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CONTRIBUIÇÕES DAS TECNOLOGIAS DIGITAIS ASSOCIADAS À INDÚSTRIA 4.0 PARA A FORMAÇÃO PROFISSIONAL

 

CONTRIBUT= IONS OF DIGITAL TECHNOLOGIES ASSOCIATED WITH INDUSTRY 4.0 TO VOCATIONAL TRAINING=

 

RESUMO

Este artigo tem por objetivo analisar como as tecnologias digitais ligadas à Indústria 4.0 podem contribuir para o aprimo= ramento da formação profissional, a partir da particularidade do ensino de engenhar= ia na Universidade Federal de Sergipe (UFS). Metodologicamente, utilizou-se de= um estudo de caso sob uma abordagem quanti-qualitativa, exploratória e descrit= iva, aplicando questionários com os docentes e discentes do Centro de Ciências Exatas e Tecnologia da UFS (CCET/UFS). Os resultados apontaram que a inserç= ão das tecnologias digitais na formação profissional traz contribuições quanto= à modernização dos sistemas de ensino, por meio da adequação dos currículos escolares e projetos pedagógicos de curso, e a estruturação de um espaço que simule o ambiente que os egressos encontrarão no mercado de trabalho, culminando no aprimoramento do processo de formação. A análise indicou ainda impactos do uso das tecnologias digitais na formação profissional, revelando que, embora os desafios envolvidos incluam fatores como a falta de investim= ento para a aquisição de tecnologias digitais e capacitação profissional e a fal= ta de estrutura disponível, as tecnologias digitais podem trazer contribuições= no que tange à melhoria das condições de ensino, atualização profissional e desenvolvimento de habilidades e competências essenciais ao contexto da Indústria 4.0.

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Palavras= -Chave: Tecnologias digitais e ensino. Formação profissional. Indústria 4.0.

 

ABSTRACT=

This = article aims to analyze how digital technologies linked to Industry 4.0 can contribute = to the improvement of professional training, = based on the particularity of engineering education at the Federal University of Sergipe (UFS). Methodologically, we used a case study <= span class=3DSpellE>under a quantitative-qualitative= , exploratory and descriptive approach, applying questionnaires with professors and students at the Center for Exact Sciences<= /span> and Technology at UFS (CC= ET/UFS). The results showed = that the insertion of digital technologies in professional training brings contributions regarding the modernization of teaching systems, through= the adaptation of school curricula and pedagogical course projects, and the structuring of a space that simulates the environment that graduates will find in labor market, culminating in the improvement of the training process. The analysis also indicated impacts of the use of digital technologie= s in professional training, revealing that, although the challenges involved include factors = such as the lack of investment for <= span class=3DSpellE>the acquisition of digital technologies <= span class=3DSpellE>and professional training, and the lack of available structure, digital technologies can bring contributions regarding the improvement of teaching conditions, professional updatin= g and development of skills and competencies essential to the context of Industry 4.0.

 

Keywords: <= span style=3D'mso-bidi-font-size:12.0pt;line-height:200%;mso-bidi-font-weight:bo= ld'>Digital technologies and teaching. Professional qualifica= tion. Industry 4.0.

 

1 INTRODUÇÃO<= /b>

A Indústria 4.0 tem transformado os sistemas produtivos por meio da automação= e digitalização de processos, produtos e modelos de negócios, difundido o uso= de tecnologias por diversos âmbitos da sociedade. Essas transformações societária= s têm demandado a qualificação de profissionais nas diversas áreas do conhecimento para ate= nder aos anseios da economia digital, criando, assim, novos desafios para a educ= ação brasileira, especialmente, no âmbito da formação profissional. Nesse sentid= o, a educação superior, além da sua função social, assume papel importante na manutenção dos níveis de produtividade e competitividade.

Considera-se esse cenário = como uma nova revolução tecnológica, tendo em vista a capacidade de modificar a maneira como se vive, se trabalha e, até mesmo, a dinâmica das relações soc= iais, mediante a alta complexidade dos avanços tecnológicos. Essas transformações estimulam a mudança de paradigma quanto à utilização das tecnologias digita= is para o desenvolvimento mais eficiente de atividades cotidianamente, culmina= ndo, assim, na necessidade de reformular adequadamente não apenas a infraestrutu= ra produtiva, como também os sistemas de educação (SCHWAB, 2016; SCHWAB; DAVIS, 2018; RUBMANN et al., 2015).

Não obstante, Raizer (2014, p. 164) afirma que “[...] as sociedades moder= nas deparam-se com transformações em escala, força e brutalidade comparáveis as experenciadas durante a passagem das sociedades agrarias para as industriai= s”. Transformações essas que afetam, por exemplo, a realidade das organizações = e do trabalho, possibilitando reflexões acerca do impacto delas em diversos domí= nios da vida social, onde pode-se inferir, aqui, o impacto também nos sistemas de educação.

A discussão acerca da Indústria 4.0 nas Instituições de Ensino Superior (IES) ainda é uma realidade embrionária. Contudo, “[...] as instituições já inici= aram estudos e atualizações nos currículos de cursos como engenharias e computaç= ão de olho no profissional que será requisitado pelo setor industrial [...]” (= CONFEDERAÇÃO NACIONAL DA INDÚSTRIA – CNI, 2017, s. p.). Essa adaptação prevê condições q= ue ofereçam aos alunos uma formação mais multidisciplinar, sistêmica e alinhad= a às necessidades da economia digital (CNI, 2018a).

Dados obtidos por meio da PNAD/IBGE/2017[1]= oferecem um panorama da educação brasileira: 6,9 milhões de jovens com idade entre 18 e 24 anos não estão inseridos nas escolas, tampouco no mercado de trabalho, representando um percentual de 30,1% da população; apenas 58,5% d= os jovens concluem o Ensino Básico até os 19 anos, elevando o número de adultos que não concluíram o Ensino Médio e precisaram recorrer a Educação de Joven= s e Adultos (EJA) para finalizar o processo de escolarização; somente 11,1% dos alunos do Ensino Médio estavam cursando a Educação Profissional; e quanto ao ensino superior, apenas 15% das pessoas entre 25 e 64 anos possuíam uma qualificação profissional de ensino superior. Isso implica no perfil dos al= unos que ingressam nas IES. Particularizando o objeto de estudo, tem-se o exemplo dos cursos de engenharia que registram um percentual de cerca de 50% de eva= são, considerando que a cada 1.000 candidatos nos processos seletivos, 175 ingre= ssam nas IES e somente 95 conseguem concluir o curso (CNI, 2018a).

Nesse contexto, entende-se que, para a consolidação da Indústria 4.0, o Brasil tem desafios a enfrentar qua= nto à formação e qualificação profissional, visto que “[...] a baixa escolaridade da população brasileira e a reduzida qualidade da educação interferem na capacidade dos trabalhadores de interagirem com as novas tecnologias e métodos de produção [...]”, o que te= nde a impactar negativamente, entre outras coisas, no potencial de crescimento = (CNI, 2018b, p. 11).

