The Review of Objectives, Methods, Tools, and Algorithms for Educational Data Mining

The remarkable growth in online learning resources, educational software, the usage of internet in the educational context, and the creation of national student information databases have produced extensive educational data repositories. Today, virtual educational systems have grown drastically and have led us to store a huge amount of potential data from a myriad of sources, with various formats and distinct levels of complexity. Particularly, lock-downs have established the fundamental necessity of online learning tools. For this reason, each educational aim has a range of specificities and characteristics. In fact, it goes along with numerous educational features requiring a specific formula to the extraction, processing and analysis of data. This is reflected in the variety and specificity of Educational Data (EDM) Mining tactics that are put in place to solve a definite educational assignment. The pivotal intention of this paper is to put forth a detailed scrutiny on the previously conducted studies related to educational data mining.