Abstract
Rimac is a natural-language intelligent tutoring system that engages students in dialogues that address physics concepts and principles, after they have solved quantitative physics problems. Much research has been devoted to identifying features of tutorial dialogue that can explain its effectiveness (e.g., [1]), so that these features can be simulated in natural-language tutoring systems. One hypothesis is that the highly interactive nature of tutoring itself promotes learning. Several studies indicate that our understanding of interactivty needs refinement because it cannot be defined simply by the amount of interaction nor the granularity of the interaction but must also take into consideration how well the interaction is carried out (e.g., [2]).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bloom, B.: The 2 sigma problem: The search for methods of group instruction as effective as one-to-one tutoring. Educational Researcher 13, 4–16 (1984)
Chi, M., VanLehn, K., Litman, D., Jordan, P.: An evaluation of pedagogical tutorial tactics for a natural language tutoring system: A reinforcement learning approach. International Journal of Artificial Intelligence in Education 21, 83–113 (2011)
Katz, S., Albacete, P.: A tutoring system that simulates the highly interactive nature of human tutoring. Educational Psychology (Special Issue on Advanced Learning Technologies) (in press)
Katz, S., Albacete, P., Ford, M.J., Jordan, P., Lipschultz, M., Litman, D., Silliman, S., Wilson, C.: Pilot test of a natural-language tutoring system for physics that simulates the highly interactive nature of human tutoring. In: Chad Lane, H., Yacef, K., Mostow, J., Pavlik, P. (eds.) AIED 2013. LNCS (LNAI), vol. 7926, pp. 636–639. Springer, Heidelberg (2013)
Jordan, P., Hall, B., Ringenberg, M., Cui, Y., Rosé, C.: Tools for authoring a dialogue agent that participates in learning studies. In: Proceeding of Artificial Intelligence in Education Conference, pp. 43–50 (2007)
Jordan, P., Katz, S., Albacete, P., Ford, M., Wilson, C.: Reformulating student contributions in tutorial dialogue. In: Proceedings of 7th International Natural Language Generation Conference, pp. 95–99 (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jordan, P. et al. (2013). Interactive Event: The Rimac Tutor - A Simulation of the Highly Interactive Nature of Human Tutorial Dialogue. 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_148
Download citation
DOI: https://doi.org/10.1007/978-3-642-39112-5_148
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39111-8
Online ISBN: 978-3-642-39112-5
eBook Packages: Computer ScienceComputer Science (R0)