Towards Industry 5.0: Problems and Prospects of Artificial Intelligence in Early Childhood Education and Care
摘要
In recent years, the transition to Industry 5.0 has become a pivotal focus in sustainability studies. This shift aims to blend human creativity with advanced technologies like artificial intelligence (AI) to achieve a sustainable, human-centric future. However, this transition is complicated by a “polycrisis”—a complex web of interconnected global challenges impacting Early Childhood Education and Care (ECEC).This study explores how enhancing AI literacy in ECEC can address these challenges by fostering resilience and antifragility. By examining the potential benefits and challenges of AI in ECEC, the research provides both empirical and theoretical contributions. Empirically, it identifies AI technologies that can improve educational outcomes and prepare children for a sustainable future. Theoretically, it introduces “polycrisis literacy,” equipping individuals to navigate complex global issues. The research highlights five global systems undergoing radical change: environmental instability, energy transitions, shifting international security dynamics, economic regime changes, and rapid information system evolution. Each presents unique challenges and opportunities for ECEC, necessitating adaptive strategies. AI tools like Machine Learning for Kids and TensorFlow Playground offer innovative educational experiences but also raise concerns about data privacy, equity, and ethics. Addressing these challenges is crucial for responsible AI integration, promoting human-centric, sustainable practices. Ultimately, the study emphasizes AI's potential to transform ECEC and contribute to a resilient society. It calls for ongoing research to address ethical concerns and ensure equitable access to AI tools, fostering a generation capable of navigating the complexities of the polycrisis and Industry 5.0.