Approaches of learning and computational thinking in students that get into the computer sciences career

Abstract: The way in which the student processes the information, codifies it and recovers it, constitutes its learning approach. The learning process differentiates two qualitative ways of dealing with this process: the deep approach and the superficial approach. The use of each approach depends on...

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Autores principales: Villalba Condori, Klinge Orlando, Castro Cuba-Sayco, Sonia Esther, Guillen Chávez, Evelyn Paola, Deco, Claudia, Bender, Cristina
Formato: Artículo
Lenguaje:Inglés
Publicado: ACM 2019
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Acceso en línea:https://repositorio.uca.edu.ar/handle/123456789/8436
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id I33-R139123456789-8436
record_format dspace
institution Universidad Católica Argentina
institution_str I-33
repository_str R-139
collection Repositorio Institucional de la Universidad Católica Argentina (UCA)
language Inglés
topic PROCESO DE APRENDIZAJE
ESTUDIANTES UNIVERSITARIOS
RESOLUCION DE PROBLEMAS
COMPETENCIAS
SIGLO XXI
EDUCACION
spellingShingle PROCESO DE APRENDIZAJE
ESTUDIANTES UNIVERSITARIOS
RESOLUCION DE PROBLEMAS
COMPETENCIAS
SIGLO XXI
EDUCACION
Villalba Condori, Klinge Orlando
Castro Cuba-Sayco, Sonia Esther
Guillen Chávez, Evelyn Paola
Deco, Claudia
Bender, Cristina
Approaches of learning and computational thinking in students that get into the computer sciences career
topic_facet PROCESO DE APRENDIZAJE
ESTUDIANTES UNIVERSITARIOS
RESOLUCION DE PROBLEMAS
COMPETENCIAS
SIGLO XXI
EDUCACION
description Abstract: The way in which the student processes the information, codifies it and recovers it, constitutes its learning approach. The learning process differentiates two qualitative ways of dealing with this process: the deep approach and the superficial approach. The use of each approach depends on the context. However, the adoption of a deep learning approach is positively related to the academic performance. Computational Thinking is defined as a competence of the XXI century, which allows solving problems from a computational point of view, and there is a variety of instruments that allow to measure it, and to know the state in which the evaluated student is. In this paper, we verified the existence of the positive significant relationship between the learning approach and computational thinking in students entering the career of Computer Sciences. By applying Pearson correlation test to verify the relationship between Learning Approaches and Computational Thinking, we found that both variables have homogeneous behaviors and that students show similar conditions. Men are in better conditions than women on the evaluated aspects of the Computational Thinking, Also, we found a significantly positive relationship between Computational Thinking and the Learning Approach (r = 0,882). This result shows that the learning approaches that students practice are linked to the computational thinking they demonstrate. According to the results, the teachers of this career must develop active and deep methodological strategies due to the predisposition in these students.
format Artículo
author Villalba Condori, Klinge Orlando
Castro Cuba-Sayco, Sonia Esther
Guillen Chávez, Evelyn Paola
Deco, Claudia
Bender, Cristina
author_facet Villalba Condori, Klinge Orlando
Castro Cuba-Sayco, Sonia Esther
Guillen Chávez, Evelyn Paola
Deco, Claudia
Bender, Cristina
author_sort Villalba Condori, Klinge Orlando
title Approaches of learning and computational thinking in students that get into the computer sciences career
title_short Approaches of learning and computational thinking in students that get into the computer sciences career
title_full Approaches of learning and computational thinking in students that get into the computer sciences career
title_fullStr Approaches of learning and computational thinking in students that get into the computer sciences career
title_full_unstemmed Approaches of learning and computational thinking in students that get into the computer sciences career
title_sort approaches of learning and computational thinking in students that get into the computer sciences career
publisher ACM
publishDate 2019
url https://repositorio.uca.edu.ar/handle/123456789/8436
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AT guillenchavezevelynpaola approachesoflearningandcomputationalthinkinginstudentsthatgetintothecomputersciencescareer
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