JOURNAL ARTICLE
Teachers' perceptions and lived experiences of challenges in culturally diverse classrooms: establishing an equitable school environment.
Published In: Multicultural Learning & Teaching, 2026, v. 21, n. 1. P. 35 1 of 3
Database: Education Source Ultimate 2 of 3
Authored By: Aydin, Hasan 3 of 3
Abstract
The increasing population of students of color in public school settings in the United States is a persistent challenge for White teachers teaching diverse student populations with students from racially, ethnically, culturally, and linguistically diverse families and communities of lower socioeconomic status to make learning more effective in their classrooms. This qualitative study aimed to identify the challenges in teaching students of diverse backgrounds in public school settings in a school district in Houston, the most ethnically diverse large metropolitan area in the United States. The study focused on the lived experiences with in-depth and semi-structured interviews conducted with 7 participants (6 females; 1 male) to gain insights into their perspectives and understand the essence of their experiences. The findings showed that the lack of language proficiency and trained teachers in culturally responsive teaching often create barriers to effective schooling. The findings emphasize the importance of culturally responsive teaching to prepare highly effective teachers to address the needs of an increasingly diverse student population in the United States. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Multicultural Learning & Teaching. 2026/01, Vol. 21, Issue 1, p35
- Document Type:Article
- Subject Area:Education
- Publication Date:2026
- ISSN:21612412
- DOI:10.1515/mlt-2023-0028
- Accession Number:190673667
- Copyright Statement:Copyright of Multicultural Learning & Teaching is the property of De Gruyter 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.