Classification Technique for Predicting Learning Behavior of Student in Higher Education

Mrs. Varsha. P. Desai

Title:
Classification Technique for Predicting Learning Behavior of Student in Higher Education

Authors:
Mrs. Varsha. P. Desai
DOI:
https://doi.org/10.31142/ijtsrd18697

Cite This Article :

Mrs. Varsha. P. Desai "Classification Technique for Predicting Learning Behavior of Student in Higher Education" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Digital Economy and its Impact on Business and Industry, October 2018, pp.163-166, URL: https://www.ijtsrd.com/papers/ijtsrd18697.pdf

Download

Abstract :
In education system it is very important to decide learning behavior of students. Today there is huge competition in higher educational institutes. Quality education is essential for facing new educational challenges. Educational Data Mining is useful to classify students according to their knowledge and learning behavior. It helps teachers to implement different teaching methodology as per learning behavior of student. Researcher used Naïve Bayes classification technique on training data set of students. Classification is a supervised learning approach which categorized data into predefined classes. The implementation is carried out using C#. Algorithm is implemented on set of multivalued attributes to predict slow learner, average learner and fast learner students. The objective of researcher is to extract hidden knowledge from dataset for prediction of learning behavior of student.

Keywords :
Training Dataset, Supervised, Unsupervised, Machine learning, Data Mining.

Publication Details:

Unique Identification Number : IJTSRD18697

Published In : Special Issue | International Conference on Digital Economy and its Impact on Business and Industry, October 2018

Page Number(s) : 163-166

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

About IJTSRD
Indexing

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.