Inteligência artificial e sua alfabetização: a fronteira educacional da arte e do design
DOI:
https://doi.org/10.54104/nodo.v20n39.2163Palavras-chave:
Artificial Intelligence, AI, AI Literacy, AI Ethics, Design EducationResumo
A integração da Inteligência Artificial (IA) no ensino de arte e design exige uma reavaliação abrangente dos currículos e abordagens pedagógicas existentes, destacando a necessidade de cultivar a alfabetização em IA entre gestores, educadores e estudantes. A ambiguidade atual em torno da definição de alfabetização em IA ressalta a necessidade de uma estrutura estruturada e revisada, especialmente considerando as diversas interpretações e implementações em contextos educacionais. Este artigo apresenta os resultados de uma pesquisa em andamento sobre alfabetização em IA e sua importância para o ensino de arte e design. Por meio de uma metodologia de pesquisa documental, revisamos estudos que contribuem para a discussão sobre a natureza da alfabetização em IA e suas implicações. Nossos resultados sugerem que a alfabetização em IA vai além da proficiência técnica, abrangendo três habilidades: compreender e interpretar sistemas de IA, lidar com suas implicações éticas e reconhecer seu impacto social e cultural mais amplo no âmbito da arte e do design. Reconhecendo este momento crucial na integração da IA, este artigo propõe uma estrutura que descreve níveis progressivos de desenvolvimento da alfabetização em IA à medida que ela se incorpora ao ensino de arte e design. Cada nível é construído sob a perspectiva de três dimensões-chave: compreensão, ética e impacto social.Downloads
Referências
minutes. (2016, March 28). 60 Minutes/Vanity Fair poll: Artificial Intelligence. https://www.cbsnews.com/news/ 60-minutes-vanity-fair-poll-artificial-intelligence/
AIPRM (2025). AI in Education Statistics. AIPRM. https://www.aiprm.com/en-gb/ai-in-education-statistics/
Atencio-González, R.E., Bonilla-Ron, D.E., Miles-Flores, M. V. & López-Zavala, S.Á. (2023). Chat GPT como Recurso para el aprendizaje del pensamiento crítico en estudiantes universitarios. Cienciamatria. Revista Interdisciplinaria de Humanidades, Educación, Ciencia y Tecnología, 9(17), 36-44. https://doi.org/10.35381/cm.v9i17.1121
Berman, M. (2023). Deep Blue Beats Kasparov in Chess. Ebsco. org. https://www.ebsco.com/research-starters/sports-and-leisure/deep-blue-beats-kasparov-chess
Blackwell, A.F. (2006). Gender in Domestic Programming: From Bricolage to Séances d’Essayage. In CHI’2006 Workshop on End User Software Engineering, 1-4.
Bozkurt, A., Junhong, X., Lambert, S., Pazurek, A., Crompton, H., Koseoglu, S., et al. (2023). Speculative futures on ChatGPT and generative artificial intelligence (AI): A collective reflection from the educational landscape. Asian Journal of Distance Education, 18(1), 53-130.
Bughin, J., & van Zeebroeck, N. (2018, September 18). 3 «ai divides» – and what we can do about them. World Economic Forum. https://www.weforum.org/stories/2018/09/the-promise-and-pitfalls-of-ai/
Burgsteiner, H., Kandlhofer, M., & Steinbauer, G. (2016). Irobot: Teaching the basics of artificial intelligence in high schools. In Proceeding of the AAAI conference on artificial intelligence, 30(1). https://doi.org/10.1609/AAAI. V30I1.9864
Cardon, P., Fleischmann, C., Aritz, J., Logemann, M., & Heidewald, J. (2023). The Challenges and Opportunities of AI-Assisted Writing: Developing AI Literacy for the AI Age. Business and Professional Communication Quarterly, 86(3), 257-295. https://doi.org/10.1177/23294906231 176517
Casal-Otero, L., Catala, A., Fernández-Morante, C., Taboada, M., Cebreiro, B. & Barro, S. (2023). AI literacy in K- 12: a systematic literature review. International Journal of STEM Education, 10(29). https://doi.org/10.1186/s40594-023-00418-7
Casar, J.R. (2023). Inteligencia Artificial Generativa. Anales de la Real Academia de Doctores de España, 8(3), 475-489.
