JOURNAL ARTICLE
Assessing the efficacy of online teacher training programs in preparing pre‐service teachers to support students with special educational needs in mainstream classrooms in the UAE: A case study.
Published In: Journal of Research in Special Educational Needs, 2024, v. 24, n. 1. P. 188 1 of 3
Database: Education Source Ultimate 2 of 3
Authored By: Al‐Rashaida, Mohammad; Massouti, Ayman 3 of 3
Abstract
The study aimed to explore the challenges and potential benefits of online delivery in preparing pre‐service teachers in the United Arab Emirates (UAE) for inclusive teaching. The study specifically examined their readiness to assist students with special educational needs (SEN) within the K‐12 education system. It employed semi‐structured interviews to comprehensively understand the perspectives and experiences of 11 pre‐service teachers enrolled in an online teacher education programme. The findings revealed that the participants expressed significant concern about their preparedness to teach students with SEN. They expressed apprehension about the limited opportunities they had during their teacher education programme to learn about and interact with students with SEN. The findings also shed light on the gap between theory and practice, underscoring the importance of contemporary teacher education programmes in re‐evaluating their curricula to address the emerging needs of both learners and teachers, specifically in the post‐pandemic era of COVID‐19. Lastly, the study provided implications for practice and suggested future research in this area. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Research in Special Educational Needs. 2024/01, Vol. 24, Issue 1, p188
- Document Type:Article
- Subject Area:Education
- Publication Date:2024
- ISSN:14713802
- DOI:10.1111/1471-3802.12624
- Accession Number:174634612
- Copyright Statement:Copyright of Journal of Research in Special Educational Needs is the property of Wiley-Blackwell 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.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.