Propósitos da educação perante os desenvolvimentos de inteligência artificial
Palavras-chave:
Educação, Inteligência Artificial, Processo de Ensino-Aprendizagem , HumanismoResumo
A inteligência artificial reconfigura entornos sociais, práticas educacionais e vidas humanas, e seus desenvolvimentos mobilizam vozes defensoras e detratoras. O objetivo é interpretar possibilidades, riscos e oportunidades da inteligência artificial para os propósitos da educação, mediante uma hermenêutica analógica que estabeleça um equilíbrio entre dois extremos interpretativos: univocidade e equivocidade. Os resultados indicam impactos da inteligência artificial na visão humanista, a autonomia, a equidade, a formação integral e o próprio direito à educação. Uma compreensão equilibrada mitiga riscos e aproveita possibilidades desses desenvolvimentos para os propósitos educacionais, com a visão de que ainda estão em processamento e demandam novas indagações.
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Adams, S., Brown, M., Dahlstrom, E., Davis, A., Depaul, K., Diaz, V., & Pomerantz, J. (2018). NMC Horizon Report: 2018 Higher Education Edition. EDUCAUSE.
Alexander, B., Ashford-Rowe, K., Barajas-Murph, N., Dobbin, G., Knott, J., Mccormack, M., Pomerantz, J., Seilhamer, R., & Weber, N. (2019). EDUCAUSE Horizon Report 2019 Higher Education Edition. EDUCAUSE.
Aoun, J. (2017). Robot-Proof. Higher Education in the Age of Artificial Intelligence. MIT Press.
Baker, R. (2019). Stupid tutoring systems, intelligent humans. International Journal of Artificial Intelligence in Education, 26, 600-614.
Baker, T., & Smith, L. (2019). Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges. Nesta.
Barr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12: What is involved and what is the role of the computer science education community? ACM Inroads, 2(1), 48-54.
Barrios-Tao, H., Díaz, V., & Guerra, Y. (2019). Artificial intelligence and education, challenges and disadvantages for the teacher. ARCTIC Journal, 72(12), 30-50.
Barrios-Tao, H., Díaz, V., & Guerra, Y. (2020). Subjetividades e inteligencia artificial: Desafíos para ‘lo humano’. Veritas, 47(4), 81-107.
Bayne, S. (2015). Teacherbot: Interventions in automated teaching. Teaching in Higher Education, 20(4), 455-467.
Beer, D. (2016). Metric power. Palgrave Macmillan.
Benítez, R., Escudero, G., & Kanaan, S. (2014). Inteligencia artificial avanzada. Universidad de Cataluña: UOC.
Beuchot, M. (2008). Breve exposición de la hermenéutica analógica. Revista Teología, 45(97), 491-502.
Beuchot, M. (2016). Hechos e interpretaciones. Hacia una hermenéutica analógica. FCE.
Brunner, J., Labraña, J., Ganga, F., & Rodríguez, E. (2019). Idea moderna de Universidad: De la torre de marfil al capitalismo académico. Educación XX1, 22(2), 119-140.
Campos, L. F., & Lastória, L. (2020). Semiformação e inteligência artificial no ensino. Pro-Posições, 31, e20180105.
Cheney, J. (2017). We are data: Algorithms and the making of our digital selves. University Press.
Colmenarejo, R. (2018). Ética aplicada a la gestión de datos masivos. Anales de la Cátedra Francisco Suárez, 52, 113-129.
Comisión Europea. (2018). Comunicación de la Comisión al Parlamento Europeo, al Consejo Europeo, al Consejo, al Comité Económico y Social Europeo y l Comité de las Regiones – Inteligencia artificial para Europa [COM(2018) 237]. https://ec.europa.eu/transparency/regdoc/rep/1/2018/ES/COM-2018-237-F1-ES-MAIN-PART-1.PDF
Cortina, A. (2013). El futuro de las humanidades. Revista Chilena de Literatura, 84, 207-217.
Cotino, L. (2017). Big data e inteligencia artificial: Una aproximación a su tratamiento jurídico desde los derechos fundamentales. Dilemata, 24, 131-150.
