JOURNAL ARTICLE
University students' perceptions of team teaching by native and non-native speakers in a Spanish course.
Published In: Spanish Journal of Applied Linguistics / Revista Española de Lingüística Aplicada (John Benjamins Publishing Co.), 2025, v. 38, n. 1. P. 223 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Song, Yerim 3 of 3
Abstract
This study investigated the perceptions of 200 Korean students of Spanish as a foreign language regarding team teaching by a Korean Spanish teacher (KST) and a native Spanish-speaking teacher (NST) in a university Spanish course. The survey focused on the students' views on the weight and demand of learning areas in the lectures, the teaching method and attitude of each instructor, and the advantages and disadvantages of each teacher. The questionnaire asked the students to evaluate the overall team teaching to discern their expectations of the Spanish classes. The results showed that the students had high demands for speaking in both the KST's and NST's classes and indicated the advantages and disadvantages of both types of teachers. A relationship was found between the language proficiency level of the students and their preference for instructors, and the use of the first language was considered positive. Overall, the team teaching was evaluated as ideal. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Spanish Journal of Applied Linguistics / Revista Española de Lingüística Aplicada (John Benjamins Publishing Co.). 2025/01, Vol. 38, Issue 1, p223
- Document Type:Article
- Subject Area:Education
- Publication Date:2025
- ISSN:0213-2028
- DOI:10.1075/resla.22050.son
- Accession Number:182796798
- Copyright Statement:Copyright of Spanish Journal of Applied Linguistics / Revista Española de Lingüística Aplicada (John Benjamins Publishing Co.) is the property of John Benjamins Publishing Co. 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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