From Struggle to Mastery: AI-Powered Writing Skills in ESL Education

Despite reaching intermediate English proficiency, many bilingual secondary students in Colombia struggle with academic writing due to difficulties in organizing ideas and expressing arguments coherently. To address this issue, this study explores the integration of AI-powered tools—Grammarly and ChatGPT—within the Writing Workshop Instructional Model (WWIM) to enhance students’ writing skills. Conducted at a bilingual secondary school, the intervention targeted 10th grade ESL learners and focused on improving grammar accuracy, textual coherence, and organizational structure. Drawing on Galbraith’s model of writing as content generation, the study adopted a design-based research methodology, incorporating iterations of implementation, feedback, and refinement. The results indicate that combining WWIM with AI feedback significantly improved students’ academic writing performance. Learners reported greater confidence and engagement when revising drafts using automated suggestions. These findings highlight the pedagogical potential of integrating AI tools into writing instructions and offer practical implications for enhancing academic writing curricula in secondary ESL contexts.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2025-07-21
DOI
https://doi.org/10.3390/app15148079
Citations
3
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
5.08

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From Struggle to Mastery: AI-Powered Writing Skills in ESL Education

Fabiola Sáez-Delgado, Andrés Chiappe, John Jairo Jaramillo
3 citations
Applied Sciences
Online Learning and Analytics
5.08
article

From Struggle to Mastery: AI-Powered Writing Skills in ESL Education

Fabiola Sáez-Delgado, Andrés Chiappe, John Jairo Jaramillo
article en
3 citations

Abstract

Despite reaching intermediate English proficiency, many bilingual secondary students in Colombia struggle with academic writing due to difficulties in organizing ideas and expressing arguments coherently. To address this issue, this study explores the integration of AI-powered tools—Grammarly and ChatGPT—within the Writing Workshop Instructional Model (WWIM) to enhance students’ writing skills. Conducted at a bilingual secondary school, the intervention targeted 10th grade ESL learners and focused on improving grammar accuracy, textual coherence, and organizational structure. Drawing on Galbraith’s model of writing as content generation, the study adopted a design-based research methodology, incorporating iterations of implementation, feedback, and refinement. The results indicate that combining WWIM with AI feedback significantly improved students’ academic writing performance. Learners reported greater confidence and engagement when revising drafts using automated suggestions. These findings highlight the pedagogical potential of integrating AI tools into writing instructions and offer practical implications for enhancing academic writing curricula in secondary ESL contexts.

Applied SciencesVol. 15(14)
Allegheny Intermediate Unit (US), Universidad de La Sabana (CO), Universidad Católica de la Santísima Concepción (CL)
Universidad de La Sabana
Openalex Percentile: Top 4%
Online Learning and Analytics
5.08
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.