Mining Educational Data to Improve Teachers’ Performance

Abstract

Educational Data Mining (EDM) is a new paradigm aiming to mine and extract the knowledge necessary to optimize the effectiveness of the teaching process. With normal educational system work, it’s often unlikely to accomplish fine system optimisation due to the large amount of data being collected and tangled throughout the system. EDM resolves this problem by its capability to mine and explore these raw data and as a consequence of extracting knowledge. This paper describes several experiments on real educational data wherein the effectiveness of Data Mining is explained in the migration of the educational data into knowledge. The’s experiment goal at first was to identify important factors of teacher behaviors influencing student satisfaction. In addition to presenting experiences gained through the experiments, the paper aims to provide practical guidance on Data Mining solutions in a real application.