Assim, o objetivo do presente artigo consiste em analisar como as tecnologias digi= tais associadas à Indústria 4.0 podem contribuir para o aprimoramento da formação profissional, a partir da particularidade do ensino de engenharia na UFS, considerando a percepção dos docentes e discentes do CCET. Objetivamente, essa área é a mais propí= cia a alavancar a inovação e competitividade da indústria, tendo em vista o papel fundamental desses profissionais no desenvolvimento tecnológico, atuando, e= ntre outras linhas, na pesquisa, desenvolvimento e inovação. Além disso, = “[...] as condições do ensino de engenharia ocupam [...] um lugar central nas discussões que envolvem a formulação e a execução de estratégias de desenvolvimento industrial” (CNI, 2018a, p. 13).

Este trabalho está dividido em quatro seções, além dessa introdução: na primeira= , aborda-se o desenvolvimento teórico, contemplando os conceitos, características e tecnologias digitais acerca da Indústria 4.0, assim como o impacto das tecnologias digitais na formação profissional. Em seguida, os procedimentos metodológicos. Logo depois, apresenta-se a análise e discussão dos resultad= os e, por fim, as Considerações Finais.

 

2 REFERENCIAL TEÓRICO

Este ref= erencial teórico discute elementos fundamentais para a compreensão do estudo e para subsidiar a posterior análise e discussão dos resultados.

 

2.1 INDÚSTRIA 4.0: CONCEITO= S, CARACTERÍSTICAS E TECNOLOGIAS DIGITAIS

tec= hs, tendo em vista a ubiquidade e mobilidade da internet, sensores mais robusto= s, inteligência artificial e aprendizado de máquina (SCHWAB, 2016; VAIDYA; AMB= AD; BHOSLE, 2018).

Do alemão Industrie 4.0= , a origem do termo está ligada a um contexto de aumento da competitividade da manufatura global e a perda significativa da posição participativa da indús= tria alemã no valor agregado industrial global, tendo em vista a expressiva expa= nsão industrial, econômica e social dos Tigres Asiáticos, por volta da década de 19= 70 (FEDERAÇÃO DAS INDÚSTRIAS DO ESTADO DO RIO DE JANEIRO – FIRJAN, 2016; SCHWAB, 2016). A expressão, mencionada a princípio em 2011 na Feira Hannover Messe (Alemanha= ), fazia alusão a um projeto do governo com o intuito de informatizar os siste= mas produtivos, por meio da implementação de tecnologias avançadas que permitis= sem a interconexão entre os ambientes físicos e virtuais de produção, de modo a reestabelecer a sua competitividade e performance no valor agregado da indústria mundial (SCHWAB, 2016).

O supracitado projeto envolveu o desenvolvimento de estratégias e soluç= ões em ciência e tecnologia para a incorporação das novas tecnologias nas indústrias, culminando no plano de ação High Tech S= trategy 2020 – Action Plan<= /i> (2010), cujo um dos eixos era a Indústria 4.0. O relatório final da estraté= gia foi veiculado na edição de 2013 da Feira Hannover, contendo as recomendações para a implementação da Indústria 4.0 (FIRJAN, 2016).

A compreensão disseminada = acerca da Indústria 4.0 está ligada ao desenvolvimento de redes de trabalho na for= ma de Sistemas Ciber-físicos (CPS). No ambiente produtivo, esses sistemas compreendem máquinas inteligentes, sistemas de armazenamento e equipamentos de produção com capacidade para trocar informa= ções de maneira autônoma, gerenciando os fluxos produtivos independentemente. Os produtos inteligentes armazenam seu próprio histórico produtivo, status<= /i> e rotas alternativas de produção, podendo ser facilmente localizados= (KAGERMANN; WAHLSTER; HELBIG, 2013). Diante disso, apreende-se que, nos sistemas produtivos tecnologicamente avançados, os componentes, máquinas, produtos etc. são providos de inteligência artificial, mediante a utilização de sensores e memórias eletrônicas, interligando a dimensão física à virtual por meio da = Internet das Coisas (Internet of ThingsIoT) e outras tecnologias de armazenamento de informações e processamento em nuvem; o que possibilita o controle descentralizado do processo produtivo (HERMANN; PENTEK; OTTO, 2015; SCHWAB; DAVIS, 2018).

Deloitte (2015) apresenta quatro características que contribuem para a compreensão da poten= cial capacidade de transformação da manufatura avançada, como mostra a Figura 1.=

 =

Figura 1 – Características da Indústria 4.0=

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Fonte: Elaboração própria com base em Deloitte (20= 15).

 

Além disso, Hermann, Pente= k e Otto (2015) evidenciaram seis princípios fundamentais no que concerne a configuração do CPS nos processos produtivos: interoperabilidade, virtualização, descentralização, capacidade em tempo real, orientação para o serviço e modularidade. Esses princípios representam a forma que os sistemas produtivos devem ser operacionalizados mediante a inserção das tecnologias digitais.

As tecnologias digitais assumem um papel de destaque nesse cenário, por isso estudos e centros de pesquisas têm elencado as tecnologias mais representativas da Quarta Revolução Industrial. Segundo Rubmann et al. (2015), a Indústr= ia 4.0 baseia-se, primordialmente, em nove pilares tecnológicos, como pode ser vis= to no Quadro 1.

 

Quadro 1 – Pilares tecnológicos da Indústria 4.0

Tecnologia

Descri= ção

Big Data<= span style=3D'font-size:10.0pt;line-height:200%;mso-fareast-font-family:"Droid= Sans Fallback"; mso-bidi-font-family:"Times New Roman";mso-fareast-language:ZH-CN;mso-bid= i-language: HI'> e Analytics

Arquit= etura computacional sistematizada e digitalizada com maior capacidade para processar e analisar grandes conjuntos de dados de forma precisa e imedia= ta.

Robôs autônomos

Uso de robôs com maiores habilidades de cooperação, flexibilidade, autonomia e interação homem-máquina, mediante o conceito de inteligência artificial.<= o:p>

Simulação

Simula processos, máquinas e produtos físicos no campo virtual, conferindo maior assertividade nas tomadas de decisão e otimização de recursos.=

Internet das Coisas

Conecta dispositivos, máquinas, ambientes e objetos por meio de sensores e inteligência artificial, permitindo a interação, compartilhamento e informações em tempo real.

Cibersegurança

Sistem= as estratégicos com padrões de governança de TI, garantindo a segurança e confiabilidade das comunicações e transação de dados, especialmente, para= IoT e armazenamento em nuvem.

Integração de sistemas

Sistem= a de integração horizontal e vertical da empresa, suas partes internas e st= akeholders, formando uma cadeia de valor agregado.

Nuvem

Serviç= os orientados a dados armazenados virtualmente em um único lugar, melhorando= a performance de processamento, custo, tempo e eficiência nas comunicações.=

Fabricação aditiva

Sistem= as de impressão 3D que ampliam as possibilidades de fabricação e customizaçã= o de produtos, protótipos e peças específicas.

Realidade aumentada

Sistem= as que suportam vários serviços, desde a operacionalização de processos e máquinas a distância a treinamento de colaboradores, por meio de disposit= ivos de realidade aumentada e virtual.

