期刊名称：International Journal of Educational Technology in Higher Education
印刷版ISSN：1698-580X
电子版ISSN：2365-9440
出版年度：2015
卷号：12
期号：3
页码：98-112
语种：English
出版社：Springer Verlag
摘要：Technological progress in recent decades has enabled people to learn in different ways. Universities now have more educational models to choose from, i.e., b-learning and e-learning. Despite the increasing opportunities for students and instructors, online learning also brings challenges due to the absence of direct human contact. Online environments allow the generation of large amounts of data related to learning/teaching processes, which offers the possibility of extracting valuable information that may be employed to improve students’ performance. In this paper, we aim to review the similarities and differences between Educational Data Mining and Learning Analytics, two relatively new and increasingly popular fields of research concerned with the collection, analysis, and interpretation of educational data. Their origins, goals, differences, similarities, time evolution, and challenges are addressed, as are their relationship with Big Data and MOOCs.
关键词：online learning, Educational Data Mining, Learning Analytics, Big Data;aprendizaje en línea, minería de datos educativos, análisis de datos sobre aprendizaje, macrodatos;aprenentatge en línia, mineria de dades educatives, anàlisi de dades sobre aprenentatge, dades massives