Craig, E., & Georgieva, M. (2018). VR and AR: The ethical challenges ahead. EDUCAUSE Review. https://er.educause.edu/blogs/2018/4/vr-and-ar-the-ethical-challenges-ahead
De la Calle, M., & Muñoz, M. (2018). Hikikomori: El síndrome de aislamiento social y juvenil. Revista de la Asociación Española de Neuropsiquiatría, 38(133), 115-129.
Declaración de los Derechos Humanos. https://www.un.org/es/universal-declaration-human-rights/
Delors, J. (Ed.). (1996). La educación encierra un tesoro. Santillana.
Espinosa, L. (2018). La mano y el algoritmo: Una antropología compleja ante los desafíos tecnológicos del presente. Araucaria, 40, 109-136.
Feldman, Z., & Sandoval, M. (2018). Metric power and the academic self: Neoliberalism, knowledge and resistance in the British university. TripleC, 16(1), 214-233.
Floridi, L. (2018). Soft ethics and the governance of the digital. Philosophy & Technology, 31(4), 1-8.
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, Ch., Madelin, R., Pagallo, U., Rossi, F.,
Schafer, B., Valcke, P., & Vayena, E. (2018). AI4People – An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28, 689-707.
Freire, J. (2017). El futuro de la educación: Aprender lo que no pueden hacer las máquinas. https://www.eldiario.es/sociedad/Educacion-Aprender-puedan-hacer-maquinas_0_723378320.html
García, J. (2017). ¿Cómo mejorar al ser humano? Un análisis de las tecnologías convergentes desde la antropología pedagógica. Pedagogia e Vita, 75, 94-105.
García, J., López, A., & González, S. (2018). Automatic argument assessment of final project reports of computer engineering students. Computer Applications in Engineering Education, 26(5), 1217-1226.
Han, B.-Ch. (2014). Psicopolítica. Herder.
Hil, R. (2016). What an algorithm is? Philosophy & Technology, 29(1), 35-59.
Hoffait, A., & Schyns, M. (2017). Early detection of university students with potential difficulties. Decision Support Systems, 101, 1-11.
Howard, C., Jordan, P., Di Eugenio, B., & Katz, S. (2017). Shifting the load: A peer dialogue agent that encourages its human collaborator to contribute more to problem solving. International Journal of Artificial Intelligence in Education, 27(1), 101-129.
Huang, J., & Chen, Z. (2016). The research and design of web-based intelligent tutoring system. International Journal of Multimedia and Ubiquitous Engineering, 11(6), 337-348.
Huang, Sh. (2018). Effects of using artificial intelligence teaching system for environmental education on environmental knowledge and attitude. Eurasia Journal of Mathematics, Science and Technology Education, 14(7), 3277-3284.
Hussain, M., Zhu, W., Zhang, W., & Abidi, S. (2018). Student engagement predictions in an e-Learning system and their impact on student course assessment scores. Computational Intelligence and Neuroscience. https://doi.org/10.1155/2018/6347186
Ihde, D., & Malafouris, L. (2019). Homo faber revisited: Postphenomenology and material engagement theory. Philosophy & Technology, 32(2), 195-214.
Imani, M., & Montazer, G. (2019). A survey of emotion recognition methods with emphasis on E-Learning environments. Journal of Network and Computer Applications, 147, 102423.
Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62, 15-25.
Keating, J., & Nourbakhsh, I. (2018). Teaching artificial intelligence and humanity. Communications of the ACM, 61(2), 29-32.
Lanier, J. (2018). Diez razones para borrar tus redes sociales de inmediato. Debate.
Lerman, J. (2013). Big Data and Its Exclusions. Stanford Law Review, 66. https://www.stanfordlawreview.org/online/privacy-and-big-data-big-data-and-its-exclusions/
Lobo, L. C. (2018). Inteligência artificial, o futuro da medicina e a educação médica. Revista Brasileira de Educação Médica, 42(3), 3-8.
Lodhi, P., Mishra, O., Jain, S., & Bajaj, V. (2018). StuA: An intelligent student assistant. International Journal of Interactive Multimedia and Artificial Intelligence, 5(2), 17-25.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. (2016). Intelligence Unleashed. An argument for AI in Education. Pearson.
Lupton, D. (2016). The diverse domains of quantified selves: Self-tracking modes and dataveillance. Economy and Society, 45(1), 101-122.