Fonte: Elaboração própria com base em Rubmann et al= . (2015)

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Afirma-se que ess= as tecnologias já são realidade em alguns sistemas de produção, entretanto, a tendência é que haja uma transformação nos fluxos produtivos, agregando cél= ulas de produção, normalmente isoladas. Assim, “[...] os produtores e fornecedor= es de sistemas devem tomar ações decisivas para abraçar os nove pilares do ava= nço tecnológico. Eles devem também abordar a necessidade de adaptar a infraestrutura e a educação adequadamente” (RUBMANN et al., 2015, p. 14).

No Brasil, o cenário industrial encontra alguns desafios devido à sensibilidade competitiva da indústria brasileira diante de grandes transformações, e a emergência e difusão de novas tecnologias representam tendências mundiais q= ue impactam diretamente na atividade econômica e industrial com escoamento até 2022 (CNI, 2013). Entretanto, evidencia-se que o país tem se posicionado di= ante dessa revolução, desenvolvendo ações para criar um ambiente favorável ao av= anço tecnológico da manufatura nacional[2]. Conforme a CNI (2016), 48% das indústrias brasileiras utilizam pelo menos u= ma das dez tecnologias digitais da Quarta Revolução Industrial, demonstrando q= ue, embora as dificuldades encontradas, o Brasil tem acompanhado os avanços tecnológic= os. Entretanto, outros percentuais demonstram o atraso do setor, o que tem prejudicado a sua competitividade a nível global: 43% das indústrias não têm conhecimento sobre quais tecnologias podem elevar a competitividade do seto= r.

Os setores que mais aplicam tecnologias em seus processos são: Equipamentos de informática, produtos eletrônicos e ópticos (61%); Máquinas, aparelhos e materiais elétricos (60%); e Coque, derivados do petróleo e biocombustíveis (53%). Quanto aos desafios, são enfatizados o alto custo de implementação e falta de clareza quanto ao retorno sobre o investimento, como fatores inter= nos (66% e 26%, respectivamente), enquanto dentre as barreiras externas elencad= as está a falta de qualificação do trabalhador e a insuficiência das estrutura= s de telecomunicações no país (30% e 26%, respectivamente) (CNI, 2016).

Além disso, a FIRJAN (2016, p. 17) afirma que um grande desafio com a chegada da Indústria 4.0 é “[...] dispor de desenvolvimento tecnológico e formação de profissionais altamente qualificados por parte das instituições acadêmicas = e de pesquisa, preferencialmente em grande proximidade com a indústria”.

 

2.2 IMPACTO= DAS TECNOLOGIAS DIGITAIS NA FORMAÇÃO PROFISSIONAL

O cenário da Quarta Revolução Industrial sugere um novo processo de profissionalização dos indivíduos, visando o desenvolvimento de habilidades e competências alinhadas aos prece= itos da economia digital. Corroborando com essa concepção, 42% das empresas part= icipantes da pesquisa Sondagem Espacial Indústria 4.0 consideram que uma das três açõ= es essenciais para a inserção de tecnologias digitais nos processos produtivos= é o investimento em novos modelos de educação e programas de treinamento (CNI, = 2016).

Para Sch= wab (2016, p. 32), “[...] as instituições acadêmicas costumam ser consideradas = como um dos locais mais importantes para as ideias pioneiras”. Cordeiro e Pozzo (2015, p. 131) reforçam a ideia ao afirmar que = “[...] as instituições de ensino são importantes atores na geração de conhecimento, aprendizagem e inovação”. Neste sentido, faz-se necessário criar mecanismos para melhor aproveitar o potencial tecnológico e investir em inovação, absorvendo as tendências tecnológicas mediante a capacidade que elas têm de impactar o cenário produtivo global.

No que concerne a= os impactos causados nas profissões e ocupações, esse cenário exige do indivíd= uo o emprego de competências e habilidades dificilmente exploradas nos sistemas tradicionais. Reflete-se que os sistemas técnicos, embora tecnologicamente avançados, não suprirão, em sua completude, os conhecimentos, capacidades e habilidades humanas, sendo mais provável a valorização cada vez mais expres= siva do trabalho humano como parte fundamental do sistema de produção, tendo as tecnologias como suporte para otimizar tais habilidades (BRUNO, 2016). Isso implica que, quanto maior o nível de inteligência dos sistemas de produção, maior o impacto associado ao papel exercido pelos indivíduos, que deverão estar mais apoiados no treinamento p= ara a utilização de ferramentas digitais e softwares em detrimento da aprendizagem específica de máquina (LORENZ et al., 2015).

Considerando a ampla possibilidade de aplicações na Indústria 4.0, faz-se necessária a aproximaç= ão entre as indústrias e instituições de ensino, objetivando, por meio de uma interlocução contínua, assegurar adequados níveis de treinamento, formação e qualificação profissional, atendendo às demandas da economia digital. (KAGERMANN; WAHLSTER; HELBIG,= 2013; LORENZ et al., 2015).

Nessa conjuntura,= Heindl et al. (2016, p. 07-08) reforçam a necessidade de “[...] focar em um investimento consequente na formação profissional e continuada para conseguir integrar também no futuro todos os= empregados no mercado de trabalho nos termos de uma boa política econômica, de mercado= de trabalho e de desenvolvimento”. Por isso, é substancial a adequação dos mod= elos de ensino-aprendizagem, por meio da utilização de metodologias de ensino que favoreçam o contato com a prática profissional e com o uso das tecnologias digitais, como o exemplo das metodologias ativas. Ou seja, é preciso modificar diversos aspectos do ambiente educacio= nal, a começar pelo próprio fazer pedagógico de ensino (CORDEIRO; POZZO, 2015). =

Afirma-se que as Universidades e Instituições de Ciência e Tecnologia (ICT) desempenham significativas atribuições no ecossistema de inovação, o que dá subsídio pa= ra o aprofundamento da investigação no lócus de pesquisa. Embora não atue= m de maneira direta na implementação dos recursos tecnológicos nas organizações empresariais, essas instituições são essenciais no desenvolvimento de capit= al intelectual e da ciência básica, relacionando-se, estrategicamente, com out= ras organizações, como pode ser visto na Figura 2 (CNI, 2018c).

 

Figura 2 – Estrutura de oferta de tecnologias habilitado= ras da Indústria 4.0

Fonte: CNI (2018c, p. 26).

 =

A compreensão dessa estrutura possibilita apreender o papel e os desafios que os sistemas de ensino possu= em no contexto da Quarta Revolução Industrial. Sendo essa compreensão relevant= e na elaboração de políticas e estratégias, de acordo com cada particularidade, = de modo a implementar ações necessárias para a promoção do desenvolvimento da Indústria 4.0 no Brasil.

Diante disso, a adaptação dos sistemas de ensino ao cenário da Indústria 4.0, mediante a inclusão de tecnologias digitais na prática de ensino, vem sendo discutida = por meio da expressão Educação 4.0 (RODRIGUES, 2018; ANDRADE, 2018). Salientand= o, nesse ponto, a necessidade de realizar a inserção desses recursos tecnológi= cos de maneira adequada, alinhando a metodologias de ensino que garantam melhor eficiência no processo de ensino-aprendizagem, como as metodologias ativas. Segundo Cordeiro e Pozzo (2015, p. 136), “[...]= o ensino superior, as universidades, avançaram ao atrelar o seu processo de ensino-aprendizagem às questões mais práticas”, demonstrando, dessa forma, a preocupação com a dinâmica estabelecida pelo contexto das transformações sociais (RAIZER, 2014).

