JOURNAL ARTICLE

Translanguaging enjoyment in Thai university classrooms: A Q methodology approach to Chinese language learning.

  • Published In: Journal of Asian Pacific Communication (John Benjamins Publishing Co.), 2026, v. 36, n. 1. P. 107 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Wang, Feiyan; Chen, Chen 3 of 3

Abstract

Translanguaging has emerged as a powerful pedagogical tool in multilingual education, yet its emotional dimensions remain underexplored. This study examines how Thai university students perceive translanguaging enjoyment in Chinese elective classes using Q methodology. Fifty-two undergraduate students participated in Q sorting, followed by semi-structured interviews to provide qualitative insights. Factor analysis identified three distinct perspectives on translanguaging enjoyment: (1) emotional engagement, which highlights reduced anxiety and increased participation, (2) cognitive benefits, emphasizing comprehension and metalinguistic awareness, and (3) individualized multimodal strategies, where learners integrate gestures, symbols, and digital tools. Findings suggest that translanguaging fosters both affective and cognitive engagement, reinforcing the role of positive emotions in language learning. The study offers pedagogical recommendations for incorporating structured translanguaging strategies, multimodal resources, and emotionally supportive classrooms. Additionally, policy implications highlight the need for flexible language policies and teacher training programs that embrace multilingualism. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Asian Pacific Communication (John Benjamins Publishing Co.). 2026/01, Vol. 36, Issue 1, p107
  • Document Type:Article
  • Subject Area:Language and Linguistics
  • Publication Date:2026
  • ISSN:0957-6851
  • DOI:10.1075/japc.25029.wan
  • Accession Number:192160285
  • Copyright Statement:Copyright of Journal of Asian Pacific Communication (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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