INTELIGÊNCIA ARTIFICIAL NA EDUCAÇÃO DE INDIVÍDUOS ADULTOS COM 50 ANOS DE IDADE OU MAIS: UMA ABORDAGEM ASSISTIVA
DOI:
https://doi.org/10.56238/arev7n8-085Palavras-chave:
Inteligência Artificial, Educação de Pessoas 50+, Personalização, Inclusão DigitalResumo
A inteligência artificial (IA) tem revolucionado a educação ao oferecer soluções personalizadas e inclusivas, mas seu potencial na educação de pessoas com 50 anos ou mais permanece ainda pouco explorado. No contexto educacional este trabalho explora o potencial da combinação entre metodologias ativas e IA na educação de indivíduos adultos na faixa etária de cinquenta ou mais e assim reconhece as particularidades e os desafios do processo de aprender nessa faixa etária. Por meio de uma revisão bibliográfica e sua análise, faz uma reflexão sobre as oportunidades e os desafios da implementação identificando que os adultos cinquentões estão cada vez mais procurando voltar aos bancos escolares. Esta pesquisa, neste sentido objetiva analisar como a IA pode facilitar o processo e a construção de um conhecimento contínuo e atualizado, promovendo a inclusão digital e transpondo desafios específicos desse grupo etário como barreiras tecnológicas e necessidades emocionais. Por meio de uma análise SWOT, identificou-se oportunidades com a personalização do ensino e automação de tarefas administrativas. Contudo, há ameaças como a dependência tecnológica e questões éticas. Conclui-se que a Inteligência Artificial possibilita transformar a educação para esse público de 50 anos ou mais e facilitar a inclusão definitiva na sociedade ativa e produtiva.
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ADEL, A.; AHSAN, A.; DAVISON, C. (2024). ChatGPT Promises and Challenges in Education: Computational and Ethical Perspectives. Educ. Sci., 14, 814. https://doi.org/10.3390/educsci14080814. DOI: https://doi.org/10.3390/educsci14080814
AHMAD, S.F., ALAM, M.M., RAHMAT, M.K., MUBARIK, M.S., & HYDER, S.I. (2022). Academic and Administrative Role of Artificial Intelligence in Education. Sustainability, 14, 1101. https://doi.org/10.3390/su14031101. DOI: https://doi.org/10.3390/su14031101
ALMUFARREH, A. (2024). Determinants of Students’ Satisfaction with AI Tools in Education: A PLS-SEM-ANN Approach. Sustainability, 16, 5354. https://doi.org/10.3390/su16135354. DOI: https://doi.org/10.3390/su16135354
ANTÔNIO, M. R., REGINA, O. M., GOUSSAIN, B. G. C. S., SILVA, M. B. (2024). Neuroergonomics approach in the workplace aiming to standardize movements and increase workers’ sense of well-being. 24(10), 472–482. https://doi.org/10.53660/CLM-3313-24H27 DOI: https://doi.org/10.53660/CLM-3313-24H27
ARAVANTINOS, S., LAVIDAS, K., VOULGARI, I., PAPADAKIS, S., KARALIS, T., & KOMIS, V. (2024). Educational Approaches with AI in Primary School Settings: A Systematic Review of the Literature Available in Scopus. Educ. Sci., 14, 744. https://doi.org/10.3390/educsci14070744. DOI: https://doi.org/10.3390/educsci14070744
BACICH, L.; MORAN, J. (Orgs.). 2018. Metodologias ativas para uma educação inovadora: uma abordagem teórico-prática. Porto Alegre: Penso.