As metodologias de aprendizag= em ativas, aliadas aos recursos tecnológicos, tornam-se uma alternativa substancial para a preparação dos profissionais para o mercado de trabalho.= Essas metodo= logias abrangem métodos de ensino-aprendizagem, cujo ambiente de aprendizagem proporciona ao aluno o desenvolvimento de uma visão crítica, analítica e reflexiva acerca da realidade, onde a construção do conhecimento ocorre de maneira contextualizada, tendo em vista a interação entre o aluno e o objet= o estudado (BORDENAVE; PEREIRA, 2015; BARBOSA; MOURA, 2014). O professor assume, nesse processo, a função de intermediador e orientador, ao passo que o aluno assu= me um papel ativo no processo de aprendizagem, indo além da ideia do provedor e receptor de conhecimento (DIESEL; BALDEZ; MARTINS, 2017). Cordeiro e Pozzo = (2015, p. 137) argumentam que “[...] modificar, portanto, a centralidade no proces= so de aprendizagem é uma das principais inovações que os sistemas educacionais precisam fazer”.

Um desafio para o= ensino, diante das transformações societárias, é tornar o processo de ensino-aprendizagem mais atrativo, o que pode ser contornado por meio da imersão em metodologias criativas e inovadoras, onde o aluno tenha uma participação ativa na produção dos saberes (SIQUEIRA et al., 2009). Uma das formas de transfor= mar os sistemas educacionais é, justamente, por meio das metodologias usadas em sa= la de aula (CORDEIRO; POZZO, 2015). Diante di= sso, torna-se essencial a inclusão de disciplinas, práticas e metodologias, nos planos de ensino de universidades e outras instituições de formação profissional, de modo a reforçar a relação entre teoria e prática para acompanhar essas mudanças contextuais (MARION; MARION, 2006). Algumas dessas metodologias envolvem: o Aprendizado Baseado em Problemas (PBL); a S= ala de Aula Invertida; e o Arco de Maguerez. <= /o:p>

Bittenc= ourt e Albino (2017) afirmam que as tecnologias estão cada vez mais presentes no cenário educacional do século XXI e a utilização desses recursos tem sido essencial para dar suporte ao ensino multidisciplinar e às metodologias ati= vas de ensino.

&n= bsp;

3 PROCEDIMENTOS METODOLÓ= GICOS

Os resu= ltados deste artigo são frutos da pesquisa intitulada “Tecnologias digitais associ= adas à Indústria 4.0 na formação profissional: um estudo de caso no CCET/UFS”, desenvolvida no âmbito do Departamento de Administração da Universidade Fed= eral de Sergipe.

Conforme= o principal objetivo deste estudo, qual seja analisar como as tecnologias digitais ligadas à Indústria 4.0 podem contribuir para o aprimoramento da formação profissional, realizou-se uma pesquisa exploratória, descritiva e transversal, com abordagem mista, envolvendo aspectos quantitativos e qualitativos. A coleta e produção dos dados teve como base o levantamento de dados primários, com a aplicação de questionários. A pesquisa quantitativa = caracteriza-se pela utilização da quantificação na coleta, tratamento e análise dos dados,= por meio de técnicas estatísticas e matemáticas, descrevendo numericamente tendências, opiniões ou atitudes acerca de determinado fenômeno. Já a pesqu= isa qualitativa propõe análises e elucidações de aspectos mais intrínsecos, buscando interpretar e compreender as relações acerca da complexidade do problema sem o uso de recursos estatísticos (MARTINS; THEÓPHILO, 2009; MARC= ONI; LAKATOS, 2009; VERGARA, 2009).

Do ponto= de vista dos procedimentos técnico-instrumentais, realizou-se uma pesquisa bibliográfica, necessária para qualquer pesquisa científica, pois permite a construção de uma base teórica fundamentada; pesquisa documental com base n= os relatórios de organizações como a CNI; e estudo de caso que, para Yin (2010= ), consiste num método abrangente que pode envolver o estudo de um único ou múltiplos casos, compreendendo o planejamento, coleta e análise de dados. No caso desta pesquisa, estudou-se um único, tendo como lócus de pesqui= sa o CCET/UFS, especialmente a particularidade dos cursos de engenharia.

Os crité= rios para a escolha do caso estão associados ao contexto das revoluções industri= ais que surgem a partir da intervenção de novas técnicas que transformam os meios produtivos. A área de conhecimento das engenharias é uma das principais áre= as propícias a alavancar a inovação e competitividade da indústria, como afirm= a a CNI (2018a). Além disso, segundo a Resolução CNE/CES 11/2002, faz parte do perf= il dos profissionais dessa área a capacidade de absorver e desenvolver novas tecnologias (BRASIL, 2002). Neste sentido, o CCET/UFS condensa cursos relevantes para o aprofundamento da temática.

Para ate= nder ao objetivo, foi aplicado um questionário junto a 20 docentes e 67 discentes d= e 8 dos 15 departamentos que compõem o CCET/UFS por meio, principalmente, dos <= i>e-mails auxiliados pelo Sistema Integrado de Gestão de Atividades Acadêmicas (SIGAA= ). É necessário mencionar que esse filtro foi realizado considerando a pesquisa Sondagem Espacial Indústria 4.0 da CNI (2016), mencionada anteriormente, qu= e revelou os setores que mais aplicam tecnologias nos seus processos produtivos. A proximidade dos cursos com esses setores justifica a seleção dos 8 departamentos envolvidos na pesquisa: Departamento de Engenharia da Produção (DEPRO), Tecnologia de Alimentos (DTA), Engenharia Mecânica (DMEC), Engenha= ria Química (DEQ), Ciência e Engenharia de Materiais (DCEM), Computação (DCOMP)= , Engenharia Elétrica (DEL), e Núcleo de Engenharia de Petróleo (NUPETRO).  

O instr= umento de coleta de dados, como representado na Figura 3, foi composto por questõe= s abertas e fechadas. Considerou-se a escala Likert de cinco pontos (variando de “discordo totalmente” a “concordo totalmente”) e a escala Pharse Co= mpletion de onze pontos (composto pelos agrupamentos “baixa intensidade”, “intensida= de moderada” e “alta intensidade”) para as questões fechadas (Q1, Q2, Q3 e Q5 a Q26). As questões Q4, Q27 e Q28 foram de livre resposta. Já as questões de = P1 a P5 foram de múltipla escolha.

 

Figura 3 – Categorias e element= os de análise do instrumento de coleta de dados

Fonte: Elaboração própria.=

 

 Para o tratamento, interpretação e análi= se dos dados utilizou-se a Análise Descritiva, por meio de métodos estatísticos descritivos. Após coletar os dados, eles foram tabulados, organizados e categorizados de modo a permitir uma análise mais sistemática, por meio da análise da escala. Os dados obtidos foram analisados com o auxílio da ferramenta de cálculo Microsoft Office Excel, possibilitando a elaboração de gráficos, tabelas e outros recursos visuais para dar subsídio= à compreensão dos dados. Pontua-se que, para as questões abertas, as respostas foram transcritas e agrupadas por nível de semelhança, sendo transcritas no trabalho aquelas mais representativas da categoria, de modo a permitir a compreensão das mensagens.

