Hybrid Intelligence in the support to the distance higher education: conditions, possibilities and restrictions in an University
DOI:
https://doi.org/10.21573/vol42n12026.145719Keywords:
hybrid intelligence, Artificial intelligence, Organizations, Learning, EducationAbstract
The research aims to analyze the possibilities and limitations of using hybrid intelligence to support distance learning. The research is qualitative and uses the case study method, drawing on data from interviews and focus groups, as well as secondary sources. Content analysis resulted in three categories: conditions for the use of hybrid intelligence, possibilities for learning with hybrid intelligence, and restrictions on the use of hybrid intelligence. The results address the implementation, possibilities, and constraints of hybrid intelligence applications in the context analyzed.
Downloads
References
ALPAYDIN, Ethem. Introduction to machine learning. MIT Press, 2020.
BRADY, Henry E. The Challenge of Big Data and Data Science. Annual Review of Political Science, v. 22, p. 297-323, 2019. https://doi.org/10.1146/annurev-polisci-090216-023229. Acesso em: 12 dez. 2024.
BUDHWAR, Pawan et al. Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT. Human Resource Management Journal, v. 33, n. 3, p. 606-659, 2023. Disponível em: https://doi.org/10.1111/1748-8583.12524 . Acesso em: 12 dez. 2024.
CARVALHO, André Carlos Ponce de Leon Ferreira de. Inteligência Artificial: riscos, benefícios e uso responsável. Estudos Avançados, v. 35, n. 101, p. 21-35, 2021. Disponível em: https://doi.org/10.1590/s0103-4014.2021.35101.003 . Acesso em: 15 jan. 2025.
CAVALCANTI, Wênio Marcelo; TAVARES, Elaine Jordan; PEREIRA JÚNIOR, José Lúcio. Aplicação da Inteligência Artificial no Ensino Superior: Áreas e Características. Revista ADM.MADE, v. 25, n. 2, p. 40-61, 2021. Disponível em: https://revistaadmmade.estacio.br/index.php/admmade/article/view/9201 . Acesso em: 22 jan. 2025.
DA SILVA, Lucas Ferreira. Dados Abertos Governamentais conectados em Big Data: framework conceitual. São Paulo: Editora Dialética, 2021.
DE FREITAS, Nikenge. Inteligência de negócios e análise de dados. São Paulo: Editora Senac, 2023.
DELLERMANN, Dominik; EBEL, Philipp; SÖLLNER, Matthias; LEIMEISTER, Jan Marco. Hybrid intelligence. Business & Information Systems Engineering, v. 61, n. 5, p. 637-643, 2019. Disponível em: https://doi.org/10.1007/s12599-019-00595-2 . Acesso em: 22 jan. 2025.
ELKJAER, Bente; BRANDI, Ulrik. Organizational Learning viewed from a social learning perspective. In: EASTERBY-SMITH, Mark; LYLES, Marjorie (Orgs.). Handbook of organizational learning and knowledge management. 2. ed. Chichester: John Wiley & Sons, 2011. p. 23-41.
FURR, Nathan; OZCAN, Pinar; EISENHARDT, Kathleen. O Que é a Transformação Digital? Tensões Fundamentais enfrentadas pelas Empresas estabelecidas no Cenário Mundial. Revista Inteligência Competitiva, v. 12, p. 4-10, 2022. Disponível em: https://doi.org/10.24883/eaglesustainable.v12i.443 . Acesso em: 12 dez. 2024.
GAWALI, Mahendra Bhatu; GAWALI, Swapnali Sunil. Optimized skill knowledge transfer model using hybrid Chicken Swarm plus Deer Hunting Optimization for human to robot interaction. Knowledge-Based Systems, v. 220, p. 106945, 2021. Disponível em: https://doi.org/10.1016/j.knosys.2021.106945 . Acesso em: 15 jan. 2025.
GUBAREVA, Regina; LOPES, Rui Pedro. Virtual Assistants for Learning: A Systematic Literature Review. CSEDU, v. 1, p. 97-103, 2020. Disponível em: https://doi.org/10.5220/0009417600970103 . Acesso em: 22 jan. 2025.
