Teaching listening for interpreting through mind mapping: Students' attitudes and its effectiveness.
Published In: Spanish Journal of Applied Linguistics / Revista Española de Lingüística Aplicada (John Benjamins Publishing Co.), 2024, v. 37, n. 1. P. 172 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Li, Xiangdong 3 of 3
Abstract
Interpreting scholars claim that mind mapping can be used pedagogically to enhance trainees' interpreting-specific listening skills. However, so far relevant empirical studies have been rare. A single-group post and retrospective self-assessment design was used to examine student interpreters' attitudes towards the use of mind mapping in teaching listening for interpreting and its effectiveness. Eighty-two students were involved as participants. An instruction experience questionnaire was administered at the end of the pedagogical intervention to examine their attitudes towards the mind mapping exercise. Two self-assessments of knowledge and skills were conducted at the end of the pedagogical intervention to investigate their pre-test post-test gains. One was a retrospective self-assessment about their competence before the exercise (then self-assessment) and the other was a post self-assessment about their competence after the exercise (now self-assessment). The results indicate that the participants perceived mind mapping as a positive learning experience and that it was effective in developing students' interpreting-specific listening knowledge and skills. [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, p172
- Document Type:Article
- Subject Area:Education
- Publication Date:2024
- ISSN:0213-2028
- DOI:10.1075/resla.21037.li
- Accession Number:177635268
- 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.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.