Artificial Intelligence in Global World: A Case Study of Grammarly as e-Tool on ESL Learners’ Writing of Darul Uloom Nadwa

Sohaib Alam, Mohammad Usama, Md Moshabbir Alam, Ismat Jabeen, Farhan Ahmad

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

Studies worldwide have explored how Grammarly as Electronic Tool (e-Tool) assists English as a Second Language (ESL) students in enhancing their writing. The present study aims to improve Madrasa ESL learners’ writing by minimizing inflectional morphemes related errors at Darul Uloom Nadwatul Ulama in Lucknow, Northern part of India. The study participants included sixty-eight Madrasa students who were enrolled in Alimiyat (equivalent to 12th) grade and were formed into two separate groups: an experimental group was treated with Grammarly, while the control group got instruction using the communicative language teaching approach. The data was collected from all participants before and after the treatment. A quantitative approach was used to the analysis of the data. A repeated-measures two-way ANOVA test revealed that Grammarly enhanced ESL learners’ writing for inflectional morphemes following treatment in the experimental group relative to the control group. These findings demonstrate how ‘Grammarly’ as and e-Tool may support ESL writers, especially novel writers who find it challenging to write well in English.

Original languageEnglish
Pages (from-to)1741-1747
Number of pages7
JournalInternational Journal of Information and Education Technology
Volume13
Issue number11
DOIs
StatePublished - Nov 2023

Keywords

  • Artificial intelligence
  • ESL writing
  • Grammarly as e-Tool
  • automated response
  • error analysis

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