中国远程教育学生流失现状及归因

发布时间：2018-07-28 18:10

【摘要】：随着计算机和网络的广泛应用,远程教育学生规模不断扩大;与此同时,学生流失问题也日益凸显。较高的学生流失率增加了远程教育机构的生均办学成本,给远程教育机构的社会声誉造成负面影响。因此,研究学生流失规律及影响因素,以降低学生流失率,成为提高远程教学质量很好的切入点。已有研究采用访谈、问卷、描述性统计等方法,对流失率与学习阶段、性别、年龄、专业等的关系进行了探究。按照持续比较法,我国远程教育学生流失的影响因素包括学习者因素、教育机构因素、环境因素3大类和11小类:人口统计学因素、学前准备及技能、学习心理因素、学业表现、专业及课程设计、教育机构支持、交互、工学矛盾、家庭支持、计划外事件和社会支持。降低学生流失率一方面可以基于我国远程教育的现实情景,对学生流失各因素间的相互关系进行研究,在此基础上建立结构化的学生流失模型,对学生流失的决策过程进行清晰的解释;另一方面可以采用数据挖掘方法,利用教务管理系统和学习管理系统数据,建立学生流失预测模型,在流失行为发生前发现潜在的流失学生,以便教育机构可以有针对性的采取挽留措施。
[Abstract]:With the wide application of computer and network, the scale of distance education students is expanding, at the same time, the problem of student drain is becoming more and more prominent. The higher student wastage rate increases the average running cost of distance education institutions and has a negative impact on the social reputation of distance education institutions. Therefore, the study of the law of student wastage and its influencing factors in order to reduce the wastage rate of students has become a very good breakthrough point to improve the quality of distance teaching. Previous studies have explored the relationship between wastage rate and learning stage, gender, age, specialty and so on by means of interviews, questionnaires and descriptive statistics. According to the method of continuous comparison, the factors that affect the loss of students in distance education in China include learner factors, educational institution factors, environmental factors and 11 subcategories: demographic factors, pre-school preparation and skills, learning psychological factors. Academic performance, professional and curriculum design, educational institution support, interaction, work-learning contradictions, family support, unplanned events and social support. On the one hand, based on the reality of distance education in our country, we can study the relationship between the factors of students' wastage, and then establish a structured model of students' wastage. On the other hand, we can use data mining method, make use of the data of educational administration management system and learning management system to establish the prediction model of student loss. Identify potential wastage students before wastage occurs so that educational institutions can take targeted retention measures.
【作者单位】：电子科技大学经济管理学院;四川广播电视大学;中央广播电视大学现代远程教育研究所;
【基金】：国家自然科学基金面上项目“远程开放教育辍学研究”(70973148)
【分类号】：G728

【参考文献】