• C.v.keerthi
• N.Nishitha

Evaluating students' learning performance is a fundamental aspect of evaluating any educational institution. When addressing challenges related to the learning process, student performance is critical, and it is one of the key factors used to quantify learning outcomes. The topic of research known as educational data mining (EDM) has grown out of the potential to leverage data knowledge to enhance educational systems. EDM is the development of methods to analyze data collected from educational environments, enabling a more complete and precise understanding of students and the enhancement of their educational results.

Keywords — Evaluating, fundamental, critical , quantify , data mining , poptential , leverage , enchancement , research , precising ,

"Early Predicting Of Students Performance In Higher Education ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.c125-c129, May-2024, Available :http://www.jetir.org/papers/JETIR2405215.pdf

"Early Predicting Of Students Performance In Higher Education ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppc125-c129, May-2024, Available at : http://www.jetir.org/papers/JETIR2405215.pdf