Didactic Strategy for the Teaching-Learning Process of Discrete Mathematics as Foundations in Computational Intelligence

Authors

  • Alberto Rodríguez Rodríguez Universidad Estatal del Sur de Manabi image/svg+xml
  • Alexander Mackenzie Rivero Universidad Estatal del Sur de Manabi image/svg+xml
  • Leopoldo Vinicio Venegas Loor Universidad Estatal del Sur de Manabi image/svg+xml
  • Julio Cesar Pino Tarragó Universidad Estatal del Sur de Manabi image/svg+xml

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https://doi.org/10.26910/issn.2528-8083vol3issCITT2017.2018pp15-20

Keywords :

Contextualized Strategy Process

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Abstract

The teaching strategy presented aims to provide the contextualized learning computational intelligence in correspon- dence with the needs of the information technology students. This proposal is the output of a theoretical model that structure the process of teaching and learning of computational intelligence, from the dialectical relations between its components and it is manifested as a set of actions structured in three stages, de ning their respective goals to transform the work, being done in traditional way, towards new demands of renewal in the continuous improvement that is required, in correspondence with the needs that the learning of mathematical content has for the College student, social signi cance and practical value. Assumes the contextualization as a contextual approach to the teaching of computational intelligence. The application of the teaching strategy in teaching practice con rmed its relevance, feasibility and e ectiveness through the use of empirical methods: evaluation by expert criteria, consultation with users and the pedagogical experiment in its pre-experiment variant, demonstrating favor the contextualized learning of the subject computational intelligence in the information technology students.

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References

Published

2018-02-22
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How to Cite

Didactic Strategy for the Teaching-Learning Process of Discrete Mathematics as Foundations in Computational Intelligence. (2018). Journal of Science and Research: Revista Ciencia E Investigación, 3(CITT2017), 15-20. https://doi.org/10.26910/issn.2528-8083vol3issCITT2017.2018pp15-20

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Section

Artículo de Investigación