IDEAS home Printed from https://ideas.repec.org/a/jfr/wjel11/v15y2025i5p171.html
   My bibliography  Save this article

L1-Induced Grammatical Errors Affecting Saudi Female EFL Students' Academic Writing: A Cross-Linguistic Study of Arabic Language Interference

Author

Listed:
  • Yara Abdullah Aljuraifani
  • Zaha Munahi Alanazi

Abstract

The influence of native language on second language learning has long been a hot topic in the fields of psychology and linguistics. Grammatical errors in EFL students' academic writing, specifically influenced by their mother tongue, are not a new phenomenon but rather an enduring one. This research examined the grammatical errors in Saudi EFL students' writing and evaluated whether these errors are daunting for learners due to L1 influence. Furthermore, it aimed to identify the underlying reasons for these errors and propose strategies for addressing this pinpointed issue. A mixed-methods approach was utilised in this study. An error analysis was conducted on thirty-two student essays, supplemented by a contrastive analysis to examine the distinctions between Arabic and English and to identify potential sources of interlanguage errors. A set of semi-structured interviews was conducted with six advanced female students to explore the extent to which L1 transfer influenced the errors predicted by the contrastive analysis. Results demonstrated that interlingual errors accounted for a higher percentage at 58.09% compared to intralingual errors at 41.91%, underscoring the significant impact of the mother tongue on L2 learning and writing. Interview analysis unveiled a noteworthy finding- the learners' mother tongue continues to have a pivotal impact on grammatical errors; L1-influenced grammatical errors could be attributed, at least in part, to a deficiency in Contrastive Linguistics (CL)-informed instruction.

Suggested Citation

  • Yara Abdullah Aljuraifani & Zaha Munahi Alanazi, 2025. "L1-Induced Grammatical Errors Affecting Saudi Female EFL Students' Academic Writing: A Cross-Linguistic Study of Arabic Language Interference," World Journal of English Language, Sciedu Press, vol. 15(5), pages 171-171, September.
  • Handle: RePEc:jfr:wjel11:v:15:y:2025:i:5:p:171
    as

    Download full text from publisher

    File URL: https://www.sciedupress.com/journal/index.php/wjel/article/download/27596/16904
    Download Restriction: no

    File URL: https://www.sciedupress.com/journal/index.php/wjel/article/view/27596
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jfr:wjel11:v:15:y:2025:i:5:p:171. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sciedu Press (email available below). General contact details of provider: http://wjel.sciedupress.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.