【作 者】：
吴 亚 婕
【关 键 词 】：
网络环境；深度学习；影响因素；测量工具
【栏 目】：
网络教育
【中文摘要】：
尽管在线学习热度持续不减，但是学习者在线深度学习是否发生却引发了大家的思考。在以往的研究中，实践者对深度学习发生的条件进行了大量研究，但是仅仅检验单一或者某几个影响变量与深度学习之间的关系。文章以班杜拉的三元交互决定模型为分析框架，综合梳理与总结影响在线深度学习的因素及其测量工具。研究发现以下因素综合影响着学习者在线深度学习的发生：（1）自我调节、动机、深度学习方法、投入等行为因素；（2）生生交互与师生交互、学生与内容的交互等行为因素；（3）环境因素。本研究成果为构建在线学习中深度学习预测模式提供参考。
【英文摘要】：
Although online learning has continued unabated, whether learners' online deep learning has taken place or not is worth thinking. In previous studies, practitioners have done a lot of research on the conditions of deep learning, but only the relationship between single or several influential variables and deep learning has been examined. Based on Bandura's three-dimensional interactive model, this paper reviews and summarizes the factors influencing online deep learning and its measuring tools comprehensively. This study finds that the following factors affect the occurrence of online deep learning of learners: (1) self-regulation, motivation, deep learning methods, input and other behavioral factors; (2) behavior factors such as student-student interaction and student-teacher interaction and student-content interaction; (3) environmental factors. The results provide a reference for the establishment of prediction model of online deep learning.