DocumentCode
3202165
Title
Automatic classification of students for C2i certification exam
Author
Yamna, Ettarres ; Mellouli, Khaled
Author_Institution
Larodec Lab., Univ. of Tunis, Tunis, Tunisia
fYear
2011
fDate
4-6 April 2011
Firstpage
1001
Lastpage
1006
Abstract
In Tunisia, students learn the module preparation to Computer Science and Internet Certificate PC2i in the license´s first year, using the online platform Moodle. Selection criteria of students able to obtain the certificate C2i, delivered by the Virtual University of Tunis VUT, are based on students´ marks in their exams. This work presents a new approach to classify students able to obtain the certificate C2i, using Bayesian Networks BNs for an automatic classification. Data used is based on the students´ works and interaction throw Moodle platform.
Keywords
Bayes methods; Internet; certification; computer aided instruction; Bayesian networks; Internet; Moodle platform; PC2i; Virtual University of Tunis; automatic classification; certification exam; computer science; Bayesian methods; Certification; Conferences; Databases; Engineering education; Internet; Bayesian Networks; automatic classification; decision aid; e-learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Engineering Education Conference (EDUCON), 2011 IEEE
Conference_Location
Amman
Print_ISBN
978-1-61284-642-2
Type
conf
DOI
10.1109/EDUCON.2011.5773269
Filename
5773269
Link To Document