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International Conference on Applied Human Factors and Ergonomics

AHFE 2020: Advances in Human Factors in Training, Education, and Learning Sciences pp 106–111Cite as

Matrix for the Planification from the Formative and Scientific Investigation that Helps the Teaching-Learning Process

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1211))

Abstract

The purpose of this research was to develop a matrix that helps in the planning of formative scientific research, which facilitates the teaching-learning process. The result is a matrix that integrates all the elements of the research plan scheme managed by the State Polytechnic University of Carchi. The main results were: a) a matrix as a teaching resource for the teaching-learning process of formative scientific research. b) improves the median of the grades of the students of the Research Methodology discipline of the Tourism career in 2015, 2016 and 2017 in relation to the students who studied with the traditional teaching methodology. Observable in the chart of boxes and mustaches. And, c) applying the Z test of means in R, it is evident that there is a difference between the means of the two methodologies.

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Author information

Authors and Affiliations

  1. Universidad Politécnica Estatal del Carchi, Tulcán, Ecuador

    César Enríquez, Georgina Arcos & Cintia Chugá

Authors
  1. César Enríquez
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  2. Georgina Arcos
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  3. Cintia Chugá
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Corresponding author

Correspondence to César Enríquez .

Editor information

Editors and Affiliations

  1. Department of Maritime Operations, University of South-Eastern Norway, Borre, Norway

    Salman Nazir

  2. University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  3. University of Central Florida, Winter Park, FL, USA

    Waldemar Karwowski

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Enríquez, C., Arcos, G., Chugá, C. (2020). Matrix for the Planification from the Formative and Scientific Investigation that Helps the Teaching-Learning Process. In: Nazir, S., Ahram, T., Karwowski, W. (eds) Advances in Human Factors in Training, Education, and Learning Sciences. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1211. Springer, Cham. https://doi.org/10.1007/978-3-030-50896-8_16

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