HADJIMICHAEL, Demetris; RIBEIRO, Rodrigo; TSOUKAS, Haridimos. How does embodiment enable the acquisition of tacit knowledge in organizations? From Polanyi to Merleau-Ponty. Organization Studies, v. 45, n. 4, p. 545-570, 2024. Disponível em: https://doi.org/10.1177/01708406241228374 . Acesso em: 12 dez. 2024.
HOLMES, Wayne; TUOMI, Ilkka. State of the art and practice in AI in education. European Journal of Education, v. 57, n. 4, p. 542-570, 2022. Disponível em: https://doi.org/10.1111/ejed.12533 . Acesso em: 15 jan. 2025.
IGUAL, Laura; SEGUÍ, Santi. Introduction to Data Science. In: Introduction to Data Science. Undergraduate Topics in Computer Science. Cham: Springer, 2024. Disponível em: https://doi.org/10.1007/978-3-031-48956-3_1 . Acesso em: 12 dez. 2024.
INEP. Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira. Ensino a distância cresce 47,4% em uma década. 2022. Disponível em: https://www.gov.br/inep/pt-br/assuntos/noticias/censo-da-educacao-superior/ensino-a-distancia-cresce-474-em-uma-decada . Acesso em: 12 dez. 2024.
JARRAHI, Mohammad Hossein et al. Artificial intelligence and knowledge management: A partnership between human and AI. Business Horizons, v. 66, n. 1, p. 87-99, 2023. Disponível em: https://doi.org/10.1016/j.bushor.2022.03.002. Acesso em: 22 jan. 2025.
JÄRVELÄ, Sanna; ZHAO, Guoying; NGUYEN, Andy; CHEN, Hanxiang. Hybrid intelligence: Human–AI coevolution and learning. British Journal of Educational Technology, 2024. Disponível em: https://bera-journals.onlinelibrary.wiley.com/doi/epdf/10.1111/bjet.13560 . Acesso em: 15 jan. 2025.
LATOUR, Bruno. On Recalling ANT. The Sociological Review, v. 47, n. 1_suppl, p. 15-25, 1999. Disponível em: https://doi.org/10.1111/j.1467-954X.1999.tb03480.x . Acesso em: 15 jan. 2025.
LATOUR, Bruno. Is Re-modernization Occurring - And If So, How to Prove It? A Commentary on Ulrich Beck. Theory, Culture & Society, v. 20, n. 2, p. 35-48, 2003. Disponível em: https://doi.org/10.1177/0263276403020002002 . Acesso em: 22 jan. 2025.
LATOUR, Bruno; MILSTEIN, Denise; MARRERO-GUILLAMÓN, Isaac; RODRÍGUEZ-GIRALT, Israel. Down to earth social movements: an interview with Bruno Latour. Social Movement Studies, v. 17, p. 1-9, 2018. Disponível em: https://doi.org/10.1080/14742837.2018.1459298 . Acesso em: 15 jan. 2025.
LECUN, Yann; BENGIO, Yoshua; HINTON, Geoffrey. Deep learning. Nature, v. 521, n. 7553, p. 436-444, 2015. Disponível em: https://doi.org/10.1038/nature14539 . Acesso em: 12 dez. 2024.
LEE, Kai-Fu. Inteligência artificial. Rio de Janeiro: Globo, 2019.
LEE, Kai-Fu; QIUFAN, Chen. 2041: Como a inteligência artificial vai mudar sua vida nas próximas décadas. Rio de Janeiro: Alta Books, 2022.
LEODOLTER, Werner. Digital Transformation shaping the Subconscious Minds of Organizations. Cham: Springer, 2017.
LIM, Jongchan; HWANG, Junseok. Exploring trends and topics in hybrid intelligence using keyword co-occurrence networks and topic modelling. Futures, v. 167, 2025. Disponível em: https://doi.org/10.1016/j.futures.2025.103550 . Acesso em: 22 jan. 2025.