Lupton, D., Mewburn, I., & Thomson, P. (2018). The digital academic: Critical perspectives on digital technologies in higher education. Routledge.
Lynch, M. (2018). 7 Roles for Artificial Intelligence in Education. https://www.thetechedvocate.org/7-roles-for-artificial-intelligence-in-education/
Marín, J. (2018). La resemantización TIC de la cultura humanista. Index.Comunicación, 8(1), 179-195.
Martorell, F., & Alonso, A. (2019). Asistidos por el soberano electrónico: Utopías y distopías de la inteligência artificial. Dilemata, 30, 111-127.
Menéndez, A. (2018). Horizontes tecnológicos. Telos, 109, 10-15.
Monasterio, A. (2017). Ética algorítmica: Implicaciones éticas de una sociedad cada vez más gobernada por algoritmos. Dilemata, 24, 185-217.
Montréal Declaration for a Responsible Development of Artificial Intelligence. (2018). https://recherche.umontreal.ca/english/strategic-initiatives/montreal-declaration-for-a-responsible-ai/
Moore, Ph., & Robinson, A. (2016). The quantified self: What counts in the neoliberal workplace. New Media & Society, 18(11), 1-19.
Munnerley, D., Bacon, M., Fitzgerald, R., Wilson, A., Hedberg, J., Steele, J., & Standley, A. (2014). Augmented Reality: Application in higher education. Australian Government. Office for Learning & Teaching.
Navas, S. (2016). Smart robots y otras máquinas inteligentes en nuestra vida cotidiana. Revista CESCO de Derecho de Consumo, 20, 82-109.
Nguyen, J., Sánchez, G., Armisen, A., Agell, N., Rovira, X., & Angulo, C. (2018). A linguistic multi-criteria decision-aiding system to support university career services. Applied Soft Computing Journal, 67, 933-940.
Nussbaum, M. (2010). Sin fines de lucro, por qué la democracia necesita de las humanidades. Katz.
Nye, B. (2015). Intelligent tutoring systems by and for the developing world. International Journal of Artificial Intelligence in Education, 25(2), 177-203.
Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura. (2015). Replantear la educación: Hacia un bien común mundial. https://unesdoc.unesco.org/ark:/48223/pf0000232697
Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura. (2019a). Principios para la inteligencia artificial. ¿Hacia un enfoque humanista? https://es.unesco.org/news/unesco-celebra-primera-conferencia-mundial-promover-inteligencia-artificial-humanista
Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura. (2019b). Seis retos para aplicar la inteligencia artificial en educación. https://profuturo.education/profuturo-y-la-unesco-presentan-los-seis-retos-para-aplicar-la-inteligencia-artificial-en-la-educacion/
Pedró, F. (Dir.) (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. Unesco. https://unesdoc.unesco.org/ark:/48223/pf0000366994
Perez, J. A., Deligianni, F., Ravi, D., & Yang, G. (2017). Artificial Intelligence and Robotics. EPSRC UK-RAS Network. doi: 10.31256/WP2017.1. https://www.ukras.org/publications/white-papers/artificial-intelligence-robotics/
Perin, D., & Lauterbach, M. (2018). Assessing text-based writing of low-skilled college students. International Journal of Artificial Intelligence in Education, 28(1), 56-78.
Popenici, S., & Kerr, Sh. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning. https://doi.org/10.1186/s41039-017-0062-8
Postigo, E. (2018). La obsolescencia del ser humano. El advenimiento del hombre nuevo. Telos, 109, 51-59.
Prinsloo, P. (2017). Fleeing from Frankenstein’s monster and meeting Kafka on the way: Algorithmic decision-making in higher education. E-Learning and Digital Media, 14(3), 138-163.
Raju, D., & Schumacker, R. (2015). Exploring student characteristics of retention that lead to graduation in higher education using data mining models. Journal of College Student Retention: Research, Theory and Practice, 16(4), 563-591.
Rivera, J., & Sánchez, D. (2018). Inteligencia artificial ¿Reemplazando al humano en la psicoterapia? Escritos, 24(53), 271-291.
Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26(2), 582-599.
Rovira, S., Puertas, E., & Igual, L. (2017). Data-driven system to predict academic grades and dropout. PLoS One, 12(2), 1-21.
