Katalog Plus
Bibliothek der Frankfurt UAS
Bald neuer Katalog: sichern Sie sich schon vorab Ihre persönlichen Merklisten im Nutzerkonto: Anleitung.
Dieses Ergebnis aus ERIC kann Gästen nicht angezeigt werden.  Login für vollen Zugriff.

Education Governance and Race: An Analysis of School Board Discourse Using Large Language Models. EdWorkingPaper No. 25-1175

Title: Education Governance and Race: An Analysis of School Board Discourse Using Large Language Models. EdWorkingPaper No. 25-1175
Language: English
Authors: Kylie L. Anglin; Alvin Christian; Brian A. Jacob; John D. Singleton; Annenberg Institute for School Reform at Brown University
Source: Annenberg Institute for School Reform at Brown University. 2025.
Availability: Annenberg Institute for School Reform at Brown University. Brown University Box 1985, Providence, RI 02912. Tel: 401-863-7990; Fax: 401-863-1290; e-mail: annenberg@brown.edu; Web site: https://annenberg.brown.edu/
Peer Reviewed: N
Page Count: 49
Publication Date: 2025
Document Type: Reports - Research
Descriptors: Boards of Education; Board of Education Role; Governance; Race; Discussion; Diversity; Critical Race Theory; School Districts; Attitudes; Ethnicity; Racial Factors
Abstract: Despite growing attention to school boards, it is unclear whether they primarily operate as bureaucratic forums, policy-making bodies, or arenas for contentious debate--particularly on issues of race. Recent controversies suggest increasing public engagement and conflict, but little evidence documents how often questions of race arise in board deliberations. This study analyzes over 40,000 meeting minutes from 2018-2022 to examine the prevalence, framing, and drivers of race-related discourse. Using large language models, natural language processing, and human coding, we find that race-related conversations are relatively uncommon but responsive to national events, particularly in politically competitive, suburban districts. Our analysis highlights the variable nature of local governance and the value of meeting minutes and computational tools for understanding this variability.
Abstractor: As Provided
Entry Date: 2025
Accession Number: ED674067
Database: ERIC