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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
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Direct linkDeborah J. Wu; Ryan C. Svoboda; Katherine K. Bae; Claudia M. Haase – Grantee Submission, 2021
The current laboratory-based study examined individual differences in sadness coherence (i.e., coherence between objectively coded sad facial expressions and heart rate in response to a sad film clip) and associations with dispositional affect (i.e., positive and negative affect, extraversion, neuroticism) and age in a sample of younger and older…
Descriptors: Individual Differences, Nonverbal Communication, Personality Traits, Neurosis
Rashedi, Roxanne N.; Bonnet, Kemberlee; Shulte, Rebecca J.; Schlundt, David G.; Swanson, Amy R.; Kinsman, Amy; Bardett, Nicole; Juarez, Pablo; Warren, Zachary E.; Biswas, Gautam; Kunda, Maithilee – Grantee Submission, 2021
Interest continues to be high in technology-based interventions for individuals with Autism Spectrum Disorder (ASD). Understanding the preferences and challenges of technology use among individuals with ASD can inform the design of such interventions. Through 18 interviews with parents, we used an iterative inductive-deductive approach to…
Descriptors: Autism Spectrum Disorders, Intervention, Interpersonal Competence, Preferences
