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Natalie 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
Gwendolyn M. Lawson; David S. Mandell; Liza Tomczuk; Jessica Fishman; Steven C. Marcus; Melanie Pellecchia – Grantee Submission, 2022
Purpose: Parent coaching is a complex, psychosocial intervention with multiple core components. Clinicians' use of these core components may be influenced by distinct factors; no research has examined whether clinician perceptions of parent coaching vary across core coaching components. This study aimed to examine the extent to which clinicians…
Descriptors: Parent Education, Coaching (Performance), Parents, Early Intervention
Clarissa A. Thompson; Jennifer M. Taber; Pooja G. Sidney; Charles J. Fitzsimmons; Marta K. Mielicki; Percival G. Matthews; Erika A. Schemmel; Nicolle Simonovic; Jeremy L. Foust; Pallavi Aurora; David J. Disabato; T. H. Stanley Seah; Lauren K. Schiller; Karin G. Coifman – Grantee Submission, 2021
At the onset of the coronavirus disease (COVID-19) global pandemic, our interdisciplinary team hypothesized that a mathematical misconception--whole number bias (WNB)--contributed to beliefs that COVID-19 was less fatal than the flu. We created a brief online educational intervention for adults, leveraging evidence-based cognitive science…
Descriptors: COVID-19, Pandemics, Cognitive Processes, Logical Thinking
Wang, Feihong; Algina, James; Snyder, Patricia; Cox, Martha; Vernon-Feagans, Lynne; Cox, Martha; Blair, Clancy; Burchinal, Margaret; Burton, Linda; Crnic, Keith; Crouter, Ann; Garrett-Peters, Patricia; Greenberg, Mark; Lanza, Stephanie; Mills-Koonce, Roger; Werner, Emily; Willoughby, Michael – Grantee Submission, 2017
We examined individual differences and predictions of children's patterns in behavioral, emotional and attentional efforts toward challenging puzzle tasks at 24 and 35 months using data from a large longitudinal rural representative sample. Using latent transition analysis, we found four distinct task-oriented patterns in problem-solving tasks…
Descriptors: Toddlers, Preschool Children, Task Analysis, Early Childhood Education
Wang, Yutao; Heffernan, Neil T.; Heffernan, Cristina – Grantee Submission, 2015
The well-studied Baker et al., affect detectors on boredom, frustration, confusion and engagement concentration with ASSISTments dataset were used to predict state tests scores, college enrollment, and even whether a student majored in a STEM field. In this paper, we present three attempts to improve upon current affect detectors. The first…
Descriptors: Majors (Students), Affective Behavior, Psychological Patterns, Predictor Variables