Linking Dialogue with Student Modelling to Create an Adaptive Tutoring System for Conceptual Physics

Author:

Katz Sandra,Albacete Patricia,Chounta Irene-Angelica,Jordan Pamela,McLaren Bruce M.,Zapata-Rivera Diego

Funder

Institute of Education Sciences

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Education

Reference175 articles.

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2. Al-Shanfari, L., Epp, C. D., & Baber, C. (2017). Evaluating the effect of uncertainty visualisation in open learner models on students’ metacognitive skills. In E. André, R. S. Baker, H. Xiangen, M. M. T. Rodrigo, & B. du Boulay (Eds.), Proceedings of the 18th International Conference on Artificial Intelligence in Education, AIED 2017, Wuhan, China, June 28 - July 2 2017 (Vol. 10331, pp. 15-27, lecture notes in computer science). Cham: Springer. https://doi.org/10.1007/978-3-319-61425-0_2.

3. Albacete, P., Jordan, P., & Katz, S. (2017a). Is a dialogue-based tutoring system that emulates helpful co-constructed relations during human tutoring effective? In C. Conati, N. Heffernan, A. Mitrovic, & M. Verdejo (Eds.), Proceedings of the 17th International Conference on Artificial Intelligence in Education, AIED 2015, Madrid, Spain, June 22-26 2015 (Vol. 9112, pp. 3-12, lecture notes in computer science). Cham: Springer. https://doi.org/10.1007/978-3-319-19773-9_1.

4. Albacete, P., Jordan, P., Katz, S., Chounta, I. A., & McLaren, B. M. (2019). The impact of student model updates on contingent scaffolding in a natural-language tutoring system. In S. Isotani, E. Millán, A. Ogan, P. Hastings, B. M. McLaren, & R. Luckin (Eds.), Proceedings of the 20th International Conference on Artificial Intelligence in Education, AIED 2019, Chicago, Illinois, June 25–29 2019 (Vol. 11625, pp. 37–47, Lecture Notes in Computer Science). Cham: Springer. https://doi.org/10.1007/978-3-030-23204-7_4.

5. Albacete, P., Jordan, P., Lusetich, D., Chounta, I. A., Katz, S., & McLaren, B. M. (2018). Providing proactive scaffolding during tutorial dialogue using guidance from student model predictions. In C. P. Rosé, R. Martínez-Maldonado, H. U. Hoppe, R. Luckin, M. Mavrikis, K. Porayska-Pomsta, et al. (Eds.), Proceedings of the 19th International Conference on Artificial Intelligence in Education, AIED 2018, London, UK, June 27–30 2018 (Vol. 10948, pp. 20–25, Lecture Notes in Computer Science). Cham: Springer. doi: https://doi.org/10.1007/978-3-319-93846-2_4.

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