Abstract
Students learn by teaching others as tutors. Advancement in the theory of learning by teaching has given rise to many pedagogical agents. In this paper, we exploit a known cognitive theory that states if a tutee asks deep questions in a peer tutoring environment, a tutor benefits from it. Little is known about a computational model of such deep questions. This paper aims to formalize the deep tutee questions and proposes a generalized model of inquiry-based dialogue, called the constructive tutee inquiry, to ask follow-up questions to have tutors reflect their current knowledge (aka knowledge-building activity). We conducted a Wizard of Oz study to evaluate the proposed constructive tutee inquiry. The results showed that the constructive tutee inquiry was particularly effective for the low prior knowledge students to learn conceptual knowledge.
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Acknowledgment
This research was supported by the Institute of Education Sciences, U.S. Department of Education, through Grant No. R305A180319 and National Science Foundation Grant No. 1643185 to North Carolina State University. The opinions expressed are those of the authors and do not represent views of the Institute or the U.S. Department of Education.
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Shahriar, T., Matsuda, N. (2021). “Can You Clarify What You Said?”: Studying the Impact of Tutee Agents’ Follow-Up Questions on Tutors’ Learning. In: Roll, I., McNamara, D., Sosnovsky, S., Luckin, R., Dimitrova, V. (eds) Artificial Intelligence in Education. AIED 2021. Lecture Notes in Computer Science(), vol 12748. Springer, Cham. https://doi.org/10.1007/978-3-030-78292-4_32
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