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Distance Education Evaluation: An Analysis of the β Factor from LV Model Subjectivity

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New Contributions in Information Systems and Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 353))

Abstract

This paper aims to present a pedagogical metrics β Factor of the Learning Vectors Model (LV Model) of procedural and formative evaluation as a pedagogical mediation mechanism in a Virtual Learning Environment (VLE) highlighting its contribution in the inherent subjectivities in the evaluation act. This research is characterized as a case study, as it encompasses situations experienced during an online learning course. It hopes to contribute to the improvement of tutoring by showing new routes and evaluative practices in the online learning processes and showcase strategies and pedagogical resources conducive to teaching professional development.

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Authors and Affiliations

  1. Universidade Federal do Ceará (UFC), Fortaleza Ceará, Brasil

    Eliana A. Moreira Leite, Adriano Machado, Herik Zednik & Silvania Maria Maia

  2. Instituto Federal do Ceará (IFCE), Fortaleza Ceará, Brasil

    Gilvandenys Leite Sales

Authors
  1. Eliana A. Moreira Leite
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  2. Adriano Machado
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  3. Gilvandenys Leite Sales
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  4. Herik Zednik
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  5. Silvania Maria Maia
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Corresponding author

Correspondence to Eliana A. Moreira Leite .

Editor information

Editors and Affiliations

  1. DEI/FCT, Universidade de Coimbra, Coimbra, Portugal

    Alvaro Rocha

  2. Campus de Campolide, ISEGI, Lisboa, Portugal

    Ana Maria Correia

  3. DEIS, Università della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

  4. DIS, Universidade do Minho, Guimarães, Portugal

    Luis Paulo Reis

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© 2015 Springer International Publishing Switzerland

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Leite, E.A.M., Machado, A., Sales, G.L., Zednik, H., Maia, S.M. (2015). Distance Education Evaluation: An Analysis of the β Factor from LV Model Subjectivity. In: Rocha, A., Correia, A., Costanzo, S., Reis, L. (eds) New Contributions in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 353. Springer, Cham. https://doi.org/10.1007/978-3-319-16486-1_122

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  • DOI: https://doi.org/10.1007/978-3-319-16486-1_122

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16485-4

  • Online ISBN: 978-3-319-16486-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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