The Impact of data-driven learning on the improvement of grammatical proficiency in the ESL classroom environment

Corpus-based data-driven learning (DDL) is an innovative approach that utilises electronic text collections for linguistic analysis, thereby enhancing teaching practices and learning skills for ESL/EFL students. This innovative method surpasses traditional language teaching approaches. The aim of th...

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Main Authors: Sabina Sultana, Manvender Kaur Sarjit Singh, Rabiul Islam, Hafizah Hajimia
Format: Article
Language:English
Published: Universitas Pendidikan Indonesia 2025-01-01
Series:Indonesian Journal of Applied Linguistics
Subjects:
Online Access:https://ejournal.upi.edu/index.php/IJAL/article/view/71654
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author Sabina Sultana
Manvender Kaur Sarjit Singh
Rabiul Islam
Hafizah Hajimia
author_facet Sabina Sultana
Manvender Kaur Sarjit Singh
Rabiul Islam
Hafizah Hajimia
author_sort Sabina Sultana
collection DOAJ
description Corpus-based data-driven learning (DDL) is an innovative approach that utilises electronic text collections for linguistic analysis, thereby enhancing teaching practices and learning skills for ESL/EFL students. This innovative method surpasses traditional language teaching approaches. The aim of this study was to examine the impact of incorporating corpora in teaching grammatical constructs, specifically subject-verb agreement rules for ESL/EFL students. Furthermore, it examined ESL/EFL students' perceptions of using corpora for grammar instruction. A mixed method research design was employed, collecting both quantitative and qualitative data through triangulation methods. Data collection involved written essays, two timed writing tasks (a pretest and posttest), and an individual semi-structured interviews. Quantitative data were analysed using rubrics and paired samples t-tests, while thematic analyses were applied to the qualitative data. The analysis of the essays revealed that the students made errors in subject-verb agreement. The paired sample t-test revealed a statistically significant p-value (.0010.05), indicating a notable improvement in the students' mastery of  subject verb agreement rules after receiving DDL instruction. In addition, qualitative interview responses indicated that participants held positive opinions about learning through the DDL approach. They described it as enjoyable, fascinating, and challenging, and believed it to be an effective method for acquiring new grammatical skills. The study concluded with recommendations for English Language Teaching (ELT) instructors and curriculum designers.
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spelling doaj-art-c0c4ac08d9e34fed856374d1c7cda5572025-08-20T03:01:29ZengUniversitas Pendidikan IndonesiaIndonesian Journal of Applied Linguistics2301-94682502-67472025-01-0114362664010.17509/ijal.v14i1.7165427927The Impact of data-driven learning on the improvement of grammatical proficiency in the ESL classroom environmentSabina Sultana0Manvender Kaur Sarjit Singh1Rabiul Islam2Hafizah Hajimia3University Utara MalaysiaUniversity Utara MalaysiaUniversity Utara MalaysiaUniversity Utara MalaysiaCorpus-based data-driven learning (DDL) is an innovative approach that utilises electronic text collections for linguistic analysis, thereby enhancing teaching practices and learning skills for ESL/EFL students. This innovative method surpasses traditional language teaching approaches. The aim of this study was to examine the impact of incorporating corpora in teaching grammatical constructs, specifically subject-verb agreement rules for ESL/EFL students. Furthermore, it examined ESL/EFL students' perceptions of using corpora for grammar instruction. A mixed method research design was employed, collecting both quantitative and qualitative data through triangulation methods. Data collection involved written essays, two timed writing tasks (a pretest and posttest), and an individual semi-structured interviews. Quantitative data were analysed using rubrics and paired samples t-tests, while thematic analyses were applied to the qualitative data. The analysis of the essays revealed that the students made errors in subject-verb agreement. The paired sample t-test revealed a statistically significant p-value (.0010.05), indicating a notable improvement in the students' mastery of  subject verb agreement rules after receiving DDL instruction. In addition, qualitative interview responses indicated that participants held positive opinions about learning through the DDL approach. They described it as enjoyable, fascinating, and challenging, and believed it to be an effective method for acquiring new grammatical skills. The study concluded with recommendations for English Language Teaching (ELT) instructors and curriculum designers.https://ejournal.upi.edu/index.php/IJAL/article/view/71654data-driven learningefleslgrammarsubject-verb agreement
spellingShingle Sabina Sultana
Manvender Kaur Sarjit Singh
Rabiul Islam
Hafizah Hajimia
The Impact of data-driven learning on the improvement of grammatical proficiency in the ESL classroom environment
Indonesian Journal of Applied Linguistics
data-driven learning
efl
esl
grammar
subject-verb agreement
title The Impact of data-driven learning on the improvement of grammatical proficiency in the ESL classroom environment
title_full The Impact of data-driven learning on the improvement of grammatical proficiency in the ESL classroom environment
title_fullStr The Impact of data-driven learning on the improvement of grammatical proficiency in the ESL classroom environment
title_full_unstemmed The Impact of data-driven learning on the improvement of grammatical proficiency in the ESL classroom environment
title_short The Impact of data-driven learning on the improvement of grammatical proficiency in the ESL classroom environment
title_sort impact of data driven learning on the improvement of grammatical proficiency in the esl classroom environment
topic data-driven learning
efl
esl
grammar
subject-verb agreement
url https://ejournal.upi.edu/index.php/IJAL/article/view/71654
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