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Entre Ciencia e Ingeniería
Article . 2019 . Peer-reviewed
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Episteme vs. Tekné: una aproximación al aprendizaje de la programación de computadores en Ingeniería de Sistemas

Authors: Omar Iván Trejos Buriticá;

Episteme vs. Tekné: una aproximación al aprendizaje de la programación de computadores en Ingeniería de Sistemas

Abstract

This article exposes the results of a research made in the classroom looking for establishing elements of comparative judgment that would allow comparing two teaching strategies, and their impact on learning, of computer programming in a Systems Engineering program. The two strategies to be compared consist of the teaching of the logic of programming (the episteme) or the teaching of its application reflected in a programming language (tekné). In order to measure the impact of the two strategies on the learning of programming, Programming I courses were divided into two subgroups so that a comparative follow-up could be carried out permanently. The process was carried out with the 1st semester of Systems Engineering of a public university. The results were measured quantitatively from identical written evaluations and under highly similar conditions for their resolution. A qualitative approach was also made based on the opinion of the students at the end of the course. It is concluded that the teaching of the episteme of programming seems to be much more relevant than its application since the student can go from the 1st to the other. However, there were cases in which some students, from the study of the programming language, were able to infer the underlying concepts of the relevant logic.

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Keywords

Aprendizaje, Computers, computadores, learning,, tekné., programación, programming, episteme

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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!
0
Average
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