Spanish enrollment decline and students' beliefs and attitudes: Does gender matter?
Published In: Spanish Journal of Applied Linguistics / Revista Española de Lingüística Aplicada (John Benjamins Publishing Co.), 2024, v. 37, n. 1. P. 109 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Balmaceda M., David; Brantmeier, Cindy; Hogrebe, Mark C. 3 of 3
Abstract
Universities across the USA are experiencing a decline in foreign language enrollment and in advanced Spanish courses (Looney & Lusin, 2019; Lusin et al., 2023), with a trend of higher female enrollment (Brantmeier et al., 2019; Chavez, 2001). Literature in Second Language Acquisition and Sociopsychology has studied how beliefs can influence a student's thoughts and actions regarding their decision to enroll in a particular course (Mills & Moulton, 2017; Omrod, 2011; Taylor & Mardsen, 2014). The present study aims to investigate advanced Spanish learners' awareness, beliefs, and attitudes toward four language learning skills and their differences by gender. Overall results indicated that participants from two different advanced Spanish courses had more positive beliefs and attitudes toward speaking and listening than reading and writing. Additionally, a higher proportion of female students had more positive beliefs toward the four skills than male students. Pedagogical implications and future directions on student uptake are suggested in this study. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Spanish Journal of Applied Linguistics / Revista Española de Lingüística Aplicada (John Benjamins Publishing Co.). 2024/01, Vol. 37, Issue 1, p109
- Document Type:Article
- Subject Area:Education
- Publication Date:2024
- ISSN:0213-2028
- DOI:10.1075/resla.21030.bal
- Accession Number:177635263
- 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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