Mineração de dados aplicada a fórum de discussão: uma proposta de visualização para gestores de educação a distância

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dc.contributor.advisorNotargiacomo, Pollyana Coelho da Silva
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/5131975026612008por
dc.contributor.authorRodrigues, Fabiana Aparecida
dc.creator.Latteshttp://lattes.cnpq.br/2518309145398057por
dc.date.accessioned2017-09-22T13:33:32Z
dc.date.accessioned2020-05-28T18:08:50Z
dc.date.available2020-05-28T18:08:50Z
dc.date.issued2017-04-24
dc.description.abstractThe mechanisms for managing evaluation and analysis of writing are strategies that may help to follow the tracks of information generated throughout e-learning courses. In this research, we detail the course of techniques application and presentation of results by means of reports. Such presentation was conditioned to the set of themes and to the evaluation criterion of Discussion Forum, which was restricted to the development of a set of analysis techniques about data generated in on-line courses interactions of a school institution, in order to enable the visualization and provide conditions to evaluate the quality of posts, as professors/tutors face di culties in following the discussions due to the quantity of interactions. For this reason, this study adopted as strategy a qualitative and quantitative approach that aimed to analyze both quantity of posts of 841 participants of 18 classes within the discussion forums universe where we may nd problems, and quality of students comments during the analysis, by checking if they were suitable and if they met the objective proposed. The objective of this research was extracting comments and having relevant information about the posts. To achieve this purpose, it was developed a set of techniques in an R Markdown le to present reports with results of the evaluation based on Data Mining (DM), speci cally Text Mining (TM) and exploratory analysis, whose investigations were summative and formative. In this way, we hope that the action developed in this research may support managers to analyze students contributions and follow the work of the professional in charge of class learning. The methodology showed and the indexes used may be applied in any type of text database.eng
dc.formatapplication/pdf*
dc.identifier.citationRODRIGUES, Fabiana Aparecida. Mineração de dados aplicada a fórum de discussão: uma proposta de visualização para gestores de educação a distância. 2017. 96 f. Dissertação ( Engenharia Elétrica) - Universidade Presbiteriana Mackenzie, São Paulo .por
dc.identifier.urihttp://dspace.mackenzie.br/handle/10899/24452
dc.keywordscommunications toolseng
dc.keywordsdata miningeng
dc.keywordsartificial neural networkseng
dc.keywordse-learningeng
dc.keywordsdiscussion forumeng
dc.keywordsdata visualizationeng
dc.keywordsR studioeng
dc.languageporpor
dc.publisherUniversidade Presbiteriana Mackenziepor
dc.rightsAcesso Abertopor
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectferramentas de comunicaçãopor
dc.subjectmineração de dadospor
dc.subjectredes neurais artificiaispor
dc.subjecteducação a distânciapor
dc.subjectfórum de discussãopor
dc.subjectvisualização de dadospor
dc.subjectR studiopor
dc.subject.cnpqCNPQ::CIENCIAS EXATAS E DA TERRApor
dc.thumbnail.urlhttp://tede.mackenzie.br/jspui/retrieve/14915/FABIANA%20APARECIDA%20RODRIGUES.pdf.jpg*
dc.titleMineração de dados aplicada a fórum de discussão: uma proposta de visualização para gestores de educação a distânciapor
dc.typeDissertaçãopor
local.contributor.board1Silva, Leandro Augusto da
local.contributor.board1Latteshttp://lattes.cnpq.br/1396385111251741por
local.contributor.board2Pimentel, Edson Pinheiro
local.contributor.board2Latteshttp://lattes.cnpq.br/6163089025212520por
local.publisher.countryBrasilpor
local.publisher.departmentEscola de Engenharia Mackenzie (EE)por
local.publisher.initialsUPMpor
local.publisher.programEngenharia Elétricapor
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