基于数据挖掘的MOOC学习过程监测指标分析——以“电路原理”课程为例

Analysis of Monitoring Indexes of MOOC Learning Process based on Data Mining——Taking the Course of “Principles of Electric Circuits” for Example

在互联网时代,数据使用的深度是影响MOOC发展的重要因素,因此需要将MOOC和数据挖掘结合起来。文章深入到学习者的MOOC学习过程中,基于数据挖掘的思路,以"电路原理"课程为例,分析了可用于监测MOOC学习过程的三个关键指标:学习者过程学业表现的测量指标、学习者过程学习投入的测量指标和学习者遭遇学习困难后的学习行为指标——这些指标可以比较清晰地反映学习者的过程学习情况。文章的研究,可为数据挖掘与在线教育的有机结合和教师干预学习者的过程学习提供思路和方法。

In the era of internet, the depth of data use is an important influence factor of MOOC development, so it is necessary to combine MOOC and data mining. This paper intends to explore into the learners＇ MOOC learning process, on the basis of data mining, taking the courses of ＂Principles of Electric Circuits＂ for example, analyzing three key indexes which can be used to monitor the MOOC learning process. The key indexes mainly include： measurement index of learners＇ process academic performances, measurement index of learners＇ process learning inputs and learning behavioral index when learners encounter learning difficulties. These indexes can clearly reflect the learners＇ learning process. This study provides some thinkings and methods for the organic combination of data mining and online education, and also for teachers to intervene the learners＇ process learning.