Developing a Training Program to Enhance AI-Integrated STEM Teaching Competence for Pre-Service Teachers
Online First: 29/04/2026
Corressponding author's email:
hongbv@hcmute.edu.vnDOI:
https://doi.org/10.54644/jte.2026.2041Keywords:
STEM-AI, Artificial Intelligence in Education, Teacher capacity, Improve training program, Pre-service teacherAbstract
The rapid advancement of Artificial Intelligence (AI) is transforming many sectors, including education, and creating an urgent need to innovate STEM education to equip students with competencies required in the digital era. However, many current teacher education programs still lack systematic content and pedagogical approaches that enable pre-service teachers to effectively integrate AI into STEM teaching practices. This study aims to identify the core components of AI-integrated STEM teaching competence and to develop a training program for pre-service teachers. Using a systematic literature review approach, national and international studies related to AI in education, STEM pedagogy, and teacher competence development were collected, analyzed, and synthesized. Based on the review results, the study proposes a four-module training program designed to enhance AI-integrated STEM teaching competence for pre-service teachers. The program includes: (1) an overview of AI and its implications for STEM education; (2) applying AI tools in the design of STEM learning activities; (3) integrating AI into the organization and implementation of STEM teaching; and (4) utilizing AI in educational research and in guiding students’ scientific research projects. The proposed framework provides both theoretical insights and practical guidance for pedagogical universities to design AI-integrated teacher training programs, thereby contributing to educational innovation and improving the quality of STEM teacher preparation in the era of digital transformation.
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