&nb= sp;

4 ANÁLISE E DISCUSSÃO DOS RESULTADOS

            Esta seção apresenta os resultados e discussões dos dados coletados à luz da con= strução teórica empreendida na pesquisa.

 

4.1 PERFIL DOS RESPONDENTES DA PESQUISA

Conforme os dados dispostos na Tabela 1, a maior parte dos docentes que aderiram à pesquisa s= ão dos Departamentos de Engenharia da Produção (DEPRO) e Tecnologia de Aliment= os (DTA), tendo uma representatividade de 40% do total. Não houve respondentes= do Núcleo de Engenharia de Petróleo (NUPETRO).

Tabela 1 – Perfil dos respondentes

Características<= o:p>

Docentes

Discentes

Sexo

Masculino

16

48

Feminino

04

19

Maior Titulação

Especialização

00

-

Mestrado

01

-

Doutorado

19

-

Tempo de instituição

Menos de 01 ano<= o:p>

01

-

De 01 a 05 anos<= o:p>

03

-

De 06 a 10 anos<= o:p>

10

-

De 11 a 20 anos<= o:p>

05

-

Mais de 20 anos<= o:p>

01

-

Departamento

DCEM<= /span>

02

07

DCOMP=

02

15

DEL

02

16

DEPRO=

04

10

DEQ

03

05

DMEC<= /span>

03

06

DTA

04

05

NUPETRO

00

03

Tempo de curso

1º ao 5º semestre letivo

-

18

6º ao 10º semest= re letivo

-

49

Total

 

20

67

Fonte: Dado= s da pesquisa.

 =

Observa-se que 95% dos docentes possuem doutorado e 50% atuam na instituição de ensino= de 06 a 10 anos. Com relação ao sexo, 80% dos respondentes são homens e 20% são mulheres. Reflete-se que, embora haja mudanças no cenário do mercado de trabalho, na área das engenharias ainda prevalecem, majoritariamente, os indivíduos do sexo masculino, tendo pouca inserção das mulheres. Quanto à titulação, cabe ressaltar como fator positivo a predominância de doutores, sendo o mais alto grau acadêmico, com experiência em pesquisas científicas.= As principais áreas de especialização desses docentes estão diretamente ligada= s a Informática e Educação, Interface Humano Computador, Inovação tecnológica, Modelagem, simulação e otimização de processos químicos, e Robótica e Instrumentação Eletrônica, versando diretamente com a discussão das tecnolo= gias da Industria 4.0. Quanto aos discentes, a maioria deles são do DEL, DCOMP e DEPRO, somando uma representatividade de cerca de 61%. A maior parte dos respondentes já se encontra na segunda metade do curso, 73,2%, o que dá mai= or subsídio para a análise quanto ao contato e percepção acerca das tecnologias digitais. Quanto ao indicador sexo, 71,6% dos respondentes são do sexo masc= ulino e 28,4% feminino.

 

4.2 CONTATO COM AS TECNOLOGIAS DIGITAIS ASSOCIADAS À INDÚSTRIA 4.0

Com relação a Q1, proximidade com a temática, os dados mostram que 65% dos docentes possuem uma proximidade mediana com a temática, ao passo q= ue 20% possuem uma proximidade muito significativa. Quanto aos discentes, 70,1% possuem uma proximidade mediana (Gráfico 1).

 

Gráfico 1 – Proximidade com a temática

Fonte: Dados da pesquisa.

 

Essa aproximação está relacionada à própria natureza da área, tendo em vista que= faz parte da formação dos engenheiros desenvolver um perfil “[...] capacitado a absorver e desenvolv= er novas tecnologias, estimulando a sua atuação crítica e criativa na identificação e resolução de problemas” (BRASIL, 2002, p. 01).

Para Q2, com relação ao conhecimento dos docentes acerca das tecnologias digitais representativas da Indústria 4.0, as tecnologias mais conhecidas e= /ou utilizadas são: Modelagem e simulação (80%); Processamento em Nuvem (60%); e Internet das Coisas (45%). Já a Integração horizontal e vertical do sistema (15%) e a Cibersegurança (15%) são as tecnologi= as digitais menos conhecidas. Para os discentes, Modelagem e simulação (73,1%)= e Processamento em Nuvem (73,1%) são as mais conhecidas, ao passo que a menos conhecida é, também, a Integração horizontal e vertical de sistemas (4,5%), como mostra o Gráfico 2.

 =

Gráfico 2 – Conhecimento dos respondentes sobre as tecnologias digitais<= /span>

Fonte: Dados da pesquisa.

 

Infere-se que o destaque para as tecnologias de nuvem pode estar associado ao fato de= serem tecnologias mais comumente utilizadas no fazer profissional e pessoal, pois permitem o armazenamento, processamento e acesso de informações em qualquer lugar. Por conseguinte, Albertin et al. = (2017) afirmam que a Simulação e a Internet das Coisas já estão sendo implementadas nas indústrias, porém, a Integração horizontal e vertical de sistemas ainda= é uma realidade distante, o que pode justificar o maior conhecimento dos doce= ntes em relação àquelas tecnologias, em detrimento dessa última.

No que se refere à Q3, quanto aos ambientes em que os docentes já utilizaram alguma dessas tecnologias, grande parte utilizou em Pesquisa científica, Sala de aula e Laboratório, tendo representatividade de 85%, 70= % e 60%, respectivamente, como expresso no Gráfico 3.

 

Gráfico 3 – Ambiente em que os respondentes já utilizaram tecnologias digitais na formação profissional

Fonte: Dados da pesquisa.

 

Em acordo com essa percepção, os ambientes onde os discentes já tiveram contato com alguma dessas tecnologias foram Sala em de Aula (65,7%), Pesquisa Científica (44,8%) e Laboratório (40,3%). Destaca-se como ponto positivo o = laboratório entre os ambientes mais utilizados, corroborando com as recomendações da CNI (2018a) e a percepção de outros autores, como Andrade (2018), com relação à valorização da aprendizagem prática no contexto dos avanços tecnológicos. Em contrapartida, ressalta-se, conforme os dados do Plano de Desenvolvimento Institucional (PDI) da UFS 2016-2020, que as condições de funcionamento dos laboratórios, oficinas e espaços experimentais da instituição obtiveram dimensão crítica na avaliação dos docentes, uma vez que entre 58% e 69% del= es avaliaram com nota até 5 para esses ambientes. Além disso, apenas 30% dos alunos da UFS estão satisfeitos com a infraestrutura dos laboratórios (UFS, 2016).

