Estimating the Impact of Automation on Vocational Education: The Case of Technical Courses

Detalhes bibliográficos
Autor(a) principal: Lima, Yuri
Data de Publicação: 2024
Outros Autores: Pereira, Inês
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/7853
Resumo: The present article proposes a methodology that uses Artificial Intelligence to analyze how automation affects technical courses and presents a case study that evaluates the technical courses offered by Senac from the perspective of the impact of state-of-the-art automation in seven categories of technologies. The research reveals that 39.1% of the Course Competence Indicators of the institution are at a Medium automation level, this being the most representative level. Digital Platforms and Applications emerge as the most relevant technology category, while 3D/4D Modeling/Printing is the least significant. The research presented here suggests the recurrent and lasting adaptation of the National Curricular Plans of the institution in accordance with the emergence of new technologies as well as the development of courses focused on emerging technologies, preparing students for a job market in constant and rapid change.
id SCI-1_0c8a19ff447f267b79ce89ac89dcab6c
oai_identifier_str oai:ops.preprints.scielo.org:preprint/7853
network_acronym_str SCI-1
network_name_str SciELO Preprints
repository_id_str
spelling Estimating the Impact of Automation on Vocational Education: The Case of Technical CoursesEstimando el impacto de la automatización en la Educación Profesional: El Caso de los Cursos TécnicosEstimando o impacto da automação sobre a Educação Profissionalizante: o caso dos cursos técnicosautomaçãoeducação técnicaLLMfuturo do trabalhoIAChatGPTClaudeautomationtechnical educationLLMfuture of workAIChatGPTClaudeautomatizacióneducación técnicaLLMfuturo del trabajoIAChatGPTClaudeThe present article proposes a methodology that uses Artificial Intelligence to analyze how automation affects technical courses and presents a case study that evaluates the technical courses offered by Senac from the perspective of the impact of state-of-the-art automation in seven categories of technologies. The research reveals that 39.1% of the Course Competence Indicators of the institution are at a Medium automation level, this being the most representative level. Digital Platforms and Applications emerge as the most relevant technology category, while 3D/4D Modeling/Printing is the least significant. The research presented here suggests the recurrent and lasting adaptation of the National Curricular Plans of the institution in accordance with the emergence of new technologies as well as the development of courses focused on emerging technologies, preparing students for a job market in constant and rapid change.El presente artículo propone una metodología que utiliza Inteligencia Artificial para analizar cómo la automatización afecta a los cursos técnicos y presenta un estudio de caso que evalúa los cursos técnicos ofrecidos por Senac desde la perspectiva del impacto de la automatización de última generación en siete categorías de tecnologías. La investigación revela que el 39.1% de los Indicadores de Competencia de los cursos de la institución se encuentran en un nivel de automatización Medio, siendo este el nivel más representativo. Las Plataformas y Aplicaciones Digitales emergen como la categoría tecnológica más relevante, mientras que la Impresión y Modelado 3D/4D es la menos significativa. La investigación aquí presentada sugiere la adaptación recurrente y duradera de los Planes Curriculares Nacionales de la institución de acuerdo con la aparición de nuevas tecnologías, así como la elaboración de cursos enfocados en tecnologías emergentes, preparando a los estudiantes para un mercado laboral en constante y rápida cambio.O presente artigo propõe uma metodologia que utiliza Inteligência Artificial para analisar como a automação afeta os cursos técnicos e apresenta um estudo de caso que avalia os cursos técnicos oferecidos pelo Senac sob a perspectiva de impacto da automação do estado da arte de sete categorias de tecnologias. A pesquisa revela que 39,1% dos Indicadores de Competência dos cursos da instituição se encontram num nível de automação Médio, sendo esse o nível mais representativo. Plataformas e Aplicativos Digitais emergem como a categoria de tecnologia mais relevante, enquanto a Impressão e Modelagem 3D/4D é a menos significativa. A pesquisa aqui apresentada sugere a adequação dos Planos Curriculares Nacionais da instituição de forma recorrente e perene de acordo com o surgimento de novas