Search results for author:"James C. Lester"
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International Journal of Artificial Intelligence in Education Vol. 26, No. 1 (2016) pp. 25–36
Johnson et al. ("International Journal of Artificial Intelligence in Education," 11, 47-78, 2000) introduced and surveyed a new paradigm for interactive learning environments: animated pedagogical agents. The article argued for combining...
The Case for Social Agency in Computer-based Teaching: Do Students Learn More Deeply When They Interact with Animated Pedagogical Agents?
Cognition and Instruction Vol. 19, No. 2 (2001) pp. 177–213
Five experiments explored a potentially more productive application of educational technology in which an individual learner has the opportunity to develop a social relation with a computer by interacting with an animated pedagogical agent. Results...
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
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...
Investigating the Role of Student Motivation in Computer Science Education through One-on-One Tutoring
Computer Science Education Vol. 19, No. 2 (June 2009) pp. 111–135
The majority of computer science education research to date has focused on purely cognitive student outcomes. Understanding the "motivational" states experienced by students may enhance our understanding of the computer science learning process, and ...
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...
Using sequence mining to reveal the efficiency in scientific reasoning during STEM learning with a game-based learning environment
Learning and Instruction Vol. 54, No. 1 (April 2018) pp. 93–103
The goal of this study was to assess how metacognitive monitoring and scientific reasoning impacted the efficiency of game completion during learning with
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...