An IoT dynamic and adaptive study management system for collective knowledge that uses the ENADE’s questions 122 54

Authors

  • Alexandre Wolf Universidade do Vale do Rio dos Sinos, Brazil Author
    • Jorge Barbosa Universidade do Vale do Rio dos Sinos, Brazil Author

      DOI:

      https://doi.org/10.31686/ijier.vol7.iss9.1741

      Keywords:

      IoT, ENADE, adaptive, dynamic, questionnaire, personalized

      Abstract

      This article presents an application based on a computational model for IoT, which dynamically manages and adapts the study of ENADE’s questions accordingly to the answered questionnaire. Any content that is available on the Internet can be from an IoT element, either physical or virtual. Therefore, it was created a system that provides pre-selected ENADE questions, in a synchronized way, for a group of students and, whenever they reached an average lower than the national one, other similar questions were provided with the explanation of the answer, allowing the student to achieve more familiarity with the ENADE’s questions.

      Author Biographies

      • Alexandre Wolf, Universidade do Vale do Rio dos Sinos, Brazil

        Programa de Pós-Graduação em Computação Aplicada

      • Jorge Barbosa, Universidade do Vale do Rio dos Sinos, Brazil

        Programa de Pós-Graduação em Computação Aplicada

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      Published

      2019-09-01

      Issue

      Vol. 7 No. 9 (2019): International Journal for Innovation Education and Research

      Section

      Journal Articles

      License

      Copyright (c) 2019 Alexandre Wolf, Jorge Luis Victoria Barbosa

      Creative Commons License

      This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

      Copyrights for articles published in IJIER journals are retained by the authors, with first publication rights granted to the journal. The journal/publisher is not responsible for subsequent uses of the work. It is the author's responsibility to bring an infringement action if so desired by the author for more visit Copyright & License.

      How to Cite

      Wolf, A., & Barbosa, J. L. V. (2019). An IoT dynamic and adaptive study management system for collective knowledge that uses the ENADE’s questions. International Journal for Innovation Education and Research, 7(9), 241-250. https://doi.org/10.31686/ijier.vol7.iss9.1741