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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.


Illustration of collaboration among student groups.
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Fig2: Illustration of collaboration among student groups.

Mentions: In case of a problem or question, the student has the possibility of collaborating with his/her peers by asking for their assistance. Then, the system sophisticatedly picks a student from another cluster in a way that s/he can help the student who asked for help through collaboration, as illustrated in FigureĀ 2. The selection of the student, who is going to provide and share knowledge to his/her peers, is conducted based on the long term student models. In particular, the students have the possibility to cooperate in order to master each one of the two languages, by sharing their knowledge of different background level. For example, when a student conducts knowledge errors or accidental slips, s/he will be proposed by the system to collaborate with a student from another cluster who avoids knowledge and accidental slips and can be helpful to their peers. Our system relies on the interdependencies among group members, such as the need for information interchange and the need for explicit knowledge sharing.Figure 2


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

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

Illustration of collaboration among student groups.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

Fig2: Illustration of collaboration among student groups.
Mentions: In case of a problem or question, the student has the possibility of collaborating with his/her peers by asking for their assistance. Then, the system sophisticatedly picks a student from another cluster in a way that s/he can help the student who asked for help through collaboration, as illustrated in FigureĀ 2. The selection of the student, who is going to provide and share knowledge to his/her peers, is conducted based on the long term student models. In particular, the students have the possibility to cooperate in order to master each one of the two languages, by sharing their knowledge of different background level. For example, when a student conducts knowledge errors or accidental slips, s/he will be proposed by the system to collaborate with a student from another cluster who avoids knowledge and accidental slips and can be helpful to their peers. Our system relies on the interdependencies among group members, such as the need for information interchange and the need for explicit knowledge sharing.Figure 2

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.