The Impact of ChatGPT Oral Review Activities on English Speaking Motivational Regulation and Perception

This study explores the impact of ChatGPT-assisted oral review on speaking motivational regulation and perception in a general English for Specific Purposes course. Eighty students participated, with the experimental group(42 students) engaging in ChatGPT-assisted oral review and the control group(38 students) performing traditional review tasks. Both groups self-reflected English speaking motivational regulations(task value activation, out-of-class learning environment, affect, class learning environment) at three time points (beginning, middle, and end of the course). Additionally, the experimental group rated perceived usefulness of ChatGPT for English speaking accuracy and fluency in the middle and at the end of course. Results revealed that both groups significantly improved motivational regulations at the end of the course. However, the experimental group maintained significant gains in task value activation, affect, and class environment motivational regulations at the end of the course, while the control group demonstrated significant improvement only in affect. Between-group comparisons revealed that the experimental group showed significantly higher levels of speaking task value activation and classroom environment regulation at the course’s end. Furthermore, the experimental group perceived ChatGPT oral interactions as beneficial for improving speaking accuracy and fluency, with statistically significant increases. Finally, multiple regression analyses indicated that the perceived fluency improvement predicted higher levels of out-of-class learning environment regulation in the middle and all four motivational regulations at the end of the course. Overall, the findings suggest that ChatGPT-based oral review activities may function as an effective instructional strategy that enhances learners’ perceptions of speaking accuracy and fluency and supports self-regulated speaking motivation.

Authors

Publication Details

Journal
The Korean Association of General Education
Published
2026-04-30
DOI
https://doi.org/10.46392/kjge.2026.20.2.151
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of ChatGPT Oral Review Activities on English Speaking Motivational Regulation and Perception

Namhee Kang
The Korean Association of General Education
Artificial Intelligence in Healthcare and Education
article

The Impact of ChatGPT Oral Review Activities on English Speaking Motivational Regulation and Perception

Namhee Kang
article en

Abstract

This study explores the impact of ChatGPT-assisted oral review on speaking motivational regulation and perception in a general English for Specific Purposes course. Eighty students participated, with the experimental group(42 students) engaging in ChatGPT-assisted oral review and the control group(38 students) performing traditional review tasks. Both groups self-reflected English speaking motivational regulations(task value activation, out-of-class learning environment, affect, class learning environment) at three time points (beginning, middle, and end of the course). Additionally, the experimental group rated perceived usefulness of ChatGPT for English speaking accuracy and fluency in the middle and at the end of course. Results revealed that both groups significantly improved motivational regulations at the end of the course. However, the experimental group maintained significant gains in task value activation, affect, and class environment motivational regulations at the end of the course, while the control group demonstrated significant improvement only in affect. Between-group comparisons revealed that the experimental group showed significantly higher levels of speaking task value activation and classroom environment regulation at the course’s end. Furthermore, the experimental group perceived ChatGPT oral interactions as beneficial for improving speaking accuracy and fluency, with statistically significant increases. Finally, multiple regression analyses indicated that the perceived fluency improvement predicted higher levels of out-of-class learning environment regulation in the middle and all four motivational regulations at the end of the course. Overall, the findings suggest that ChatGPT-based oral review activities may function as an effective instructional strategy that enhances learners’ perceptions of speaking accuracy and fluency and supports self-regulated speaking motivation.

The Korean Association of General EducationVol. 20(2)
Quality Education
Openalex Percentile: Top 9%
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.