Early childhood learning and development publications
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Building Better Early Care and Education Systems for Children in Foster Care: Opportunities for Head Start
This brief presents findings from focus group discussions with staff Head Start programs across Arkansas about strategies for enrolling and supporting children in foster care in Head Start.
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Opening the Classroom Door: Can AI Improve Understanding of Pre-K Experiences
This study explores the feasibility of AI models in identifying instructional groupings and academic content in pre-K classroom video recordings to understand classroom activities. The research team interviewed teachers, instructional coaches,…
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Developing an AI-Supported Approach to Identify Instructional Groupings in Early Childhood Education Classrooms
This technical white paper examines the feasibility of using AI-supported approaches to automatically identify instructional groupings (e.g., small group, whole group) in pre-K classroom video recordings. The research team developed…
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Developing an AI Model to Identify Math and Literacy Instruction in Early Childhood Education Classrooms
This technical white paper explores the feasibility of using AI and classroom video to automatically detect math and literacy instructional moments in pre-K settings. Building on SRI’s existing models, originally…
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Portraits of Dual Language Learner Communities in Head Start
SRI Education identified portraits of neighborhood, classroom, and family characteristics of dual language learners attending Head Start across the U.S.
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Evaluation of a Playful, Learning-Rich Story Trails Pilot in Philadelphia: Final Report
SRI Education conducted a formative evaluation of a playful, learning-rich Story Trails pilot in Philadelphia, focusing on implementation and how families use the Story Trails.
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Missing Out on What Matters: Early Care and Education Quality and Stability Gaps for Children in Foster Care
This brief presents findings about the quality and stability of early care and education program participation among Arkansas children in foster care.
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A machine learning model to automatically identify fast-paced online videos for children
New AI model flags fast-paced kids’ videos with 85% precision—advancing scalable research on media’s effects and supporting healthier digital play.
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Using the Reimagining Instructional Coaching Framework in the Development of Pre-K Classroom Observation Tools
SRI Education conducted a formative evaluation to examine a new observational tool’s alignment with the Reimagining Instructional Coaching framework.
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Balancing Priorities: Foster Parents’ Child Care Search and Selection Process
This brief presents findings from a foster parent survey about how foster parents navigate the process of finding ECE and the factors they prioritize when selecting an ECE program.
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Early Care and Education Is an Essential Component of the Foster Care System: A View From Arkansas
This brief presents findings from a foster parent survey about the impact of ECE on their ability to accept new foster placements and the challenges they face in searching for…
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Observing Classrooms Through a Digital Lens: Examining the Reliability and Feasibility of Video Observations in Pre-kindergarten Classrooms
The Early Childhood Classroom Observation (ECCO) study was designed to better understand how video recordings can support high-quality measurement of pre-kindergarten classrooms, using two common measures of early learning programs,…