Mobile learning and computational thinking

Detalhes bibliográficos
Autor(a) principal: Freixo Nunes, José
Data de Publicação: 2017
Outros Autores: Cardoso, Teresa Margarida Loureiro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.2/9906
Resumo: Computational thinking can be thought of as an approach to problem solving which has been applied to different areas of learning and which has become an important field of investigation in the area of educational research. Its main conceptual tools are decomposition, pattern recognition, abstraction and algorithm design. In the project described here, this new paradigm was used with ninth grade pupils who were involved in the development of mobile applications (apps). The choice of m-learning is motivated by its many affordances for changing or adding value to learning and teaching processes. One of these is that with mobiles it is possible to carry out new types of distributed learning activities that are not strictly confined to the classroom. To support our pupils in app development, we used the conceptual tools of computational thinking and the App Inventor platform developed at MIT. We explained how software development can be made easier and more understandable without resorting to long and complex coding activities. For instance, in 1981 IBM launched the personal computer, IBM PC (Freed & Ishida, 1995) and users were able to develop their own programs using a BASIC programming language interpreter (Beginner’s All-purpose Symbolic Instruction Code) and a manual with detailed explanations on how to program, both included in the computer.
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spelling Mobile learning and computational thinkingApprendimento su dispositivi mobili e pensiero computazionaleMobile learningComputational thinkingComputational thinking can be thought of as an approach to problem solving which has been applied to different areas of learning and which has become an important field of investigation in the area of educational research. Its main conceptual tools are decomposition, pattern recognition, abstraction and algorithm design. In the project described here, this new paradigm was used with ninth grade pupils who were involved in the development of mobile applications (apps). The choice of m-learning is motivated by its many affordances for changing or adding value to learning and teaching processes. One of these is that with mobiles it is possible to carry out new types of distributed learning activities that are not strictly confined to the classroom. To support our pupils in app development, we used the conceptual tools of computational thinking and the App Inventor platform developed at MIT. We explained how software development can be made easier and more understandable without resorting to long and complex coding activities. For instance, in 1981 IBM launched the personal computer, IBM PC (Freed & Ishida, 1995) and users were able to develop their own programs using a BASIC programming language interpreter (Beginner’s All-purpose Symbolic Instruction Code) and a manual with detailed explanations on how to program, both included in the computer.Repositório AbertoFreixo Nunes, JoséCardoso, Teresa Margarida Loureiro2020-08-04T16:57:55Z20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.2/9906engFreixo Nunes, J. M. , & Loureiro Cardoso, T. M. (2017). Mobile learning and computational thinking. Italian Journal of Educational Technology, 25(2), 51-58.2532-772010.174 71/2499-4324/905info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-16T15:33:56Zoai:repositorioaberto.uab.pt:10400.2/9906Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:49:35.132101Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Mobile learning and computational thinking
Apprendimento su dispositivi mobili e pensiero computazionale
title Mobile learning and computational thinking
spellingShingle Mobile learning and computational thinking
Freixo Nunes, José
Mobile learning
Computational thinking
title_short Mobile learning and computational thinking
title_full Mobile learning and computational thinking
title_fullStr Mobile learning and computational thinking
title_full_unstemmed Mobile learning and computational thinking
title_sort Mobile learning and computational thinking
author Freixo Nunes, José
author_facet Freixo Nunes, José
Cardoso, Teresa Margarida Loureiro
author_role author
author2 Cardoso, Teresa Margarida Loureiro
author2_role author
dc.contributor.none.fl_str_mv Repositório Aberto
dc.contributor.author.fl_str_mv Freixo Nunes, José
Cardoso, Teresa Margarida Loureiro
dc.subject.por.fl_str_mv Mobile learning
Computational thinking
topic Mobile learning
Computational thinking
description Computational thinking can be thought of as an approach to problem solving which has been applied to different areas of learning and which has become an important field of investigation in the area of educational research. Its main conceptual tools are decomposition, pattern recognition, abstraction and algorithm design. In the project described here, this new paradigm was used with ninth grade pupils who were involved in the development of mobile applications (apps). The choice of m-learning is motivated by its many affordances for changing or adding value to learning and teaching processes. One of these is that with mobiles it is possible to carry out new types of distributed learning activities that are not strictly confined to the classroom. To support our pupils in app development, we used the conceptual tools of computational thinking and the App Inventor platform developed at MIT. We explained how software development can be made easier and more understandable without resorting to long and complex coding activities. For instance, in 1981 IBM launched the personal computer, IBM PC (Freed & Ishida, 1995) and users were able to develop their own programs using a BASIC programming language interpreter (Beginner’s All-purpose Symbolic Instruction Code) and a manual with detailed explanations on how to program, both included in the computer.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-01T00:00:00Z
2020-08-04T16:57:55Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.2/9906
url http://hdl.handle.net/10400.2/9906
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Freixo Nunes, J. M. , & Loureiro Cardoso, T. M. (2017). Mobile learning and computational thinking. Italian Journal of Educational Technology, 25(2), 51-58.
2532-7720
10.174 71/2499-4324/905
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