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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, 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):2015/08/18
Publishing Institution:SRH Berlin University of Applied Sciences
Release Date:2015/09/03
Tag:Artificial Immune System; Big Data; Collaborative learning; Knowledge representation model; Social networks; e-learning
Volume:51
First Page:762
Last Page:770
Note:
Volltext aus urheberrechtlichen Gründen nicht verfügbar.
Fulltext due to copyright not available.
Link author profile:https://www.srh-berlin.de/hochschule/hochschulteam/stantchev-vladimir/
Link author profile:https://www.srh-berlin.de/hochschule/hochschulteam/tamm-gerrit/
Impact Factor:2.694
Ranking Factor:1.582
Institutes:Institute of Information Systems (IIS, SRH Berlin)
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International
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