Data Analytics and Visualization of Educational Data, Students' Academic Records as a Case Study

Abstract

With the rapid increase of existing unused data records, the need of making use of this data became vital. Data mining (DM) is among the latest technologies that many researchers pay attention to currently. By applying data mining techniques, data can be analyzed, conclusions can be drawn, and future decisions quality can be improved. The goal of this study to perform a systematic literature review of educational data analytics and visualization. We review existing work in this field from four perspectives. Prior similar work must be taken into consideration to be reviewed and analyzed. Hence, a Systematic Literature Review (SLR) was carried out to review the research that has been done, which is relevant to the field of the study. In the first place, 180 papers were retrieved by a manual search in five databases and 27 primary studies were finally included. The findings deliverables determined the literature review on educational data mining and visualization. Moreover, commonly used data mining techniques are identified.