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Cloud computing service for knowledge assessment and studies recommendation in crowdsourcing and collaborative learning environments based on social network analysis

  • Interactions among people have substantially changed since the emergence of social networks, the expansion of the Internet and the proliferation of connected mobile devices, and so have the possibilities of collaborative learning, with the inclusion of new e-learning platforms. From this point, assessing human knowledge in these virtual environments is not a trivial task. This work presents a novel cloud-computing-based service which relies on advanced artificial intelligence mechanisms to infer knowledge and interest from users considering the aggregated data presented from/to these users in different social networks. This way it is possible to assess with a certain degree of confidence the user knowledge level in different topics as well as recommend additional specific education related to his/her former studies in order to get a better/desired job.
Metadaten
Author:Prof. Dr. Vladimir Stantchev, Ph.D , M.Sc. Lisardo Prieto-González, Prof. Dr. Gerrit Tamm
Parent Title (English):Computers in Human Behavior
Document Type:Article
Language:English
Date of Publication (online):2016/07/05
Year of first Publication:2015
Publishing Institution:SRH Berlin University of Applied Sciences
Release Date:2016/07/05
Tag:Artificial Immune System; Cloud Computing; Collaborative Learning; Crowdsourcing
Volume:51
Issue:B
First Page:762
Last Page:770
Note:
Volltext ist aus urheberrechtlichen Gründen nicht verfügbar.
Full text due to copyright not available.
Link author profile:https://www.srh-berlin.de/hochschule/hochschulteam/tamm-gerrit/
Link author profile:https://www.srh-berlin.de/hochschule/hochschulteam/stantchev-vladimir/
JEL-Classification:Y Miscellaneous Categories
Licence (German):License LogoCreative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung
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