DocumentCode :
652915
Title :
A Semi-Pareto Optimal Set based algorithm for grouping of students
Author :
Mahdi, Barati Jozan M. ; Fattaneh, Taghiyareh
Author_Institution :
Sch. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran
fYear :
2013
fDate :
13-14 Feb. 2013
Firstpage :
10
Lastpage :
13
Abstract :
Collaborative learning in traditional and e-learning environments has a significant influence on the student learning process. Forming appropriate groups of students is one of the important factors in the collaborative learning, so lots of researches have been done in this area. In this paper, the new algorithm is proposed for grouping of students that uses modified Pareto Optimal Set concept that is called Semi-Pareto Optimal Set. The main advantages of this algorithm is that it does not limit number of student attributes in forming the groups and can uses for both heterogeneous and homogeneous groups. The results indicate that the proposed algorithm has high quality in formation groups and formed groups that are efficient in two below criteria 1) intra-group fitness that is the difference between students of groups and 2) inter- group fitness that is similarity between formed groups.
Keywords :
Pareto optimisation; computational complexity; education; collaborative learning; e-learning environment; electronic learning; inter-group fitness; intra-group fitness; semi-Pareto optimal set based algorithm; student grouping; student learning process; traditional learning environment; collaborative learning; grouping of student; heterogeneous and homogeneous group; pareto optimal set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Learning and E-Teaching (ICELET), 2013 Fourth International Conference on
Conference_Location :
Shiraz
Print_ISBN :
978-1-4673-5267-3
Type :
conf
DOI :
10.1109/ICELET.2013.6681637
Filename :
6681637
Link To Document :
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