A study of academic performance of business school graduates using neural network and statistical techniques

被引:30
作者
Paliwal, Mukta [1 ]
Kumar, Usha A. [1 ]
机构
[1] Indian Inst Technol, Shailesh J Mehta Sch Management, Bombay 400076, Maharashtra, India
关键词
Academic performance; Discriminant analysis; Logistic regression; Neural network; Regression analysis; REGRESSION;
D O I
10.1016/j.eswa.2008.11.003
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Over the past several years, there is tremendous increase in the number of applicants to business schools and hence adequately measuring the potential of these Students with regard to their academic performance is an important process of admission decision for any business school. In the present study, an analysis is carried Out to predict the academic performance of business school graduates using neural networks and traditional statistical techniques and results are compared to evaluate the performance of these techniques. The underlying constructs in a traditional business school curriculum are also identified and its relevance with the various elements of admission process is presented. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:7865 / 7872
页数:8
相关论文
共 28 条
[1]  
Adams AJ., 2000, College Student Journal, P211
[2]  
Ahmadi M., 1997, Education, V117, P540
[3]  
Anderson T. W., 1984, An introduction to multivariate statistical analysis, V499
[4]  
[Anonymous], 1994, An introduction to the bootstrap: CRC press
[5]  
Bishop Christopher M, 1995, Neural networks for pattern recognition
[6]  
Braunstein A.W., 2002, COLL STUD J, V36, P471
[7]   REGULARIZATION THEORY AND NEURAL NETWORKS ARCHITECTURES [J].
GIROSI, F ;
JONES, M ;
POGGIO, T .
NEURAL COMPUTATION, 1995, 7 (02) :219-269
[8]   COMPARATIVE-STUDY OF ARTIFICIAL NEURAL-NETWORK AND STATISTICAL-MODELS FOR PREDICTING STUDENT GRADE-POINT AVERAGES [J].
GORR, WL ;
NAGIN, D ;
SZCZYPULA, J .
INTERNATIONAL JOURNAL OF FORECASTING, 1994, 10 (01) :17-34
[9]   THE MEANING AND USE OF THE AREA UNDER A RECEIVER OPERATING CHARACTERISTIC (ROC) CURVE [J].
HANLEY, JA ;
MCNEIL, BJ .
RADIOLOGY, 1982, 143 (01) :29-36
[10]  
Hardgrave B. C, 1994, COMPUTERS OPERATIONS, V29, P49