This study is based on the development of a design focused on underlining what artificial intelligence can achieve to bring value to learning quality especially when implementing active methodologies, such as project-based learning (PBL). This study analyzed the perceptions of AI-integrated PBL versus non-AI-integrated PBL among teachers in primary, secondary, and higher education. Conducted with a sample of teachers (n = 300), this study investigated perceived effectiveness, the AI-powered personalization of learning, and motivation. A Student’s t-test, as well as normality, homogeneity of variance, and Cohen’s d tests, revealed that AI-enhanced PBL is rated significantly higher than regular PBL without AI, with a Cohen’s d effect size of 1.30, signifying a large impact. These findings underpin the development of an optimized AI-driven PBL model, particularly within both the prototype production and evaluation phases, providing greater autonomy, responsive feedback, and adaptive personalization, all towards advancing a more effective AI-supported pedagogical model of teaching.
