Experiences in Learning Problem-Solving through Computational Thinking

Computational Thinking (CT) represents a possible alternative for improving students’ academic performance in higher level degree related to Science, Technology, Engineering and Mathematics (STEM). This work describes two different experimental proposals with the aim of introducing computational thi...

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Autores principales: Fernández, Jacqueline, Zúñiga, Mariela Elizabeth, Rosas, María Verónica, Guerrero, Roberto A.
Formato: Articulo
Lenguaje:Inglés
Publicado: 2018
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/70118
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id I19-R120-10915-70118
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
computational thinking
higher education
problem solving
Educación Superior
Solución de Problemas
pensamiento computacional
spellingShingle Ciencias Informáticas
computational thinking
higher education
problem solving
Educación Superior
Solución de Problemas
pensamiento computacional
Fernández, Jacqueline
Zúñiga, Mariela Elizabeth
Rosas, María Verónica
Guerrero, Roberto A.
Experiences in Learning Problem-Solving through Computational Thinking
topic_facet Ciencias Informáticas
computational thinking
higher education
problem solving
Educación Superior
Solución de Problemas
pensamiento computacional
description Computational Thinking (CT) represents a possible alternative for improving students’ academic performance in higher level degree related to Science, Technology, Engineering and Mathematics (STEM). This work describes two different experimental proposals with the aim of introducing computational thinking to the problem solving issue. The first one was an introductory course in the Faculty of Physical, Mathematical and Natural Sciences (FCFMyN) in 2017, for students enrolled in computer science related careers. The other experience was a first attempt to introduce CT to students and teachers belonging to not computer related faculties at the National University of San Luis (UNSL). Both initiatives use CT as a mean of improving the problem solving process based on the four following elementary concepts: Decomposition, Abstraction, Recognition of patterns and Algorithm. The results of the experiences indicate the relevance of including CT in the learning problem solving issue in different fields. The experiences also conclude that a mandatory CT related course is necessary for those careers having computational problems solving and/or programming related subjects during the first year of their curricula. Part of this work was presented at the XXIII Argentine Congress of Computer Science (CACIC).
format Articulo
Articulo
author Fernández, Jacqueline
Zúñiga, Mariela Elizabeth
Rosas, María Verónica
Guerrero, Roberto A.
author_facet Fernández, Jacqueline
Zúñiga, Mariela Elizabeth
Rosas, María Verónica
Guerrero, Roberto A.
author_sort Fernández, Jacqueline
title Experiences in Learning Problem-Solving through Computational Thinking
title_short Experiences in Learning Problem-Solving through Computational Thinking
title_full Experiences in Learning Problem-Solving through Computational Thinking
title_fullStr Experiences in Learning Problem-Solving through Computational Thinking
title_full_unstemmed Experiences in Learning Problem-Solving through Computational Thinking
title_sort experiences in learning problem-solving through computational thinking
publishDate 2018
url http://sedici.unlp.edu.ar/handle/10915/70118
work_keys_str_mv AT fernandezjacqueline experiencesinlearningproblemsolvingthroughcomputationalthinking
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AT guerrerorobertoa experiencesinlearningproblemsolvingthroughcomputationalthinking
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