A Study on Using ChatGPT to Help Students With Dyslexia Learn Chinese and English Writing

Purpose This study investigates the impact of large language models (LLMs), for example, ChatGPT, in inclusive education. Design/Approach/Methods We develop a ChatGPT-assisted writing system, namely CHATTING , to support students with dyslexia in learning to write. Then, we investigate the impact of CHATTING on students’ writing performance (vocabulary size) and their engagement in learning. The study involved 101 students who were divided into an experimental group (learn with CHATTING ) and a control group (learn in traditional classes). The effectiveness of CHATTING in assisting students’ learning is evaluated by measuring students’ learning engagement with open-ended interviews. Findings The results indicate that, with the assistance of CHATTING , students with dyslexia demonstrate positive improvement in behavioral, emotional engagement, and intrinsic motivation, but a minor improvement in cognitive engagement. The study also discusses several opportunities, challenges, and insights for utilizing ChatGPT-assisted learning to enhance students’ learning motivation and provide personalized support for students with dyslexia. Originality/Value This work contributes to inclusive education by developing and evaluating the effectiveness of CHATTING , a ChatGPT-assisted writing system specifically designed for students with dyslexia. The limitations of using generative models in supporting students’ learning in writing are also highlighted.

Authors

Institutions

Publication Details

Journal
ECNU Review of Education
Published
2025-08-10
DOI
https://doi.org/10.1177/20965311251358269
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Study on Using ChatGPT to Help Students With Dyslexia Learn Chinese and English Writing

Shenghui Song, Kuen Fung Sin, Lik‐Hang Lee, Ka Yan Fung et al.
ECNU Review of Education
Online Learning and Analytics
article

A Study on Using ChatGPT to Help Students With Dyslexia Learn Chinese and English Writing

Shenghui Song, Kuen Fung Sin, Lik‐Hang Lee, Ka Yan Fung, Huamin Qu, Rick Tze Leung Lui
article en

Abstract

Purpose This study investigates the impact of large language models (LLMs), for example, ChatGPT, in inclusive education. Design/Approach/Methods We develop a ChatGPT-assisted writing system, namely CHATTING , to support students with dyslexia in learning to write. Then, we investigate the impact of CHATTING on students’ writing performance (vocabulary size) and their engagement in learning. The study involved 101 students who were divided into an experimental group (learn with CHATTING ) and a control group (learn in traditional classes). The effectiveness of CHATTING in assisting students’ learning is evaluated by measuring students’ learning engagement with open-ended interviews. Findings The results indicate that, with the assistance of CHATTING , students with dyslexia demonstrate positive improvement in behavioral, emotional engagement, and intrinsic motivation, but a minor improvement in cognitive engagement. The study also discusses several opportunities, challenges, and insights for utilizing ChatGPT-assisted learning to enhance students’ learning motivation and provide personalized support for students with dyslexia. Originality/Value This work contributes to inclusive education by developing and evaluating the effectiveness of CHATTING , a ChatGPT-assisted writing system specifically designed for students with dyslexia. The limitations of using generative models in supporting students’ learning in writing are also highlighted.

ECNU Review of EducationVol. 9(1)
Hong Kong Polytechnic University (HK), Hong Kong University of Science and Technology (HK), Education University of Hong Kong (HK)
Quality Education
Openalex Percentile: Top 79%
Online Learning and Analytics
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.