| Issue |
SHS Web Conf.
Volume 228, 2026
International Conference on the Integrated Development of Education, Psychology and Media in the Digital Age (IDEPMDA 2025)
|
|
|---|---|---|
| Article Number | 01010 | |
| Number of page(s) | 6 | |
| Section | Education and Learning Motivation | |
| DOI | https://doi.org/10.1051/shsconf/202622801010 | |
| Published online | 05 February 2026 | |
Reviewing the Influence of AI-related Technologies on the Intrinsic Motivation of Students to Learn English as a Second Language
The University of Sydney, Sydney, UNSW 2006, Australia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
In the age when AI is prevalent in the world, teachers will use AI tools more frequently to teach students in educational contexts. With the assistance of AI, students tend to show more interest in learning English. This paper is to review the influences of AI-related technologies on the intrinsic motivation of students to learn English as a second language, drawing upon two perspectives, including the positive influences and negative ones. In terms of the benefits of AI technologies on student intrinsic motivation in learning English, it can be concluded from the reviewed research papers that AI can foster student engagement and teacher-student interactions, enhance personalized learning and student autonomy, as well as reduce learner anxiety. From the negative side, this paper also finds from the articles that AI could also cause over-reliance on technology as well as a lack of human connection, which may hinder student motivation in learning English. Lastly, this paper points out the future research directions, including the situations where students lack intrinsic motivations to learn English when using AI tools, as well as how to solve the adverse effects caused by AI tools.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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