Collaborator or Accomplice? A National Examination of Artificial Intelligence (AI) in School District Discipline Policy

Artificial intelligence (AI) has become a regular part of K-12 education, being used by students and educators. While AI has many potential benefits, there are concerns that AI may be misused—from academic dishonesty to inappropriate technology use—resulting in school disciplinary responses. This study reports the findings of a nationally representative study of school district student handbooks and their codes of conduct. The findings show that nearly two thirds of school districts do not reference AI in their student handbooks, leaving students without clear guidance on the appropriate use of and potential discipline of misuse of AI. References to AI in handbooks vary across district demographics, with more racially diverse and economically disadvantaged districts less likely to reference AI. The study concludes with a discussion of exemplar integrations of AI into handbooks and a discussion of the legal and policy impetus to integrate AI into discipline policy.

Authors

Institutions

Publication Details

Journal
Educational Policy
Published
2026-06-25
DOI
https://doi.org/10.1177/08959048261461456
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Collaborator or Accomplice? A National Examination of Artificial Intelligence (AI) in School District Discipline Policy

F. Chris Curran, Pinyi Wang, Jiyeon Goo, Swasthi Maharaj et al.
Educational Policy
Ethics and Social Impacts of AI
article

Collaborator or Accomplice? A National Examination of Artificial Intelligence (AI) in School District Discipline Policy

F. Chris Curran, Pinyi Wang, Jiyeon Goo, Swasthi Maharaj, Christopher Thomas, Kylie Moylan
article en

Abstract

Artificial intelligence (AI) has become a regular part of K-12 education, being used by students and educators. While AI has many potential benefits, there are concerns that AI may be misused—from academic dishonesty to inappropriate technology use—resulting in school disciplinary responses. This study reports the findings of a nationally representative study of school district student handbooks and their codes of conduct. The findings show that nearly two thirds of school districts do not reference AI in their student handbooks, leaving students without clear guidance on the appropriate use of and potential discipline of misuse of AI. References to AI in handbooks vary across district demographics, with more racially diverse and economically disadvantaged districts less likely to reference AI. The study concludes with a discussion of exemplar integrations of AI into handbooks and a discussion of the legal and policy impetus to integrate AI into discipline policy.

Educational Policy
University of Florida (US)
Quality Education
Openalex Percentile: Top 5%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.