A large-scale mixed-methods study of Japanese university students’ use of ChatGPT for L2 learning

This mixed-methods paper reports on the adoption of ChatGPT for L2 learning at university level in Japan. It presents data from an online questionnaire conducted with 2,521 Japanese undergraduate students who studied English (n = 2,519) and other L2s (n = 1,881). Quantitative data revealed that approximately half had used ChatGPT for language study, mainly to assist with writing, vocabulary, and grammar. Some had used it only for classwork, homework, or self-study, while others used it for a combination of these purposes. Thematic coding of written usage accounts provided deeper insights into how ChatGPT was used and the range of learning goals it supported. Although many students used it for basic support, such as corrective feedback and translation, some reported more experimental and personalised uses. Most written accounts indicated facilitative use of ChatGPT, but some responses pointed to breaches in academic integrity. While not generalisable, the large-scale dataset offers noteworthy insights into the practices of Japanese university students and allows for recommendations that provide a valuable starting point for further exploration in contexts within Japan and abroad.

Authors

Institutions

Publication Details

Journal
Proceedings of the International CALL Research Conference
Published
2025-09-30
DOI
https://doi.org/10.29140/97817637116240-16
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

A large-scale mixed-methods study of Japanese university students’ use of ChatGPT for L2 learning

Louise Ohashi, Suwako Uehara
Proceedings of the International CALL Research Conference
Artificial Intelligence in Healthcare and Education
article

A large-scale mixed-methods study of Japanese university students’ use of ChatGPT for L2 learning

Louise Ohashi, Suwako Uehara
article en

Abstract

This mixed-methods paper reports on the adoption of ChatGPT for L2 learning at university level in Japan. It presents data from an online questionnaire conducted with 2,521 Japanese undergraduate students who studied English (n = 2,519) and other L2s (n = 1,881). Quantitative data revealed that approximately half had used ChatGPT for language study, mainly to assist with writing, vocabulary, and grammar. Some had used it only for classwork, homework, or self-study, while others used it for a combination of these purposes. Thematic coding of written usage accounts provided deeper insights into how ChatGPT was used and the range of learning goals it supported. Although many students used it for basic support, such as corrective feedback and translation, some reported more experimental and personalised uses. Most written accounts indicated facilitative use of ChatGPT, but some responses pointed to breaches in academic integrity. While not generalisable, the large-scale dataset offers noteworthy insights into the practices of Japanese university students and allows for recommendations that provide a valuable starting point for further exploration in contexts within Japan and abroad.

Proceedings of the International CALL Research ConferenceVol. 2025
University of Electro-Communications (JP), Gakushuin University (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 79%
Artificial Intelligence in Healthcare and Education
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.