A Study on the Application of Big Data to the Korean College Education System.

Big data are referred to bulk data which cannot be collected, saved, and analyzed with the traditional data analysis tools. The field of learning analysis, which has consistently appeared on the Horizon Report from New Media Consortium for the recent years, is receiving fresh attention with the proliferation of big data. The purpose of this study is to examine the environment for the learning analytics, a branch field of big data, to be applied to the Korean education curricular and its possibility and find out how to improve them. First, as an application of a new technology involves side effects in most cases, it is desirable that potential problems be considered from the beginning and negative effects be minimized. Second, the learning analytics begins with securing sufficient data, and a data exchange system should be established for setting up the data ecology. Third, as big data are applied to public data and the corporate business areas and frequently mentioned in the media, the expectation for their potential growth is reaching its peak. [ABSTRACT FROM AUTHOR]

Copyright of Procedia Computer Science is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)