The CSCL framework of this work aims at reinforcing knowledge by rebuilding and representing it synthetically in form of a network of concepts, which is built through exchanged messages using a chat and a graphical tool. We have found that during the collaborative learning sessions important troubles bring about deadlocks affecting the learning process. The hypothesis of this work states that significant troubles are expressed by students in form of assistance requests originating behavior patterns associated with certain phases defined within the collaborative learning sessions. Analysis of dialogs of real collaborative learning sessions confirmed this hypothesis, whose results point towards the development of on-line assistance system that aims at breaking the deadlocks caused by troubles expressed in the form of assistance requests. Derived from an analysis of 55 dialogs of a course of databases, we defined three phases characterized by particular assistance requests occurring during the collaborative learning sessions: a) a bootstrap phase characterized by requests about doubts of the use of tools; b) a work phase, wherein requests are related with the construction of the network concepts; c) the goodbye phase wherein requests reflect doubts about the final deliverable network.
Barnes, D., & Todd, F. (1977). Communication and learning in small groups. London: Routledge & Kegan Paul Ltd.
Barros, B., & Verdejo, M. F. (2000). Analysing student interaction processes in order to improve collaboration. The DEGREE approach. International Journal of Artificial Intelligence in Education, 11, 221-241.
Bote, M. L., Vaquero, L. M., Vega, G., Asensio, J. I., Gómez, E., & Dimitriadis, Y. (2004). GRIDCOLE: A grid collaborative learning environment. Proceedings of the 1st International Workshop on Collaborative Learning Applications of Grid Technology, Chicago, 19-22 April 2004.
Caballé, S., Xhafa, F., & Abraham, A. (2008). Towards an automatic real-time assessment of online discussions in CSCL practices. Proceedings of the 3rd International Conference on Digital Information Management (pp. 470-475), London, 13-16 November 2008.
Cohen, W., Carvalho V., & Mitchell, T. (2004). Learning to classify Email into “Speech Acts”. Proceedings of Empirical Methods on Natural Language Processing (pp. 309-316), Barcelona, 27-31 July 2004.
Collazos, C., Guerrero, L., Pino, J., & Ochoa, S. (2002). Evaluating collaborative learning processes. Proceedings of the 8th International Workshop on Groupware, La Serena, 1-4 September 2002, 203-221.
Crook, C. (1996). Computers and the collaborative experience of learning. New York: Routledge.
Dillenbourg P. (1999). What do you mean by collaborative learning? In P. Dillenbourg (Ed), Collaborative-learning: Cognitive and computational approaches (pp. 1-19). Oxford: Elsevier.
Dillenburg, P., Baker M., Blake A. et al. (1996). The evolution of research on collaborative learning. In E. Spada, & P. Reimann (Eds), learning in humans and machines (pp. 189-211). Oxford: Pergamon.
Feng, D., Shaw, E., Kim, J., & Hovy, E. (2006). Learning to detect conversation focus of threaded discussions. In Proceedings of the Joint Human Language Technology Conference/Annual Meeting of the North American (pp. 19-26), New York, 4-9 June 2006.
Juan, A., Daradoumis, T., Faulin, J., & Xhafa, F. (2008). Developing an information system for monitoring student’s activity in online collaborative learning. In Proceedings of the complex, intelligent and software intensive systems (pp. 270–275), Catalonia, 4-7 March 2008.
Kim, J., Beal, C., & Maqbool, Z. (2005), Developing teaching aids for distance education. In Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (pp. 848-850), Amsterdam, 18-22 July 2005.
Kim, J., Shaw, E., & Chern, G. (2007). Novel tools for assessing student discussions: Modeling threads and participant roles through speech act and topic analysis. In Proceedings of the 13th International Conference on Artificial Intelligence in Education, Marina Del Rey, 9-13 July 2007.
Kim, J., Shaw, E., Tavano, E., Arromratana, A., Sarda P., & Beal C. (2008). Towards automatic scaffolding of on-line discussions in engineering courses. Annual Meeting of the American Educational Research Association, New York, 24-28 March 2008.
Paik, W., Lee, J. Y., & McMahan, E. (2004). Facilitating collaborative learning in virtual (and sometimes mobile) environment. Lecture Notes in Computer Science, 3307, 161-166.
Painter, C., Coffin, C., & Hewings, A. (2003). Impacts of directed tutorial activities in computer conferencing: A case study. Distance Education, 24, 159-174. doi:10.1080/0158791032000127455
Pilkington, R. (2001). Analysing educational dialogue interaction: Towards models that support learning. Introduction to the IJAIED special Issue on analysing educational dialogue interaction. International Journal of Artificial Intelligence in Education, 12, 1-7.
Ramos-Quintana, F., Sámano-Galindo, J., & Zárate-Silva, V. Z. (2008). Collaborative environments through dialogues and PBL to encourage the self-directed learning in computational sciences. Lecture Notes in Computer Science, 5102, 725-734.
Ravi, S., & Kim, J., (2007). Profiling student interactions in threaded discussions with speech act classifiers. In Proceedings of the AI in Education Conference, Marina Del Rey, 9-13 July 2007.
Rojano, R., Ramos, F., & García, G. (2010). Proposal for a collaborative distributed tool for building network of concepts. Puerto Vallarta : Alfa-Omega, 383-388.
Roschelle, J., & Teasley, S. D. (1995). The construction of shared knowledge in collaborative problem solving. In C. E. O'Malley (Ed.), Computer-Supported Collaborative Learning (pp.69-197). Berlin: Springer-Verlag. doi:10.1007/978-3-642-85098-1_5
Scheuer, O., Loll, F., Pinkwart, N., & McLaren, B. (2010). Computer-supported argumentation: A review of the state of the art. International Journal of computer-Suported Collaborative Learning, 5, 43-102.
Seo, S., Kang, J., Drummond, J., Kim. J., (2011). Using graphical models to classify dialogue transition in online Q&A discussions. Lecture Notes in Computer Science, 6738, 550-553. doi:10.1007/978-3-642-21869-9_98
Soller, A. (2001). Supporting social interaction in an intelligent collaborative learning system. International Journal of Artificial Intelligence in Education, 12, 40-62, 2001.
Soller, A., Martínez Monés, A., Jermann, P., & Muehlenbrock, M. (2005). From mirroring to guiding: A review of state of the art technology for supporting collaborative learning. International Journal of AI in Education, 15, 261-290.
Stahl, G., Koschmann, T., & Suthers, D. Computer supported collaborative learning: An historical perspective. In R. K. Sawyer (Ed.), Cambridge handbook of the learning sciences (pp. 409-426). Cambridge: Cambridge University Press.
Yang, C., & Chang, Y. S. Assessing the effects of interactive blogging on student attitudes towards peer instruction, learning motivation and academic achievements. Journal of Compouter Assisted Learning, 28, 126-135. doi:10.1111/j.1365-2729.2011.00423.x