BECKER, B. A., DENNY, P., FINNIE-ANSLEY, J., LUXTON-REILLY, A., PRATHER, J., & SANTOS, E. A. (2023). Programming is hard – or at least it used to be: Educational Opportunities and Challenges of AI Code Generation. SIGCSE 2023. https://doi.org/10.1145/3545945.3569759. DOI: https://doi.org/10.1145/3545945.3569759
BELL, R., & BELL, H. (2023). Entrepreneurship education in the era of generative artificial intelligence. Entrepreneurship Education. https://doi.org/10.1007/s41959-023-00099-x. DOI: https://doi.org/10.1007/s41959-023-00099-x
BENEVIDES, M. P.; XAVIER, K. R. S. L.; et al. (2024) Sign talk assistive technology: real-time recognition of the libras typical alphabet using artificial intelligence. RGSA, v. 18, n. 12, p. e010610, 2024. DOI: https://doi.org/10.24857/rgsa.v18n12-214 DOI: https://doi.org/10.24857/rgsa.v18n12-214
BOZKURT, A., KARADENIZ, A., BANERES, D., GUERRERO-ROLDÁN, A.E., & RODRÍGUEZ, M.E. (2021). Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century. Sustainability, 13, 800. https://doi.org/10.3390/su13020800. DOI: https://doi.org/10.3390/su13020800
CELIK, I., DINDAR, M., MUUKKONEN, H., & JÄRVELÄ, S. (2022). The Promises and Challenges of Artificial Intelligence for Teachers: a Systematic Review of Research. TechTrends, 66, 616-630. https://doi.org/10.1007/s11528-022-00715-y. DOI: https://doi.org/10.1007/s11528-022-00715-y
CHEN, L., CHEN, P., & LIN, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264-75278. https://doi.org/10.1109/ACCESS.2020.2988510. DOI: https://doi.org/10.1109/ACCESS.2020.2988510
CINAR, A.B., & BILODEAU, S. (2024). Incorporating AI into the Inner Circle of Emotional Intelligence for Sustainability. Sustainability, 16, 6648. https://doi.org/10.3390/su16156648. DOI: https://doi.org/10.3390/su16156648
COELHO, M. H.; SARTOR, M.; MANENTE, M. T.; FRIGO, L. B. e POZZEBON, E. (2017). Tecnologia, inovação e educação: caminhando juntas para o desenvolvimento de smart cities. In: Revista novas tecnologias na Educação – UFRGS. v.15, n. 2. DOI: https://doi.org/10.22456/1679-1916.79185
CONG, Y. (2024). AI Language Models: An Opportunity to Enhance Language Learning. Informatics, 11, 49. https://doi.org/10.3390/informatics11030049. DOI: https://doi.org/10.3390/informatics11030049
COSTA, J. C. L.; SANTOS, D. F. A.; OLIVEIRA, M. R. de; MOURA, R. A. (2025). Aprendizagem com solução de problemas reais para aprimoramento discente na injunção socioprofissional. Revista CLCS, [S l], v18, n 2, p. e15288, 2025. DOI: 10.55905/revconv.18n.2-100. DOI: https://doi.org/10.55905/revconv.18n.2-100
CROMPTON, H., & BURKE, D. (2023). Artificial intelligence in higher education: the state of the field. International Journal of Educational Technology in Higher Education, 20, 22. https://doi.org/10.1186/s41239-023-00392-8. DOI: https://doi.org/10.1186/s41239-023-00392-8
EGARA, F. O., & MOSIMEGE, M. (2024). Exploring the Integration of Artificial Intelligence-Based ChatGPT into Mathematics Instruction: Perceptions, Challenges, and Implications for Educators. Education Sciences, 14, 742. https://doi.org/10.3390/educsci14070742. DOI: https://doi.org/10.3390/educsci14070742
FERNÁNDEZ-HERRERO, J. (2024). Evaluating Recent Advances in Affective Intelligent Tutoring Systems: A Scoping Review of Educational Impacts and Future Prospects. Educ. Sci., 14, 839. https://doi.org/10.3390/educsci14080839. DOI: https://doi.org/10.3390/educsci14080839
GONZÁLEZ-CALATAYUD, V., PRENDES-ESPINOSA, P., & ROIG-VILA, R. (2021). Artificial Intelligence for Student Assessment: A Systematic Review. Applied Sciences, 11, 5467. https://doi.org/10.3390/app11125467. DOI: https://doi.org/10.3390/app11125467
