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

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Esbenshade, Lief, Liu, Alex, Xiao, Michael, Tian, Zewei, Sun, Min, Zhang, Zachary, Han, Thomas, Lapicus, Yulia, He, Kevin
Natura: Preprint
Pubblicazione: 2026
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866910224565141504
author Esbenshade, Lief
Liu, Alex
Xiao, Michael
Tian, Zewei
Sun, Min
Zhang, Zachary
Han, Thomas
Lapicus, Yulia
He, Kevin
author_facet Esbenshade, Lief
Liu, Alex
Xiao, Michael
Tian, Zewei
Sun, Min
Zhang, Zachary
Han, Thomas
Lapicus, Yulia
He, Kevin
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2605_16277
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Generative AI in K-12 Classrooms: A Midyear Implementation Report
Esbenshade, Lief
Liu, Alex
Xiao, Michael
Tian, Zewei
Sun, Min
Zhang, Zachary
Han, Thomas
Lapicus, Yulia
He, Kevin
Computers and Society
Artificial Intelligence
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.
title Generative AI in K-12 Classrooms: A Midyear Implementation Report
topic Computers and Society
Artificial Intelligence
url https://arxiv.org/abs/2605.16277