JOURNAL ARTICLE
Experiences of Elementary Students with Complex Support Needs in Segregated Special Education Classrooms: A Mixed Methods Study.
Published In: Research & Practice for Persons with Severe Disabilities, 2025, v. 50, n. 1. P. 66 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Kurth, Jennifer A.; Lockman Turner, Elissa; Zagona, Alison L.; Kim, Geonhwa; Loyless, Roxanne 3 of 3
Abstract
This article examines the day-to-day experiences of elementary students with complex support needs—defined as students eligible for alternate state assessments due to significant cognitive disabilities—in segregated (self-contained) special education classrooms across multiple U.S. regions. Using a convergent parallel mixed methods design with time sampling and qualitative fieldnotes, the study found that these students spent substantial time in passive or non-academic activities, engaged primarily with paraprofessionals rather than licensed teachers, and had limited access to grade-appropriate materials or peer interactions. The curriculum and instructional activities were largely age-inappropriate, repetitive across grades, and focused on basic skills or non-curricular tasks, raising questions about the justification for segregated placement given federal mandates for least restrictive environments. The findings suggest that segregated classrooms often do not provide the intensive, individualized instruction assumed to benefit these students and highlight the need for reconsideration of placement decisions, increased access to inclusive general education settings, and further research on instructional practices and team decision-making.
Additional Information
- Source:Research & Practice for Persons with Severe Disabilities. 2025/03, Vol. 50, Issue 1, p66
- Document Type:Article
- Subject Area:Education
- Publication Date:2025
- ISSN:1540-7969
- DOI:10.1177/15407969241267283
- Accession Number:182950066
- Copyright Statement:Copyright of Research & Practice for Persons with Severe 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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