LIU, Yu; XU, Yi; ZHOU, Shuhua. Enhancing User Experience through Machine Learning-Based Personalized Recommendation Systems: Behavior Data-Driven UI Design. TechRxiv, 2024. Disponível em: https://doi.org/10.36227/techrxiv.173337559.97825928/v1 . Acesso em: 12 dez. 2024.
LUDERMIR, Teresa Bernarda. Inteligência Artificial e Aprendizado de Máquina: estado atual e tendências. Estudos Avançados, v. 35, n. 101, p. 85-94, 2021. Disponível em: https://doi.org/10.1590/s0103-4014.2021.35101.007 . Acesso em: 12 dez. 2024.
MALLIK, Sruti; GANGOPADHYAY, Ahana. Proactive and reactive engagement of artificial intelligence methods for education: A review. Frontiers in Artificial Intelligence, v. 6, p. 1151391, 2023. Disponível em: https://doi.org/10.3389/frai.2023.1151391 . Acesso em: 15 jan. 2025.
MELO, Marlene de Fátima Andrade de Queiroz. Discutindo a aprendizagem sob a perspectiva da teoria ator-rede. Educar Em Revista, n. 39, p. 177-190, 2011. Disponível em: https://www.scielo.br/j/er/a/MpwYCqWm3SMv5vJvJcgD9wx/ . Acesso em: 22 jan. 2025.
MITTELSTADT, Brent Daniel; ALLO, Patrick; TADDEO, Mariarosaria; WACHTER, Sandra; FLORIDI, Luciano. The ethics of algorithms: Mapping the debate. Big Data & Society, v. 3, n. 2, 2016. Disponível em: https://doi.org/10.1177/2053951716679679 . Acesso em: 12 dez. 2024.
MOSCOSO-ZEA, Oswaldo; CASTRO, Joel; PAREDES-GUALTOR, Jorge; LUJÁN-MORA, Sergio. A hybrid infrastructure of enterprise architecture and business intelligence & analytics for knowledge management in education. IEEE Access, v. 7, p. 38778-38788, 2019. Disponível em: https://doi.org/10.1109/ACCESS.2019.2906343 . Acesso em: 15 jan. 2025.
OLIVEIRA, Fábio et al. Inteligência artificial na educação: uma revisão sistemática e abrangente dos benefícios e desafios. Revista Caderno Pedagógico, v. 10, n. 3, p. 234-249, 2020. Disponível em: https://ojs.studiespublicacoes.com.br/ojs/index.php/cadped/article/view/13611 . Acesso em: 22 jan. 2025.
PEETERS, Marieke M. M.; VAN DIGGELEN, Jurriaan; VAN DEN BOSCH, Karel; BRONKHORST, Adelbert; NEERINCX, Mark A.; SCHRAAGEN, Jan Maarten; RAAIJMAKERS, Stephan. Hybrid collective intelligence in a human–AI society. AI & Society, v. 36, n. 1, p. 217-238, 2021. Disponível em: https://doi.org/10.1007/s00146-020-01005-y . Acesso em: 12 dez. 2024.
PRATER, Ryan; LAURENZI, Emanuele. A Hybrid Intelligent Approach for the Support of Higher Education Students in Literature Discovery. CEUR Workshop Proceedings, v. 3121, 2022. Disponível em: https://ceur-ws.org/Vol-3121/paper13.pdf . Acesso em: 22 jan. 2025.
RAUTENBERG, Sandro; DO CARMO, Paulo Roberto Vasconcelos. Big data e ciência de dados: complementariedade conceitual no processo de tomada de decisão. Brazilian Journal of Information Science: research trends, v. 13, n. 4, p. 56-67, 2019. Disponível em: https://doi.org/10.36311/1981-1640.2019.v13n4.06.p56 . Acesso em: 15 jan. 2025.
RUSSELL, Stuart; NORVIG, Peter. Inteligência Artificial. Rio de Janeiro: Elsevier, 2013.
SANTOS, Jucimara et al. Ética na aplicação de sistemas de inteligência artificial na educação. Revista Brasileira de Informática na Educação, v. 28, n. 1, p. 134-150, 2020. Disponível em: https://doi.org/10.5753/rbie.2020.28.0.134 . Acesso em: 22 jan. 2025.
