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Reseach Article

A Conceptual Model of Admission System and Performance Evaluation for a University

by Amardeep Kaur, Sucharu Hasija
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 125 - Number 4
Year of Publication: 2015
Authors: Amardeep Kaur, Sucharu Hasija
10.5120/ijca2015905896

Amardeep Kaur, Sucharu Hasija . A Conceptual Model of Admission System and Performance Evaluation for a University. International Journal of Computer Applications. 125, 4 ( September 2015), 29-33. DOI=10.5120/ijca2015905896

@article{ 10.5120/ijca2015905896,
author = { Amardeep Kaur, Sucharu Hasija },
title = { A Conceptual Model of Admission System and Performance Evaluation for a University },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 125 },
number = { 4 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 29-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume125/number4/22422-2015905896/ },
doi = { 10.5120/ijca2015905896 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:15:09.729095+05:30
%A Amardeep Kaur
%A Sucharu Hasija
%T A Conceptual Model of Admission System and Performance Evaluation for a University
%J International Journal of Computer Applications
%@ 0975-8887
%V 125
%N 4
%P 29-33
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

University admission process is a key process in a university. It affects the overall resources of the universities and its quality constraints. There are multiple constraints on which the decision to start or upgrade a typical course admission depends rather than only student to teacher ratio. There is need of effective data mining to find dependent constraints and trend, as it is suited as one of the best for analysis in education system. So firstly, a dimensional model of the university admission system is designed and then it is checked, whether the model validates the requirements or not. The study presented a way to find the trend in the education system for the courses with assessing admission capacity alongside with management and evaluation of different affecting factors on the student’s performance.

References
  1. S. Vinnik, S. Vinnik, M. H. Scholl, and M. H. Scholl, “UNICAP: Efficient Decision Support for Academic Resource and Capacity Management,” {E-Government} Towar. Electron. Democr., vol. 3416, pp. 235–246, 2005.
  2. S. Mansmann and M. H. Scholl, “Decision support system for managing educational capacity utilization,” IEEE Trans. Educ., vol. 50, no. 2, pp. 143–150, 2007.
  3. S. F. M. Dahlan and N. a. Yahaya, “A System Dynamics Model for Determining Educational Capacity of Higher Education Institutions,” 2010 Second Int. Conf. Comput. Intell. Model. Simul., pp. 285–290, 2010.
  4. F. Aduol, “A model for estimating student unit cost and staffing requirements for university academic programs with reference to Kenyan public universities,” High. Educ. Policy, vol. 14, no. 2, pp. 117–140, 2001.
  5. R. Vohra and N. Narayan Das, “Intelligent Decision Support Systems For Admission Management In Higher Education Institutes,” Int. J. Artif. Intell. Appl., vol. 2, no. 4, pp. 63–70, 2011.
  6. D. Pushkar, S. S. Kumar, and N. Surenthiran, “Factors affecting choice of Engineering Colleges in Odisha , India,” Res. J. Manag. Sci., vol. 2, no. 4, pp. 14–20, 2013.
  7. D. Deniz and I. Ersan, “An Academic Decision Support System Based on Academic Performance Evaluation for Student and Program Assessment,” Int. J. Eng. Educ., vol. 18, no. 2, pp. 236–244, 2002.
  8. N. Trivedi, “Data Mining Functions in Advanced Education,” Int. Conf. Adv. Comput. Appl., pp. 36–39, 2013.
  9. D. M. Farrell, “Dimensional Modeling : In a Business Intelligence Environment.”, IBM redbook publication, pp. 670, 2006
  10. Kimball, Ralph; Reeves, Laura; Ross, Margy; and Thornthwaite, Warren. The Data Warehouse Lifecycle Toolkit. New York: John Wiley & Sons, Inc., 1998.
  11. Y. Bassil, “A Data Warehouse Design for A Typical University Information System,” J. Comput. Sci. Res., vol. 1, pp. 12–17, 2012.
  12. B. Baradwaj and S. Pal, “Mining educational data to analyze student’s performance,” Int. J. od Advamced Comput. Sci. Appl., vol. 2, no. 6, pp. 63–69, 2012.
  13. V. P. Bresfelean, N. Ghisoiu, R. Lacurezeanu, and D. A. Sitar-Taut, “Towards the development of decision support in academic environments,” Proc. Int. Conf. Inf. Technol. Interfaces, ITI, pp. 343–348, 2009.
  14. H. M. Jani, “Intellectual Capacity Building in Higher Education : Quality Assurance and Management,” Int. Conf. New Trends, vol. 5, pp. 361–366, 2011.
  15. M. Tanna, “Decision Support System for Admission in Engineering Colleges based on Entrance Exam Marks,” vol. 52, no. 11, pp. 38–41, 2012
  16. C. Science, S. Chandrasekharendra, and S. Viswa, “An Automated Implementation of Indian University Admission,” ICTACT J. SOFT Comput., vol. 6956, no. April, pp. 767–771, 2014.
  17. Long P, Tricker T, Rangecroft M, and Gilroy P “Measuring the Satisfaction Gap: Education In the Market place”, vol.10, pp. 772-778,1999
Index Terms

Computer Science
Information Sciences

Keywords

Dimensional model Higher education Admission management system Performance Evaluation