Storage scheme for analysis of academic data and interaction of students with virtual education platforms

Abstract

Academic processes generate large volumes of data at different levels, related to learning activities and student interactions with virtual education platforms. However, the records obtained are not always used to perform various analyzes, in part, by the storage schemes that use these platforms, in disaggregated tables making it difficult to access the records of interest. The objective of this article is to present a hybrid storage scheme, which combines the relational and multi-dimensional schemes for the storage of academic data and student interactions in virtual education platforms and from there to facilitate the obtaining of information and knowledge applying diverse techniques.