JOURNAL ARTICLE

Teaching linguistics through language construction: A project-based approach.

  • Published In: Pedagogical Linguistics, 2023, v. 4, n. 2. P. 119 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Köylü, Yılmaz 3 of 3

Abstract

This article details how introductory linguistics courses can increase student engagement and learning through a project-based approach, whereby the students first study the subfields of linguistics with a view to complete the main project of the course, namely to construct a novel language. I provide information from a semester-long course with specific project-based activities teachers could utilize in their classes. I also thoroughly examine the constructed language projects based on 33 student submissions in an introductory linguistics course in the US. The analysis indicates a high level of engagement and creativity by the students in creating a distinct orthography, phonetic, morphological, and syntactic rules and semantic properties for their constructed languages. The results from a 20-item questionnaire and student exit interviews indicate that the project-based approach adopted in the completion of their constructed languages proved effective in (a) improving student motivation and engagement; (b) helping students apply the knowledge of the material to carry out linguistic analysis; (c) enhancing students' language learning skills; (d) encouraging them to study additional foreign languages; and finally (e) promoting linguistic diversity. Hence, as an innovative and effective method still in its infancy, project-based learning should be more widely implemented in linguistics instruction. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Pedagogical Linguistics. 2023/07, Vol. 4, Issue 2, p119
  • Document Type:Article
  • Subject Area:Education
  • Publication Date:2023
  • ISSN:2665-9581
  • DOI:10.1075/pl.21013.koy
  • Accession Number:164178774
  • Copyright Statement:Copyright of Pedagogical Linguistics 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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