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Jacob Whitehill; Jennifer LoCasale-Crouch – Journal of Educational Data Mining, 2024
With the aim to provide teachers with more specific, frequent, and actionable feedback about their teaching, we explore how Large Language Models (LLMs) can be used to estimate "Instructional Support" domain scores of the CLassroom Assessment Scoring System (CLASS), a widely used observation protocol. We design a machine learning…
Descriptors: Artificial Intelligence, Teacher Evaluation, Models, Transcripts (Written Records)
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Jiahong Su; Weipeng Yang – Interactive Learning Environments, 2024
Guided by a sociocultural perspective, this study aims to explore the views of kindergarten teachers on ChatGPT, its potential benefits and challenges in education, and the support and training required for effective implementation. The study involved 10 teachers from several kindergartens in Hong Kong. Face-to-face interviews were conducted. The…
Descriptors: Preschool Teachers, Kindergarten, Teacher Attitudes, Artificial Intelligence
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Neuman, Susan B.; Wong, Kevin M.; Kaefer, Tanya – Reading and Writing: An Interdisciplinary Journal, 2017
The purpose of this study was to investigate the influence of digital and non-digital storybooks on low-income preschoolers' oral language comprehension. Employing a within-subject design on 38 four-year-olds from a Head Start program, we compared the effect of medium on preschoolers' target words and comprehension of stories. Four digital…
Descriptors: Reading Comprehension, Statistical Analysis, Preschool Education, Disadvantaged Youth