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Title:
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MODELLING COLLABORATIVE COMPETENCE LEVEL USING MACHINE LEARNING TECHNIQUES |
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Author(s):
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Laura Mancera Valetts , Silvia Baldiris Navarro , Ramón Fabregat Gesa |
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ISBN:
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978-972-8924-58-4 |
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Editors:
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Miguel Baptista Nunes and Maggie McPherson (series editors: Piet Kommers, Pedro Isaías and Nian-Shing Chen) |
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Year:
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2008 |
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Edition:
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V II, 2 |
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Keywords:
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Competence based E-learning process, User modelling, Collaborative Competency Level, Machine Learning, Learning
Management System. |
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Type:
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Short Paper |
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First Page:
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56 |
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Last Page:
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60 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Using open e-learning platforms as a tool to support the learning process has become an international tendency.
Specially, in order to motivate the achievement of desired competences in a lifelong learning process. In this context,
personalization of the e-learning process according to user characteristic is a critical point, in particular, to deliver
activities or learning resources adjusted to the user. In this paper, we are focusing in how to model the collaborative
competences level achieved for users in a virtual learning environment. With this proposal, a user model based on
competences definition and also on user interaction is proposed. Two Machine Learning techniques have been applied in
order to generate the proposed model, specifically Clustering Techniques. |
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