VITA - Estimando a satisfacão de estudantes por meio da Análise de Sentimentos | Zendy

Leonardo Preuss | Zendy; Joel Dos Santos | Zendy; Gustavo Paiva Guedes | Zendy

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VITA - Estimando a satisfacão de estudantes por meio da Análise de Sentimentos

Author(s) -

Leonardo Preuss,

Joel Dos Santos,

Gustavo Paiva Guedes

Publication year - 2018

Publication title -

anais do ... simpósio brasileiro de informática na educação/anais do simpósio brasileiro de informática na educação

Language(s) - English

Resource type - Conference proceedings

eISSN - 2316-6533

pISSN - 2176-4301

DOI - 10.5753/cbie.sbie.2018.1143

Subject(s) - feeling , vocational education , psychology , evasion (ethics) , identification (biology) , medical education , dropout (neural networks) , work (physics) , perception , face (sociological concept) , quality (philosophy) , social psychology , pedagogy , computer science , sociology , medicine , engineering , philosophy , mechanical engineering , machine learning , botany , immune system , epistemology , neuroscience , immunology , biology , social science

Public universities around the world face a serious and recurring problem: the high dropout rate of undergraduate students. Besides vocational and financial issues, several causes were pointed to such problem, like the teaching quality, low performance on basic disciplines and also the student dissatisfaction, which is a highly responsible indicator for its evasion on higher education. In this sense, the current work proposes a platform for improving studentteacher interaction easying the teacher identification and solving of problems that responds to student’s dissatisfaction. Preliminary results demonstrate success on improving teacher’s perception about the student.

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