Investigating the Impact of Mobile-Assisted Metalinguistic Corrective Feedback on Iranian EFL Learners’ Grammar Proficiency: A Mixed-Methods Approach

This mixed-methods study investigated the effectiveness of Mobile-Assisted Language Learning (MALL)-oriented metalinguistic corrective feedback on grammar proficiency among 48 Iranian EFL learners. Data were collected using a grammar multiple-choice test administered as both pre-test and post-test to quantitatively assess grammatical improvement, alongside semi-structured interviews with a subset of participants to explore their perceptions of the feedback process. The study addressed the challenge of persistent grammatical inaccuracies that hinder effective communication in English and aimed to enhance language acquisition by integrating technology with explicit corrective feedback. Results from statistical analyses revealed significant improvements in grammar proficiency for learners receiving MALL-oriented metalinguistic feedback compared to those receiving conventional instruction. Qualitative findings demonstrated generally positive learner attitudes towards the convenience, interactivity, and clarity provided by the mobile-assisted feedback. These findings highlight the pedagogical potential of combining metalinguistic feedback with mobile technology in EFL education, offering practical implications for curriculum development and instructional practices.

Institutions

Publication Details

Journal
Biannual Journal of Education Experiences تجارب تربیتی
Published
2025-10-02
DOI
https://doi.org/10.71922/jee.2025.1219901
Primary Topic
EFL/ESL Teaching and Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating the Impact of Mobile-Assisted Metalinguistic Corrective Feedback on Iranian EFL Learners’ Grammar Proficiency: A Mixed-Methods Approach

Biannual Journal of Education Experiences تجارب تربیتی
EFL/ESL Teaching and Learning
article

Investigating the Impact of Mobile-Assisted Metalinguistic Corrective Feedback on Iranian EFL Learners’ Grammar Proficiency: A Mixed-Methods Approach

article en

Abstract

This mixed-methods study investigated the effectiveness of Mobile-Assisted Language Learning (MALL)-oriented metalinguistic corrective feedback on grammar proficiency among 48 Iranian EFL learners. Data were collected using a grammar multiple-choice test administered as both pre-test and post-test to quantitatively assess grammatical improvement, alongside semi-structured interviews with a subset of participants to explore their perceptions of the feedback process. The study addressed the challenge of persistent grammatical inaccuracies that hinder effective communication in English and aimed to enhance language acquisition by integrating technology with explicit corrective feedback. Results from statistical analyses revealed significant improvements in grammar proficiency for learners receiving MALL-oriented metalinguistic feedback compared to those receiving conventional instruction. Qualitative findings demonstrated generally positive learner attitudes towards the convenience, interactivity, and clarity provided by the mobile-assisted feedback. These findings highlight the pedagogical potential of combining metalinguistic feedback with mobile technology in EFL education, offering practical implications for curriculum development and instructional practices.

Biannual Journal of Education Experiences تجارب تربیتی
Islamic Azad University of Shiraz (IR)
Quality Education
Openalex Percentile: Top 24%
EFL/ESL Teaching and Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.