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Kirk P. Vanacore; Ashish Gurung; Andrew A. McReynolds; Allison Liu; Stacy T. Shaw; Neil T. Heffernan – Grantee Submission, 2023
As evidence grows supporting the importance of non-cognitive factors in learning, computer-assisted learning platforms increasingly incorporate non-academic interventions to influence student learning and learning related-behaviors. Non-cognitive interventions often attempt to influence students' mindset, motivation, or metacognitive reflection to…
Descriptors: Intervention, Program Effectiveness, Student Behavior, Computer Assisted Instruction
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Joshua L. Brown; Patricia A. Jennings; Damira S. Rasheed; Heining Cham; Sebrina L. Doyle; Jennifer L. Frank; Regin Davis; Mark T. Greenberg – Grantee Submission, 2023
Mindfulness based interventions (MBIs) for teachers can improve classroom interactions, teacher mindfulness, and well-being, yet whether teacher focused MBIs also benefit children remains largely unexplored. This cluster randomized trial with 36 urban elementary schools, 224 K-5th grade teachers (M[subscript age] = 41.5) and 5200 children…
Descriptors: Academic Achievement, Social Emotional Learning, Outcomes of Education, Metacognition
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Huang, Eddie; Valdiviejas, Hannah; Bosch, Nigel – Grantee Submission, 2019
Metacognition is a valuable tool for learning, since it is closely related to self-regulation and awareness of one's own affect. However, methods for automatically detecting and studying metacognition are scarce. Thus, in this paper we describe an algorithm for automatic detection of metacognitive language in writing. We analyzed text from the…
Descriptors: Metacognition, Mathematics, Language Usage, Writing (Composition)
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Elise T. Pas; Christine Crimmins; Mary Kay Connerton; Ryan Voegtlin; Jessika Bottiani; Katrina Debnam; Kathryn B. Rockefeller; Megan Lewis; Susan Love; Catherine P. Bradshaw – Grantee Submission, 2024
Educators have embraced the promotion of social emotional development, student well-being, and mental health as essential educational objectives to promote academic readiness and growth. To address known research-to-practice gaps and limited availability of evidence-based, universal high school programs, we took a community-based participatory…
Descriptors: College School Cooperation, Wellness, Health Promotion, Instructional Design
Mesghina, Almaz; Wong, Joseph T.; Davis, Elizabeth L.; Lerner, Bella S.; Jackson-Green, Bryant J.; Richland, Lindsey E. – Grantee Submission, 2021
Undergraduates' distress has increased dramatically since the COVID-19 pandemic's onset, raising concerns for academic achievement. Yet little is known about the mechanisms by which pandemic-related distress may affect students' learning and performance, and consequently, how we might intervene to promote student achievement despite the continuing…
Descriptors: Undergraduate Students, Stress Management, First Generation College Students, Hispanic American Students
Jaciw, Andrew P.; Wingard, Audra; Zacamy, Jenna; Lin, Li; Lau, Sze-Shun – Grantee Submission, 2021
Teacher residencies are surfacing as a promising model for teacher preparation. One such residency program--Collaboration and Reflection to Enhance Atlanta Teacher Effectiveness (CREATE)--seeks to raise student achievement in local high-needs schools by increasing the effectiveness and retention of both new and veteran educators. CREATE aims to…
Descriptors: Program Evaluation, Teacher Collaboration, Reflection, Teacher Effectiveness
Jaciw, Andrew P.; Wingard, Audra; Zacamy, Jenna; Lin, Li; Lau, Sze-Shun – Grantee Submission, 2021
Teacher residencies are surfacing as a promising model for teacher preparation. One such residency program--Collaboration and Reflection to Enhance Atlanta Teacher Effectiveness (CREATE)--seeks to raise student achievement in local high-needs schools by increasing the effectiveness and retention of both new and veteran educators. CREATE aims to…
Descriptors: Program Evaluation, Teacher Collaboration, Reflection, Teacher Effectiveness
Steven Dang; Michael Yudelson; Kenneth R. Koedinger – Grantee Submission, 2017
The current study introduces a model for measuring student diligence using online behaviors during intelligent tutoring system use. This model is validated using a full academic year dataset to test its predictive validity against long-term academic outcomes including end-of-year grades and total work completed by the end of the year. The model is…
Descriptors: Student Behavior, Intelligent Tutoring Systems, Educational Technology, Academic Achievement
Burchinal, Margaret; Garber, Kylie; Foster, Tiffany; Bratsch-Hines, Mary; Franco, Ximena; Peisner-Feinberg, Ellen – Grantee Submission, 2021
Although high-quality early care and education (ECE) is widely accepted as one of the most effective means for promoting early learning and development, many ECE programs have limited impact perhaps because of issues with how ECE quality is defined and measured. This study seeks to expand definitions of ECE quality by asking which preschool ECE…
Descriptors: Educational Quality, Child Care, Academic Achievement, Outcomes of Education
Schmitt, Sara A.; Pratt, Megan E.; McClelland, Megan M. – Grantee Submission, 2014
The current study investigated the predictive utility among teacher-rated, observed, and directly assessed behavioral self-regulation skills to academic achievement in preschoolers. Specifically, this study compared how a teacher report, the Child Behavior Rating Scale, an observer report, the Observed Child Engagement Scale, and a direct…
Descriptors: Validity, Preschool Children, Prediction, Academic Achievement