HAO, M., WANG, Y., & PENG, J. (2024). Empirical Research on AI Technology-Supported Precision Teaching in High School Science Subjects. Appl. Sci., 14, 7544. https://doi.org/10.3390/app14177544. DOI: https://doi.org/10.3390/app14177544
HINOJO-LUCENA, F.-J., AZNAR-DÍAZ, I., CÁCERES-RECHE, M.-P., & ROMERO-RODRÍGUEZ, J.-M. (2019). Artificial Intelligence in Higher Education: A Bibliometric Study on its Impact in Scientific Literature. Education Sciences, 9, 51. https://doi.org/10.3390/educsci9010051. DOI: https://doi.org/10.3390/educsci9010051
JOŠT, G., TANESKI, V., & KARAKATIČ, S. (2024). The Impact of Large Language Models on Programming Education and Student Learning Outcomes. Appl. Sci., 14, 4115. https://doi.org/10.3390/app14104115. DOI: https://doi.org/10.3390/app14104115
KALLUNKI, V., KINNUNEN, P., PYÖRÄLÄ, E., HAARALA-MUHONEN, A., KATAJAVUORI, N., & MYYRY, L. (2024). Navigating the Evolving Landscape of Teaching and Learning: University Faculty and Staff Perceptions of the Artificial Intelligence-Altered Terrain. Education Sciences, 14, 727. https://doi.org/10.3390/educsci14070727. DOI: https://doi.org/10.3390/educsci14070727
KARACA, A., & KILCAN, B. (2023). The Adventure of Artificial Intelligence Technology in Education: Comprehensive Scientific Mapping Analysis. Participatory Educational Research, 10, 144-165. https://doi.org/10.17275/per.23.64.10.4. DOI: https://doi.org/10.17275/per.23.64.10.4
KOZOV, V., IVANOVA, B., SHOYLEKOVA, K., & ANDREEVA, M. (2024). Analyzing the Impact of a Structured LLM Workshop in Different Education Levels. Appl. Sci., 14, 6280. https://doi.org/10.3390/app14146280. DOI: https://doi.org/10.3390/app14146280
LEE, J., & SUH, S. (2024). AI Technology Integrated Education Model for Empowering Fashion Design Ideation. Sustainability, 16, 7262. https://doi.org/10.3390/su16177262. DOI: https://doi.org/10.3390/su16177262
MOURA, J. L.; MOURA, R. A. (2019). Interação humano-máquina no sistema produtivo da indústria 4.0 visando aumentar a produtividade e reduzir lesões por esforços repetitivos. Fatec de São José dos Campos/SP. DOI: https://doi.org/10.37619/issn2447-5378.v1i6.213.217-227 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. (2024). Design of Experiments (Doe) for non-specialists in statistics in the food industry: trials with popcorn. RGSA, 18(10). https://doi.org/10.24857/rgsa.v18n10-229 DOI: https://doi.org/10.24857/rgsa.v18n10-229
MUTAMBIK, I. (2024). The Use of AI-Driven Automation to Enhance Student Learning Experiences in the KSA: An Alternative Pathway to Sustainable Education. Sustainability, 16, 5970. https://doi.org/10.3390/su16145970. DOI: https://doi.org/10.3390/su16145970
NNADI, L.C., WATANOBE, Y., RAHMAN, M.M., & JOHN-OTUMU, A.M. (2024). Prediction of Students’ Adaptability Using Explainable AI in Educational Machine Learning Models. Appl. Sci., 14, 5141. https://doi.org/10.3390/app14125141. DOI: https://doi.org/10.3390/app14125141
OGUNLEYE, B., ZAKARIYYAH, K.I., AJAO, O., OLAYINKA, O., & SHARMA, H. (2024). A Systematic Review of Generative AI for Teaching and Learning Practice. Educ. Sci., 14, 636. https://doi.org/10.3390/educsci14060636. DOI: https://doi.org/10.3390/educsci14060636
OLIVEIRA, M. R.; BENEVIDES, K. D. G.; RUFINO, L. J. G. C.; SANTOS, D. F. A.; BENEVIDES, M. P.; MOURA, R. A. (2025). Direito Digital e sua limitação no uso da inteligência artificial hodierna: um ponto para reflexão e ações requeridas. CLCS, [S. l.], v. 18, n. 7, p. e19679, 2025. DOI: 10.55905/revconv.18n.7-341. https://ojs.revistacontribuciones.com/ojs/index.php/clcs/article/view/19679 DOI: https://doi.org/10.55905/revconv.18n.7-341
