E-Portfolios in Teacher Training: A Path to Personalized Learning Through AI

Artificial Intelligence (AI) utilization in e-portfolios is transforming teacher training through the enhancement of personalized learning, assessment, and reflective practice. AI-powered e-portfolios provide real-time feedback, adaptive learning pathways, and automation of competency tracking, ensuring targeted professional development. Through machine learning and natural language processing, AI enhances independent learning and facilitates data-driven decision-making in teacher education. This study examines how AI-driven e-portfolios support personalized training, with a focus on competency assessment, feedback cycles, and professional growth. Findings point to three significant features: (1) AI-driven feedback mechanisms, (2) adaptive learning pathways, and (3) enhanced reflective practice. AI improves the connection between teaching theory and classroom practice, with scalable solutions for teacher growth. Future research needs to explore ethical AI use, hybrid mentoring approaches, and scalable implementation across different educational settings.