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Social information processing / Collective intelligence / Recommender system / Learning platform / Massive open online course / Collaborative filtering / Personal learning environment / E-learning / Personalized learning / Education / Educational software / Learning


A recommendation model on personalised learning to improve the user’s performance and interaction in MOOCs and OERs Daniel Burgos and Alberto Corbí Universidad Internacional de La Rioja (UNIR) {daniel.burgos;alberto.c
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Document Date: 2014-10-30 03:50:24

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City

Cambridge / Malik / New York / /

Company

Prentice Hall Inc. / Learning Management Systems / Open Source Learning Management Systems / Kellogg / MIT Press / IRM Press / Open Educational Resources / Packt Publishing Ltd / Hershey / Amazon.com / Google / Adaptive Hypermedia Systems / Recommender Systems / /

Continent

Europe / /

Country

United States / India / /

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IndustryTerm

analytics tools / online education / Web Applications / plain online campuses / restricted social networks / online campus / educational technology / massive open online courses / Internet Computing IEEE / Web Usage Mining / neural information processing systems / Online Courses / software add-on / Online Course / social networks / compliant provider tool / Web APIs / Web Scrapping / course site / class / /

Organization

Communication Networks / MIT / US Federal Reserve / IEEE Computer Society / Computational Intelligence / /

Person

S. Lindley / P. Wadler / Bing Liu / Daniel Burgos / J. Cheney / Alberto Corbí / /

Position

tutor /teacher / teacher /tutor / tutor / designer / Hunter / tutor /manager the following actions / teacher/tutor/manager / /

ProgrammingLanguage

SQL / XML / Ruby / /

ProvinceOrState

S.K. / New York / /

Technology

SOA / Functional Programming / XML / Natural Language Processing / Education Technology / API / e-learning / /

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