Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/1062
Title: Predicting Performance Behaviors during Question Generation in a Game-Like Intelligent Tutoring System
Authors: Forsyth, Carol
Graesser, Arthur C.
Samei, Borhan
Walker, Breya
Pavlik, Philip
,
Issue Date: Jun-2014
Publisher: Boulder, CO: International Society of the Learning Sciences
Citation: Forsyth, C., Graesser, A. C., Samei, B., Walker, B., Pavlik, P., & (2014). Predicting Performance Behaviors during Question Generation in a Game-Like Intelligent Tutoring System. In Joseph L. Polman, Eleni A. Kyza, D. Kevin O'Neill, Iris Tabak, William R. Penuel, A. Susan Jurow, Kevin O'Connor, Tiffany Lee, and Laura D'Amico (Eds.). Learning and Becoming in Practice: The International Conference of the Learning Sciences (ICLS) 2014. Volume 3. Colorado, CO: International Society of the Learning Sciences, pp. 1611-1612.
Abstract: The present research investigates learning constructs predicting performance behaviors during question generation in a serious game known as Operation ARA. In a between-subjects design, undergraduate students (N=66) completed the three teaching modules of the game, teaching the basic factual information, application of knowledge, and finally question generation about scientific research cases. Results suggest that constructs such as time-on-task, discrimination, and generation along with type of instruction (factual vs. applied) impact student behaviors during question generation.
URI: https://doi.dx.org/10.22318/icls2014.1611
https://repository.isls.org//handle/1/1062
Appears in Collections:ICLS2014

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