Superintendent frames artificial‑intelligence policy as a ‘tinker and learn’ task for district

The Parkrose SD 3 superintendent framed artificial intelligence as a fast‑moving classroom issue and urged the board to treat initial district policy on AI as the start of an iterative process that allows staff time to experiment and build professional capacity.

In an extended presentation, the superintendent described common AI classroom uses—personalized learning, automated feedback, rubric generation and intelligent tutoring—and gave examples of tools currently available to staff and students, including Google Gemini and ChatGPT. The superintendent said staff use cases already include using AI to categorize open‑ended student interview data and to create rubrics and formative feedback more quickly. She also cautioned about bias in models, privacy concerns, workload for staff learning the tools, and the possibility that free tools will later become paid products.

Board members asked about cheating, teaching practice changes and equity. The superintendent said she did not favor blanket bans and that schools should teach students how to use AI responsibly; she suggested shifting assignments toward in‑class demonstrations of student knowledge and designing tasks that require authentic student work rather than take‑home essays that can be generated by large language models.

Staff recommended pilot projects, summer professional development, and student involvement in policy design. No formal policy was adopted; the presentation was framed as an initial briefing the board will revisit as staff develop draft policy language and training plans.