在线开放课程深度学习的影响因素研究

Influencing Factors of Deep Learning in Online Open Courses

在线开放课程是信息技术环境下高等教育课程改革的突破口,但学习者的在线开放课程学习状态因多种因素难以达到深度学习,引人深思。究竟哪些因素影响着学习者的在线开放课程学习状态?这些因素到底是促进或抑制学习者的在线开放课程深度学习?这些因素之间存在何种关系?针对这一问题,以班杜拉三元交互理论为基础,聚焦影响在线开放课程深度学习的关键性因素,通过分析各影响因素之间的关系,建构在线开放课程深度学习影响因素结构模型,梳理和总结影响在线开放课程深度学习的因素,进而提出促进在线开放课程深度学习的实践路径。

Open online courses are the breakthrough in the reform of higher education courses under the information technology environment,but the learning status of open online courses is difficult to achieve deep learning due to various factors,which is thoughtprovoking.What factors affect learning status of open online courses of learners?Are these factors promoting or inhibiting deep learning of open online courses of learners?What is the relationship between these factors?In response to this problem,this paper focuses on the key factors affecting the deep learning of online open courses based on three-element interaction theory of Bandura.By analyzing the relationship between various influencing factors,a structural model of influencing factors for deep learning of online open courses is constructed.It sorts out and summarizes the factors that affect the deep learning of online open courses,and then puts forward the practical path to promote the deep learning of online open courses.