Messages for Participation Profiling. In: Educational Data Mining Workshop for the Conference of Artificial Intelligence in Education, Marina del Rey, CA. USA, July 2007, pp. 70–79 (2007)
Bernhard, D., Gurevych, I.: Answering learners’ questions by retrieving question paraphrases from social Q&A sites. In: Proceedings of the Third Workshop on Innovative Use of NLP for Building Educational Applications for the Association for Computational Linguistics Columbu, Ohio, pp. 44–52 (2008)
Dragon, T., Woolf, B.P., Murray, T.: Intelligent Coaching for Collaboration in Ill-Defined Domains. In: Conference of Artificial Intelligence in Education, Brighton, England, pp. 740–742 (2009)
Lu, J., Lajoie, S.P.: Facilitating medical decision making with collaborative tools. In: Proceedings the World Conference on Education Multimedia, Hypermedia & Telecommunications, pp. 2062–2066. AACE, Norfolk (2005)
Truth Mapping: A Tool To Elevate Debate: http://www.truthmapping.com
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Dragon, T., Floryan, M., Woolf, B., Murray, T. (2010). Recognizing Dialogue Content in Student Collaborative Conversation. In: Aleven, V., Kay, J., Mostow, J. (eds) Intelligent Tutoring Systems. ITS 2010. Lecture Notes in Computer Science, vol 6095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13437-1_12
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DOI: https://doi.org/10.1007/978-3-642-13437-1_12
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