Few years ago, the information flow in education field was relatively simple and the application of technology was limited. However, as we progress into a more integrated world where technology has become an integral part of the business processes, the process of transfer of information has become more complicated. Today, one of the biggest challenges that educational institutions face is the explosive growth of educational data and to use this data to improve the quality of managerial decisions. Data mining techniques are analytical tools that can be used to extract meaningful knowledge from large data sets. This paper addresses the applications of data mining in educational institution to extract useful information from the huge data sets and providing analytical tool to view and use this information for decision making processes by taking real life examples.

Download PDF

References

1. C. Romero, S. Ventura, E. Garcia, 'Data mining in course management systems: Moodlecase study and tutorial', Computers & Education, Vol. 51, No. 1, pp. 368-384, 2008
2. C. Romero, S. Ventura 'Educational data Mining: A Survey from 1995 to 2005', ExpertSystems with Applications (33), pp. 135-146, 2007
3. Shaeela Ayesha, Tasleem Mustafa, Ahsan Raza Sattar, M. Inayat Khan, “Data Mining Modelfor Higher Education System”, Europen Journal of Scientific Research, Vol.43, No.1, pp.24- 29, 2010
4. K. H. Rashan, Anushka Peiris, “Data Mining Applications in the Education Sector”, MSIT, Carnegie Mellon University, retrieved on 28/01/2011
5. Han Jiawei, Micheline Kamber, Data Mining: Concepts and Technique. Morgan Kaufmann Publishers,2000
6. W.M.R. Tissera, R.I. Athauda, H. C. Fernando “Discovery of Strongly Related Subjects inthe Undergraduate Syllabi using Data Mining”, IEEE International Conference on Information Acquisition, 2006
7. Sri Lanka Institute of Information Technology, http://www.sliit.lk/, retrieved on 28/02/2011
8. Sun Hongjie, “Research on Student Learning Result System based on Data Mining”, IJCSNSInternational Journal of Computer Science and Network Security, Vol.10, No. 4, April 2010
9. Academy Connection – Training Resources In html, http://www.cisco.com/web/learning/netacad/index, December 28th, 2005.
10. Wayne Smith, 'Applying Data Mining to Scheduling Courses at a University', Communications of the Association for Information Systems, Vol. 16, Article 23, 2005
11. Firdhous, M. F. M. (2010). Automating Legal Research through Data Mining. International Journal of Advanced Computer Science and Applications - IJACSA, 1(6), 9-16.
12. The Result Oriented Process for Students Based On Distributed Data Mining. (2010). International Journal of Advanced Computer Science and Applications - IJACSA, 1(5), 22- 25.
13. Jadhav, R. J. (2011). Churn Prediction in Telecommunication Using Data Mining Technology. International Journal of Advanced Computer Science and Applications - IJACSA, 2(2), 17-19.

Back