Considerando Q4, ainda que grande parte dos docentes tenham utilizado algumas das tecnologias, expressivamente, em pesquisas, como mostram os dados discutido= s anteriormente, quando questionados sobre o desenvolvimento de pesquisas envolvendo a temát= ica Indústria 4.0, 85% dos docentes responderam que nunca desenvolveram pesquisa científica sobre a temática, o que revela uma inconsistência entre as informações, já que 85% dos docentes afirmaram já terem abordado tecnologias digitais associadas à Indústria 4.0 em pesquisas científicas (Q3). Os 15% restantes já desenvolveram pesquisas relacionadas, entre outras coisas,= a: Modelagem e Simulação; Smart City= , Hackathon e HackaTruck= ; Montagem de Single Board Computer e automação de ares condicionados;= e Robótica móvel e manipuladores.

Com relação à Q5, os dados revelam, expressivamente, que 95% dos docentes utilizam como principal metodologia de ensino a Aula expositiva clássica, seguida da Aula prática (75%) e Seminário (65%), como mostra o Gráfico 4. <= o:p>

 

Gráfico 4 – Metodologias utilizadas pelos docentes no processo de formação profissi= onal

Fonte: Dados da pesquisa.

 

Os dados revelam que a formação profissional das engenharias da IES ainda está enraizada nos métodos tradicionais de ensino, contrapondo o que foi visto na literatura, tendo em vista que as metodologias ativas atreladas às novas tecnologias, enquanto processo de ensino-aprendizagem, modernizam os sistem= as tradicionais e se mostram mais adequadas para a formação do trabalhador no contexto da Quarta Revolução Industrial (SILVA et al., 2017; LORENZ = et al., 2015; BARBOSA; MOURA, 2014). Isso porque, segundo Cordeiro e Pozzo (2015, p. 136), a maneira de adquirir conhecime= nto dos estudantes mudou e “[...] a quantidade de estímulos e maneiras de inter= ação são outras e precisam ser contempladas no processo de ensino”.

De acordo com Q6, sobre o nível de satisfação dos respondentes com a utilização de tecnologias 4.0 no cotidiano profissional, a pesquisa expôs q= ue: 50% dos docentes estão razoavelmente satisfeitos, e 35% estão muito satisfeitos. Esses apresentam-se como dados críticos ao contrapor com o nív= el do uso das tecnologias digitais pelos docentes, uma vez que, embora a utilização das tecnologias seja baixa, a parcela daqueles que estão satisfe= itos ainda é considerável. O que demonstra, portanto, uma inconsistência e distanciamento entre as informações. Já com relação ao nível de satisfação = dos discentes: 46,3% estão razoavelmente satisfeitos e 34,3% estão muito satisfeitos, como mostra a Tabela 2.

 

Tabela 2 – Contato dos respondentes com as tecnologias digitais<= /b>

 

Variação (%)

Q6

Q7

Q8

Q9

Q10

Docentes

Baixa Intensidade

15

15

-

20

0

Intensidade Moderada

50

70

-

65

25

Alta Intensidade

35

15

-

15

75

Total

100

100

-

100

100

Discentes

Baixa Intensidade

19,4

-

26,9

29,8

3

Intensidade Moderada

46,3

-

52,2

52,3

12

Alta Intensidade

34,3

-

20,9

17,9

85

Total

100

-

100

100

100

Fonte: Dados da pesquisa.

 

Conforme Q7, revela-se que 70% dos docentes sentem-se razoavelmente preparados para utilizar as tecnologias digitais no processo de ensino-aprendizagem. P= ode-se considerar que os professores estão “[...] aptos a motivar o aprendizado e abrir espaço para experiências práticas de engenharia e para a cooperação c= om o setor produtivo. É preciso que essas dimensões sejam valorizadas nos proces= sos de contratação, capacitação, avaliação e promoção dos docentes” (CNI, 2018a= , p. 14). Em contrapartida, Cordeiro e Pozzo (2015) constataram em seu estudo que uma das dificuldades de inovar no ambiente de ensino está atrelada, justamente, à formação docente.

Com relação ao nível de preparação dos discentes para utilizar as tecnologias digitais na atuação profissional, conforme Q8: 52,2% sentem-se razoavelmente preparados; 20,9% está muito preparado; e 26,9% está pouco preparado. Esse resultado pode ser reflexo da “[...] baixa expos= ição dos alunos a desafios práticos e a questões associadas à realidade da indús= tria e do mundo do trabalho [...]” (CNI, 2018a, p. 19). Sendo, portanto, relevan= te reafirmar a necessidade de adequação da formação profissional, com vista à estruturação apropriada dos cursos e carreiras.

Com relação à adequação dos Projetos Pedagógicos de Curso (Q9) para o contexto atual, os dados revelaram que 65% dos docentes acreditam que os Projetos Pedagógicos de Curso estão razoavelmente adequados ao cenário da Indústria 4.0. Os discentes corroboram essa percepção (52,3%).  Essa adequação é importante, como pôde s= er visto durante as discussões teóricas, cabendo evidenciar a recomendação da = CNI (2018a) para a inovação dos projetos pedagógicos.

Com relação à Q10, a pesquisa questionou sobre a importância do uso de tecnologias digitais no processo de ensino-aprendizagem: 75% dos docentes e= 85% dos discentes consideram muito importante. Isso reforça que, embora as controvérsias com relação às metodologias de ensino-aprendizagem e o uso das tecnologias digitais, há uma consciência sobre a importância das tecnologia= s no ensino e formação profissional, mesmo que a utilização desses recursos se acentue mais no plano teórico.

 

4.3 CONTRIBUIÇÕES DAS TECNOLOGIAS DIGITAIS PARA A FORMAÇÃO PROFISSION= AL

            Buscou-se avaliar as contribui= ções que as tecnologias digitais associadas à Indústria 4.0 podem trazer para a form= ação profissional a partir de 6 afirmativas (Q11, Q12, Q13, Q14, Q15 e Q16). Os dados da pesquisa estão dispostos na Tabela 3.

 =

Tabela 3 – Contribuições das tecnologias digitais para a formação profissional

 

Variação (%)

Q11

Q12

Q13

Q14

Q15

Q16

Docentes

Discordo totalmente

10

0

0

0

0

5

Discordo parcialmente

50

5

0

0

0

0

Indiferente

20

5

5

10

5

5

Concordo parcialmente

15

50

55

60

55

45

Concordo totalmente

5

40

40

30

40

45

Total

100

100

100

100

100

100

Discentes

Discordo totalmente

26,9

3

4,5

3

4,5

4,5

Discordo parcialmente

43,3

0

0

0

0

0

Indiferente

8,9

6

3

1,5

7,5

3

Concordo parcialmente

14,9

41,8

28,3

35,8

32,8

23,9

Concordo totalmente

6

49,2

64,2

59,7

55,2

68,6

Total

100

100

100

100

100

100

Fonte: Dados da pesquisa.

 =

Com relação à afirmativa “A instituição onde trabalho/estudo investe em tecnologias digitais avançadas” (Q11), 60% dos docentes e 70,2% = dos discentes discordam. Esse resultado serve como um alerta institucional ao apresentar a demanda de investimentos e incentivo ao desenvolvimento em ciê= ncia e tecnologias na formação profissional, essenciais no contexto da Indústria 4.0. Sobre a afirmativa “O uso de tecnologias digitais na formação profissional melhora a eficiência das aulas” (Q12), 90% e 91% dos docentes e discentes concordam, respectivamente, o que reafirma os benefíci= os do uso das tecnologias digitais na relação ensino-aprendizagem. Com relação= à afirmativa “O contato com as tecnologias digitais melhora a aprendizagem prática” (Q13), os docentes e discentes concordam em percentuais= de 95% e 92,5%, respectivamente, evidenciando a importância de enfatizar mais = as práticas de ensino, ao corroborar Silva et al. (2017).