Celaya, R., Lozano, F. & Ramírez, M. (2010). Apropiación tecnológica en profesores que incorporan recursos educativos abiertos en educación media superior. Revista Mexicana de Investigación Educativa, 15(45), 487-513.
Černý, M. (2024). University Students’ Conceptualisation of AI Literacy: Theory and Empirical Evidence. Social Sciences, 13(3), 129. https://doi.org/10.3390/socsci13030129
Chakraverty, S., Sahoo, D.M. & Mahato, N.R. (2019). McCulloch–Pitts Neural Network Model. In: Concepts of Soft Computing. Springer. https://doi.org/10.1007/978-981-13-7430-2_11
Chiu, T. K. (2021). A holistic approach to the design of artificial intelligence (AI) education for K-12 schools. Tech Trends, 65(5), 796-807.
Chng, E., Tan, A.L. & Tan, S.C. (2023). Examining the use of emerging technologies in schools: A review of artificial intelligence and immersive technologies in STEM Education. Journal for STEM Education Research, In Press.
Davis, F. & Granic, A. (2024). The technology acceptance model. 30 years of TAM. Springer.
DEC (2024). How Students Use AI: The Evolving Relationship Between AI and Higher Education. Digital Education Council. https://www.digitaleducationcouncil.com/post/how-students-use-ai-the-evolving-relationship-between-ai-and-higher-education
Delgado, A., Sarraute, M. (2025). Inteligencia artificial, Educación superior y diseño. UNAM.
Druga, S., Vu, S.T., Likhith, E., & Qiu, T. (2019). In Inclusive AI literacy for kids around the world FL2019: Proceedings of FabLearn, 104-111. https://doi.org/10.1145/3311890.3311904
Farizawani, A.G., Puteh, M., Marina, Y., & Rivaie, A. (2020). A review of artificial neural network learning rule based on multiple variant of conjugate gradient approaches. Journal of Physics: Conference Series, 1529(022040). https://doi.org/10.1088/1742-6596/1529/2/022040
Freire, N. (2024, November 17). El modelo inspirado en las neuronas que dio a luz a la IA y se llevó un Nobel. National Geographic España. https://www.nationalgeographic.com.es/ciencia/modelo-que-dio-a-luz-a-ia-y-se-llevo-nobel_23572
Galaviz, J. (2016). La mente en la máquina. Ciencia, 67(1), 42-51. https://www.amc.edu.mx/revistaciencia/index.ph p/vol-67-numero-1/551-la-mente-en-la-maquina
Ganascia, J.-G. (1993). A Inteligência Artificial. Biblioteca Básica da Ciência e Cultura, Instituto Piaget.
García-Peñalvo, F., Llorens-Largo, F., & Vidal, J. (2024). La nueva realidad de la educación ante los avances de la inteligencia artificial generativa. RIED-Revista Iberoamericana de Educación a Distancia, 27(1), 1-27. https://doi.org/10.5944/ried.27.1.37716
Garriga, M., Ruiz-Incertis, R., & Magallón-Rosa, R. (2024). Artificial intelligence, disinformation and media literacy proposals around deepfakes. Observatorio (OBS*), 18(5), 175-194. https://doi.org/10.15847/obsOBS18520242445
Gong, X., Tang, Y., Liu, X., Jing, S., Cui, W., Liang, J., & Wang, F.Y. (2020, October). K-9 Artificial Intelligence Education in Qingdao: Issues, challenges and suggestions. In IEEE international conference on networking, sensing and control (ICNSC) (pp. 1-6). IEEE.
Gubareva, R. & Lopes, R.P. (2020). Virtual Assistants for Learning: A Systematic Literature Review. In H. Chad Lane, S. Zvacek y J. Uhomoibhi (Eds.), Proceedings of the 12th International Conference on Computer Supported Education (CSEDU 2020) (Online, 2020, May 2-4) (pp. 97- 103). ScitePress.
Hanna, M.G., Pantanowitz, L., Jackson, B., Palmer, O., Visweswaran, S., Pantanowitz, J., Deebajah, M., & Rashidi, H.H. (2025). Ethical and Bias Considerations in Artificial Intelligence/Machine Learning. Modern Pathology, 38(3), 100686.