tecnologias bem como a elaboração de cursos focados em tecnologias emergentes, preparando os alunos para um mercado de trabalho em constante e rápida mudança.SciELO PreprintsSciELO PreprintsSciELO Preprints2024-01-08info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/785310.1590/SciELOPreprints.7853porhttps://preprints.scielo.org/index.php/scielo/article/view/7853/14692Copyright (c) 2024 Yuri Lima, Inês Pereirahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessLima, YuriPereira, Inêsreponame:SciELO Preprintsinstname:Scientific Electronic Library Online (SCIELO)instacron:SCI2024-01-08T13:13:01Zoai:ops.preprints.scielo.org:preprint/7853Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2024-01-08T13:13:01SciELO Preprints - Scientific Electronic Library Online (SCIELO)false
dc.title.none.fl_str_mv Estimating the Impact of Automation on Vocational Education: The Case of Technical Courses
Estimando el impacto de la automatización en la Educación Profesional: El Caso de los Cursos Técnicos
Estimando o impacto da automação sobre a Educação Profissionalizante: o caso dos cursos técnicos
title Estimating the Impact of Automation on Vocational Education: The Case of Technical Courses
spellingShingle Estimating the Impact of Automation on Vocational Education: The Case of Technical Courses
Lima, Yuri
automação
educação técnica
LLM
futuro do trabalho
IA
ChatGPT
Claude
automation
technical education
LLM
future of work
AI
ChatGPT
Claude
automatización
educación técnica
LLM
futuro del trabajo
IA
ChatGPT
Claude
title_short Estimating the Impact of Automation on Vocational Education: The Case of Technical Courses
title_full Estimating the Impact of Automation on Vocational Education: The Case of Technical Courses
title_fullStr Estimating the Impact of Automation on Vocational Education: The Case of Technical Courses
title_full_unstemmed Estimating the Impact of Automation on Vocational Education: The Case of Technical Courses
title_sort Estimating the Impact of Automation on Vocational Education: The Case of Technical Courses
author Lima, Yuri
author_facet Lima, Yuri
Pereira, Inês
author_role author
author2 Pereira, Inês
author2_role author
dc.contributor.author.fl_str_mv Lima, Yuri
Pereira, Inês
dc.subject.por.fl_str_mv automação
educação técnica
LLM
futuro do trabalho
IA
ChatGPT
Claude
automation
technical education
LLM
future of work
AI
ChatGPT
Claude
automatización
educación técnica
LLM
futuro del trabajo
IA
ChatGPT
Claude
topic automação
educação técnica
LLM
futuro do trabalho
IA
ChatGPT
Claude
automation
technical education
LLM
future of work
AI
ChatGPT
Claude
automatización
educación técnica
LLM
futuro del trabajo
IA
ChatGPT
Claude
description The present article proposes a methodology that uses Artificial Intelligence to analyze how automation affects technical courses and presents a case study that evaluates the technical courses offered by Senac from the perspective of the impact of state-of-the-art automation in seven categories of technologies. The research reveals that 39.1% of the Course Competence Indicators of the institution are at a Medium automation level, this being the most representative level. Digital Platforms and Applications emerge as the most relevant technology category, while 3D/4D Modeling/Printing is the least significant. The research presented here suggests the recurrent and lasting adaptation of the National Curricular Plans of the institution in accordance with the emergence of new technologies as well as the development of courses focused on emerging technologies, preparing students for a job market in constant and rapid change.
publishDate 2024
dc.date.none.fl_str_mv 2024-01-08
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
format preprint
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/7853
10.1590/SciELOPreprints.7853
url https://preprints.scielo.org/index.php/scielo/preprint/view/7853
identifier_str_mv 10.1590/SciELOPreprints.7853
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/7853/14692
dc.rights.driver.fl_str_mv Copyright (c) 2024 Yuri Lima, Inês Pereira
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Yuri Lima, Inês Pereira
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
instname:Scientific Electronic Library Online (SCIELO)
instacron:SCI
instname_str Scientific Electronic Library Online (SCIELO)
instacron_str SCI
institution SCI
reponame_str SciELO Preprints
collection SciELO Preprints
repository.name.fl_str_mv SciELO Preprints - Scientific Electronic Library Online (SCIELO)
repository.mail.fl_str_mv scielo.submission@scielo.org
_version_ 1797047814743654400

Registros relacionados