Search results for author:"Bradford W. Mott"
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Jeanine A. DeFalco; Jonathan P. Rowe; Luc Paquette; Vasiliki Georgoulas-Sherry; Keith Brawner; Bradford W. Mott; Ryan S. Baker; James C. Lester
International Journal of Artificial Intelligence in Education Vol. 28, No. 2 (2018) pp. 152–193
Tutoring systems that are sensitive to affect show considerable promise for enhancing student learning experiences. Creating successful affective responses requires considerable effort both to detect student affect and to design appropriate...
Understanding and Predicting Student Self-Regulated Learning Strategies in Game-Based Learning Environments
International Journal of Artificial Intelligence in Education Vol. 23, No. 1 (November 2013) pp. 94–114
Self-regulated learning behaviors such as goal setting and monitoring have been found to be crucial to students' success in computer-based learning environments. Consequently, understanding students' self-regulated learning behavior has...
Problem Solving and Game-Based Learning: Effects of Middle Grade Students' Hypothesis Testing Strategies on Learning Outcomes
Journal of Educational Computing Research Vol. 44, No. 4 (2011) pp. 453–472
Targeted as a highly desired skill for contemporary work and life, problem solving is central to game-based learning research. In this study, middle grade students achieved significant learning gains from gameplay interactions that required solving...
International Journal of Artificial Intelligence in Education Vol. 21, No. 1 (2011) pp. 115–133
A key promise of narrative-centered learning environments is the ability to make learning engaging. However, there is concern that learning and engagement may be at odds in these game-based learning environments. This view suggests that, on the one...