AI Empowerment: Path Exploration in Higher Vocational English Teaching

DOI

10.2991/978-2-38476-551-5_47How to use a DOI?

Keywords

Artificial Intelligence (AI); Higher Vocational English; English Language Teaching

Abstract

The profound assimilation of the artificially intelligent (AI) technology into education encouraged by the international trend of digitalization and intelligentization has become a primary cause of the consistent change of teaching model in Higher Vocational English. This paper examines the facilitating pathways of AI technology in Higher Vocational English teaching, seeking to explore innovative instructional models aligned with “professional competence” and “applied literacy.” This analysis starts by critically examining the three main issues that the Higher Vocational English teaching is facing at present: lack of alignment between the curricular material and professional requirements, the rigidity of instructional practices that cannot effectively arouse motivation to learn, and the inadequacy of singular evaluation methods in effectively assessing language application and workplace communication skills. In response to these problems, the paper has suggested the integration pathway: “Vocational-Oriented Content Reconstruction -Intelligent Teaching Innovation -Data-Driven Evaluation Transformation”. It expounds on issues like development of intelligent curricular resources, human-computer collaborative teaching methods, multi dimensional competency evaluation systems. Lastly, the paper reflects on the issues that have been faced in the process of integrating AI that includes the role change of the teacher, the ethics of technology, and the integrity of education. It also anticipates future trends of higher vocational teaching of English whereby it is more intelligent, more personalized, more integrated and industrialized in the process in order to offer a reference and practical framework for the field.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ting Xu
PY  - 2026
DA  - 2026/03/26
TI  - AI Empowerment: Path Exploration in Higher Vocational English Teaching
BT  - Proceeding of 2025 8th International Conference on Humanities Education and Social Sciences (ICHESS 2025)
PB  - Atlantis Press
SP  - 417
EP  - 426
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-551-5_47
DO  - 10.2991/978-2-38476-551-5_47
ID  - Xu2026
ER  -