Blended learning baseado na inteligência coletiva - BLBIC: análise de um curso de formação judiciária

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dc.contributor.advisorHardagh, Claudia Coelho
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/4855101093806729por
dc.contributor.authorSilva, José Erigleidson da
dc.creator.Latteshttp://lattes.cnpq.br/2050956253344646por
dc.date.accessioned2017-03-22T13:19:59Z
dc.date.accessioned2020-05-28T18:09:52Z
dc.date.available2020-05-28T18:09:52Z
dc.date.issued2017-02-03
dc.description.abstractIn the second half of the 21st century, Education tries to establish harmony with the cultural transformations that began in the 1950s with the computer revolution. In the current sociotechnical context, two tendencies emerge: Blended Learning and Collective Intelligence. The purpose of this thesis is to investigate the contributions of the union between Blended Learning and collective intelligence for individual and collective learning. Qualitative data comes from a bibliographical survey and data analysis from a Blended course in the scope of judicial training. To address the problem, I got theoretical input in several areas of knowledge and authors. However, I focused on the collective intelligence, especially Pierre Levy's studies, Lev Vygotsky's Sociocontrutivism, the Blended Learning investigations by Michael B. Horn and Heather Staker, as well as my Masters research on operators of Collective Intelligence in a virtual learning environment. Data analysis validated the initial hypothesis that the union between Blended Learning and collective intelligence provides a richer learning space with collaboration, participation, reflection and self-regulation of learning. Based on these results, I propose Blended Learning Based on Collective Intelligence (BLBCI).eng
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dc.identifier.citationSILVA, José Erigleidson da. Blended learning baseado na inteligência coletiva - BLBIC: análise de um curso de formação judiciária. 2017. 245 f. Tese ( Educação, Arte e História da Cultura) - Universidade Presbiteriana Mackenzie, São Paulo.por
dc.identifier.urihttp://dspace.mackenzie.br/handle/10899/24627
dc.keywordsblended learningeng
dc.keywordscollective intelligenceeng
dc.keywordsteacher trainingeng
dc.keywordseducationaleng
dc.keywordseducation technologyeng
dc.languageporpor
dc.publisherUniversidade Presbiteriana Mackenziepor
dc.rightsAcesso Restritopor
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectblended learningpor
dc.subjectinteligência coletivapor
dc.subjectformação de professorespor
dc.subjecteducaçãopor
dc.subjecttecnologia educacionalpor
dc.subject.cnpqCNPQ::CIENCIAS HUMANAS::EDUCACAOpor
dc.subject.cnpqCNPQ::CIENCIAS HUMANAS::EDUCACAO::PLANEJAMENTO E AVALIACAO EDUCACIONALpor
dc.subject.cnpqCNPQ::CIENCIAS HUMANAS::EDUCACAO::ENSINO-APRENDIZAGEM::TECNOLOGIA EDUCACIONALpor
dc.subject.cnpqCNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO::ADMINISTRACAO PUBLICA::ADMINISTRACAO DE PESSOALpor
dc.thumbnail.urlhttp://tede.mackenzie.br/jspui/retrieve/13458/Jos%c3%a9%20Erigleidson%20da%20Silva.pdf.jpg*
dc.titleBlended learning baseado na inteligência coletiva - BLBIC: análise de um curso de formação judiciáriapor
dc.typeTesepor
local.contributor.board1Pacheco, Beatriz de Almeida
local.contributor.board1Latteshttp://lattes.cnpq.br/6278009418977363por
local.contributor.board2Clementino, Adriana
local.contributor.board2Latteshttp://lattes.cnpq.br/2994551091758867por
local.contributor.board3Hessel, Ana Maria Di Grado
local.contributor.board3Latteshttp://lattes.cnpq.br/2150241303883701por
local.contributor.board4Camas, Nuria Pons Vilardell
local.contributor.board4Latteshttp://lattes.cnpq.br/1204848228722615por
local.publisher.countryBrasilpor
local.publisher.departmentCentro de Educação, Filosofia e Teologia (CEFT)por
local.publisher.initialsUPMpor
local.publisher.programEducação, Arte e História da Culturapor
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