在线交互网络中个体重要性评估及对学习成效的影响

Evaluation of Individual Importance in Online Interactive Networks and Its Impact on Learning Outcomes

在线交互是慕课、在线开放课程等在线学习的基础与核心。在线交互网络中,每个学习者所处的位置及作用不同。如何根据学习者的在线交互行为识别交互网络中处于重要地位的个体就显得尤为重要。该文基于社会网络中节点重要性评估的分析,借鉴PageRank算法的核心思想,提出了在线交互网络中个体重要性评估模型及方法,并通过对SPOC中学习者在线交互数据分析,得出结论:学习者在交互网络中的重要性对其知识建构水平无显著影响;但是处于交互网络中较重要地位的学习者的学习成绩显著高于重要性低的学习者。

Online interaction is the foundation and core of online learning such as MOOC, onlinee open courses.In an online interactive network, each learner has a different location and role. How to identify individuals who are important in the interaction network is particularly important. This research is based on the analysis of the importance evaluation of nodes in the social network. Based on the core idea of PageRank algorithm, an individual importance assessment model and method in the online interaction network are proposed. Through the analysis of online interaction data of learners in SPOC, it is concluded that the importance of learners in the interactive network has no significant effect on the level of knowledge construction; however, learners with more important roles in the interactive network have significantly higher academic performance.