Conversations with AutoTutor Help Students Learn

Author:

Graesser Arthur C.

Funder

National Science Foundation

Institute of Education Sciences

U.S. Army Research Laboratory

Office of Naval Research

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Education

Reference45 articles.

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2. Cade, W., Copeland, J., Person, N., & D’Mello, S. K. (2008). Dialogue modes in expert tutoring. In B. Woolf, E. Aimeur, R. Nkambou, & S. Lajoie (Eds.), Proceedings of the ninth international conference on intelligent tutoring systems (pp. 470–479). Berlin, Heidelberg: Springer-Verlag.

3. Cai, Z., Graesser, A. C., Forsyth, C., Burkett, C., Millis, K., Wallace, P., et al. (2011). Trialog in ARIES: user input assessment in an intelligent tutoring system. In W. Chen, & S. Li (Eds.), Proceedings of the 3rd IEEE international conference on intelligent computing and intelligent systems (pp. 429–433). Guangzhou: IEEE Press.

4. Cai, Z., Graesser, A. C., & Hu, X. (2015). ASAT: AutoTutor script authoring tool. In R. Sottilare, A. C. Graesser, X. Hu, & K. W. Brawner (Eds.), Design recommendations for intelligent tutoring systems: authoring tools (vol. 3, ). Orlando, FL: Army Research Laboratory.

5. D’Mello, S. K., & Graesser, A. C. (2012). AutoTutor and affective AutoTutor: learning by talking with cognitively and emotionally intelligent computers that talk back. ACM Transactions on Interactive Intelligent Systems, 2, 1–39.

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