Gamified Artificial Intelligence in Education: A Systematic Literature Review

Gamification and artificial intelligence (AI) applied in education have surfaced as a transformative method to improve learning experiences, but a thorough synthesis of current research is still lacking. This systematic literature review investigates the present status of gamified artificial intelligence in education, with particular attention to its applications, design principles, and pedagogical effects in various educational settings. Our analysis is organized around five principal aspects: broadening general education, acquiring languages, empowering educators, tailored adaptive learning, and subject-specific applications, which underscore cross-disciplinary patterns. By systematically analyzing peer-reviewed studies, we map the theoretical foundations, methodological approaches, and empirical outcomes of gamified AI systems, thereby uncovering gaps and opportunities for future research. The results show gamified artificial intelligence boosts pupil involvement and drive while supporting adaptable, data-informed customization of educational trajectories, yet issues including ethical concerns, expandability, and educator preparedness remain. The review underscores the need for more rigorous, longitudinal studies to validate the long-term efficacy of these systems while advocating for balanced collaboration between educators, designers, and AI developers. In conclusion, this study establishes a unified structure to direct scholars and professionals in progressing gamified AI as a durable, empirically-supported instructional resource.