Author: Leigh Ann DeLyser
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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, 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…
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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 a codebook, conducted human annotations and evaluated large language models using OpenAI’s GPT-4.1-mini and GPT-5 mini on the automatic identification task. Findings demonstrate promising early…
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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 developed to identify academic content in YouTube video, this study applied a multimodal machine learning framework to pre-K classroom video recordings. Included are details on…