Efficiency of Project-based Learning Model Empowered by AI for Pre-service Primary School Teachers

This paper explores the potential of artificial intelligence (AI) to enhance Project-Based Learning (PBL) and evaluates the effectiveness of an AI-powered PBL model for pre-service primary school teachers. Integrating AI into PBL represents a promising direction in teacher education by combining the hands-on, inquiry-based nature of project-based learning with the opportunities created by the digital transformation of education. AI enhances project-based instruction by making the learning process more efficient, personalised, and engaging. To evaluate the model’s effectiveness, the authors conducted a pedagogical experiment involving knowledge tests and project presentations to assess the knowledge and project-related skills of pre-service teachers in the experimental and control groups before and after intervention. The findings indicate that the AI-supported PBL model can significantly improved the project competence of pre-service teachers in the experimental group. The authors conclude that the proposed model is as an effective tool for preparing future primary school teachers, fostering their critical thinking, collaboration, and ability to integrate AI into classroom practice. Received: 16 April 2026 / Accepted: 16 October 2026 / Published: November 2026