Research Article
Research and trends in the studies of Collective Intelligence from 2012 to 2015
@ARTICLE{10.4108/eai.26-7-2017.152905, author={Francisca Grimon and Jaime Meza and Monica Vaca-Cardenas and Jose M. Monguet}, title={Research and trends in the studies of Collective Intelligence from 2012 to 2015}, journal={EAI Endorsed Transactions on e-Learning}, volume={4}, number={14}, publisher={EAI}, journal_a={EL}, year={2017}, month={7}, keywords={Collective intelligence, teaching/learning strategies, computing, domain, knowledge, decision-making}, doi={10.4108/eai.26-7-2017.152905} }- Francisca Grimon
Jaime Meza
Monica Vaca-Cardenas
Jose M. Monguet
Year: 2017
Research and trends in the studies of Collective Intelligence from 2012 to 2015
EL
EAI
DOI: 10.4108/eai.26-7-2017.152905
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, 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 papers were selected and exposed in a document's 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.
Copyright © 2017 Francisca Grimon et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