Hagendorff, T. (2020). The Ethics of AI Ethics: An Evaluation of Guidelines. Minds and Machines, 30, 99-120.
Huston, J. (2024). Rethinking Plagiarism in the era Generative AI. Journal of Intelligent Communication, 3(2), 20-30.
Kitsara, I. (2022). Artificial Intelligence and the Digital Divide: From an Innovation Perspective. In Bounfour, A. (Eds.), Platforms and Artificial Intelligence. Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-030-90192-9_12
Kong, S.-C., & Zhang, G. (2021). A Conceptual Framework for Designing Artificial Intelligence Literacy Programmes for Educated Citizens. In Kong, S.C., Wang, Q., Huang, R., Li, Y., & Hsu, T.C. (Eds.), (2021), Conference Proceedings (English Paper) of the25th Global Chinese Conference on Computers in Education (GCCCE 2021). (pp. 11-15). The Education University of Hong Kong.
Kong, S.-C., Cheung, W. M.-Y., & Zhang, G. (2023). Evaluating an Artificial Intelligence Literacy Programme for Developing University Students’ Conceptual Understanding, Literacy, Empowerment and Ethical Awareness. Educational Technology & Society, 26(1), 16-30. https://doi.org/10.30191/ETS.202301_26(1).0002
La Nación (2025, March 7). Imparable: ChatGPT ya tiene 400 millones de usuarios, pero DeepSeek crece más rápido. La Nación. https://www.lanacion.com.ar/tecnologia/imparable-chatgpt-ya-tiene-400-millones-de-usuarios-pero -deepseek-crece-mas-rapido-nid07032025/
Lee, I., Ali, S., Zhang, H., DiPaola, D. & Breazeal. C. (2021). Developing Middle School Students’ AI Literacy. Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE ’21). 191-197. https://doi.org/10.1145/3408877.3432513
Lérias, E., Guerra, C., & Ferreira, P. (2024). Literacy in Artificial Intelligence as a Challenge for Teaching in Higher Education: A Case Study at Portalegre Polytechnic University. Information (2078-2489), 15(4), 205. https://doi-org.dibpxy.uaa.mx/10.3390/info15040205
Long D., & Magerko, B. (2020). What is AI Literacy? Competencies and Design Considerations. CHI ’20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1-16. https://doi.org/10.1145/33138 31.3376727
López Blanco, S. (2025, February 11). Estadísticas esenciales de Inteligencia Artificial para 2025: Quién la usa y para qué. IEBS. https://www.iebschool.com/hub/estadisticas-esenciales-de-inteligencia-artificial-para-2025-quien-la-usa-y-para-que-tecnologia/
Luvezute Kripka, R.M., Scheller, M., & de Lara Bonotto, D. (2015). La investigación documental sobre la investigación cualitativa: conceptos y caracterización. Revista de Investigaciones UNAD, 14(2), 55-73. https://doi.org/10.2 2490/25391887.1455
Marcelino Aranda, M., Martínez Cuevas, M. del C., & Camacho Vera, A.D. (2024). Análisis documental, un proceso de apropiación del conocimiento. Revista Digital Universitaria, 25(6). https://doi.org/10.22201/ceide.16076079e. 2024.25.6.1
Markoff, J. (2011, February 16). Computer Wins on ‘Jeopardy!’: Trivial, It’s Not. The New York Times. https://www.nytimes.com/2011/02/17/science/17jeopardy-watson.html
Marshall Bender, S. (2024). Awareness of Artificial Intelligence as an Essential Digital Literacy: ChatGPT and Gen-AI in the Classroom. Changing English, 31(2), 161-174. https://doi.org/10.1080/1358684X.2024.2309995
McCarthy, J. (1956). A proposal for the Dartmouth summer research Project on artificial intelligence. https://home.dartmouth.edu/about/artificial-intelligence-ai-coined-dartmouth
McCorduck, P. & Feigenbaum, E. (1986). The Fifth Generation: Artificial Intelligence and Japan’s Computer Challenge to the World. Addison Wesley Publishing Company.
