Opening the Classroom Door: Can AI Improve Understanding of Pre-K Experiences? Final Report

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Title: Opening the Classroom Door: Can AI Improve Understanding of Pre-K Experiences? Final Report
Language: English
Authors: Leigh Ann DeLyser, Sarah Gerard, Gullnar Sy, Jennifer Nakamura, SRI Education
Source: SRI Education, a Division of 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: 21
Publication Date: 2025
Sponsoring Agency: Gates Foundation
Document Type: Reports - Research
Education Level: Early Childhood Education
Preschool Education
Descriptors: Video Technology, Artificial Intelligence, Technology Uses in Education, Teacher Attitudes, Coaching (Performance), Computer Attitudes, Grouping (Instructional Purposes), Mathematics Instruction, Literacy, Preschool Education, Identification, Documentation, Stakeholders, Automation
Abstract: High-quality early childhood classrooms provide children with a nurturing environment to develop their physical, social, and academic capabilities. All day the classroom is in motion: children move from whole-group morning meeting to centers and then to math small groups. Additionally, while subject-specific instruction (e.g., literacy or mathematics) is typically scheduled for specific blocks of time, there are opportunities for teachable moments all day. Teachers and instructional coaches may benefit from understanding how these moments are spent to improve practice. 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, and technology developers to understand their perceptions of artificial intelligence to support early learning. Findings highlight the promise and limitations of current AI approaches and offer recommendations for advancing reliable tools for early learning settings.
Abstractor: As Provided
Entry Date: 2026
Accession Number: ED679867
Database: ERIC
FullText Text:
  Availability: 0
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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: High-quality early childhood classrooms provide children with a nurturing environment to develop their physical, social, and academic capabilities. All day the classroom is in motion: children move from whole-group morning meeting to centers and then to math small groups. Additionally, while subject-specific instruction (e.g., literacy or mathematics) is typically scheduled for specific blocks of time, there are opportunities for teachable moments all day. Teachers and instructional coaches may benefit from understanding how these moments are spent to improve practice. 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, and technology developers to understand their perceptions of artificial intelligence to support early learning. Findings highlight the promise and limitations of current AI approaches and offer recommendations for advancing reliable tools for early learning settings.
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  Data: 2026
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  Data: ED679867
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED679867
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
    Subjects:
      – SubjectFull: Video Technology
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Teacher Attitudes
        Type: general
      – SubjectFull: Coaching (Performance)
        Type: general
      – SubjectFull: Computer Attitudes
        Type: general
      – SubjectFull: Grouping (Instructional Purposes)
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      – SubjectFull: Mathematics Instruction
        Type: general
      – SubjectFull: Literacy
        Type: general
      – SubjectFull: Preschool Education
        Type: general
      – SubjectFull: Identification
        Type: general
      – SubjectFull: Documentation
        Type: general
      – SubjectFull: Stakeholders
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      – SubjectFull: Automation
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      – TitleFull: Opening the Classroom Door: Can AI Improve Understanding of Pre-K Experiences? Final Report
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            NameFull: Leigh Ann DeLyser
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            NameFull: Gullnar Sy
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            NameFull: Jennifer Nakamura
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              Y: 2025
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