Research on the Innovative Development of English Teaching Modes in Higher Vocational Education in the AI Era

With the continuous development of the times, artificial intelligence (AI) technology has gradually integrated into people’s daily work and life, exerting a significant impact on relevant production and lifestyle patterns. Against this backdrop, the field of education should also keep pace with the times, continuously update itself, actively explore the positive role of new technologies in educational models, and constantly provide new ideas for the development of education. Vocational college English teaching also needs to attach importance to the integration of AI technology. Focusing on the fundamental task of fostering virtue through education, it should continuously optimize current educational methods and teaching models, promote the intelligent upgrading of courses, teaching materials, and teaching systems, and facilitate the in-depth development of English education. This paper starts with an overview of the application of AI technology in English teaching, explores the advantages of applying AI technology in vocational college English teaching, and analyzes the effective paths for the innovative development of vocational college English teaching models in the AI era. It is hoped that this paper can provide new references and teaching methods for vocational college English teaching, thereby promoting the overall improvement of English teaching.

Authors

Institutions

Publication Details

Journal
Education Reform and Development
Published
2025-09-04
DOI
https://doi.org/10.26689/erd.v7i8.11833
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

Research on the Innovative Development of English Teaching Modes in Higher Vocational Education in the AI Era

Bing Liu
Education Reform and Development
Educational Technology and Pedagogy
article

Research on the Innovative Development of English Teaching Modes in Higher Vocational Education in the AI Era

Bing Liu
article en

Abstract

With the continuous development of the times, artificial intelligence (AI) technology has gradually integrated into people’s daily work and life, exerting a significant impact on relevant production and lifestyle patterns. Against this backdrop, the field of education should also keep pace with the times, continuously update itself, actively explore the positive role of new technologies in educational models, and constantly provide new ideas for the development of education. Vocational college English teaching also needs to attach importance to the integration of AI technology. Focusing on the fundamental task of fostering virtue through education, it should continuously optimize current educational methods and teaching models, promote the intelligent upgrading of courses, teaching materials, and teaching systems, and facilitate the in-depth development of English education. This paper starts with an overview of the application of AI technology in English teaching, explores the advantages of applying AI technology in vocational college English teaching, and analyzes the effective paths for the innovative development of vocational college English teaching models in the AI era. It is hoped that this paper can provide new references and teaching methods for vocational college English teaching, thereby promoting the overall improvement of English teaching.

Education Reform and DevelopmentVol. 7(8)
Guangdong University Of Finances and Economics (CN)
Openalex Percentile: Top 87%
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.