继续教育研究Issue(12)：18-24,7.
人工智能赋能继续教育高质量发展研究
A Study on the AI-empowered High-Quality Development of Continuing Education
摘要
Abstract
In the context of digital transformation and the deepening of lifelong learning,the high-quality development of continuing education faces challenges,such as uneven resource allocation,extensive services and inefficient management.Artificial intelligence(AI),with its advantages in data in-sight and adaptability,offers new pathways for addressing these issues.Through a systematic exploration of the internal logic,core pathways,and practical challenges of AI-empowered continuing education,it is found that its internal logic lies in the deep coupling among the adaptability of technology itself,the urgency of educational needs,and the policy orientation of development goals.The core pathways focus on four major dimensions:personalized learning systems,intelligent resource provision,refined management mechanisms,and three-dimensional developmental evaluation systems.However,practical challenges remain,including disordered data governance,concerns about algorithmic fairness,insufficient human-technology integration and sustainabili-ty dilemmas.Accordingly,this study proposes the construction of a"data-algorithm-integration-sustainability"collaborative governance framework to tackle these challenges,and advocates for an"intelligence-driven,precision-service,and dynamically optimized"ecosystem to provide both theoretical support and practical guidance for the intelligent transformation of continuing education.关键词
人工智能/继续教育高质量发展/个性化学习/教育治理/人技共生Key words
Artificial intelligence(AI)/High-quality development of continuing education/Personalized learning/Educational governance/Hu-man technology symbiosis分类
社会科学引用本文复制引用
梁骥..人工智能赋能继续教育高质量发展研究[J].继续教育研究,2025,(12):18-24,7.基金项目
2024年浙江省高职教育"十四五"第二批教学改革项目"数字经济时代新媒体产业学院的人才培养改革与实践"(编号:jg20240499) （编号:jg20240499）
2023年度浙江省产学合作协同育人项目"新媒体领域职业教育产业学院多元协同育人模式研究"(编号:2023-309). （编号:2023-309）
