| 英文摘要 |
Artificial intelligence has expanded beyond its traditional role of managing knowledge and has become a crucial driver of innovation. From phenomenological and critical-theoretical perspectives, lifelong learning in the AI era must address the inevitable shift in learning consciousness caused by AI-mediated conditions. This change alters how learning takes place, redefines human–machine dependence, redistributes resources through algorithmic logic, and makes learning environments more susceptible to digital surveillance. The widespread use of AI increases the extraction of individual autonomy and self-control in a performance-driven society, while also raising concerns about the authenticity of information amid increasing entropy. At the same time, learning pressures are reshaped, and informational differences become more pronounced. Although the AI era presents new opportunities and enhances the effectiveness of lifelong learning, long-standing problems remain unresolved, and new challenges arise. Therefore, the ability to perform phenomenological analysis and critical reflection remains vital to maintaining the integrity and continuity of lifelong learning. |