JOURNAL ARTICLE

Teachers of Students With Autism Spectrum Disorder, Intellectual Disability, and Developmental Disability: Supports and Their Intent to Stay in Special Education.

  • Published In: Focus on Autism & Other Developmental Disabilities, 2025, v. 40, n. 3. P. 123 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Layden, Selena J.; Gansle, Kristin A.; Scott, LaRon A. 3 of 3

Abstract

This article examines factors influencing the retention of special education teachers (SETs) in U.S. public schools, focusing specifically on those working with students with autism spectrum disorder (ASD), intellectual disability (ID), and developmental disability (DD). Using survey data from 859 SETs, the study compares novice and experienced teachers’ perceptions of administrator and colleague support, professional development (PD), mentorship, resources, and their intent to stay in the profession. Findings indicate that novice teachers report higher levels of support and greater intent to remain than experienced teachers, while teachers serving students with ASD generally perceive more support across several domains than those working with ID, DD, or other disabilities. Despite differences in perceived support, no significant differences were found in intent to stay among the disability groups, suggesting similar retention challenges across these populations. The study highlights the need for targeted, high-quality supports and further research on how these factors affect retention, especially for teachers serving students with ID and DD.

Additional Information

  • Source:Focus on Autism & Other Developmental Disabilities. 2025/09, Vol. 40, Issue 3, p123
  • Document Type:Article
  • Subject Area:Education
  • Publication Date:2025
  • ISSN:1088-3576
  • DOI:10.1177/10883576251349209
  • Accession Number:187115027
  • Copyright Statement:Copyright of Focus on Autism & Other Developmental Disabilities is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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