Title: Managing student data: a data mining-based framework for business schools

Authors: Jayanthi Ranjan

Addresses: Information Management Area, Institute of Management Technology, Raj Nagar, Ghaziabad, Uttar Pradesh, India

Abstract: The business education domain offers a fertile ground for many interesting and challenging data mining applications. Nowadays, all reputed business schools almost generate mountains of administrative data. This data is a strategic resource to business school management. Making the most use of these strategic resources will lead to the main objective of business school|s mission and vision that improves the quality of processes. To analyse students data in business schools, a deep understanding of the knowledge hidden among the data is required. Data mining techniques can be used to extract unknown patterns, which would assist decision makers to improve the decision-making and policy-making procedures. This paper demonstrates the ability of data mining in improving the student counselling processes by offering a proposed business school data mining framework. One of the objectives of this paper is to develop a holistic framework for educational purpose using data mining techniques.

Keywords: students; B-schools; business schools; student counselling; faculty; courses; data mining; patterns; student data; data management; higher education.

DOI: 10.1504/IJIOME.2011.037922

International Journal of Information and Operations Management Education, 2011 Vol.4 No.1, pp.83 - 98

Published online: 07 Feb 2015 *

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