Mining Educational Data from Student’s Management System
Year: 2017
Type: article
Abstract: Database management systems have grown exponentially since their inception. This has led to a huge amount of data, but notknowledge. The same is the case for the educational sector, where data is plenty, but the advantages that can be inferred from this data are lean.Thus, educational data mining is a manifesting branch of knowledge concerned with evolving methods for discovering knowledge from datawhich comes from the educational domain. This paper is the outcome of a research carried out on students of a coaching class. The data includesfive years of student data to which several mining techniques have been applied. We have used the classification rules to predict the performanceof the student in competitive exams. This helps the teachers in early identification of the weaker students or students who need more attentionand allow them to act appropriately, eventually increasing the result of the class.Keywords: Educational Data Mining (EDM), Prediction, Classification, Naïve Bayesian model
Author: Mundada, Oshin
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W7219804436