AI and the future of educational technology: a systematic review of pedagogical innovations and challenges

Abstract

The integration of artificial intelligence (AI) into education has transformed teaching and learning through personalized instruction, intelligent tutoring, and adaptive learning environments. This review examines 60 studies on AI-driven education, highlighting key advancements, challenges, and future directions. AI-powered intelligent tutoring systems, machine learning-based assessments, and virtual simulations enhance learning efficiency, yet concerns remain regarding algorithmic transparency, data fairness, and ethical considerations. AI is also reshaping educators’ roles, fostering facilitative teaching, data-driven decision-making, and professional development. While mixed-reality tools and collaborative AI-driven learning frameworks show promise, balancing engagement with academic rigor remains a challenge. Future research should explore teacher-AI collaboration, long-term learning impact, and cross-cultural applicability to develop human-centered, inclusive AI education ecosystems.