Abstract
This exploratory study examines how frequently special education teachers use generative AI in their professional practices and identifies factors that influence their adoption patterns. A theory-informed survey was distributed to special education teachers across Wisconsin (N = 314), and results were analyzed using descriptive statistics and ordinal logistic regression to examine trends and patterns related to the frequency of generative AI use and its factors. Findings indicate that special educators are still in an exploratory phase of generative AI use, with fewer than 15% reporting weekly use and fewer than 5% reporting daily use. Special education teachers who regularly use generative AI primarily reported using these tools for content generation and instructional planning. Findings also indicate that teachers’ attitudes toward generative AI, external supports (such as prior training and administrative support), and age significantly influenced their frequency of use. Results from this study highlight the need for structured professional development and robust policy guidance to support ethical and effective AI integration in special education settings. Future research should further explore generative AI's impact on teacher practices and student outcomes, and examine educators' lived experiences to inform best practices in inclusive education.
Keywords
Get full access to this article
View all access options for this article.
References
Supplementary Material
Please find the following supplemental material available below.
For Open Access articles published under a Creative Commons License, all supplemental material carries the same license as the article it is associated with.
For non-Open Access articles published, all supplemental material carries a non-exclusive license, and permission requests for re-use of supplemental material or any part of supplemental material shall be sent directly to the copyright owner as specified in the copyright notice associated with the article.