McCosker, A. (2024). Making sense of deepfakes: Socializing AI and building data literacy on GitHub and YouTube. New Media & Society, 26(5), 2786-2803. https://doi.org/10.1177/14614448221093943
McCulloch, G. (2004). Documentary research in education, history and the social sciences (1st ed.). Routledge. https://doi.org/10.4324/9780203464588
McGowan, B. (2024). Navigating the journey to GenAI literacy. In Abegglen, S., Nerantzi, C., Martínez-Arboleda, A., Karatsiori, M., Atenas, J., & Rowell, C. (Eds.) (2024). Towards AI Literacy: 101+ creative and critical practices, perspectives and purposes. https://doi.org/10.5281/zeno do.11613520
Milton, B. (2023). Deep Blue Beats Kasparov in Chess. EBSCO. https://www.ebsco.com/research-starters/sports-and-leisure/deep-blue-beats-kasparov-chess
Minsky, M. (1961). Steps toward Artificial Intelligence, in Proceedings of the IRE, 49(1), 8-30. https://doi.org/10.1109/JRPROC.1961.287775
Morales-Chan, M.A. (2023). Explorando el potencial de Chat GPT: Una clasificación de prompts efectivos para la enseñanza. http://biblioteca.galileo.edu/tesario/handle/1234 56789/1348
Mogalakwe, M. (2006). The Use of Documentary Research Methods in Social Research. African Sociological Review / Revue Africaine de Sociologie, 10(1), 221-230. http://www.jstor.org/stable/afrisocirevi.10.1.221
NCREL. (2003), ‘21st Century Skills’, The Metiri Group, www.ncrel.org/engauge. Accessed 05 August 2017.
Ng, D.T.K., Leung, J.K.L., Chu, K.W.S., & Qiao, M.S. (2021a). AI literacy: Definition, teaching, evaluation and ethical issues. Proceedings of the Association for Information Science and Technology, 58(1), 504-509.
Ng, D.T.K., Leung, J.K.L., Chu, S.K.W., & Qiao, M.S. (2021b). Conceptualizing AI literacy: An exploratory review. Computers and Education Artificial Intelligence, 2(100041). https://doi.org/10.1016/j.caeai.2021.100041
Ng, D.T.K., Wu, W., Leung, J.K.L., & Chu, S.K.W. (2023). Artificial Intelligence (AI) Literacy Questionnaire with Confirmatory Factor Analysis. IEEE International Conference on Advanced Learning Technologies, 233-235. https://doi.org/10.1109/ICALT58122.2023.00074
Ng, D.T.K., Xinyu, C., Leung, J.K.L., & Chu, S.K.W. (2024). Fostering students’ AI literacy development through educational games: AI knowledge, affective and cognitive engagement. Journal of Computer Assisted Learning, 40(5), 2049-2064. https://doi.org/10.1111/jcal.13009
Ohsnman, A. (2016, December 13). Google crea ‘Waymo’, su empresa de autos autónomos. Forbes. https://forbes.com. mx/google-crea-waymo-empresa-autos-autonomos/
Olari, V. & Romeike, R. (2021). Addressing AI and data literacy in teacher education: A review of existing educational frameworks. In Proceedings of the 16th Workshop in Primary and Secondary Computing Education (WiPSCE ‘21), Virtual Event, 18-20.
