【作 者】：
张进良， 郭绍青， 贺相春
【关 键 词 】：
网络学习空间； 个性化； 学校教育； 教育变革
【栏 目】：
网络学习空间
【中文摘要】：
文章在梳理大数据分析技术驱动的技术交叉融合对网络学习空间三个子系统产生影响的基础上，系统梳理了网络学习空间的基本架构及功能, 聚焦此阶段网络学习空间的核心特征为利用个性化引擎为师生提供个性化服务，将此阶段网络学习空间命名为个性化学习空间（学习空间V3.0）。然后，从教师、学生、学习资源、教与学环境和教学组织形式等五个方面分析了学习空间V3.0对学校教育产生的作用，认为学习空间V3.0变革学校教育的核心点是促使学校的组织形式和管理模式产生重大变革，以支持规模、个性化教育，形成混合教育生态，学校教育逐步从知识本位的教育向能力本位的现代教育转型，从同质化教育向个性化教育转型。
【英文摘要】：
This paper, based on the analysis of impacts of technology integration driven by big data analytic technology on three subsystems of e-learning space, analyzes the basic framework and functions of e-learning space systematically, and points out that the core features of e-learning space at this phase are to provide personalized service for teachers and students by using personalized engine. Therefore, this phase is named as personalized learning space (Learning Space V3.0). Then, from teachers, students, learning resources, teaching and learning environments, and organizational forms of teaching, this paper analyzes the impacts of Learning Space V3.0 on school education, and concludes that Learning Space V3.0 can greatly promote the reform of the organizational form and management model in school and as a result to support the large-scale and personalized education, so as to form a mixed education ecology. School education gradually transforms from knowledge-based education to competence-based education, and from homogeneity education to individualized education.