About this paper

Appears in:
Pages: 2424-2434
Publication year: 2013
ISBN: 978-84-616-2661-8
ISSN: 2340-1079

Conference name: 7th International Technology, Education and Development Conference
Dates: 4-5 March, 2013
Location: Valencia, Spain

PERFORMANCE STUDY OF DATA MINING TECHNIQUES TO IMPROVE THE ADAPTION LEARNING IN E-LEARNING SYSTEM

This paper answers the question of how data mining could be applied in E-learning systems as a way to predict students’ grades from their behavior in perquisite learning modules. It helps earlier in detecting the particular dropouts along with students exactly who need unique attention and invite the teacher to deliver appropriate advising/counseling. Data Mining is really a multidisciplinary area focusing on methodologies for extracting valuable knowledge coming from students log and there are many useful data mining methods to extracting the data. This knowledge can be used to increase the caliber of education. Data mining can be employed for selection making in educational process. A decision tree classifier is powerful and popular tools for classification and prediction. It is applied on students’ past performance data to generate the model and this model can be used to predict the students’ performance.
@InProceedings{HEGAZY2013PER,
author = {Hegazy, A. and Elfharkrny, E.F. and Nafea, S.M.},
title = {PERFORMANCE STUDY OF DATA MINING TECHNIQUES TO IMPROVE THE ADAPTION LEARNING IN E-LEARNING SYSTEM},
series = {7th International Technology, Education and Development Conference},
booktitle = {INTED2013 Proceedings},
isbn = {978-84-616-2661-8},
issn = {2340-1079},
publisher = {IATED},
location = {Valencia, Spain},
month = {4-5 March, 2013},
year = {2013},
pages = {2424-2434}}
TY - CONF
AU - A. Hegazy AU - E.F. Elfharkrny AU - S.M. Nafea
TI - PERFORMANCE STUDY OF DATA MINING TECHNIQUES TO IMPROVE THE ADAPTION LEARNING IN E-LEARNING SYSTEM
SN - 978-84-616-2661-8/2340-1079
PY - 2013
Y1 - 4-5 March, 2013
CI - Valencia, Spain
JO - 7th International Technology, Education and Development Conference
JA - INTED2013 Proceedings
SP - 2424
EP - 2434
ER -
A. Hegazy, E.F. Elfharkrny, S.M. Nafea (2013) PERFORMANCE STUDY OF DATA MINING TECHNIQUES TO IMPROVE THE ADAPTION LEARNING IN E-LEARNING SYSTEM, INTED2013 Proceedings, pp. 2424-2434.
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