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Effective educational process: a data‐mining approach

Jayanthi Ranjan (Information Management Area, Institute of Management Technology, Uttar Pradesh, India)
Kamna Malik (Information Management Area, Institute of Management Technology, Uttar Pradesh, India)

VINE

ISSN: 0305-5728

Article publication date: 30 October 2007

2657

Abstract

Purpose

The purpose of this paper is to develop a holistic model for educational purposes using data‐mining techniques for exploring the effects of probable changes in processes related to admissions, course delivery and recruitments.

Design/methodology/approach

The paper proposes a framework for an effective educational process using data‐mining techniques to uncover the hidden trends and patterns and making accuracy based predictions through a higher level of analytical sophistication in the process of counselling students.

Findings

Data‐mining tools are used in academia for capitalizing on the advances of information technology. This process improves research and academic decision making through uncovering hidden trends and patterns that predict using a combination of explicit knowledge base, sophisticated analytical skills and academic domain knowledge.

Originality/value

The paper presents a model using a data‐mining approach for academics.

Keywords

Citation

Ranjan, J. and Malik, K. (2007), "Effective educational process: a data‐mining approach", VINE, Vol. 37 No. 4, pp. 502-515. https://doi.org/10.1108/03055720710838551

Publisher

:

Emerald Group Publishing Limited

Copyright © 2007, Emerald Group Publishing Limited

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