Mobile learning and computational thinking

Bibliographic Details
Main Author: Freixo Nunes, José
Publication Date: 2017
Other Authors: Cardoso, Teresa Margarida Loureiro
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.2/9906
Summary: 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/10400.2/9906eng2532-772010.174 71/2499-4324/905info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-26T09:36:08Zoai:repositorioaberto.uab.pt:10400.2/9906Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T21:02:56.320875Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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
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10.174 71/2499-4324/905
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