PRINCE, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223-231. DOI: https://doi.org/10.1002/j.2168-9830.2004.tb00809.x
RUIZ-ROJAS, L.I., SALVADOR-ULLAURI, L., ACOSTA-VARGAS, P. (2024). Collaborative Working and Critical Thinking: Adoption of Generative Artificial Intelligence Tools in Higher Education. Sustainability, 16, 5367. https://doi.org/10.3390/su16135367. DOI: https://doi.org/10.3390/su16135367
SAÚDE, S., BARROS, J. P., & ALMEIDA, I. (2024). Impacts of Generative Artificial Intelligence in Higher Education: Research Trends and Students’ Perceptions. Social Sciences, 13, 410. https://doi.org/10.3390/socsci13080410. DOI: https://doi.org/10.3390/socsci13080410
SCHEI, O. M., MØGELVANG, A., & LUDVIGSEN, K. (2024). Perceptions and Use of AI Chatbots among Students in Higher Education: A Scoping Review of Empirical Studies. Education Sciences, 14, 922. https://doi.org/10.3390/educsci14080922. DOI: https://doi.org/10.3390/educsci14080922
SEO, K., TANG, J., ROLL, I., FELS, S., & YOON, D. (2021). The impact of artificial intelligence on learner–instructor interaction in online learning. International Journal of Educational Technology in Higher Education, 18, 54. https://doi.org/10.1186/s41239-021-00292-9. DOI: https://doi.org/10.1186/s41239-021-00292-9
SIEMENS, G. (2013). 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
SILVA, E. A.; CAMARGO, A. A.; SILVA, M. B.; MOURA, R. A. (2024). Neuroergonomía y Tecnologías inmersivas para lograr un envejecimiento saludable sin dolor y además sin ortesis. Revista Exatas. V.30. UNITAU. DOI: https://doi.org/10.69609/1516-2893.2024.v30.n2.a3916 DOI: https://doi.org/10.69609/1516-2893.2024.v30.n2.a3916
ULLRICH, A., VLADOVA, G., EIGELSHOVEN, F., & RENZ, A. (2022). 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, 2, 16. https://doi.org/10.1007/s44163-022-00031-7 DOI: 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, 14, 141. https://doi.org/10.3390/soc14080141. DOI: https://doi.org/10.3390/soc14080141
VIDHANI, D.V.; MARIAPPAN, M. (2024). Optimizing Human–AI Collaboration in Chemistry: A Case Study on Enhancing Generative AI Responses through Prompt Engineering. Chemistry, 6, 723–737. https://doi.org/10.3390/chemistry6040043. DOI: https://doi.org/10.3390/chemistry6040043
WANGSA, K., KARIM, S., GIDE, E., & ELKHODR, M. (2024). A Systematic Review and Comprehensive Analysis of Pioneering AI Chatbot Models from Education to Healthcare: ChatGPT, Bard, Llama, Ernie, and Grok. Future Internet, 16, 219. https://doi.org/10.3390/fi16070219. DOI: https://doi.org/10.3390/fi16070219
WOODRUFF, E. (2024). AI Detection of Human Understanding in a Gen-AI Tutor. AI, 5, 898–921. https://doi.org/10.3390/ai5020045. DOI: https://doi.org/10.3390/ai5020045
XU, Y., ZHU, J., WANG, M., QIAN, F., YANG, Y., & ZHANG, J. (2024). 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, 14, 6418. https://doi.org/10.3390/app14156418. DOI: https://doi.org/10.3390/app14156418
ZAWACKI-RICHTER, O., MARÍN, V. I., BOND, M., & GOUVERNEUR, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16, 39. https://doi.org/10.1186/s41239-019-0171-0. DOI: https://doi.org/10.1186/s41239-019-0171-0
ZHANG, K., & ASLAN, A.B. (2021). AI Technologies for Education: Recent Research & Future Directions. Comput. Educ. Artif. Intell., 2, 100025. https://doi.org/10.1016/j.caeai.2021.100025. DOI: https://doi.org/10.1016/j.caeai.2021.100025
ZHANG, X., DING, Y., HUANG, X., LI, W., LONG, L., & DING, S. (2024). Smart Classrooms: How Sensors and AI Are Shaping Educational Paradigms. Sensors, 24, 5487. https://doi.org/10.3390/s24175487. DOI: https://doi.org/10.3390/s24175487
