Educational data mining using jmp

TL;DR

This paper applies educational data mining techniques using SAS JMP software to analyze student data from various colleges, uncovering insights related to course, gender, and caste categories.

Contribution

It presents a comparative study of student data across different categories using visualization tools in JMP, highlighting the potential of data mining in higher education.

Findings

Insights into student performance across categories

Effective visualization of educational data

Potential for improving educational quality

Abstract

Educational Data Mining is a growing trend in case of higher education. The quality of the Educational Institute may be enhanced through discovering hidden knowledge from the student databases/ data warehouses. Present paper is designed to carry out a comparative study with the TDC (Three Year Degree) Course students of different colleges affiliated to Dibrugarh University. The study is conducted with major subject wise, gender wise and category/caste wise. The experimental results may be visualized with Scatterplot3D, Bubble Plot, Fit Y by X, Run Chart, Control Chart etc. of the SAS JMP Software.