International Journal Of Imaging

Abstract

Analyzing Student Performance Prediction through Machine Learning: A Review

Author: Dr. FARHEEN SULTANA, Mrs. NAZIA AMREEN, Mrs. TAHERA ABID

Abstract:

Education is only one of several fields that has benefited greatly from data science and machine learning's long history of organisation and impact. An area of AI known as "machine learning" allows computers to "learn" from data and draw conclusions on their own. A new method for evaluating students' progress in school has emerged thanks to advancements in data mining and machine learning in the field of education. One of the most significant measures for measuring education that impacts university accreditation is student performance evaluation. These schools need to start helping their low- performing pupils as part of a larger effort to boost student performance. In the end, it benefits both students and educators by facilitating the resolution of issues related to student learning and educator pedagogy. The purpose of this review study is to examine the research on student performance prediction with a focus on identifying poor performers. According to the report, sever