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District pilots AI-assisted curriculum drafting, stresses teacher review and alignment
Summary
Superintendent Dr. McInerney told the board the district is using AI to generate first drafts of curriculum documents that teacher committees verify and revise; the pilot focuses on language arts this year and math next year, with plans to use a platform called Edu Planet.
Superintendent Dr. McInerney told the Northern Lebanon School District board on Feb. 10 that administrators are piloting the use of artificial intelligence to produce initial drafts of curriculum documents, with teachers retaining final control.
"It was never the intention... to have the machine write the entire curriculum, but really just to use it and give educators or teachers a running start so they have something to start with," Dr. McInerney said. She described a workflow in which AI produces a 'skeleton' draft and teacher committees fact-check and rebuild content to ensure fidelity with Pennsylvania's eligible content and assessment anchors.
The superintendent said accuracy improved when administrators uploaded the district's specific documents and resource tables so the AI would "read this document" rather than pull uncertain external examples. She acknowledged imperfections: "we still had to really check everything," and said nothing entered final documents without teacher review.
Board members asked whether the same approach could generate aligned assessments. Dr. McInerney said yes, describing plans to train grade-level assistants on released state items to help produce teacher-reviewed assessment drafts.
The administration showed a sample table of AI-generated output and said final curriculum materials will be presented through a learning-content platform called Edu Planet so board members will see a formatted product at approval time. The pilot is focused on language arts this year; math is planned for the following year.
The district discussed AI tools used in drafts, including ChatGPT, Claude and Gemini, and the superintendent said she used a multi-step process (one draft in ChatGPT, critique in Claude) to improve output. She emphasized that human expertise remains central in verifying standards and eligible content.
Next steps: continue teacher review, prepare a pilot rollout for the ELA curriculum and bring materials to the board in a formal approval package.
