# Generative AI in K-12 Classrooms: A Midyear Implementation Report

arXiv: https://arxiv.org/abs/2605.16277 · HTML: https://mlsanity.com/paper/2605.16277/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 9 references that are in the map.
- First posted on arXiv 8 Apr 2026.

## Builds on (most cited first, 2 of 2)

- [Emerging Patterns of GenAI Use in K-12 Science and Mathematics Education](https://mlsanity.com/paper/2509.10747/) (2025)
- [How K-12 Educators Use AI: LLM-Assisted Qualitative Analysis at Scale](https://mlsanity.com/paper/2507.17985/) (2025)

## Abstract (arXiv)

This mid-year report summarizes teacher use of Colleague AI across 12 Washington State school districts from September 1 to December 31, 2025. Produced jointly by Colleague AI and AmplifyLearn.AI at the University of Washington, this report aggregates platform data and district-provided administrative records to provide an early look at how teachers engaged with AI during the first half of the 2025-26 school year. The districts vary in size from small districts with a few thousand students to large districts with up to thirty thousand students. The districts are rural, suburban, and urban. Only a subset of districts were able to provide mid-year administrative data, and findings that link teachers' use of Colleague AI to student characteristics should be interpreted as preliminary signals.