METODOLOGIA ATIVA ASSISTIDA: A EDUCAÇÃO DE INDIVÍDUOS ADULTOS COM 50 ANOS DE IDADE OU MAIS FACILITADA PELA INTELIGÊNCIA ARTIFICIAL

Authors

  • Marcello Pereira Benevides Escola Senai de Taubaté/SP
  • Márcia Regina de Oliveira Universidade de Taubaté
  • Marcus Vinicius Souza Dias ETEC Machado de Assis, Caçapava/SP
  • Roque Antônio Moura Faculdade de Tecnologia de São José dos Campos/SP/Brasil https://orcid.org/0000-0002-3036-7116

Keywords:

Inteligência Artificial, Educação de pessoas 50 , Inclusão digital, Personalização

Abstract

Artificial intelligence (AI) has revolutionized education by offering personalized and inclusive solutions, but its potential in the education of people aged 50 and over remains largely unexplored. In the educational context, this work explores the potential of combining active methodologies and AI in the education of adults aged fifty and over and thus recognizes the particularities and challenges of the learning process in this age group. Through a literature review and analysis of the opportunities and challenges of implementation, it was found that adults in their fifties are increasingly seeking to return to school. This research, in this sense, aims to analyze how AI can facilitate the process and construction of continuous knowledge, promote digital inclusion and overcome specific challenges of this age group, such as technological barriers and emotional needs. Through SWOT analysis, opportunities were identified, such as the personalization of teaching and automation of administrative tasks. However, there are threats such as technological dependence and ethical issues. It is concluded that AI can transform education for this audience aged 50 or over and facilitate their definitive inclusion in an active and productive society.

Author Biographies

Marcello Pereira Benevides, Escola Senai de Taubaté/SP

Docente do Ensino Superior na Faculdade Senai de Taubaté/SP  

Márcia Regina de Oliveira, Universidade de Taubaté

Doutora e Docente do Ensino Superior na Universidade de Taubaté/SP

Marcus Vinicius Souza Dias, ETEC Machado de Assis, Caçapava/SP

Docente do Ensino Profissionalizante na ETEC Caçapava/SP 

Roque Antônio Moura, Faculdade de Tecnologia de São José dos Campos/SP/Brasil

Docente do Ensino Superior na Faculdade de Tecnologia de São José dos Campos/SP

References

ADEL, A.; AHSAN, A.; DAVISON, C. ChatGPT Promises and Challenges in Education: Computational and Ethical Perspectives. Education Sciences, vol. 14, n.8, 2024.

Disponível em: https://doi.org/10.3390/educsci14080814

ALMUFARREH, A. Determinants of Students’ Satisfaction with AI Tools in Education: A PLS-SEM-ANN Approach. Sustainability, vol. 16, n.13, 2024. Disponível em: https://doi.org/10.3390/su16135354.

CHEN, L., CHEN, P., & LIN, Z. Artificial Intelligence in Education: A Review. IEEE Access, vol. 8, pp.75264-75278, 2020. Disponível em: https://doi.org/10.1109/ACCESS.2020.2988510.

CINAR, A.B., & BILODEAU, S. Incorporating AI into the Inner Circle of Emotional Intelligence for Sustainability. Sustainability, vol.16, n.15, 2024. Disponível em: https://doi.org/10.3390/su16156648.

COELHO, M. H.; SARTOR, M.; MANENTE, M. T.; FRIGO, L. B. e POZZEBON, E. Tecnologia, Inovação e Educação: Caminhando Juntas para o Desenvolvimento de Smart Cities. Revista novas tecnologias na Educação – UFRGS, v.15, n. 2, 2017.

CONG, Y. (2024). AI Language Models: An Opportunity to Enhance Language Learning. Informatics, 11, 49, 2024. Disponível em: https://doi.org/10.3390/informatics11030049.

COSTA, J. C. L.; SANTOS, D. F. A.; OLIVEIRA, M. R. de; MOURA, R. A. Aprendizagem com solução de problemas reais para aprimoramento discente na injunção socioprofissional. Revista Contribuciones Las Ciencias Sociales, [S. l.], v. 18, n. 2, 2025. Disponível em: DOI: 10.55905/revconv.18n.2-100.

CUNHA, I. O. J.; JUNIOR, I. A. C.; MOURA, G. G.; MOURA, R. A.; SILVA, M. B. Segurança e ergonomia para força laboral feminina: interação com máquinas colaborativas. Sodebras, vol. 16, no. 187, 2021. Disponível em: DOI: https://doi.org/10.29367/issn.1809-3957.16.2021.187.08

FERNÁNDEZ-HERRERO, J. Evaluating Recent Advances in Affective Intelligent Tutoring Systems: A Scoping Review of Educational Impacts and Future Prospects. Education Sciences, vol 14, n.8, 2024. Disponível em: https://doi.org/10.3390/educsci14080839.

HAO, M., WANG, Y., & PENG, J. Empirical Research on AI Technology-Supported Precision Teaching in High School Science Subjects. Applied Sciences, vol. 14, no. 17, 2024. Disponível em: https://doi.org/10.3390/app14177544.

