Search results for author:"Bradford W. Mott"
Total records matched: 5 Search took: 0.104 secs
You may get more results with author:"Bradford W. Mott".
-
Early Prediction of Student Self-Regulation Strategies by Combining Multiple Models
Jennifer L. Sabourin; Bradford W. Mott; James C. Lester
International Conference on Educational Data Mining (EDM) 2012 (June 2012)
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 been the...
-
Problem Solving and Game-Based Learning: Effects of Middle Grade Students' Hypothesis Testing Strategies on Learning Outcomes
Hiller A. Spires; Jonathan P. Rowe; Bradford W. Mott; James C. Lester
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...
-
Integrating Learning, Problem Solving, and Engagement in Narrative-Centered Learning Environments
Jonathan P. Rowe; Lucy R. Shores; Bradford W. Mott; James C. Lester
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...
-
Understanding and Predicting Student Self-Regulated Learning Strategies in Game-Based Learning Environments
Jennifer L. Sabourin; Lucy R. Shores; Bradford W. Mott; James C. Lester
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...
-
Detecting and Addressing Frustration in a Serious Game for Military Training
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...