Russell, S. (2017). Inteligencia artificial de beneficios probados. In AAVV. El próximo paso. La vida exponencial (pp. 175-192). OpenMind.
Sánchez, A. (2017). El fenómeno hikikomori: Tradición, educación y tecnologías de la información y la comunicación (TIC). Arbor, 193(785), 405.
Sánchez, L., Santos, A., Álvarez, E., Huerta, M., Camacho, S., & Fernández, E. (2016). Development of an expert system for the evaluation of students’ curricula on the basis of competencies. Future Internet, 8(2). https://doi.org/10.3390/fi8020022
Saura, G., & Bolívar, A. (2019). Sujeto académico neoliberal: Cuantificado, digitalizado y bibliometrificado. Revista Iberoamericana sobre Calidad, Eficacia y Cambio en Educación – REICE, 17(4), 9-26.
Sebastian, J., & Richards, D. (2017). Changing stigmatizing attitudes to mental health via education and contact with embodied conversational agents. Computers in Human Behavior, 73, 479-488.
Sichman, J. (2021). Inteligência Artificial e sociedade: avanços e riscos. Estudos Avançados, 35(101), 37-50.
Sreenivasa, K., Swapna, N., & Praveen, P. (2018). Educational data mining for student placement prediction using machine learning algorithms. International Journal of Engineering and Technology, 7(1.2), 43-46.
Stewart, U. (2018). El potencial de la IA para reducir la brecha digital y crear una sociedad inclusiva. ITU News, 1, 19-23.
Stone, P. (Dir.) (2016). Artificial Intelligence and Life in 2030. One Hundred Year Study on Artificial Intelligence. Stanford University. https://ai100.stanford.edu/sites/g/files/sbiybj18871/files/media/file/ai100report10032016fnl_singles.pdf
Telefónica. (2018). Manifiesto por un nuevo pacto digital. Una digitalización centrada en las personas. https://www.telefonica.com/es/wpcontent/uploads/sites/4/2021/06/manifiesto_por_un_nuevo_pacto_digital.pdf
The Royal Society. (2012). Shut down or restart? The way forward for computing in UK schools. The Royal Society.
Toboso, M. & Aparicio, M. (2019). Entornos de funcionamientos robotizados. ¿Es posible una robótica inclusiva? Dilemata, 11(30), 171-185.
Torcal, L. (2018). Integración versus superación. El corazón del problema tecnoético. Telos, 109, 60-69.
Umer, R., Susnjak, T., Mathrani, A., & Suriadi, S. (2017). On predicting academic performance with process mining in learning analytics. Journal of Research in Innovative Teaching, 10(2), 160-176.
Venancio, S. J., Jr. (2019). Arte e inteligências artificiais: Implicações para a criatividade. Revista ARS, 17(35), 183-201.
Vicari, R. M. (2021). Influências das Tecnologias da Inteligência Artificial no ensino. Estudos Avançados, 35(101), 73-84.
Walsh, K., Hoque, M. & Williams, K. (2017). Human machine learning symbiosis. Journal of Learning in Higher Education, 13(1), 55-62.
Wei, P., & Zhao, Y. (2019). A novel speech emotion recognition algorithm based on wavelet kernel sparse classifier in stacked deep auto-encoder model. Personal and Ubiquitous Computing, 23, 521-529.
World Economic Forum. (2019). Top 10 Emerging Technologies. http://www3.weforum.org/docs/WEF_Top_10_Emerging_Technologies_2019_Report.pdf
Yadav, A., Good, J., Voogt, J., & Fisser, P. (2016). Computational Thinking as an Emerging Competence Domain. In M. Mulder (Ed.), Competence-Based Vocational and Professional Education: Bridging the Worlds of Work and Education (pp. 1051-1067). Springer International Publishing AG.
Zafra, J. (2018). Tenemos que cambiar el modelo: Toda la economía se basa en manipular personas. Entrevista a Jaron Lanier. Telos, 109, 26-34.
Zawacki, O., Marín, V., 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
Zovko, M., & Dillon, J. (2018). Humanism vs. competency: Traditional and contemporary models of education. Educational Philosophy and Theory, 50(6), 554-564.
Zurutuza, N. (2018). Pobreza de información e igualdad algorítmica: Poner los avances de la IA al alcance de las poblaciones más vulnerables. ITU News, 1, 26-28.
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