基于聚类和社会网络的网络学习拖延状态分析

Tianjiao Zhai, Jianhua Qu, Y. Ling
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引用次数: 0

摘要

在“互联网+教育”背景下,掌握学生拖延现象的情况,及时关注学生拖延现象的变化,分析其原因,为教育教学工作提供有效的信息具有重要意义。本研究以E-learning行为数据为基础,构建拖沓指标,并将课程划分为不同的学习阶段。本研究进行聚类分析,通过对结果的总结和提炼,构建了拖延状态的概念。然后得出学生在各个学习阶段的拖延状态。最后,本研究运用社会网络方法分析了学生拖延症在学习过程中的动态变化。结果表明,学生的拖延行为可分为有限拖延、弱拖延和强拖延三种类型。拖延状态的改变对教育教学具有重要意义。根据研究结果,从不同方面提出了改善学生拖延行为的干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Procrastination State of E-learning Based on Clustering and Social Network
Under the background of "Internet + Education", it is of great significance to provide effective information for education and teaching work by grasping the situation of students’ procrastination, timely paying attention to the changes of students’ procrastination and analyzing the reasons. Based on the E-learning behavior data, the study constructed the procrastination indicator and divided the course into different learning stages. The study carried out cluster analysis and constructed the concept of procrastination state by summarizing and abstracting the results. Then the procrastination state of students in each learning stage was obtained. Finally, the study used the social network method to analyze the dynamic changes of students’ procrastination in the learning process. The results show that students’ procrastination can be divided into three types: finite procrastination, weak procrastination and strong procrastination. Changes in the state of procrastination are of great significance to education and teaching. Based on the research results, intervention measures are given from different aspects to improve students’ procrastination behavior.
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