ERIC Number: EJ1040766
Record Type: Journal
Publication Date: 2013-Nov
Abstractor: As Provided
Reference Count: 55
Understanding and Predicting Student Self-Regulated Learning Strategies in Game-Based Learning Environments
Sabourin, Jennifer L.; Shores, Lucy R.; Mott, Bradford W.; Lester, James C.
International Journal of Artificial Intelligence in Education, v23 n1-4 p94-114 Nov 2013
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 subject of increasing attention. Unfortunately, monitoring these behaviors in real-time has proven challenging. This paper presents an initial investigation into self-regulated learning in a game-based learning environment. Evidence of goal setting and monitoring behaviors is examined through students' text-based responses to update their "status" in an in-game social network. Students are then classified into SRL-use categories. This article describes the methodology used to classify students and discusses analyses demonstrating the learning and gameplay behaviors across students in different SRL-use categories. Finally, machine learning models capable of predicting these classes early in students' interaction are presented.
Descriptors: Learning Strategies, Learner Engagement, Computer Assisted Instruction, Educational Technology, Educational Games, Goal Orientation, Social Networks, Classification, Self Control, Predictor Variables, Student Behavior
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Authoring Institution: N/A