Algorithm-Aided Design with Python: Analysis of Technological Competence of Subjects
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10451/37964 |
Resumo: | Difficulties in learning computer programming for novices is a subject of abundant scientific literature. These difficulties seem to be accentuated in students whose academic choice is not computation, like architecture students. However, they need to study programming, since it is part of the new academic curricula. The results presented here are part of a PhD research, which investigates the achievement motivation and the acquisition and transfer of programming knowledge from an online environment designed on the basis of the 4C-ID instructional design model. These results are a sociodemographic analysis, and the technological competence of these subjects. We concluded that most of the students of our sample do not know how to auto assess their ICT expertise level, because they believed that they had sufficient computational knowledge for their needs. However, most of them told that they had difficulties creating codes. However, they recognized the importance of learning to program, thought it was valuable for architectural students, and felt motivated to acquire this new skill. |
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Algorithm-Aided Design with Python: Analysis of Technological Competence of SubjectsAlgorithm-aided designComputer programmingPythonTechnological competencesDifficulties in learning computer programming for novices is a subject of abundant scientific literature. These difficulties seem to be accentuated in students whose academic choice is not computation, like architecture students. However, they need to study programming, since it is part of the new academic curricula. The results presented here are part of a PhD research, which investigates the achievement motivation and the acquisition and transfer of programming knowledge from an online environment designed on the basis of the 4C-ID instructional design model. These results are a sociodemographic analysis, and the technological competence of these subjects. We concluded that most of the students of our sample do not know how to auto assess their ICT expertise level, because they believed that they had sufficient computational knowledge for their needs. However, most of them told that they had difficulties creating codes. However, they recognized the importance of learning to program, thought it was valuable for architectural students, and felt motivated to acquire this new skill.MDPIRepositório da Universidade de LisboaPontes, ThiagoCelani, GabrielaLobato Miranda, Guilhermina2019-04-26T08:39:20Z20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/37964engBessa, T. B., Miranda, G. L., & Celani, G. C. (2018). Algorithm-aided design with Python: Analysis of technological competence of subjects. Education Sciences, 8(4), 200. doi: https://doi.org/10.3390/educsci80402002227-7102 (Online)https://doi.org/10.3390/educsci8040200info: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:RCAAP2023-11-08T16:35:00Zoai:repositorio.ul.pt:10451/37964Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:51:43.195639Repositório 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 |
Algorithm-Aided Design with Python: Analysis of Technological Competence of Subjects |
title |
Algorithm-Aided Design with Python: Analysis of Technological Competence of Subjects |
spellingShingle |
Algorithm-Aided Design with Python: Analysis of Technological Competence of Subjects Pontes, Thiago Algorithm-aided design Computer programming Python Technological competences |
title_short |
Algorithm-Aided Design with Python: Analysis of Technological Competence of Subjects |
title_full |
Algorithm-Aided Design with Python: Analysis of Technological Competence of Subjects |
title_fullStr |
Algorithm-Aided Design with Python: Analysis of Technological Competence of Subjects |
title_full_unstemmed |
Algorithm-Aided Design with Python: Analysis of Technological Competence of Subjects |
title_sort |
Algorithm-Aided Design with Python: Analysis of Technological Competence of Subjects |
author |
Pontes, Thiago |
author_facet |
Pontes, Thiago Celani, Gabriela Lobato Miranda, Guilhermina |
author_role |
author |
author2 |
Celani, Gabriela Lobato Miranda, Guilhermina |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Pontes, Thiago Celani, Gabriela Lobato Miranda, Guilhermina |
dc.subject.por.fl_str_mv |
Algorithm-aided design Computer programming Python Technological competences |
topic |
Algorithm-aided design Computer programming Python Technological competences |
description |
Difficulties in learning computer programming for novices is a subject of abundant scientific literature. These difficulties seem to be accentuated in students whose academic choice is not computation, like architecture students. However, they need to study programming, since it is part of the new academic curricula. The results presented here are part of a PhD research, which investigates the achievement motivation and the acquisition and transfer of programming knowledge from an online environment designed on the basis of the 4C-ID instructional design model. These results are a sociodemographic analysis, and the technological competence of these subjects. We concluded that most of the students of our sample do not know how to auto assess their ICT expertise level, because they believed that they had sufficient computational knowledge for their needs. However, most of them told that they had difficulties creating codes. However, they recognized the importance of learning to program, thought it was valuable for architectural students, and felt motivated to acquire this new skill. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 2018-01-01T00:00:00Z 2019-04-26T08:39:20Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10451/37964 |
url |
http://hdl.handle.net/10451/37964 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Bessa, T. B., Miranda, G. L., & Celani, G. C. (2018). Algorithm-aided design with Python: Analysis of technological competence of subjects. Education Sciences, 8(4), 200. doi: https://doi.org/10.3390/educsci8040200 2227-7102 (Online) https://doi.org/10.3390/educsci8040200 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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