MOOC+SPOC混合式教学模式下的学习者画像研究
Research of Learner Portrait under MOOC+SPOC Mixed Teaching Mode

在个性化学习理论指导下，本文结合已有学习者特征分析体系构建MOOC+SPOC混合式教学模式下的学习者特征分析模型，通过采集学习者全过程学习数据，进行数据统计与分析，从学习者基本信息、学习行为、学习结果三个维度进行学习者整体画像，通过K-means聚类分析方法进行学习者分类画像，将学习者分成潜力型、进取型、自主型三类，为混合式教学下的精准个性化学习提供参考。
Under the guidance of personalized learning theory, the learner feature analysis model under the MOOC+SPOC mixed teaching mode is constructed on the existing learner feature analysis system. By collecting the whole process of learners ‘learning data, data statistics and analysis are carried out, and the overall portrait of learners is made from three dimensions of learners’ basic information, learning behavior and learning results. Learners are classified into three categories: potential learners, aggressive learners and autonomous learners by K-means cluster analysis method. It provides a reference for accurate and personalized learning under mixed teaching.