Abstract
Collaborative and individual instruction may support different types of knowledge. Optimal instruction for a subject domain may therefore need to combine these two modes of instruction. There has not been much research, however, on combining individual and collaborative learning with Intelligent Tutoring Systems (ITSs). A first step is to expand ITSs for collaborative learning. This paper investigates the expansion of the Cognitive Tutor Authoring Tools to include collaborative components for example-tracing tutors. The tools were enhanced to support flexible use of collaboration scripts so different learning goals can be supported. We introduce the collaboration features supported and describe an initial pilot study using the new features in a fractions ITS.
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References
Aleven, V., McLaren, B.M., Sewall, J., Koedinger, K.R.: A New Paradigm for Intelligent Tutoring Systems: Example-tracing Tutors. International Journal of Artificial Intelligence in Education 19, 105–154 (2009)
Kobbe, L., Weinberger, A., Dillenbourg, P., Harrer, A., Hämäläinen, R., Häkkinen, P., Fischer, F.: Specifying Ccomputer-Supported Collaboration Scripts. International Journal of Computer-Supported Collaborative Learning 2(2), 211–224 (2007)
Kollar, I., Fischer, F., Hesse, F.W.: Collaboration Scripts–A Conceptual Analysis. Educational Psychology Review 18(2), 159–185 (2006)
Kumar, R., Rosé, C.P., Wang, Y., Joshi, M., Robinson, A.: Tutorial Dialogue as Adaptive Collaborative Learning Support. Frontiers in Artificial Intelligence and Applications 158, 383 (2007)
Lesgold, A., Katz, S., Greenberg, L., Hughes, E., Eggan, G.: Extensions of Intelligent Tutoring Paradigms to Support Collaborative Learning. In: Dijkstra, S., Krammer, H.P.M., van Merrienboer, J.J.G. (eds.) Instructional Models in Computer-based Learning Environments, pp. 291–311. Springer, Heidelberg (1992)
Lou, Y., Abrami, P.C., d’Apollonia, S.: Small Group and Individual Learning with Technology: A Meta-Analysis. Review of Educational Research 71(3), 449–521 (2001)
Mullins, D., Rummel, N., Spada, H.: Are Two Heads Always Better Than One? Differential Effects of Collaboration on Students’ Computer-Supported Learning in Mathematics. International Journal of Computer-Supported Collaborative Learning 6, 421–443 (2011)
Rau, M.A., Aleven, V., Rummel, N., Rohrbach, S.: Sense Making Alone Doesn’t Do It: Fluency Matters Too! ITS Support for Robust Learning with Multiple Representations. In: Cerri, S.A., Clancey, W.J., Papadourakis, G., Panourgia, K. (eds.) ITS 2012. LNCS, vol. 7315, pp. 174–184. Springer, Heidelberg (2012)
Walker, E., Rummel, N., Koedinger, K.: CTRL: A Research Framework for Providing Adaptive Collaborative Learning Support. User Modeling and User-Adapted Interaction. The Journal of Personalization Research (UMUAI) 19(5), 387–431 (2009)
VanLehn, K.: The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems. Educational Psychologist 46, 197–221 (2011)
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Olsen, J.K., Belenky, D.M., Aleven, V., Rummel, N. (2013). Intelligent Tutoring Systems for Collaborative Learning: Enhancements to Authoring Tools. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds) Artificial Intelligence in Education. AIED 2013. Lecture Notes in Computer Science(), vol 7926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39112-5_141
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DOI: https://doi.org/10.1007/978-3-642-39112-5_141
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