Research Article
Research and Trends in the Studies of Collective Intelligence from 2012 to 2015
@INPROCEEDINGS{10.1007/978-3-319-49625-2_22, author={Francisca Grimon and Jaime Meza and M\^{o}nica Vaca-Cardenas and Josep Monguet}, title={Research and Trends in the Studies of Collective Intelligence from 2012 to 2015}, proceedings={E-Learning, E-Education, and Online Training. Third International Conference, eLEOT 2016, Dublin, Ireland, August 31 -- September 2, 2016, Revised Selected Papers}, proceedings_a={ELEOT}, year={2017}, month={1}, keywords={Collective intelligence Teaching/learning strategies Computing Domain Knowledge Decision-making}, doi={10.1007/978-3-319-49625-2_22} }- Francisca Grimon
Jaime Meza
Mónica Vaca-Cardenas
Josep Monguet
Year: 2017
Research and Trends in the Studies of Collective Intelligence from 2012 to 2015
ELEOT
Springer
DOI: 10.1007/978-3-319-49625-2_22
Abstract
The interaction between groups of people and machines supports the transfer of knowledge and strengthen Collective Intelligence (CI) making it robust. The CI with the support of technology progresses through platforms and computer systems including ontology, clusters, agents and Web intelligence among others. This research consists of a content analysis of recent studies 2012-2015 on CI. After an extensive search of publications on electronic databases, two hundred and fifteen one papers were selected and exposed to a document analysis following the approach of Zott. In this research we identified three categories to consider: learning, technology and decision-making. The analysis revealed that CI is strongly related with technology, supporting the processes of training people and promoting collaborative learning as a new form of literacy. Another result of the analysis of literature indicates that the methods of decision-making and consensus foster collaboration and competition between individuals in order to achieve better results. Our review of the literature provides a contribution in the area of CI.
