Exploring Students’ Experiences and Attitudes Toward Text-Generating AI in Foreign Language Learning: A Study of Japanese University Students

Advancements in generative artificial intelligence (AI) have the potential to enhance language learning. As the educational use of generative AI is still in its nascency, understanding learners’ experiences and perceptions is crucial. This preliminary study used a 5-point Likert scale to explore the experiences and attitudes of 77 Japanese university students in one social sciences

Authors

Publication Details

Journal
Asian Conference on Education official conference proceedings/ACE
Published
2025-03-13
DOI
https://doi.org/10.22492/issn.2186-5892.2025.133
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring Students’ Experiences and Attitudes Toward Text-Generating AI in Foreign Language Learning: A Study of Japanese University Students

Harumi Kashiwagi, Min Young Kang
2 links
Asian Conference on Education official conference proceedings/ACE
Topic Modeling
article

Exploring Students’ Experiences and Attitudes Toward Text-Generating AI in Foreign Language Learning: A Study of Japanese University Students

Harumi Kashiwagi, Min Young Kang
article en

Abstract

Advancements in generative artificial intelligence (AI) have the potential to enhance language learning. As the educational use of generative AI is still in its nascency, understanding learners’ experiences and perceptions is crucial. This preliminary study used a 5-point Likert scale to explore the experiences and attitudes of 77 Japanese university students in one social sciences

Asian Conference on Education official conference proceedings/ACE
Quality Education
Openalex Percentile: Top 98%
Topic Modeling
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.

Exploring Students’ Experiences and Attitudes Toward Text-Generating AI in Foreign Language Learning: A Study of Japanese University Students — Harumi Kashiwagi, Min Young Kang · Asian Conference on Education official conference proceedings/ACE (2025) | TGRS Research Map | TGRS