Using Generative Artificial Intelligence to Support Secondary Students’ Cognitive Processes in Writing

ABSTRACT While the benefits of generative artificial intelligence (GenAI) in supporting various cognitive processes in writing have been documented, most research has examined single stages of the writing process and focused on university students. This study addresses this gap by developing a domain‐specific GenAI chatbot and embedding it within a process‐based writing instruction (PBWI) program to explore its effectiveness and challenges in supporting secondary students’ Chinese writing across the three cognitive stages. A total of 100 first‐year secondary students participated in three conditions: the experimental group received PBWI with GenAI chatbot support, the control group received PBWI without GenAI, and the baseline group continued product‐based instruction. Data from writing tasks, questionnaires, and interviews were analyzed using a mixed‐methods approach. Results indicated that students reported benefits of the GenAI chatbot in supporting their writing across the three cognitive stages, as well as in both lower‐ and higher‐level aspects of writing. However, their performance outcomes did not significantly exceed those of the control group, likely owing to the added cognitive load of managing both PBWI and GenAI use. Students nonetheless expressed a strong intention to continue using the chatbot and reported enhanced confidence and motivation. These findings highlight both the promise and limitations of integrating GenAI into writing instruction and provide insights into the design of pedagogical frameworks that combine PBWI with tailored GenAI tools at the secondary level.

Authors

Institutions

Publication Details

Journal
International Journal of Applied Linguistics
Published
2026-07-23
DOI
https://doi.org/10.1111/ijal.70320
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using Generative Artificial Intelligence to Support Secondary Students’ Cognitive Processes in Writing

Thomas K. F. Chiu, Yu Ka Wong, Kit‐ling Lau
International Journal of Applied Linguistics
AI in Service Interactions
article

Using Generative Artificial Intelligence to Support Secondary Students’ Cognitive Processes in Writing

Thomas K. F. Chiu, Yu Ka Wong, Kit‐ling Lau
article en

Abstract

ABSTRACT While the benefits of generative artificial intelligence (GenAI) in supporting various cognitive processes in writing have been documented, most research has examined single stages of the writing process and focused on university students. This study addresses this gap by developing a domain‐specific GenAI chatbot and embedding it within a process‐based writing instruction (PBWI) program to explore its effectiveness and challenges in supporting secondary students’ Chinese writing across the three cognitive stages. A total of 100 first‐year secondary students participated in three conditions: the experimental group received PBWI with GenAI chatbot support, the control group received PBWI without GenAI, and the baseline group continued product‐based instruction. Data from writing tasks, questionnaires, and interviews were analyzed using a mixed‐methods approach. Results indicated that students reported benefits of the GenAI chatbot in supporting their writing across the three cognitive stages, as well as in both lower‐ and higher‐level aspects of writing. However, their performance outcomes did not significantly exceed those of the control group, likely owing to the added cognitive load of managing both PBWI and GenAI use. Students nonetheless expressed a strong intention to continue using the chatbot and reported enhanced confidence and motivation. These findings highlight both the promise and limitations of integrating GenAI into writing instruction and provide insights into the design of pedagogical frameworks that combine PBWI with tailored GenAI tools at the secondary level.

International Journal of Applied Linguistics
Chinese University of Hong Kong (HK), University of Glasgow (GB)
Quality Education
Openalex Percentile: Top 6%
AI in Service Interactions
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.

Using Generative Artificial Intelligence to Support Secondary Students’ Cognitive Processes in Writing — Thomas K. F. Chiu, Yu Ka Wong, et al. · International Journal of Applied Linguistics (2026) | TGRS Research Map | TGRS