DocumentCode :
2430585
Title :
Subgroup discovery in an e-learning usage study based on Moodle
Author :
Carmona, C.J. ; González, P. ; del Jesus, M.J. ; Ventura, S.
Author_Institution :
Dept. of Comput. Sci., Univ. of Jaen, Jaen, Spain
fYear :
2011
fDate :
19-21 Oct. 2011
Firstpage :
446
Lastpage :
451
Abstract :
This paper presents an experimental study with several subgroup discovery algorithms using data from a web-based education system. The main objective of this contribution is to extract unusual subgroups to describe possible relationships between the use of the e-learning platform and marks obtained by the students. The results obtained by the best performing algorithm, NMEEF-SD, are also presented. Finally, the most representative results obtained by this algorithm are analised, in order to obtain knowledge that can allow teachers to take actions to improve student performance.
Keywords :
Internet; computer aided instruction; Moodle; NMEEF-SD; Web-based education system; e-learning usage study; modular object-oriented dynamic learning environment; subgroup discovery algorithm; Algorithm design and analysis; Data mining; Educational institutions; Electronic learning; Evolutionary computation; Fuzzy systems; Sensitivity; Evolutionary Fuzzy Systems; NMEEF-SD; Subgroup Discovery; e-learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Next Generation Web Services Practices (NWeSP), 2011 7th International Conference on
Conference_Location :
Salamanca
Print_ISBN :
978-1-4577-1125-1
Type :
conf
DOI :
10.1109/NWeSP.2011.6088221
Filename :
6088221
Link To Document :
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