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Peer reviewedNatalie Brezack; Melissa Lee; Kelly Collins; Wynnie Chan; Mingyu Feng – Grantee Submission, 2025
Students' effort and emotions are important contributors to math learning. In a recent study evaluating the efficacy of MathSpring, a scalable web-based intelligent tutoring system that provides students with personalized math problems and affective support, system usage data were collected for 804 U.S. 10-12-year-olds. To understand the patterns…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Behavior Patterns, Student Behavior
Direct linkLiu, Min; Li, Chenglu; Pan, Zilong; Pan, Xin – Interactive Learning Environments, 2023
More research is needed on how to best use analytics to support educational decisions and design effective learning environments. This study was to explore and mine the data captured by a digital educational game designed for middle school science to understand learners' behavioral patterns in using the game, and to use evidence-based findings to…
Descriptors: Computer Games, Educational Games, Instructional Design, Instructional Effectiveness
Erickson, Megan; Gresham, Frank – Journal of Emotional and Behavioral Disorders, 2019
Universal screening serves to identify students at risk for emotional and behavioral difficulties while their behavior is still amenable to treatment. However, there are few universal screeners available for middle school students who may be at heightened risk for developing emotional and behavioral difficulties due to major academic and social…
Descriptors: Teacher Attitudes, Student Behavior, Screening Tests, Behavior Disorders
