Kettering unveils draft AI playbook for classrooms; recommends green/yellow/red rules and clearer teacher guidance
April 08, 2026 | Kettering City School District, School Districts, Ohio
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The board reviewed a draft artificial‑intelligence playbook district staff have been developing to guide classroom and community use of AI tools. Mr. Brown said the district has worked on the project for about two years, ran an AI cohort of roughly 30 teachers and is testing a short demo version of the playbook to collect feedback from teachers, students and parents.
Mr. Brown cited internal listening sessions and roughly 1,000 survey responses gathered from staff, students and families; he said students told the district they worry classmates who use AI could gain unfair advantages and that AI detectors can produce false positives, particularly for English‑language learners. To illustrate, Mr. Brown read a classroom scenario in which a student named Jaylen used AI as a tutor, revised his draft and had the final work flagged by the district's detection tool at a 68% probability of AI generated content, prompting uncertainty about whether policy had been violated.
The playbook draft recommends a three‑tier classification for assignments: green (AI encouraged, e.g., brainstorming or accessibility supports), yellow (AI allowed with teacher permission and specific guidance), and red (AI prohibited for that assignment). Mr. Brown said the approach is intended to make expectations explicit for students, parents and teachers and to reduce inconsistent application across classrooms. He also noted the district uses a paid Google Gemini configuration with data protections that keep student data in the district environment.
Board members asked about teacher preparation and whether universities are embedding AI training; presenters said higher education programs are having similar conversations and that the district's goal is to have graduates who are literate in AI over time. Mr. Brown said next steps include further listening sessions and circulating the longer (29‑page) playbook to teachers and parents for input.
No policy was adopted at the meeting; the playbook remains a draft for review.
Mr. Brown cited internal listening sessions and roughly 1,000 survey responses gathered from staff, students and families; he said students told the district they worry classmates who use AI could gain unfair advantages and that AI detectors can produce false positives, particularly for English‑language learners. To illustrate, Mr. Brown read a classroom scenario in which a student named Jaylen used AI as a tutor, revised his draft and had the final work flagged by the district's detection tool at a 68% probability of AI generated content, prompting uncertainty about whether policy had been violated.
The playbook draft recommends a three‑tier classification for assignments: green (AI encouraged, e.g., brainstorming or accessibility supports), yellow (AI allowed with teacher permission and specific guidance), and red (AI prohibited for that assignment). Mr. Brown said the approach is intended to make expectations explicit for students, parents and teachers and to reduce inconsistent application across classrooms. He also noted the district uses a paid Google Gemini configuration with data protections that keep student data in the district environment.
Board members asked about teacher preparation and whether universities are embedding AI training; presenters said higher education programs are having similar conversations and that the district's goal is to have graduates who are literate in AI over time. Mr. Brown said next steps include further listening sessions and circulating the longer (29‑page) playbook to teachers and parents for input.
No policy was adopted at the meeting; the playbook remains a draft for review.
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