期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：11
页码：669-676
出版社：Science and Information Society (SAI)
摘要：The personalization of Learning Management Systems
is a fundamental task in the current context of e-Learning
and the WWW. However, there are many controversies around
the criteria used to make the selection and presentation of the
most appropriate content for each user. The most used approaches
in the last decade were the identification of learning styles,
the analysis of the history and navigational behavior, and the
classification of user profiles, without finding conclusive evidence
to determine a method that can be adopted universally, considering
the complexity of the cognitive processes involved. This
paper proposes an approach based on multi-attribute decision
making techniques, which allows considering and combining the
criteria most effectively used in the area, according to particular
contexts, as a new approach to the content personalization and
appropriate learning objects selection. The application of this
approach aims to maximize the effectiveness and efficiency of
the teaching process and enrich the user experience.
