At a Weber School District study session, district staff briefed the board on a districtwide rollout of SchoolAI, an artificial‑intelligence platform the district selected to support instruction and teacher planning. The presentation covered pilot results, staff training, privacy protections and a near‑complete staff rollout.
District staff said the district piloted AI with 65 teachers across kindergarten through grade 12 and vetted products through a statewide request for proposals run by the Utah Education Network. “We ran a pilot with 65 of our teachers that was K through 12,” the presenter said, and after surveying participants the district chose the tool most respondents preferred.
The district stressed privacy and safety protections. Jamie Barrows said the district requires data‑protection agreements for any vendor and has a “walled garden” to keep student work inside the district’s system. “We want to make sure our teachers are following all state and federal student privacy laws and not inadvertently putting personally identifiable information into those large language models,” Barrows said. She added that SchoolAI has signed a data processing agreement with the district and that district access is restricted so student data is not shared externally.
Staff also described training and local support: each school has one or two “EdTech coaches” who received Q1 training, library technology specialists were trained, and the curriculum department led sessions during fall professional learning days. Monica Widdison said the tools have reduced teacher workload. “It is saving our teachers tons of time,” she said, noting teachers are using the platform for lesson plans, translation support and targeted tutoring for small groups.
Allen Reese provided adoption figures and short‑term plans. “We are about 1,347 active users, which is right around 87% of the possible staff,” Reese said. Staff said an upcoming administrative dashboard will let building administrators monitor usage and that the district plans to raise adoption among students and create teacher spaces for personalization and shared, common formative assessments.
District staff acknowledged known limitations of generative AI and emphasized human oversight. Barrows summarized the training message: avoid entering student personal information into tools without a DPA, watch for AI bias, and ensure a human reviews substantive outputs such as grades or evaluations.
The board did not take action; presenters said staff will continue training and report back to the board on implementation and uptake.
The presentation is part of an ongoing rollout that district staff said began after a pilot and vendor review process; staff asked board members to direct questions to the digital learning team for demonstrations or follow‑up.