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Title:
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SELF-ORGANIZING MAPS FOR CONTENT ADAPTATION: A SUPPORT FRAMEWORK FOR LEARNING CONTENT MANAGEMENT SYSTEMS |
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Author(s):
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Alexandre Paulo da Silva, Fabiano Rodrigues Ferreira, Marco Pessota, Vagner Brentan, Renata Viana de Barros Thomé |
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ISBN:
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978-972-8939-38-0 |
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Editors:
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Miguel Baptista Nunes and Pedro Isaías |
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Year:
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2011 |
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Edition:
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Volume I |
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Keywords:
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Meaningful Learning, Self-Organizing Maps, Konets, Learning Content Management Systems. |
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Type:
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Full Paper |
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First Page:
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219 |
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Last Page:
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226 |
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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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Students that use Learning Content Management Systems may have some problems concerning the lack of incentive to an education that leads them to reflect about their own reality. Due to some LCMS, in general, do not permit a native dynamic content adaption, educational process aid by computers using LCMS, are in some cases characterized by an uncontextualized learning that diminish students potential for reflection. Thus, it is necessary to have some mechanisms that could help the adaptation to students cultural context, leading to a meaningful learning. In the actual scenario, leaning objects delivered by LCMS do not necessarily reflect the real expectation of students concerning their necessities about the content. In this way, this work focuses a support adaptive architecture, applied to Learning Content Management System. Self Organizing Maps are used to create an adaptive connectable framework that helps LCMS in the delivering content task, introducing some parts of software that can be used by any LCMS platform. |
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