A novel adaptive e-learning model based on Big Data by using competence-based knowledge and social learner activities

•A novel adaptive e-learning model in Big Data environment is proposed to improve the quality of learning process.•An efficient learner e-assessment method is provided to determine learners’ prerequisites toward the educational resource objectives.•We propose MapReduce-based GA to retrieve the FEO b...

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Vydané v:	Applied soft computing Ročník 69; s. 14 - 32
Hlavní autori:	Birjali, Marouane, Beni-Hssane, Abderrahim, Erritali, Mohammed
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.08.2018
Predmet:	Adaptive e-learning Ant colony optimization algorithms Big data Genetic algorithm Learning content MapReduce Motivation and productivity Personalized learning path Social networks analysis Learning content Personalized learning path Genetic algorithm Social networks analysis Adaptive e-learning Ant colony optimization algorithms Big data Motivation and productivity MapReduce
ISSN:	1568-4946, 1872-9681
On-line prístup:	Získať plný text
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