SICHMAN, Jaime Simão. Inteligência Artificial e sociedade: avanços e riscos. Estudos Avançados, v. 35, n. 101, p. 37-50, 2021. Disponível em: https://doi.org/10.1590/s0103-4014.2021.35101.004 . Acesso em: 12 dez. 2024.
SOUZA MOURA, Francisco Luan de; DA SILVA RIBEIRO, Maria Edgleuma. Produção científica sobre o modelo de gestão das universidades públicas brasileiras. Revista Brasileira de Política e Administração da Educação, v. 40, n. 1, 2024. Disponível em: https://doi.org/10.21573/vol40n12024.131944 . Acesso em: 15 jan. 2025.
TEIXEIRA, João de Fernandes. Mentes e máquinas: Uma introdução à ciência cognitiva. Porto Alegre: Artes Médicas, 1998.
TEIXEIRA, João de Fernandes; GUIMARÃES, André Sathler. Inteligência Híbrida: parcerias cognitivas entre mentes e máquinas. Informática na Educação: teoria & prática, v. 9, n. 2, 2006. Disponível em: https://doi.org/10.22456/1982-1654.3171 . Acesso em: 12 dez. 2024.
TUCZYŃSKI, Krzysztof. The use of Artificial Intelligence in Distance Education. Journal of Modern Science, v. 6, n. 60, 2024. Disponível em: https://doi.org/10.13166/jms/197010 . Acesso em: 22 jan. 2025.
VICARI, Rosa Maria. Influências das Tecnologias da Inteligência Artificial no ensino. Estudos Avançados, v. 35, n. 101, p. 73-84, 2021. Disponível em: https://doi.org/10.1590/s0103-4014.2021.35101.006 . Acesso em: 15 jan. 2025.
VILLELA MAFRA DA SILVA, Alessandra; VALADÃO, Suzane. Educação a distância no Brasil: um panorama histórico sobre os últimos cinco anos da modalidade no país. Revista Brasileira de Política e Administração da Educação, v. 40, n. 1, 2024. Disponível em: https://doi.org/10.21573/vol40n12024.131088 . Acesso em: 12 dez. 2024.
WANG, Weitian; LI, Rui; CHEN, Yi; DIEKEL, Z. Max; JIA, Yunyi. Facilitating Human-Robot Collaborative Tasks by Teaching-Learning-Collaboration from Human Demonstrations. IEEE Transactions on Automation Science and Engineering, v. 16, n. 2, p. 640-653, 2019. Disponível em: https://doi.org/10.1109/TASE.2018.2840345 . Acesso em: 15 jan. 2025.
YIN, Robert K. Estudo de Caso: Planejamento e Métodos. 5. ed. Porto Alegre: Bookman, 2015.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 REVISTA BRASILEIRA DE POLÍTICA E ADMINISTRAÇÃO DA EDUCAÇÃO

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The Brazilian Journal Policy and Administration of Education of the Brazilian Association Policy and Administration of Education uses the Creative Commons - Attribution-Non-Commercial 4.0 International license as a basis for transferring rights, for open access journals (Open Archives Initiative - OAI). Open access means free availability on the Internet so that users can read, download, copy, distribute, print, search or reference the full text of the documents, process them for indexing, use them as input data for software programs, or use them for any other legal purpose, without financial, legal or technical barriers.
Authors who publish in this journal agree with the following terms:
- Authors retain the copyright and grant the journal the right to first publication, with the work simultaneously licensed under the Creative Commons Attribution License that allows the sharing of the article with acknowledgment of authorship and initial publication in this Journal.
- Authors are authorized to assume additional contracts separately, for the non-exclusive distribution of the version of the work published in this journal (eg, publishing in an institutional repository or as a book chapter), with acknowledgment of authorship and initial publication in this journal.
- Authors are allowed and encouraged to publish and distribute their work online (eg, in institutional repositories or on their personal page) at any point before or during the editorial process, as this can generate productive changes, as well as increase impact and citation of published work.

