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Revere board reopens AI policy review, urges working group and clearer classroom rules
Summary
Trustees said the district's 2023 artificial-intelligence policy needs more detail on definitions, student privacy and teacher-level expectations, and asked staff to form a broader technology work group including teachers and students.
Trustees at the Revere Local Board of Education work session on March 10 said the district's current artificial-intelligence policy is a useful starting point but lacks the detail needed for consistent classroom application. The board asked staff to form a stakeholder work group and return with proposed clarifications.
Board members said the 2023 policy places too much onus on students and does not clearly define acceptable classroom use. "Students shouldn't be second-guessing — the teachers need to be clear about what those expectations are," a board member said, urging that teachers outline use per assignment.
The discussion compared the district policy to the Ohio Department of Education's model, which includes an AI definition, a recommended stakeholder work group and AI-literacy components. Trustees highlighted three priorities: clear teacher expectations on each assignment, safeguards for student work and privacy, and regular review as AI rapidly evolves.
District staff noted local practice already gives teachers discretion while recommending clearer implementation steps be put in place. They described a teacher survey and professional-development work done this year; one staff member reported 43 survey responses in the first 24 hours showing a wide range of teacher familiarity and use.
Several trustees pushed for an AI/technology working group that would include teachers, students and administrators to craft guidance that can be updated frequently. "This policy needs to be revisited pretty regularly because things are changing," a trustee said.
Next steps: the board agreed to pull the AI policy from first-reading consideration and direct staff to develop a more comprehensive draft, including proposed language requiring teachers to communicate assignment-specific AI expectations and a suggested schedule for periodic review.
