ORIGINAL RESEARCH article
Front. Psychol.
Sec. Educational Psychology
Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1642465
This article is part of the Research TopicInnovative ICT Strategies for Inclusive Education: Enhancing Teacher Competencies and Student EngagementView all 11 articles
Improving Pre-service Teachers' AI Competencies
Provisionally accepted
- Tianhua College, Shanghai Normal University, Shanghai, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Abstract UNESCO's sustainable development agenda underscores the critical need to equip pre-service teachers with artificial intelligence competencies, thereby enabling future generations to attain the global sustainable goal of quality education. This study aims to evaluate the perceptions concerning the AI competencies of pre-service teachers and investigates the influence of AI course helpfulness on the AI competency of pre-service teachers. A total of 79 pre-service teachers participated in AI courses, covering topics from foundational AI principles to interdisciplinary applications. Employing a quantitative correlational research design, the study assessed participants' perceptions of the helpfulness of these AI courses, alongside their AI competencies, which were evaluated across six domains: AI awareness, basic AI knowledge, basic AI skills, problem-solving, AI teaching practice, and ethics and safety. These results show that the overall AI competency stood at a moderate level. Pre-service teachers have increased awareness of AI and ethics while they exhibit lower in problem-solving, basic AI skills, and AI teaching practice. Secondly, the findings showed that the role of well-structured AI courses enhancing the development of pre-service teachers' AI-related capabilities is mostly supported. Further research is needed to determine the long-term effect of these AI training on classroom practices and teaching effectiveness.
Keywords: AI competency1, pre-service teachers2, AI courses3, Higher Education4, quantitative research5
Received: 06 Jun 2025; Accepted: 10 Oct 2025.
Copyright: © 2025 Han. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Xiaotian Han, 158499958@qq.com
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.