【摘要】 研究显示，基于大数据的学习分析技术在未来几年内将成为极具影响力的教育技术。为了探究近五年国际学习分析技术的研究热点和发展趋势，研究选取2017—2022年Web of Science核心合集数据库中250篇文献作为研究样本，对学习分析现状进行系统分析。分别采用SATI、Ucinet及SPSS分析工具对其进行共词分析、聚类分析、社会网络分析及文本内容分析。研究发现，国际学习分析技术领域的研究热点主要集中在学习者数据追踪、教学规律探究、教学干预及决策支持、伦理与道德4个分支主题。并在热点剖析的基础上，提出构建全方位的多模态数据基础，寻求跨学科合作与技术融合，深化基于数据驱动的教学干预与决策研究，加强安全、伦理与道德，探讨了四个方面的未来趋势。更多还原

【Abstract】 The research has shown that learning analytical technology based on big data will become a highly influential education technology in the next few years. In order to explore the research hotspots and development trends of international learning analytical technology in the past five years, 250 pieces of literature from the core database of the Web of Science from 2017 to 2022 were selected as research samples to conduct a systematic analysis of the current status of learning analytical technology. SATI, Ucinet and SPSS were used to conduct co-word analysis, cluster analysis, social network analysis and text content analysis. It is found that the research hotspots in the field of international learning analytical technology mainly focus on four subtopics of learner data tracking, teaching law exploration, teaching intervention and decision support, ethics and morality. Based on the analysis of hotspots, it is proposed four future trends to build a comprehensive multi-modal data foundation, seek interdisciplinary collaboration and technology integration, deepen data-driven teaching intervention and decision-making research, and strengthen safety, ethics and moral discussion.更多还原