Predicting performance behaviors during question generation in a game-like intelligent tutoring system
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.
Publication Title
Proceedings of International Conference of the Learning Sciences, ICLS
Recommended Citation
Forsyth, C., Graesser, A., Samei, B., Walker, B., & Pavlik, P. (2014). Predicting performance behaviors during question generation in a game-like intelligent tutoring system. Proceedings of International Conference of the Learning Sciences, ICLS, 3 (January), 1611-1612. Retrieved from https://digitalcommons.memphis.edu/facpubs/8393
