Mining Educational Data to Analyze Students' Behavior and Performance

Predicting and supporting students' behavior turns out to be all the more difficult because of the vast volume of information in educational databases. Currently in Lebanon, the absence of existing system to dissect and screen or the student performance and progress is not used. We analyze educational data to figure out the reasons behind students' behaviors and make a decision for solutions and treatment paths. A systematical system on anticipating student performance is proposed by utilizing mining data procedures to enhance students' accomplishments. We could actually improve students' achievement, success, and bring the benefits and impacts to students, educators and academic institutions. This paper centers on how the expectation calculation can be utilized to distinguish the most imperative qualities in students' information (behavior). We could really enhance students' accomplishment, achievement, and convey the benefits and effects to students, instructors and scholarly establishments.