Referente à afirmativa “A utilização de tecnologias digitais fortalece a relação e= ntre teoria e prática” (Q14), 90% dos docentes concordam e 95,5% dos discentes também. Sobre a afirmativa “O uso de tecnologias contribui par= a o desenvolvimento de competências multidisciplinares” (Q15), 95% d= os docentes concordam, como também 90% concordam com a afirmativa “O uso de tecnologias digitais contribui para o aperfeiçoamento da formação profissio= nal” (Q16). Os discentes concordam com a primeira (88%) e com a segunda (92,5%) afirmativas. Observa-se que as tecnologias são vistas como ferramen= tas fundamentais para a melhoria do processo de formação profissional, seja na relação teoria-prática, no desenvolvimento de competências multidisciplinares ou na eficiência do processo de ensino-aprendizagem, carecendo de investimentos q= ue se fazem relevantes para a consolidação dos benefícios identificados, como = pontua Silva et al. (2017), Aires, Moreira e Freire (2017), Bittencourt e Albino (2017) e Silva e Correa (2014). 

 =

4.4 DESENVOLVIMENTO DE HABILIDADES A PARTIR DO USO DAS TECNOLOGIAS DIGITAIS NA FORMAÇÃO PROFISSIONAL

Observa-se que o uso das tecnologias digitais associadas à Indústria 4.0 pode contribu= ir, de modo geral, para o desenvolvimento de todas as 10 habilidades elencadas = na pesquisa, na percepção dos respondentes, conforme os dados expostos na Tabe= la 4.

 =

Tabela 4 – Desenvolvimento de habilidades com o uso de tecnologias digitais na for= mação profissional

 

Variação (%)

Q17

Q18

Q19

Q20

Q21

Q22

Q23

Q24

Q25

Q26

Docentes

Baixa Intensidade

0

0

0

0

0

0

0

0

0

0

Intensidade Moderada

30

40

30

45

50

35

35

35

50

55

Alta Intensidade

70

60

70

55

50

65

65

65

50

45

Total

100

100

100

100

100

100

100

100

100

100

Discentes

Baixa Intensidade

6

6

6

6

7,5

6

6

7,5

10,5

12

Intensidade Moderada

32,8

31,3

43,3

44,8

28,3

26,8

20,9

40,3

56,7

55,2

Alta Intensidade

61,2

62,7

50,7

49,2

64,2

67,2

73,1

52,2

32,8

32,8

Total

100

100

100

100

100

100

100

100

100

100

Fonte: Dados da pesquisa.

 

As habilidades que mais se destacam na ótica dos docentes são: Inovação (Q1= 7, 70%); Empreendedorismo (Q19, 70%); Solução de problemas complexos (<= b>Q22, 65%); Análise de dados e TI (Q23, 65%); Comunicação (Q24, 65%= ); e Criatividade (Q18, 60%). Essa percepção corrobora com o estudo de Ai= res, Moreira e Freire (2017), que destacou que as competências essenciais dos profissionais para atuar na Indústria 4.0, com maior ocorrência, envolvem criatividade, inovação, comunicação, solução de problemas e conhecimentos técnicos, considerando a necessidade de preparar um profissional multidisciplinar. <= /span>

Semelhantemente à percepção dos docentes, para os discentes, o uso dessas tecnologias contr= ibui, mais expressivamente, para o desenvolvimento de cinco habilidades: Análise = de dados e TI (Q23, 73,1%); Solução de problemas complexos (Q22, 67,2%); Raciocínio lógico e matemático (Q21, 64,2%); Criatividade (<= b>Q18, 62,7%); e Inovação (Q17, 61,2%). A CNI (2018a, p. 14) reflete que “[= ...] a formação dos estudantes requer a inclusão de elementos de estímulo à criatividade e à atitude empreendedora<= /span>. É preciso desenvolver competências gerenciais e as habilidades de identific= ar, formular e resolver problemas de engenharia”.

 

4.5 IMPACTOS DO USO DAS TECNOLOGIAS DIGITAIS NA FORMAÇÃO PROFISSIONAL=

No que se refere aos benefícios (Q27) da utilização de tecnologias digi= tais na formação profissional, as respostas puderam ser categorizadas em três aspectos principais: Desenvolvimento de competências e habilidades (25%); Atualização profissional (25%); e Aspectos da formação profissional (35%), = como visto na Tabela 5.

 

Tabela 5 – Benefícios identificados=

 

Categorias destacadas na análise

Docentes (%)

Q27

Desenvolvimento de competências e habilidades

25

Atualização profissional

25

Aspectos da formação profissional

35

Não souberam responder

15

Total

100

Fonte: Dados da pesquisa.

 

Com relação ao Desenvolvimento de competências e habilidades, destacou-se, por exemplo, as seguintes respostas: (1) “Conectar os conhecimentos de diversas disciplinas e área= s, possibilitando ainda um contato com aplicações que motivam o aluno, e que p= odem ser um campo de trabalho no futuro”; (2) “Benefícios na solução de problemas, desenvolvimento de criatividade e pensamento crítico”; e (3)= “Inovação, criatividade, empreendedorismo”. Isso pode ser relacionado com as análises realizadas na categoria anterior, ao enfatizar as habilidades mais desenvolvidas por meio do uso das tecnologias digitais, corroborando autores como Aires, Moreira e Freire (2017), quanto = às competências requeridas aos profissionais da Quarta Revolução Industrial.

Quanto ao benefício da Atualização profis= sional, os docentes pontuaram como respostas: (1) “Melhoria constante na atualiz= ação do conhecimento técnico e disponibilidade imediata de informações pra tomad= as de decisões em processos e produtos em que o engenheiro irá atuar”; (2)= “Atualização com relação às tendências do mercado”; e (3) “Atualização, pensamento complexo e computacional”. Infere-se, então, que a inserção das tecnolo= gias digitais no ensino contribui para que os profissionais tenham, entre outras coisas, a capacidade de acompanhar as inovações conforme os avanços tecnológicos.

Outro benefício destacado pelos docentes, em grande parte, foi sobre os Aspectos da formação profissional, ao citarem: (1) “Hoje em dia isso é a realidade nas grandes indústrias, logo, garantirá uma melhora na formação”; (2) “Preparar melhor os estudantes para o que possivelmente eles irão li= dar no mercado de trabalho”; e (3) “Os profissionais precisam se familiarizar com as tecnologias desde sua formação, de maneira que desenvol= vam suas habilidades num ambiente similar àquele onde exercerá suas atividades profissionais. Além disso, supostamente as tecnologias podem aumentar a produtividade do processo de ensino-aprendizagem”. Considerando a celeridade da informatização e digitalização da manufatura, enfatiza-se a r= elevância do contato com recursos tecnológicos desde o processo de formação profissio= nal, garantindo o adequado acompanhamento das evoluções tecnológicas, alinhadas = às necessidades da economia e sociedade (CNI, 2018a; BITTENCOURT; ALBINO, 2017= ).

