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 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.

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Bibliographic Details
Main Authors: Villalba Condori, Klinge Orlando, Castro Cuba-Sayco, Sonia Esther, Guillen Chávez, Evelyn Paola, Deco, Claudia, Bender, Cristina
Format: Artículo biblioteca
Language:eng
Published: ACM 2019-07-30T19:26:45Z
Subjects:PROCESO DE APRENDIZAJE, ESTUDIANTES UNIVERSITARIOS, RESOLUCION DE PROBLEMAS, COMPETENCIAS, SIGLO XXI, EDUCACION,
Online Access:https://repositorio.uca.edu.ar/handle/123456789/8436
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spelling oai:ucacris:123456789-84362021-03-12T18:33:46Z Approaches of learning and computational thinking in students that get into the computer sciences career Villalba Condori, Klinge Orlando Castro Cuba-Sayco, Sonia Esther Guillen Chávez, Evelyn Paola Deco, Claudia Bender, Cristina PROCESO DE APRENDIZAJE ESTUDIANTES UNIVERSITARIOS RESOLUCION DE PROBLEMAS COMPETENCIAS SIGLO XXI EDUCACION 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. 2019-07-30T19:26:45Z 2019-07-30T19:26:52Z 2019-07-30T19:26:45Z 2019-07-30T19:26:52Z 2018 Artículo Villalba-Condori KO, Castro Cuba-Sayco SE, Guillen Chávez EP, Deco C, Bender C. Approaches of learning and computational thinking in students that get into the computer sciences career [en línea]. TEEM'18 Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality. 2018. doi: 10.1145/3284179.3284185 Disponible en: https://repositorio.uca.edu.ar/handle/123456789/8436 978-1-4503-6518-5 https://repositorio.uca.edu.ar/handle/123456789/8436 10.1145/3284179.3284185 eng Acceso Abierto http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf ACM TEEM'18 Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality
institution UCA
collection DSpace
country Argentina
countrycode AR
component Bibliográfico
access En linea
databasecode dig-uca
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de la UCA
language eng
topic PROCESO DE APRENDIZAJE
ESTUDIANTES UNIVERSITARIOS
RESOLUCION DE PROBLEMAS
COMPETENCIAS
SIGLO XXI
EDUCACION
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
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
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
topic_facet PROCESO DE APRENDIZAJE
ESTUDIANTES UNIVERSITARIOS
RESOLUCION DE PROBLEMAS
COMPETENCIAS
SIGLO XXI
EDUCACION
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 2019-07-30T19:26:45Z
url https://repositorio.uca.edu.ar/handle/123456789/8436
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