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Elbaum, Batya; Perry, Lynn K.; Messinger, Daniel S. – Grantee Submission, 2024
New technologies that combine digital sensors with automated processing algorithms are now being deployed to study preschool classrooms. This article provides an overview of these new sensing technologies, focusing on automated speaker classification, the analysis of children's and teachers' speech, and the detection and analysis of their…
Descriptors: Preschool Education, Preschool Children, Social Networks, Interaction
Davis Schoch, Annie; Tidus, Kaela M.; Catherine, Evandra; Perry, Deborah F.; Duran, Frances; Rabinovitz, Lauren – Grantee Submission, 2024
Exclusionary discipline practices differentially harm young children of color. As early childhood education systems seek to close these gaps to ensure all young children have access to high quality early learning experiences, the field requires more evidence-based approaches that can be scaled and replicated. Infant and early childhood mental…
Descriptors: Mental Health, Infants, Preschool Children, Delphi Technique
Peer reviewedMartha Abele Mac Iver; Marcia Davis; Douglas J. Mac Iver – Grantee Submission, 2024
Motivating today's adolescents to read is a challenge. This article discusses the kinds of literacy instructional practices that leverage what we know about adolescent motivation. It also reviews several evidence-based literacy interventions designed to engage and motivate adolescent readers that can potentially lead to improvements in student…
Descriptors: Reading Motivation, Academic Achievement, Evidence Based Practice, Intervention
Minkyung Cho; Young-Suk Grace Kim – Grantee Submission, 2024
Examining the dimensionality of oral discourse language skills in early childhood is crucial in informing theories of language and literacy development. This study examined the factor structure of linguistic and discourse features in oral text production for second graders. A total of 330 English-speaking second graders (M[subscript age] = 7.33,…
Descriptors: Oral Language, Discourse Analysis, Language Skills, Factor Structure
Peer reviewedMelissa A. Page; Catherine Snyder; Kathy Dowell – Grantee Submission, 2024
The Lyceum, implemented by Guilford County Schools (GCS), was an arts education program designed to promote arts integration for all GCS students and exposure to Entertainment Arts & Technology for students at Penn-Griffin School for the Arts. The Lyceum impact evaluation used a quasi-experimental design (QED) to examine the effect of…
Descriptors: Art Education, Program Evaluation, Comparative Analysis, Academic Achievement
PREPARE: Piedmont-Triad Residency Educator Program and Recruitment Efforts. Impact Evaluation Report
Peer reviewedMelissa Page; Catherine Snyder; Kathy Dowell – Grantee Submission, 2024
PREPARE, implemented by High Point University, was a Teacher Quality Partnership grant offering a Master of Education for elementary education, secondary mathematics, and special education (in grant years 2-5). The residency model included a living wage stipend to support time spent earning the accelerated master's degree. The PREPARE impact…
Descriptors: Teacher Education Programs, Teacher Evaluation, Program Evaluation, Beginning Teachers
Sandra M. Chafouleas; Dakota W. Cintron; Jessica B. Koslouski; Amy M. Briesch; D. Betsy McCoach; Jennifer N. Dineen – Grantee Submission, 2024
Introduction: Leadership support has been identified as a key facilitator to successful implementation of school-based initiatives. School leadership contributions to student academic success and school reform have been documented, but less work has focused on the effects of leadership on school mental health initiatives such as social, emotional,…
Descriptors: School Districts, School Administration, Administrator Attitudes, Student Needs
Tiffany Wu; Christina Weiland; Meghan McCormick; JoAnn Hsueh; Catherine Snow; Jason Sachs – Grantee Submission, 2024
The Hearts and Flowers (H&F) task is a computerized executive functioning (EF) assessment that has been used to measure EF from early childhood to adulthood. It provides data on accuracy and reaction time (RT) across three different task blocks (hearts, flowers, and mixed). However, there is a lack of consensus in the field on how to score the…
Descriptors: Scoring, Executive Function, Kindergarten, Young Children
Christopher Lopata; Marcus L. Thomeer; Jonathan D. Rodgers; James P. Donnelly; Jennifer Lodi-Smith – Grantee Submission, 2024
Purpose: A prior randomized trial found a school social intervention yielded significantly better outcomes (social and autism features) immediately following intervention compared to typical school programming (services-as-usual [SAU]) for children on the autism spectrum. In that study, children in the SAU condition subsequently completed a summer…
Descriptors: Autism Spectrum Disorders, Intervention, Outcomes of Education, Children
Amanda B. Nickerson; Margaret E. Manges; Julianna Casella; Yingqi Huang; Jennifer A. Livingston; Lyndsay N. Jenkins; Gina M. Bellavia; Thomas H. Feeley – Grantee Submission, 2024
The goal of the current pilot study was to examine the effects of bystander intervention training on a sample of 27 high school students who were selected by their peers as opinion leaders. Measures of bystander intervention knowledge, attitudes, and behaviors were included in the within-subjects design. Sixteen of the students also participated…
Descriptors: Intervention, Bullying, Sexual Harassment, Pilot Projects
Peer reviewedParian Haghighat; Denisa Gandara; Lulu Kang; Hadis Anahideh – Grantee Submission, 2024
Predictive analytics is widely used in various domains, including education, to inform decision-making and improve outcomes. However, many predictive models are proprietary and inaccessible for evaluation or modification by researchers and practitioners, limiting their accountability and ethical design. Moreover, predictive models are often opaque…
Descriptors: Prediction, Learning Analytics, Multivariate Analysis, Regression (Statistics)
Luke C. Miller – Grantee Submission, 2024
School districts consider many qualifications when deciding whether to hire an individual to teach its students. One qualification is the type of license the applicant holds. The strictness of the eligibility requirements vary across the license types (e.g., level of educational attainment, whether a student teaching experience was completed).…
Descriptors: Public School Teachers, Teacher Certification, COVID-19, Pandemics
Emma R. Dear; Bryce D. McLeod; Nicole M. Peterson; Kevin S. Sutherland; Michael D. Broda; Alex R. Dopp; Aaron R. Lyon – Grantee Submission, 2024
Introduction: Due to usability, feasibility, and acceptability concerns, observational treatment fidelity measures are often challenging to deploy in schools. Teacher self-report fidelity measures with specific design features might address some of these barriers. This case study outlines a community-engaged, iterative process to adapt the…
Descriptors: Measures (Individuals), Data Collection, Observation, Learning Analytics
Matthew T. McCrudden; Linh Huynh; Bailing Lyu; Jonna M. Kulikowich; Danielle S. McNamara – Grantee Submission, 2024
Readers build a mental representation of text during reading. The coherence building processes readers use to build a mental representation during reading is key to comprehension. We examined the effects of self- explanation on coherence building processes as undergraduates (n =51) read five complementary texts about natural selection and…
Descriptors: Reading Processes, Reading Comprehension, Undergraduate Students, Evolution
Dragos-Georgian Corlatescu; Micah Watanabe; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Modeling reading comprehension processes is a critical task for Learning Analytics, as accurate models of the reading process can be used to match students to texts, identify appropriate interventions, and predict learning outcomes. This paper introduces an improved version of the Automated Model of Comprehension, namely version 4.0. AMoC has its…
Descriptors: Computer Software, Artificial Intelligence, Learning Analytics, Natural Language Processing

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