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MeL: A dynamic adaptive model of the learning process in eLearning
Journal article   Open access   Peer reviewed

MeL: A dynamic adaptive model of the learning process in eLearning

M. Sanchez-Santillan, M.P. Paule-Ruiz, R Cerezo and V. Alvarez-Garcia
Anales de Psicología / Annals of Psychology, Vol.32(1), pp.106-114
2016
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Abstract

E-learning adaptive hypermedia self regulated learning learning management systems higher education
The use of the Internet has been progressively integrated into our daily lives. This has also been true for all levels of education, where virtual learning environments have been the means by which teachers, students and educational institutions managed and distributed educational experiences. However, the present design of these systems make students have difficulties in deploying their meta-cognitive skills, in addition to producing a cognitive overload due to an inadequate content organization and navigation. Thus, it is necessary to provide learning platforms with a process that allows for the adaptation of these systems to students’ characteristics, needs and context in order to enhance the teaching-learning process. This paper describes an adaptive model for Learning Management Systems (LMSs) that using variables central to the learning process allows for the application of adaptive rules to the different types of contents and knowledge to be transferred and acquired. In practice, the resulting model allows to develop adaptive courses that support and promote learning and self-regulation in virtual learning environments.

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UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#4 Quality Education

Source: InCites

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
6 Social Sciences
6.11 Education & Educational Research
6.11.31 Self-Regulated Learning
Web Of Science research areas
Psychology
Psychology, Multidisciplinary
ESI research areas
Psychiatry/Psychology
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