Abstract
We present an initial field evaluation of Rimac, a natural-language tutoring system which implements decision rules that simulate the highly interactive nature of human tutoring. We compared this rule-driven version of the tutor with a non-rule-driven control in high school physics classes. Although students learned from both versions of the system, the experimental group outperformed the control group. A particularly interesting finding is that the experimental version was especially beneficial for female students.
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Arroyo, I., Beck, J.E., Woolf, B.P., Beal, C.R., Schultz, K.: Macroadapting animalwatch to gender and cognitive differences with respect to hint interactivity and symbolism. In: Gauthier, G., VanLehn, K., Frasson, C. (eds.) ITS 2000. LNCS, vol. 1839, pp. 574–583. Springer, Heidelberg (2000)
Bates, S., Donnely, R., MacPhee, C., Sands, D., Birch, M., Walet, N.R.: Gender Differences in Conceptual Understanding of Newtonian Mechanics: a UK Cross-institution Comparison. European Journal of Physics 34, 421–434 (2013)
Boyer, K.E., Phillips, R., Ingram, A., Ha, E.Y., Wallis, M., Vouk, M., Lester, J.: Characterizing the effectiveness of tutorial dialogue with hidden markov models. In: Aleven, V., Kay, J., Mostow, J. (eds.) ITS 2010, Part I. LNCS, vol. 6094, pp. 55–64. Springer, Heidelberg (2010)
Chi, M.T.H., Roy, M., Hausmann, R.G.: Observing Tutorial Dialogues Collaboratively: Insights About Human Tutoring Effectiveness From Vicarious Learning. Cognitive Science 32(2), 301–341 (2008)
Chi, M.T.H., Siler, S., Jeong, H., Yamauchi, T., Hausmann, R.G.: Learning from Human Tutoring. Cognitive Science 25, 471–533 (2001)
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)
Evens, M., Michaels, J.: One-on-one Tutoring by Humans and Computers. Lawrence Erlbaum Associates, New Jersey (2006)
Graesser, A.C., Person, N.K., Magliano, J.P.: Collaborative Dialogue Patterns in Naturalistic One-on-one Tutoring. Applied Cognitive Psychology 9, 495–522 (1995)
Hazari, Z., Sadler, P.M., Tai, R.H.: Gender Differences in the High School and Affective Experiences of Introductory College Physics Students. The Physics Teacher 46, 423 (2008)
Jordan, P., Hall, B., Ringenberg, M., Cui, Y., Rose, C.: Tools for authoring a dialogue agent that participates in learning studies. In: Proceedings of the 13th International Conference of AI in Education (2007)
Katz, S., Albacete, P.: A Tutoring System That Simulates the Highly Interactive Nature of Human Tutoring. Journal of Educational Psychology 105(4), 1126–1141 (2013)
Litman, D., Forbes-Riley, K.: Correlations Between Dialogue Acts and Learning in Spoken Tutoring Dialogues. Natural Language Engineering 12, 161–176 (2006)
Mann, W.C., Thompson, S.: Rhetorical Structure Theory: Toward a Functional Theory of Text Organization. Text 8, 243–281 (1988)
Murray, R.C., VanLehn, K.: A comparison of decision-theoretic, fixed-policy and random tutorial action selection. In: Ikeda, M., Ashley, K.D., Chan, T.-W. (eds.) ITS 2006. LNCS, vol. 4053, pp. 114–123. Springer, Heidelberg (2006)
Ravenscroft, A., Pilkington, R.M.: Investigation by Design: Developing Models to Support Reasoning and Conceptual Change. International Journal of Artificial Intelligence in Education 11, 273–298 (2000)
Van de Sande, C., Greeno, J.G.: A Framing of Instructional Explanations: Let’s explain with you. In: Stein, M.K., Kucan, L. (eds.) Instructional Explanations in the Disciplines, pp. 69–82. Springer, New York (2010)
Ward, A., Litman, D.: Adding abstractive reflection to a tutorial dialogue system. In: Proceedings of the 24th International Florida Artificial Intelligence Research Society Conference FLAIRS (2011)
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Albacete, P., Jordan, P., Katz, S. (2015). Is a Dialogue-Based Tutoring System that Emulates Helpful Co-constructed Relations During Human Tutoring Effective?. In: Conati, C., Heffernan, N., Mitrovic, A., Verdejo, M. (eds) Artificial Intelligence in Education. AIED 2015. Lecture Notes in Computer Science(), vol 9112. Springer, Cham. https://doi.org/10.1007/978-3-319-19773-9_1
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DOI: https://doi.org/10.1007/978-3-319-19773-9_1
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