Utilization of Educational Data Mining for Classifying and Predicting Students' Performance, Dropouts as Well as Teachers' Performance

Abstract

This research study has aimed to analyze the importance of educational data mining on the performance and efficiency level of teachers and students. Presently, in the competitive world, several organizations are utilizing educational data mining to enhance the performance of the educational institute to stay competitive among the competitiveness in the universities. The implication of data mining has supported the students to enhance their efficiency level through enhancing their knowledge base. On the other hand, the implication of educational data mining has also supported the teachers to track the performance of the students. As a result, they support the teachers to provide effective training and development classes to the students who are facing difficulties in the understanding of a subject. However, in this research study, the researcher has utilized a secondary qualitative method of data collection to collect the data regarding the research topic. In addition, the secondary sources of data have been collected from verified articles, websites, journals, and Google scholar to justify the aim of this research study. In the data analyst part, the research study has provided a holistic view about the way universities are utilizing the data-mining program to enhance the efficiency level of the students. Keyword :Data mining, educational data mining, Universities, students, teachers, and technology.