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Comulang: towards a collaborative e-learning system that supports student group modeling.

Troussas C, Virvou M, Alepis E - Springerplus (2013)

Bottom Line: This paper describes an e-learning system that is expected to further enhance the educational process in computer-based tutoring systems by incorporating collaboration between students and work in groups.The resulting system is called "Comulang" while as a test bed for its effectiveness a multiple language learning system is used.One of the resulting system's basic aims is to provide efficient student groups whose limitations and capabilities are well balanced.

View Article: PubMed Central - PubMed

Affiliation: Department of Informatics, University of Piraeus, Piraeus, Greece.

ABSTRACT
This paper describes an e-learning system that is expected to further enhance the educational process in computer-based tutoring systems by incorporating collaboration between students and work in groups. The resulting system is called "Comulang" while as a test bed for its effectiveness a multiple language learning system is used. Collaboration is supported by a user modeling module that is responsible for the initial creation of student clusters, where, as a next step, working groups of students are created. A machine learning clustering algorithm works towards group formatting, so that co-operations between students from different clusters are attained. One of the resulting system's basic aims is to provide efficient student groups whose limitations and capabilities are well balanced.

No MeSH data available.


Snapshot of student clustering.
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Fig1: Snapshot of student clustering.

Mentions: FigureĀ 1 is an example showing how the means m1, m2, m3 and m4 move into the centers of the clusters.Figure 1


Comulang: towards a collaborative e-learning system that supports student group modeling.

Troussas C, Virvou M, Alepis E - Springerplus (2013)

Snapshot of student clustering.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3755789&req=5

Fig1: Snapshot of student clustering.
Mentions: FigureĀ 1 is an example showing how the means m1, m2, m3 and m4 move into the centers of the clusters.Figure 1

Bottom Line: This paper describes an e-learning system that is expected to further enhance the educational process in computer-based tutoring systems by incorporating collaboration between students and work in groups.The resulting system is called "Comulang" while as a test bed for its effectiveness a multiple language learning system is used.One of the resulting system's basic aims is to provide efficient student groups whose limitations and capabilities are well balanced.

View Article: PubMed Central - PubMed

Affiliation: Department of Informatics, University of Piraeus, Piraeus, Greece.

ABSTRACT
This paper describes an e-learning system that is expected to further enhance the educational process in computer-based tutoring systems by incorporating collaboration between students and work in groups. The resulting system is called "Comulang" while as a test bed for its effectiveness a multiple language learning system is used. Collaboration is supported by a user modeling module that is responsible for the initial creation of student clusters, where, as a next step, working groups of students are created. A machine learning clustering algorithm works towards group formatting, so that co-operations between students from different clusters are attained. One of the resulting system's basic aims is to provide efficient student groups whose limitations and capabilities are well balanced.

No MeSH data available.