Smart Educational Ecosystems: Tailoring Employee Training With Ai and Iot in the Industry 5.0 Landscape

This study investigates the transformational potential of combining the Internet of Things with artificial intelligence to build intelligent educational ecosystems for Industry 5.0 worker training. Seeing the need for tailored learning experiences to match changing skill requirements, the research looks into how AI and IoT may transform workforce education. Using a mixed-methods approach that includes expert interviews, case study analysis, and literature evaluation, the research identifies and evaluates the essential elements of AI- and IoT-driven training systems. The results show that real-time data gathering and feedback enabled by IoT in conjunction with AI-powered tailored learning greatly enhances organizational flexibility, employee engagement, and learning outcomes. The report specifically notes gains in information retention, skill development speed, and training cost savings. The study also tackles issues which include reluctance to technology adoption and worries about data privacy. It emphasizes a human-centric strategy that strikes a balance between technology improvements and ethical issues for enterprises making the transition to Industry 5.0. It also provides useful insights and suggests an implementation structure.