Educational Data Mining: Prospects and Applications

Nowadays, educational institutions gather and save a vast amount of data, including records of student enrollment, attendance, and exam outcomes. Such data can be mined to produce interesting information that is helpful to those who handle it. New ways to assess e-pedagogical learning's efficiency are required due to the increased interest in it as a crucial teaching and learning process. This paper offers a data mining research scenario for the next 20 years where the setting is e-learning, and the key topic is the assessment component, which is seen as a latent issue in this environment. Our objective is to present an understudied review of educational data mining research on the teaching and learning process while taking the viewpoint of education into consideration.