An Analysis of Students’ Academic Record Using Data Mining Techniques and Identification of Key Factors to Aid Students’ Performance
DOI:
https://doi.org/10.3329/gubjse.v5i1.47900Keywords:
data mining; classification; Decision Tree; Naïve Bayes; SVMAbstract
With the improvement of information technology, presently educational institutions generally store and compile a huge volume of students’ data. This huge volume of data can be analyzed using different data mining techniques and extract hidden relation between students’ result with other academic attributes. The main objective of this paper is to evaluate the impact of different academic attributes on the students’ final result using data mining techniques. We used different data mining techniques to analyze students data collected from Green University of Bangladesh. We applied three well-known classification algorithms namely Decision Tree, Naïve Bayes, and SVM to develop a prediction model that can suggest probable grade by analyzing parameters like the midterm, attendance, assignment, presentation, class test, final, and CT marks. Our goal is to find out the key factors playing as a catalyst for getting good or bad CGPA. Through this research, the university authority will get the knowledge about key factors playing significant role in students’ result that will help them to take proper decisions to improve students’ grade that in turns will reduce students’ dropout.
GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 5(1), Dec 2018 P 45-50
Downloads
2
2
Downloads
Published
How to Cite
Issue
Section
License
Authors who publish in the GUB Journal of Science and Engineering agree to the following terms that:
- Authors retain copyright and grant the GUB Journal of Science and Engineering the right of first publication of the work.
Articles in GUB Journal of Science and Engineering are licensed under a Creative Commons CC BY-NC-ND License Attribution-NonCommercial-NoDerivatives 4.0 International License. This license permits Share — copy and redistribute the material in any medium or format.
Copyright and Reprint Permissions
- Individual contributions contained in it are protected by the copyright of Green University of Bangladesh.
- Photocopies of this journal in full or parts for personal or classroom usage may be allowed provided that copies are not made or distributed for profit or commercial advantage and the copies bear this notice and the full citation.
- Copyright for components of this work owned by others must be honored. Abstracting with credit is permitted.
- Specific permission of the publisher and payment of a fee are required for multiple or systemic copying, advertising or promotional purposes, resale, republishing, posting on servers, redistributing to lists and all forms of document delivery.
- Subscribers may reproduce a table of contents or prepare lists of articles including abstracts for internal circulation within their institutions.
- Permission of the Publisher is required for resale and distribution outside the institution. Permission of the publisher is required for all other derivative works, including compilations and translations.
- Except as outlined above, no part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, such as electronic, mechanical, photocopying, magnetic recording or otherwise, without prior written permission of the publisher.
- Permissions may be sought directly from the office of the executive editor of GUB Journal of Science and Engineering through E-mail at gubjse@fse.green.edu.bd.
Notice
- Responsibility for the contents of an article rests upon the author(s) and not upon the editor or the publisher. Therefore, on responsibility is assumed by the publisher for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any methods, product instructions or ideas contained in the material herein.
