The impact of AI technology on oral English teaching behaviour under UTAUT model

To improve the adaptability and universality of teachers using intelligent technology to analyse the influencing factors of English speaking, this paper proposes a study on the impact of AI technology on English speaking teaching behaviour under the UTAUT model. By identifying the influencing factors and designing a survey questionnaire, a UTAUT model was constructed to study the impact on English oral teaching behaviour. The experimental results show that this study has high adaptability and universality, with an accuracy rate consistently above 90%, indicating that the model has shown good performance in terms of analytical performance. This indicates that the research model is of great significance for a deeper understanding of the role of AI technology in English oral teaching.

Authors

Institutions

Publication Details

Journal
International Journal of Continuing Engineering Education and Life-Long Learning
Published
2025-01-01
DOI
https://doi.org/10.1504/ijceell.2025.143793
Primary Topic
Educational Technology and Pedagogy
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 AI technology on oral English teaching behaviour under UTAUT model

Zhou Li, Huisuan Wei
International Journal of Continuing Engineering Education and Life-Long Learning
Educational Technology and Pedagogy
article

The impact of AI technology on oral English teaching behaviour under UTAUT model

Zhou Li, Huisuan Wei
article en

Abstract

To improve the adaptability and universality of teachers using intelligent technology to analyse the influencing factors of English speaking, this paper proposes a study on the impact of AI technology on English speaking teaching behaviour under the UTAUT model. By identifying the influencing factors and designing a survey questionnaire, a UTAUT model was constructed to study the impact on English oral teaching behaviour. The experimental results show that this study has high adaptability and universality, with an accuracy rate consistently above 90%, indicating that the model has shown good performance in terms of analytical performance. This indicates that the research model is of great significance for a deeper understanding of the role of AI technology in English oral teaching.

International Journal of Continuing Engineering Education and Life-Long LearningVol. 35(1/2)
Central South University of Forestry and Technology (CN), Central South University (CN), Open University Malaysia (MY)
Quality Education
Openalex Percentile: Top 100%
Educational Technology and Pedagogy
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.

The impact of AI technology on oral English teaching behaviour under UTAUT model — Zhou Li, Huisuan Wei · International Journal of Continuing Engineering Education and Life-Long Learning (2025) | TGRS Research Map | TGRS