Sobre os desafios e/ou limitações (Q28), = os docentes destacaram aspectos que foram categorizados em três eixos principa= is: Recursos financeiros para a aquisição de tecnologias e capacitação (20%); Infraestrutura disponível (15%); e Diferentes aspectos da formação (30%), c= omo mostra a Tabela 6.

 

Tabela 6 – Desafios identificados

 

Categorias destacadas na análise

Docentes (%)

Q28

Recursos financeiros para a aquisição de tecnologias e capacitação

20

Infraestrutura disponível

15

Diferentes aspectos da formação

30

Não souberam responder

25

Outros

10

Total

100

Fonte: Dados da pesquisa.

 

Com relação ao eixo Recursos financeiros para a aquisição de tecnologias e capacitação, destacou-se, por exemplo: (1) “Custo relacionado à aquisição de tecnolog= ias e capacitação pessoal”; e (2) “Recursos financeiros para adquirir ou produzir tecnologias inerentes à indústria 4.0. Acesso à informação e treinamento especializado”. É possível inferir que o alto valor para implementação das tecnologias nas indústrias e nos sistemas de educação, no Brasil, dificulta a modernização do ensino e capacitação profissional de al= unos e docentes. O exposto também retoma o que foi alertado, a partir da análise= da questão Q11, quanto à necessidade de investimento da universidade com relação ao incentivo ao desenvolvimento de ciência e tecnologias no âmbito = da formação profissional.

Os docentes pontuaram também desafios relacionados à Infraestrutura disponível, ao cit= arem a necessidade de: (1) “Melhores recursos, como laboratórios preparados= ”; e (2) “Compatibilidade, segurança, conectividade e integração das novas tecnologias entre si e com as tecnologias ligadas”. Ou seja, não há estruturas adequadas disponíveis para a utilização, implementação e desenvolvimento das tecnologias digitais no ensino. Uma vez que, como visto anteriormente, a universidade investe pouco em tecnologias avançadas na percepção dos respondentes. =

Outro entrave destacado pelos docentes, e do mes= mo modo que os benefícios, está ligado aos Diferentes aspectos da formação: (1) “Aprender a utilizá-las e ter as ferram= entas disponíveis”; (2) “Conhecimento técnico por parte dos docentes. Dado= que a maioria deles se prendem em aulas e conteúdos muitas vezes já ultrapassad= os”. Isso enfatiza a importância da difusão dos conhecimentos relacionados às tecnologias digitais, suas potencialidades e possibilidades de aplicação no ensino e formação profissional, tendo em vista as discussões acerca da relevância das tecnologias atreladas às metodologias ativas de ensino-aprendizagem no desenvolvimento das competências e habilidades essenciais para o novo profissional.

 

5 CONSIDERAÇÕES FINAIS

            A emergência da Indústria 4.0 trouxe desdobramentos para diversas áreas da sociedade, apoiados em tecnologias digitais avançadas, implicando na necessidade da qualificação dos profissionais para atuar dentro desse novo modelo. Assim, buscou-se analisar as contribuições das tecnologias digitais associadas à Indústria 4.0 para o aprimoramento da formação profissional, t= endo como parâmetro a particularidade do ensino de engenharia na UFS, consideran= do a percepção de docentes e discentes do CCET.

A parti= r da análise, constatou-se que, embora haja um baixo investimento em tecnologias avançadas pela IES analisada, há uma consciência dos respondentes acerca da importância das tecnologias digitais no processo de formação profissional. = No entanto, o pouco conhecimento acerca dessas tecnologias, em sua maioria, ac= aba restringindo a atenção dada a esses recursos, limitando o aprofundamento da temática. Apesar de tais recursos trazerem contribuições significativas par= a a formação profissional, pouco se tem usado de maneira mais dinâmica e prátic= a, como recomenda a literatura estudada.

Há uma expressiva adoção de metodologias tradicionais de ensino (aula expositiva clássica e afins), ao invés de outros métodos como as metodologias ativas (= PBL, Arco de Maguerez etc.), processo relevante para= favorecer uma melhor adequação da relação entre teoria e prática coadunada aos recurs= os tecnológicos; e, com isso, possibilitar o desenvolvimento de experiências de investigação, solução de problemas complexos e reais, assim como o desenvolvimento de habilidades multidisciplinares.

A Quart= a Revolução Industrial cria um cenário de digitalização da manufatura, exigindo dos pro= fissionais novas habilidades cognitivas relacionadas, principalmente, à análise de dad= os e TI, empreendedorismo e inovação. Para isso, faz-se necessária a adaptação d= os currículos escolares, bem como a adequação dos projetos pedagógicos de curs= os de modo a viabilizar a aproximação das tecnologias digitais enquanto recurs= os pedagógicos.

Mediant= e as discussões, apontam-se implicações de ordem acadêmica, no sentido de provoc= ar o debate acerca, principalmente, das novas tecnologias digitais advindas do contexto da Quarta Revolução Industrial, incentivando reflexões que contrib= uam para o desenvolvimento dos sistemas de ensino. Acredita-se que a adequação = do processo de ensino-aprendizagem e formação profissional, por meio das tecnologias digitais, deve ser mais estimulada de modo a criar uma estrutura tecnologicamente avançada que simule o ambiente que os profissionais encontrarão no mercado de trabalho, criando condições objetivas para que os futuros profissionais tenham a capacidade de acompanhar a celeridade dos avanços tecnológicos.

Revelam= -se, também, implicações de ordem gerencial, no sentido de os dirigentes de instituições de ensino e governos atentarem-se às demandas de formação profissional na conjuntura de significativas transformações apresentadas, devendo desenvolver estratégias aderentes às novas práticas. Além disso, é importante a interlocução contínua entre as indústrias e IES no alinhamento= das necessidades de formação e na tomada de decisões sobre a implementação de a= ções de inovação e aproveitamento do potencial tecnológico.

O estud= o traz contribuições para a problematização da temática que se mostra relevante no contexto dos avanços tecnológicos. Dentro das condições estabelecidas, a análise se mostrou aderente à realidade do estudo, favorecendo elementos pa= ra a compreensão desse ambiente inovador. Recomenda-se o desenvolvimento de outr= os estudos exploratórios como este, direcionando para casos múltiplos em outro= s centros e/ou IES. Partindo disso, ampliar as discussões acerca dos impactos da Indústria 4.0 no cenário da formação profissional. Como limitação para este estudo, aponta-se o corte transversal e o estudo de um único caso, não possibilitando maiores generalizações.

&nb= sp;

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[1] Pesquisa Nacional por Amo= stra de Domicílios/Instituto Brasileiro de Geografia e Estatística.

[2] No Brasil, o Governo Federal, por meio do Ministério da Indústria, Comércio Exterior e Serviços = e da Associação Brasileira de Desenvolvimento Industrial, criou a Agenda brasileira para a Indústria 4.0= com o intuito de criar estratégias para o desenvolvimento da Indústria 4.0 = no país.

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                        =                                                Volta Redonda/RJ – 24 e 25 de novembro de 2011

 

 

 

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