Panay, P. (2025, February 26). Introducing Alexa+, the next generation of Alexa. aboutamazon.com, https://www.aboutamazon.com/news/devices/new-alexa-generative-artificial-intelligence
Pérez, M. & Robador, S. (2023, June 15). El futuro de la educación universitaria con Chat GPT. XVIII Congreso Nacional de Tecnología en Educación y Educación en Tecnología – TE&ET, Hurlingham. https://sedici.unlp.edu.ar/handle/10915/155869
Pinski, M., & Benlian, A. (2024). AI literacy for users – A comprehensive review and future research directions of learning methods, components, and effects. Computers in Human Behavior: Artificial Humans, 2(100062). https://doi.org/10.1016/j.chbah.2024.100062
Relmasira, S.C., Lai, Y.C., & Donaldson, J.P. (2023). Fostering AI Literacy in Elementary Science, Technology, Engineering, Art, and Mathematics (STEAM) Education in the Age of Generative AI. Sustainability, 15(18), 13595. https://doi.org/10.3390/su151813595
Rodríguez Arocho, W.C. (2019). La alfabetización desde una perspectiva crítica: Los aportes de Vygotski, Freire y Martín Baró. Actualidades Investigativas en Educación, 19(1), 25. https://doi.org/10.15517/aie.v19i1.35569
Romero Mireles, L. (2023, October 30). Cerca del 80 por ciento de las personas utiliza IA sin darse cuenta. Gaceta UNAM. https://www.gaceta.unam.mx/cerca-del-80-por-ciento-de-las-personas-utiliza-ia-sin-darse-cuenta/
Sandoval, L.R. (2022). Tecnologías y vida cotidiana: una revisión del modelo de domesticación. Contratexto, 37(037), 287-234. https://doi.org/10.26439/contratexto2022.n037.5351
Sperling, K., Stenberg, C.-J., McGrath, C., Åkerfeldt, A., Heintz, F. & Stenliden, L. (2024). In search of artificial intelligence (AI) literacy in teacher education: A scoping review. Computers and Education: Open, 6(100169).https://doi.org/10.1016/j.caeo.2024.100169
Stolpe, K. & Hallström, J. (2023). Artificial intelligence literacy for technology education. Computers and Education: Open, 5(100159). https://doi.org/10.1016/j.caeo.2024.1 00159
Strobel, G., Möller, F., Banh, L. & Schoormann, T. (2024). Exploring Generative Artificial Intelligence: A Taxonomy and Types. Proceedings of the 57th Hawaii International Conference on System Sciences. https://scholarspace.manoa.hawaii.edu/server/api/core/bitstreams/fa9a6175-9ff2-4ad4-868e-fec5127cd430/content
Su, J., Ng, D.T.K., & Chu, S.K.W. (2023). Artificial intelligence (AI) literacy in Early Childhood education: the challenges and opportunities. Computers and Education: Artificial Intelligence, 4(100124). https://doi.org/10.1016/jcaeai. 2023.100124
Turing, A. (1950) Computing Machinery and Intelligence. Mind. The Mind Association, 59(236), 433-460. https://doi.org/10.1093/mind/LIX.236.43
UNESCO. (2019). Beijing Consensus on Artificial Intelligence and Education. International Conference on Artificial Intelligence and Education, Planning Education in the AI Era: Lead the Leap, Beijing, China. https://bit.ly/3n7wBIK
UNESCO. (2021). Key facts. UNESCO’S Recommendation on the Ethics of Artificial Intelligence. Unesco.org. https://unesdoc.unesco.org/ark:/48223/pf0000385082
UNESCO. (2023). Global AI Ethics and Governance Observartory. Mexico. UNESCO. https://tinyurl.com/unescoaimexico
UNICEF. (2021). Policy guidance on AI for children 2.0. New York, NY, USA: UNICEF. https://www.unicef.org
Vázquez-Ingelmo, A., García-Peñalvo, F.J. & Therón, R. (2021). Towards a Technological Ecosystem to Provide Information Dashboards as a Service: A Dynamic Proposal for Supplying Dashboards Adapted to Specific Scenarios. Applied Sciences, 11(3249). https://doi.org/10.3390/app11 073249
Walter, Y. (2024). Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education. International Journal of Education and Technology in Higher Education, 21(15), 1-29. https://doi.org/10.1186/s412 39-024-00448-3
Weber Shandwick, Inc. (2016). AI-Ready or Not: Artificial Intelligence Here We Come! Weber Shandwick, Inc. https://www.webershandwick.com/news/ai-ready-or-not-artificial-intelligence-here-we-come/
Yi, Y. (2021). Establishing the concept of AI literacy: Focusing on competence and purpose. JAHR-European Journal of Bioethics, 12(2), 353-368. https://doi.org/10.21860/j.12.2.8
Yilmaz, R., Yurdugül, H., Karaoğlan Yilmaz, F.G., Şahin, M., Sulak, S., Aydin, F., Tepgeç, M., Müftüoğlu, C.T. & Ömer, O. (2022). Smart MOOC Integrated with Intelligent Tutoring: A system architecture and framework model proposal. Computers and Education: Artificial Intelligence, 3(100092). https://doi.org/10.1016/j.caeai.2022.100092
Zhang, L., Basham, J.D. & Yang, S. (2020). Understanding the implementation of personalized learning: A research synthesis. Educational Research Review, 31(100339). https://doi.org/10.1016/j.edurev.2020.100339
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