【作 者】：
叶俊民，尹兴翰，于 爽，刘清堂，罗 晟
【关 键 词 】：
生成式人工智能； 学习分析； 价值内涵； 实践框架； 发展路向
【栏 目】：
课程与教学
【中文摘要】：
生成式人工智能正在教育领域崭露头角，其在数据处理、分析和生成方面的出色表现，为解决学习分析面临的利益相关者素养不足、技术可信性不强等问题提供了重要机遇，对深化教育评价改革意义深远。然而，关于生成式人工智能赋能学习分析的价值内涵、实践框架及发展路向尚不清晰。因此，研究首先从“术用”与“器用”的双重角度剖析生成式人工智能赋能学习分析的价值内涵。其次，从确立目标、数据采集、数据处理与分析、智慧应用四个主要方面构建并阐释了生成式人工智能赋能学习分析的实践框架，以为学习分析实践提供参考。最后，立足于生成式人工智能赋能学习分析的现状，研究认为未来应该关注智能素养培育，以转向人智协同的学习分析范式；注重多种技术兼容，以促进分析变革培养的创新发展；重视分析伦理规范，以推动可信学习分析生态的构建。
【英文摘要】：
Generative AI is emerging in the field of education, and its outstanding performance in data processing, analysis and generation provides an important opportunity to solve the problems of insufficient stakeholder literacy and weak technical credibility faced by learning analytics, which is of far-reaching significance for deepening the reform of education evaluation. However, the value connotation, practical framework and development direction of generative AI-enabled learning analytics are still unclear. Therefore, the study first analyses the value connotation of generative AI-enabled learning analytics from the dual perspectives of "technological application" and "instrumental use". Secondly, it constructs and explains the practical framework of generative AI-enabled learning analytics from four aspects of establishing goals, data collection, data processing and analysis, and intelligent application, so as to provide reference for the practice of learning analytics. Finally, based on the current situation of generative AI-enabled learning analytics, the study concludes that in the future, it is necessary to pay attention to the cultivation of intelligent literacy for moving to the learning analytics paradigm of human-intelligence synergy, focus on the compatibility of multiple technologies in order to promote the innovative development of analytical transformation cultivation and emphasize the analytical ethical norms in order to promote the construction of a credible learning analytics ecosystem.