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Article . 2019
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Neutrosophic Sets and Systems
Article . 2019
Data sources: DOAJ
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Neutrosophic model to determine the degree of comprehension of higher education students in Ecuador

Authors: Jesús Estupiñan Ricardo; María Elena Llumiguano Poma; Alexandra Maribel Arguello Pazmiño; Andrea Daniela Albán Navarro; Lissette Martín Estévez; Noel Batista Hernandez;

Neutrosophic model to determine the degree of comprehension of higher education students in Ecuador

Abstract

In the process of comprehension, the previous knowledge possessed by the individuals are used to infer the meaning of certain thing, this process is fundamental for the development of the abilities and skills of the students. Neutrosophy and in particular a model based on neutrosophic sets, using results obtained through linguistic terms, are used to determine the degree of comprehension that higher education students should have. Therefore, the objective pursued in this paper is to determine the degree of understanding that higher education students in Ecuador have, in order to favor the teaching-learning process, with the specific goal of finding, from a critical perspective, new teaching goals based on a better understanding of the processes involved in understanding, in order to incorporate them into the educational teaching process.

Keywords

Comprehension, teaching-learning, Neutrosophy, teaching - educational process, abilities, skill, Electronic computers. Computer science, QA1-939, QA75.5-76.95, Mathematics

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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