Educational data science in massive open online courses

详细信息    查看全文

• 作者：Cristó ; bal Romero and Sebastiá ; n Ventura
• 刊名：Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
• 出版年：2017
• 出版时间：January/February 2017
• 年：2017
• 卷：7
• 期：1
• 全文大小：223K
• ISSN：1942-4795

文摘

The current massive open online course (MOOC) euphoria is revolutionizing online education. Despite its expediency, there is considerable skepticism over various concerns. In order to resolve some of these problems, educational data science (EDS) has been used with success. MOOCs provide a wealth of information about the way in which a large number of learners interact with educational platforms and engage with the courses offered. This extensive amount of data provided by MOOCs concerning students' usage information is a gold mine for EDS. This paper aims to provide the reader with a complete and comprehensive review of the existing literature that helps us understand the application of EDS in MOOCs. The main works in this area are described and grouped by task or issue to be solved, along with the techniques used. WIREs Data Mining Knowl Discov 2017, 7:e1187. doi: 10.1002/widm.1187