KOZOV, V., IVANOVA, B., SHOYLEKOVA, K., & ANDREEVA, M. Analyzing the Impact of a Structured LLM Workshop in Different Education Levels. Applied Sciences, vol. 14, no. 14, 2024. Disponível em: https://doi.org/10.3390/app14146280.

MOURA, J. L.; MOURA, R. A. Interação humano-máquina no sistema produtivo da indústria 4.0 visando aumentar a produtividade e reduzir lesões por esforços repetitivos. Anais do VI CIMATech -VI Congress of Industrial Management and Aeronautical Technology, Fatec de São José dos Campos/SP, 2019. Disponível em: DOI: https://doi.org/10.37619/issn2447-5378.v1i6.213.217-227

MOURA, R. A. DE, SANTOS, D. F. A., GOUSSAIN, B. G. S., OLIVEIRA, M. R. DE, & SILVA, M. B. Design of Experiments (Doe) for non-specialists in statistics in the food industry: trials with popcorn. RGSA Revista de Gestão, v. 18, no. 10, 2024. Disponível em: https://doi.org/10.24857/rgsa.v18n10-229

MUTAMBIK, I. The Use of AI-Driven Automation to Enhance Student Learning Experiences in the KSA: An Alternative Pathway to Sustainable Education. Sustainability, vol. 16, no. 14, 2024. Disponível em: https://doi.org/10.3390/su16145970.

NNADI, L.C., WATANOBE, Y., RAHMAN, M.M., & JOHN-OTUMU, A.M. Prediction of Students’ Adaptability Using Explainable AI in Educational Machine Learning Models. Applied Sciences, vol. 14, no. 12, 2024. Disponível em: https://doi.org/10.3390/app14125141.

OLIVEIRA, M. R. de; BENEVIDES, K. D. G.; RUFINO, L. J. G. C.; SANTOS, D. F. A.;

PRINCE, M. Does active learning work? A review of the research. Journal of Engineering Education, vol. 93, no. 3, pp. 223-231, 2024.

SEO, K., TANG, J., ROLL, I., FELS, S., & YOON, D. The impact of artificial intelligence on learner–instructor interaction in online learning. International Journal of Educational Technology in Higher Education, vol. 18, no. 54, 2021. Disponível em: https://doi.org/10.1186/s41239-021-00292-9.

SIEMENS, G.. Massive open online courses: Innovation in education? In R. McGreal, W. Kinuthia, & S. Marshall (Eds.), Open educational resources: Innovation, research and practice 1, pp. 5-20. Commonwealth of Learning and Athabasca University Press, 2013.

SILVA, E. A.; CAMARGO, A. A.; SILVA, M. B.; MOURA, R. A. Neuroergonomía y Tecnologías inmersivas para lograr un envejecimiento saludable sin dolor y además sin ortesis. Revista Ciências Exatas. vol. 30, no. 2, 2024. Disponível em: https://doi.org/10.69609/1516-2893.2024.v30.n2.a3916

ULLRICH, A., VLADOVA, G., EIGELSHOVEN, F., & RENZ, A. Data mining of scientific research on artificial intelligence in teaching and administration in higher education institutions: a bibliometrics analysis and recommendation for future research. Discover Artificial Intelligence, vol. 2, no, 16, 2022. Disponível em: https://doi.org/10.1007/s44163-022-00031-7

VÁZQUEZ-PARRA, J. C., HENAO-RODRÍGUEZ, C., LIS-GUTIÉRREZ, J. P., & PALOMINO-GÁMEZ, S. (2024). Importance of University Students’ Perception of Adoption and Training in Artificial Intelligence Tools. Societies, vol. 14, no. 8, 2024. Disponível em: https://doi.org/10.3390/soc14080141.

WANGSA, K., KARIM, S., GIDE, E., & ELKHODR, M. A Systematic Review and Comprehensive Analysis of Pioneering AI Chatbot Models from Education to Healthcare: ChatGPT, Bard, Llama, Ernie, and Grok. Future Internet, vol. 16, no. 7, 2024. Disponível em: https://doi.org/10.3390/fi16070219.

XU, Y., ZHU, J., WANG, M., QIAN, F., YANG, Y., & ZHANG, J. The Impact of a Digital Game-Based AI Chatbot on Students’ Academic Performance, Higher-Order Thinking, and Behavioral Patterns in an Information Technology Curriculum. Applied Sciences, vol. 14, no. 15, 2024. Disponível em: https://doi.org/10.3390/app14156418.

Published

2025-12-11

How to Cite

Benevides, M. P., Oliveira, M. R. de, Dias, M. V. S., & Moura, R. A. (2025). METODOLOGIA ATIVA ASSISTIDA: A EDUCAÇÃO DE INDIVÍDUOS ADULTOS COM 50 ANOS DE IDADE OU MAIS FACILITADA PELA INTELIGÊNCIA ARTIFICIAL. evista BTecLE, 9(2), 181–190. etrieved from https://revista-cbtecle.cps.sp.gov.br/index.php/CBTecLE/article/view/1278