News Big Data Analysis on Lifelong Education and AI in the AI Era

As the importance of lifelong learning increases due to the digital transformation including AI and digital and changes in population structure, a new lifelong education policy is required. This study divided the period before and after the 5th Basic Plan for Lifelong Education Promotion, which switched to an AI and digital-based lifelong learning system, and analyzed the social agenda and changing aspects of the media regarding the relationship between lifelong education and AI in the two periods through topic modeling analysis, a text mining technique. First, the keyword analysis results showed that words such as university, support, and business appeared as top keywords in both periods, and keyword influence analysis showed that keywords such as industry, support, future, and society were relatively influential in the introduction period, while keywords such as program, region, and utilization were relatively influential in the diffusion period. Topic analysis revealed 6 topics in the introduction period and 7 topics in the diffusion period, and while agendas regarding Edutech technology appeared at a high rate in the introduction period, agendas regarding digital diffusion of lifelong education support projects occupied a high proportion in the diffusion period. In order to analyze the change in topics by period before and after the spread of AI, we reclassified them into three dimensions: education reform, operation/players, and support/policy and analyzed the change over time. Finally, based on the results of this analysis, we presented policy implications for the AI era, lifelong education, and AI, as well as the limitations of the research and the direction of follow-up research.