A Review on Predication of Students Performance Using Data Mining.
Author(s):
Aishwarya Vilasrao Kadu, Dr. G.R.Bamnote
Keywords:
Classification; Data Mining; Performance Prediction; Recommender System.
Abstract
The achievement of the good honours which is in the Undergraduate degrees which is the important in the context of Higher Education i.e (HE), and both for students and for the institutions that host them. we attempt to use data mining techniques to predict students’ outcomes based on early module performance and other student characteristics. In this paper, we work on whether the data mining can be used to highlight performance problems early in that and propose remedial actions. Many more are the some of the methods may also form the basis for recommender systems in that may guide students towards their module choices to increase the good outcomes their chances is necessary for good outcome. We use data collected through the admission process and through the students’ degrees. In this paper, we predict good honours outcomes based on data at admission also on the first year results of modules. To validate the proposed results modules, we evaluate the system whether the data relating to students with different characteristics from the different schools and the collages. Many universities have specific targets for students achieving good honor degrees.
Article Details
Unique Paper ID: 144158

Publication Volume & Issue: Volume 3, Issue 7

Page(s): 138 - 142
Article Preview & Download


Share This Article

Join our RMS



Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Latest Publication

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers