A Inteligência Artificial sob uma Perspectiva Humana: Motivações, Adoção e Inovatividade entre Estudantes Tecnólogos
Palavras-chave:
Inteligência Artificial; Inovatividade; Motivação; Estudantes Tecnólogos; Ensino Superior.
Resumo
Este estudo analisa a influência das dimensões motivacionais (hedônica, social, cognitiva e funcional) no comportamento inovativo de estudantes tecnólogos frente à Inteligência Artificial (IA). Realizou-se uma pesquisa quantitativa e explicativa com 110 graduandos da FATEC e de outras instituições de ensino superior, utilizando modelagem por regressão linear múltipla no SPSS. Os resultados indicam que o Domínio Específico de Inovatividade (DSI) é explicado exclusivamente pela motivação social. Já a Inovação Inata (II) sofre influência simultânea das motivações social e cognitiva. Conclui-se que os fatores sociais desempenham papel central na inovatividade dos estudantes, evidenciando que a adoção da IA transcende aspectos puramente técnicos e envolve processos de interação e reconhecimento coletivo no ambiente acadêmico.
Referências
AGARWAL, R. & PRASAD, J. A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology. Information Systems Research, 9(2), 204–215, 1998. http://www.jstor.org/stable/23010927
ALBA, J. W. & HUTCHINSON, J. W. Dimensions of consumer expertise. Journal of Consumer Research, v. 13, n. 4, p. 411-454, 1987. https://doi.org/10.1086/209080
ARAUJO, C. F. et al. Domain-specific innovativeness: a meta-analysis in business and consumer. RAI Revista de Administração e Inovação, v. 13, n. 2, p. 99–106, 2016. https://doi.org/10.1016/j.rai.2016.03.003
BANDURA, A. Social Foundations of Thought and action: a Social Cognitive Theory. Englewood Cliffs, NJ: Prentice-Hall, 1986.
BHATTACHERJEE, A. Understanding Information Systems Continuance: An Expectation-Confirmation Model1. MIS Quarterly 1 September 2001; 25 (3): 351–370. https://doi.org/10.2307/3250921
CHIU, T. K. F. Digital support for student engagement in blended learning based on self-determination theory. Computers in Human Behavior, v. 124, art. 106909, 2021. https://doi.org/10.1016/j.chb.2021.106909
DAVIS, F. D. et al. Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1. Journal of Applied Social Psychology, 22: 1111-1132, 1992. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
DWIVEDI, Y. K. et al. “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, Article 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
GOLDSMITH, R. E. & HOFACKER, C. F. Measuring consumer innovativeness. JAMS 19, 209–221 (1991). https://doi.org/10.1007/BF02726497
HAIR, J. F. et al. Multivariate data analysis. 8. ed. Andover: Cengage Learning, 2019.
KIM, W. B. et al. Relationships among consumer innovativeness, learning, and global product purchases: store manager perspectives in retailing. Journal of Retailing and Consumer Services, v. 82, p. 104084, 2025. https://doi.org/10.1016/j.jretconser.2024.104084
LUI, M. L. C. Serviços digitais inteligentes: a influência da motivação e da satisfação com a vida no comportamento inovativo e na usabilidade. 211 f. Tese (Doutorado em Administração de Empresas) - Centro Universitário FEI, São Paulo, 2021. https://doi.org/10.31414/ADM.2021.T.131686
MALHOTRA, N. K. Pesquisa de marketing: uma orientação aplicada. 7. ed. Porto Alegre: Bookman, 2019.
NETLAND, T. et al. Comparing human-made and AI-generated teaching videos: An experimental study on learning effects. Computers & Education, v. 224, p. 105164, 2025. https://doi.org/10.1016/j.compedu.2024.105164
ROGERS, E. M. Diffusion of Innovations. 5. ed. New York: Free Press, 2003.
SALHIEH, S. M. & AL-ABDALLAT, Y. Technopreneurial Intentions: The Effect of Innate Innovativeness and Academic Self-Efficacy. Sustainability, v. 14, n. 1, p. 238, 2022. https://doi.org/10.3390/su14010238
SCHUMPETER, J. The theory of economic development. Harvard Economic Studies, 1934.
VENKATESH, V. et al. Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, Vol. 36, No. 1, pp. 157-178, 2012. https://doi.org/10.2307/41410412
VENKATESH, V. et al. User Acceptance of Information Technology: Toward A Unified Viewl. MIS Quarterly, 27, pp. 425-478, 2003. https://doi.org/10.2307/30036540
YAN, L. et al. The effects of generative AI agents and scaffolding on enhancing students’ comprehension of visual learning analytics. Computers & Education, v. 234, p. 105322, 2025. https://doi.org/10.1016/j.compedu.2025.105322
ALBA, J. W. & HUTCHINSON, J. W. Dimensions of consumer expertise. Journal of Consumer Research, v. 13, n. 4, p. 411-454, 1987. https://doi.org/10.1086/209080
ARAUJO, C. F. et al. Domain-specific innovativeness: a meta-analysis in business and consumer. RAI Revista de Administração e Inovação, v. 13, n. 2, p. 99–106, 2016. https://doi.org/10.1016/j.rai.2016.03.003
BANDURA, A. Social Foundations of Thought and action: a Social Cognitive Theory. Englewood Cliffs, NJ: Prentice-Hall, 1986.
BHATTACHERJEE, A. Understanding Information Systems Continuance: An Expectation-Confirmation Model1. MIS Quarterly 1 September 2001; 25 (3): 351–370. https://doi.org/10.2307/3250921
CHIU, T. K. F. Digital support for student engagement in blended learning based on self-determination theory. Computers in Human Behavior, v. 124, art. 106909, 2021. https://doi.org/10.1016/j.chb.2021.106909
DAVIS, F. D. et al. Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1. Journal of Applied Social Psychology, 22: 1111-1132, 1992. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
DWIVEDI, Y. K. et al. “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, Article 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
GOLDSMITH, R. E. & HOFACKER, C. F. Measuring consumer innovativeness. JAMS 19, 209–221 (1991). https://doi.org/10.1007/BF02726497
HAIR, J. F. et al. Multivariate data analysis. 8. ed. Andover: Cengage Learning, 2019.
KIM, W. B. et al. Relationships among consumer innovativeness, learning, and global product purchases: store manager perspectives in retailing. Journal of Retailing and Consumer Services, v. 82, p. 104084, 2025. https://doi.org/10.1016/j.jretconser.2024.104084
LUI, M. L. C. Serviços digitais inteligentes: a influência da motivação e da satisfação com a vida no comportamento inovativo e na usabilidade. 211 f. Tese (Doutorado em Administração de Empresas) - Centro Universitário FEI, São Paulo, 2021. https://doi.org/10.31414/ADM.2021.T.131686
MALHOTRA, N. K. Pesquisa de marketing: uma orientação aplicada. 7. ed. Porto Alegre: Bookman, 2019.
NETLAND, T. et al. Comparing human-made and AI-generated teaching videos: An experimental study on learning effects. Computers & Education, v. 224, p. 105164, 2025. https://doi.org/10.1016/j.compedu.2024.105164
ROGERS, E. M. Diffusion of Innovations. 5. ed. New York: Free Press, 2003.
SALHIEH, S. M. & AL-ABDALLAT, Y. Technopreneurial Intentions: The Effect of Innate Innovativeness and Academic Self-Efficacy. Sustainability, v. 14, n. 1, p. 238, 2022. https://doi.org/10.3390/su14010238
SCHUMPETER, J. The theory of economic development. Harvard Economic Studies, 1934.
VENKATESH, V. et al. Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, Vol. 36, No. 1, pp. 157-178, 2012. https://doi.org/10.2307/41410412
VENKATESH, V. et al. User Acceptance of Information Technology: Toward A Unified Viewl. MIS Quarterly, 27, pp. 425-478, 2003. https://doi.org/10.2307/30036540
YAN, L. et al. The effects of generative AI agents and scaffolding on enhancing students’ comprehension of visual learning analytics. Computers & Education, v. 234, p. 105322, 2025. https://doi.org/10.1016/j.compedu.2025.105322
Publicado
2026-06-25
Como Citar
Soares, S., & Lui, M. (2026). A Inteligência Artificial sob uma Perspectiva Humana: Motivações, Adoção e Inovatividade entre Estudantes Tecnólogos. Revista De Ubiquidade, 9(1), 52-71. Recuperado de https://revistas.anchieta.br/index.php/RevistaUbiquidade/article/view/2377
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