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Developing an AI Model to Identify Math & Literacy Instruction in Early Childhood Education Classrooms. Technical White Paper

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Title: Developing an AI Model to Identify Math & Literacy Instruction in Early Childhood Education Classrooms. Technical White Paper
Language: English
Authors: Aravind Sundaresan, Leigh Ann DeLyser, Sarah Gerard, Gullnar Sy, Nancy Perez, John Niekrasz, Claire Christensen, SRI International
Source: SRI International. 2025.
Availability: SRI International. 333 Ravenswood Avenue, Menlo Park, CA 94025. Tel: 650-859-2000; e-mail: customer.service@sri.com; Web site: https://www.sri.com/
Peer Reviewed: N
Page Count: 24
Publication Date: 2025
Sponsoring Agency: Gates Foundation
Document Type: Reports - Research
Education Level: Early Childhood Education
Elementary Education
Kindergarten
Primary Education
Preschool Education
Descriptors: Video Technology, Artificial Intelligence, Technology Uses in Education, Mathematics Instruction, Identification, Automation, Kindergarten, Preschool Education, Literacy Education
Abstract: A high-quality early childhood classroom provides children with a safe and nurturing environment to develop their physical, social, emotional, and academic capabilities. Children may receive literacy instruction during a morning circle story read-aloud, and then later break into small-group instruction focused on comparing quantities of dinosaur toys. Additional instructional moments also arise during informal play and learning, such as children counting off in line to go out to recess. Many early childhood providers use video to support teacher development, classroom observations, or for parents to check in on their children during the day. Researchers from SRI, supported by the Gates Foundation, explored opportunities to leverage AI and video from early childhood classrooms to explore AI-supported approaches to identify when math and literacy instruction happens. The research team used previously developed models that label academic content in YouTube videos, repurposing the models to measure their ability to detect instruction content in classroom settings. This technical white paper describes the research team's approach to automatically identifying academic content, the data, initial model performance, and implications of this work.
Abstractor: As Provided
Entry Date: 2026
Accession Number: ED679864
Database: ERIC
FullText Text:
  Availability: 0
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  Data: Developing an AI Model to Identify Math & Literacy Instruction in Early Childhood Education Classrooms. Technical White Paper
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  Data: <searchLink fieldCode="AR" term="%22Aravind+Sundaresan%22">Aravind Sundaresan</searchLink><br /><searchLink fieldCode="AR" term="%22Leigh+Ann+DeLyser%22">Leigh Ann DeLyser</searchLink><br /><searchLink fieldCode="AR" term="%22Sarah+Gerard%22">Sarah Gerard</searchLink><br /><searchLink fieldCode="AR" term="%22Gullnar+Sy%22">Gullnar Sy</searchLink><br /><searchLink fieldCode="AR" term="%22Nancy+Perez%22">Nancy Perez</searchLink><br /><searchLink fieldCode="AR" term="%22John+Niekrasz%22">John Niekrasz</searchLink><br /><searchLink fieldCode="AR" term="%22Claire+Christensen%22">Claire Christensen</searchLink><br /><searchLink fieldCode="AR" term="%22SRI+International%22">SRI International</searchLink>
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  Data: SRI International. 333 Ravenswood Avenue, Menlo Park, CA 94025. Tel: 650-859-2000; e-mail: customer.service@sri.com; Web site: https://www.sri.com/
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  Data: <searchLink fieldCode="EL" term="%22Early+Childhood+Education%22">Early Childhood Education</searchLink><br /><searchLink fieldCode="EL" term="%22Elementary+Education%22">Elementary Education</searchLink><br /><searchLink fieldCode="EL" term="%22Kindergarten%22">Kindergarten</searchLink><br /><searchLink fieldCode="EL" term="%22Primary+Education%22">Primary Education</searchLink><br /><searchLink fieldCode="EL" term="%22Preschool+Education%22">Preschool Education</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Video+Technology%22">Video Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+Instruction%22">Mathematics Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Identification%22">Identification</searchLink><br /><searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink><br /><searchLink fieldCode="DE" term="%22Kindergarten%22">Kindergarten</searchLink><br /><searchLink fieldCode="DE" term="%22Preschool+Education%22">Preschool Education</searchLink><br /><searchLink fieldCode="DE" term="%22Literacy+Education%22">Literacy Education</searchLink>
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  Label: Abstract
  Group: Ab
  Data: A high-quality early childhood classroom provides children with a safe and nurturing environment to develop their physical, social, emotional, and academic capabilities. Children may receive literacy instruction during a morning circle story read-aloud, and then later break into small-group instruction focused on comparing quantities of dinosaur toys. Additional instructional moments also arise during informal play and learning, such as children counting off in line to go out to recess. Many early childhood providers use video to support teacher development, classroom observations, or for parents to check in on their children during the day. Researchers from SRI, supported by the Gates Foundation, explored opportunities to leverage AI and video from early childhood classrooms to explore AI-supported approaches to identify when math and literacy instruction happens. The research team used previously developed models that label academic content in YouTube videos, repurposing the models to measure their ability to detect instruction content in classroom settings. This technical white paper describes the research team's approach to automatically identifying academic content, the data, initial model performance, and implications of this work.
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  Data: 2026
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  Data: ED679864
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED679864
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      – SubjectFull: Video Technology
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      – SubjectFull: Artificial Intelligence
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      – SubjectFull: Kindergarten
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      – SubjectFull: Preschool Education
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