Student relationship in Higher Education using Data Mining Techniques

Dr. Boumedyen Shannaq

Student relationship in Higher Education using Data Mining Techniques

Dr. Boumedyen Shannaq * §

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§ Nizwa University

Student relationship in Higher Education using Data Mining Techniques

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Abstract

The aim of research paper is to improve the current trends in the higher education systems to understand from the outside which factors might create loyal students. The necessity of having loyal students motivates higher education systems to know them well, one way to do this is by using valid management and processing of the students database. Data mining methods represent a valid approach for the extraction of precious information from existing students to manage relations with future students. This may indicate at an early stage which type of students will potentially be enrolled and what areas to concentrate upon in higher education systems for support. For this purpose the data mining framework is used for mining related to academic data from enrolled students. The rule generation process is based on the decision tree as a classification method. The generated rules are studied and evaluated using different evaluation methods and the main attributes that may affect the student’s loyalty have been highlighted. Software that facilitates the use of the generated rules is built using VB.net programming language which allows the higher education systems to predict thestudent’s loyalty (numbers of enrolled students) so that they can manage and prepare necessary resources for the new enrolled students.

References

14 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Shannaq. 1970. "Student relationship in Higher Education using Data Mining Techniques". Global Journal of Computer Science and Technology GJCST Volume 10 (GJCST Volume 10 Issue 11).

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GJCST Volume 10 Issue 11

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Submission ReceivedFebruary 12, 2010
Peer Review Double Blind
Handling Editor
Accepted March 3, 2010
Published March 15, 2010

Version of record

v1.2

Issue date

October 10, 2010

Language

English

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Article Matrices

Total Score: 168

Country: Oman

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Boumedyen Shannaq, Victor, Rafael (PhD/Dr. count: 1)

View Count (all-time): 181

Total Views (Real + Logic): 4365

Total Downloads (simulated): 275

Publish Date: 2010 03, Mon

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Total Views: 4.4K

Total Downloads: 275

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