Anggun Agni Zaus, M. Giatman, Mahesi Agni Zaus, Anggi Agni Zaus, Syaiful Islami
This study introduces a novel integration of Artificial Intelligence (AI) and Project-Based Learning (PjBL) to enhance critical thinking and teamwork skills among engineering students—an approach that has received limited attention in existing research. Unlike prior studies that typically examine AI or PjBL in isolation, this research combines the adaptive, personalized feedback of AI with the collaborative, problem-solving nature of PjBL, creating a unique pedagogical framework. The experimental group, which received the AI-PjBL intervention, demonstrated significant improvements in critical thinking and teamwork skills compared to the control group that received traditional methods. Notably, the findings highlight that gender did not significantly influence skill development, underscoring the potential of AI-PjBL to promote gender equity in STEM education—a dimension rarely explored in similar studies. By showing that AI-driven personalization and project-based collaboration can be synergistically applied, this study contributes new insights into designing future-ready curricula. The results emphasize that embedding AI-PjBL in engineering education is not only effective but also transformative in preparing students for the demands of an increasingly complex, technology-driven world. © 2026, Politeknik Negeri Padang. All rights reserved.
Department of Technical and Vocational Education, Universitas Negeri Padang, Air Tawar, Padang, Indonesia; Western Sydney University, NSW, Australia
