Immersive Educational Assessments with Augmented Reality as a Tool for Teacher Training Using Synthetic Data

Abstract

This study explores using immersive assessments with Augmented Reality (AR) and synthetic data to enhance teacher training. By combining AR technology with artificial data, the study aims to create dynamic, realistic scenarios that simulate classroom environments, allowing teachersin- training to apply their pedagogical knowledge in real time. The research employed a Delphi method, involving three experts from different fields—pedagogy, technology, and literature—to evaluate the effectiveness of these assessments using a rubric. The experts provided feedback on key areas such as cognitive skills assessment, AR integration, and instructional clarity, identifying strengths and improvement areas. The results show that AR-based assessments improve engagement, foster higher-order thinking, and offer personalized learning experiences. However, challenges such as the cost of AR technology, the need for teacher training, and ensuring the integrity of assessments were also noted. The findings highlight the potential of AR and synthetic data to transform teacher education by providing more interactive, practical, and adaptive assessments. Future research is needed to fully understand the long-term impact of these technologies in real-world educational settings and to explore the combination of natural and synthetic data to enhance the effectiveness of immersive assessments further.