Research on Learner Portrait Based on xAPI and Learning Analysis

Long-Yau Lin, Fang Wang
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Abstract

At present, the deep integration of technology and education has become the focus of researchers. In order to better apply information technology to online learning and provide technical support for personalized learning. This paper constructs learner portrait model from four dimensions: personal information, learning style, behavioral characteristics and learning performance. According to xAPI standard, learning behavior activity flow is designed to collect learning data, extract learning behavior tags and build learner portrait. Finally, the overall analysis and group analysis of learner portrait are carried out with the help of learning analysis, so as to provide personalized and accurate online learning support services for learners and improve learning efficiency and quality.
基于xAPI和学习分析的学习者画像研究
目前,科技与教育的深度融合已成为研究者关注的焦点。为了更好地将信息技术应用于在线学习,为个性化学习提供技术支持。本文从个人信息、学习风格、行为特征和学习绩效四个维度构建学习者画像模型。根据xAPI标准,设计学习行为活动流,收集学习数据,提取学习行为标签,构建学习者画像。最后,借助学习分析对学习者画像进行整体分析和分组分析,为学习者提供个性化、精准的在线学习支持服务,提高学习效率和质量。
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