Back

Children learning Mongolian as an additional language through the implementation of a task-based approach.

  • Published In: IRAL: International Review of Applied Linguistics in Language Teaching, 2025, v. 63, n. 3. P. 1715 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Oliver, Rhonda; Bogachenko, Tetiana; Dovchin, Sender 3 of 3

Abstract

This study was undertaken at a Mongolian community language school which aims to support Mongolian heritage children to learn their home language and culture. The learners were aged 4–15 years with diverse abilities in the Mongolian language. Informed by both purpose-developed Needs and Interest Analyses, a task-based language teaching (TBLT) program was developed and implemented over a six-month period. To evaluate the usefulness of this, two methods were utilised. Firstly, learners' task-based interactions were recorded regularly, transcribed and qualitatively analysed. Secondly, stakeholder feedback was elicited via interviews. The findings showed that the learners interacted in ways facilitative of second language acquisition (i.e., they received abundant input, used a variety of interactive strategies, provided peer scaffolding, and modified their output according to the feedback). They also engaged in translanguaging to support their understanding and meaning making. Stakeholder feedback pointed to some challenges, but also many positive outcomes. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:IRAL: International Review of Applied Linguistics in Language Teaching. 2025/09, Vol. 63, Issue 3, p1715
  • Document Type:Article
  • Subject Area:Language and Linguistics
  • Publication Date:2025
  • ISSN:0019-042X
  • DOI:10.1515/iral-2024-0157
  • Accession Number:188028665
  • Copyright Statement:Copyright of IRAL: International Review of Applied Linguistics in Language 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.