cs.CYApr 8, 2026

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

Authors: Lief Esbenshade, Alex Liu, Michael Xiao, Zewei Tian, Min Sun, Zachary Zhang, Thomas Han, Yulia Lapicus, 

Organizations: University of Washington · Colleague AI

Abstract

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.

Figures & tables

Explore similar work

CardsList
  1. Grounding AI-in-Education Development in Teachers' Voices: Findings from a National Survey in Indonesia

    Apr 2, 2026Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat +1AI in Education

  2. How K-12 Teachers Adapt Generative AI to Local Classroom Demands: Cultural Distance Between GenAI Defaults and Everyday Teaching Practices

    Sep 13, 2025Qing Xiao, Ruiwei Xiao, Hanqi Jane Li +4Generative AI in EducationGenerative AI Adoption

  3. Edustories: A Collection of Real-world Case Studies from Classroom Practices

    Sep 17, 2026Michal Štefánik, Jan Nehyba, Jirina Karasova +4AI in EducationEducational Data Mining