摘要
随着教育信息化的普及与逐渐深入,学习管理系统已经获取并存储了大量的有关学生复杂学习行为的数据,从这些数据中挖掘出改进教学系统、提升学习效果的信息,在教育信息化领域一直有着巨大的吸引力。因此,有必要从分析数据以改进学习的角度,对日益受到关注的学习分析技术进行解读。首先,学习分析技术是测量、收集、分析和报告有关学生的学习行为以及学习环境的数据,用以理解和优化学习及其产生的环境的技术。接着,综述学习分析技术的发展,指出其在教育中有着广泛的应用前景和巨大的发展潜力:学习分析技术可作为教师教学决策、优化教学的有效支持工具,也可为学生的自我导向学习、学习危机预警和自我评估提供有效数据支持,还可为教育研究者的个性化学习设计和增进研究效益提供数据参考。最后,提出学习分析技术也存在隐私、准确性和兼容性等诸多挑战和问题。
With the popularization and penetrating of educational informatization,learning management system has acquired and stored large amounts of data of sophisticated learner activity and interaction.The analysis of the information which can be used to improve instructional system and enhance learning effect from these data has been a great attraction in the field of education informatization.In this paper,the concept of learning analytics is firstly introduced as the measurement,collection,analysis and reporting of data about learners and their contexts,for purposes of understanding and optimizing learning and the environments in which it occurs.Next,the development of learning analytics is summarized,and its wide application and potential development in education are indicated and prospected,such as： learning analytics can be used as effective support tools for instruction decision-making and optimization instruction for teacher,it can provide effective data supporting for students＇ self-directed learning,self-evaluation,learning early warning.Further,it can also offer data reference for personalized learning design and enhance research efficiency for education researchers.Finally,the challenges and problems that learning analytics are facing are pointed out,such as privacy,accuracy and compatibility.
出处
《远程教育杂志》
CSSCI
2012年第1期18-25,共8页
Journal of Distance Education
基金
国家发改委下一代互联网业务试商用及设备产业化专项"教育科研基础设施IPv6技术升级和应用示范"子项目"下一代互联网教师教育创新支持系统应用示范"(项目编号:CNGI2008-121)
湖南省教育厅资助项目"高校教师信息化教学实践智慧发展研究"(项目编号:11C0537)的研究成果之一
关键词
学习分析
学习行为
数据挖掘
教学决策
数据支持
Learning analytics
Learning behaviors
Data mining
Teaching decision making
Data support
