A Study on Educational Data Mining
 | International Journal of ComputerTrends and Technology (IJCTT) |  |
| © 2014 by IJCTT Journal | ||
| Volume-8 Number-2 | ||
| Year of Publication : 2014 | ||
| Authors : Smitha Harikumar | ||
| DOI : 10.14445/22312803/IJCTT-V8P117 |
Smitha Harikumar. "A Study on Educational Data Mining". International Journal of Computer Trends and Technology (IJCTT) V8(2):90-95, February 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand students, and the settings which they learn in.Currently there is very much interest in data mining and educational systems, making educational data mining as a new growing research community. This paper surveys the application of data mining to web-based courses and adaptive and intelligent web-based educational systems. Each of these systems has different data source and objectives for knowledge discovering. After preprocessing the available data in each case, different data mining techniques can be applied.
References
[1]. Brieman, L. “Comment.” Statistical Science, 1994, 9(1), 38–42.
[2]De Veaux, R. “Data Mining: What’s New, What’s Not.” Presentation at a Data Mining . “An Exploratory Approach to Data Mining in Higher Education: A Primer and a Case Study.” Paper presented at the AIR Forum, Seattle, Wash., 2000.
[3]Luan, J., and Willette, T. “Data Mining and Knowledge Management.” Paper presented at the Research and Planning Group Conference, Lake Arrowhead, Calif., 2001.
[4]SPSS. SPSS Clementine 6.0 User’s Guide..
[5] Westphal, C., and Blaxton, T. Data Mining Solutions: Methods and Tools for Solving Real-World Problems. Wiley Computer Publishing, 1998.
[6]Educational data mining:- A survey , Expert systemswith application; C. Romero *, S. Ventura
[7]Data mining concepts and techniques-Jiawei &Micheline Kamer.
[8] Peter Brusilovsky, Adaptive Hypermedia, UserModelling and Useradapted interaction, v,11 n,1-2,p,87-110 2001.
[9]R.M.Felder, L.K.Silvermann,Learning and Teaching Styles in Engineering Education 78(7), 674-681,1988.
[10]. Paramythis,S.Loidl_REisinger, Adaptive Learning and e-learning standards, Electronic journal of e-learning, 2(1), 181-194,2004.
[11].C.Romero and S.Ventura, Data mining in e-learning.
[12] F.Esposito, O.Licchelli, G.Semeraro –Discovering student models in e-learning systems, Journalof Universal Computer Science,10(1),47-57,2004.
[13].R.Koper, D.Burgos, DesigningLearning Activities fromcontent based to context based learning services, International journal of advanced Technology for learning 2(3), 2005.
[14]http://sci2s.ugr.es/keel/pdf/keel/articulo/CAE-VersionFinal.pdf
[15]http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.103.702&rep=rep1&type=pdf
Keywords
Data mining, Educational Data mining. Exploration, modeling, pattern identification