Palavras chave

Inteligência artificial, big data, educação, metodologias mistas, multimodalidade, tecnologia digital, sociedade de plataforma, conexão digital

Resumo

A tecnologia digital tem trazido características de conexão que restabelecem nossa compreensão de arquiteturas sociais. Sobre Inteligência Artificial (IA) e Big Data, o campo educativo reorganizou sua estrutura para considerar seus atores humanos e não-humanos e suas ações nas plataformas digitais. Neste cenário cada vez mais complexo, esta proposta tem como objetivo apresentar definições e debates sobre IA e Big Data de natureza acadêmica ou publicados por organizações internacionais. O estudo de IA e Big Data pode ir além da busca de poder computacional/lógico e entrar em áreas menos difíceis (e talvez mais complexas) do campo científico para responder aos seus impactos sociais na educação. Esta pesquisa sugere uma análise da educação através das habilidades do século XXI e dos impactos do desenvolvimento de IA na era das plataformas, passando por três eixos de grupos metodológicos: pesquisa, aplicação e avaliação. Para realizar a pesquisa, confiamos em revisões sistemáticas, pesquisas bibliográficas e análise de qualidade de estudos de casos para compor um documento de forma que lance luz sobre como funciona a IA e a Big Data e em que nível podem ser aplicadas no campo da educação. Nosso objetivo é oferecer uma análise triangular sob um enfoque multimodal para compreender melhor a interface entre a educação e as novas perspectivas tecnológicas.

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Referências

Bakhshi, H., Downing, J., Osborne, M., & Schneider, P. (2017). The future of skills: Employment in 2030. Pearson. https://bit.ly/3fL9vz9

Link Google Scholar

Barrett, A.R., & Edwards, J. (1995). Knowledge elicitation and knowledge representation in a large domain with multiple experts. Expert Systems with Applications, 8(1), 169-176. https://doi.org/10.1016/0957-4174(94)E0007-H

Link DOI | Link Google Scholar

Bosch, N., Chen, H., D'Mello, S., Baker, R., & Shute, V. (2015). Accuracy vs. availability heuristic in multimodal affect detection in the wild. In Proceedings of the 2015 ACM on International Conference on Multimodal Interaction (pp. 267-274). https://doi.org/10.1145/2818346.2820739

Link DOI | Link Google Scholar

Clark, F. (1976). Characteristics of the competency-based curriculum. Competency-based education for social work: Evaluation and curriculum issues. https://bit.ly/3csgvPm

Link Google Scholar

Cloud Security Alliance (Ed.) (2014). Big data taxonomy. Cloud Security Alliance. https://bit.ly/2YZfXg1

Link Google Scholar

Cobb, P., Confrey, J., DiSessa, A., Lehrer, R., & Schauble, L. (2003). Design experiments in educational research. Educational Researcher, 32(1), 9-13. https://doi.org/10.3102/0013189X032001009

Link DOI | Link Google Scholar

Cukurova, M., Luckin, R., & Kent, C. (2019). Impact of an artificial intelligence research frame on the perceived credibility of educational research evidence. International Journal of Artificial Intelligence in Education, 1-31. https://doi.org/10.1007/s40593-019-00188-w

Link DOI | Link Google Scholar

European Union Comission (Ed.) (2012). General data protection regulation (GDPR - COD - 2012/0011 -

Link Google Scholar

Fadel, C., & Groff, J. (2019). Four-dimensional education for sustainable societies. In Sustainability, human well-being, and the future of education (pp. 269-281). Palgrave Macmillan. https://doi.org/10.1007/978-3-319-78580-6_8

Link DOI | Link Google Scholar

Fava, R. (2018). Trabalho, educação e inteligência artificial: a era do indivíduo versátil. Penso.

Link Google Scholar

Floridi, L. (2014). The fourth revolution: How the infosphere is reshaping human reality. OUP Oxford. https://doi.org/10.5860/choice.187284

Link DOI | Link Google Scholar

Gervais, J. (2016). The operational definition of competency?based education. The Journal of Competency?Based Education, 1(2), 98-106. https://doi.org/10.1002/cbe2.1011

Link DOI | Link Google Scholar

Habermas, J. (1985). The theory of communication action. Heinemen Educ.

Link Google Scholar

Hine, C. (1994). The virtual objects of ethnography. In 3th International Conference on Public Communication of Science and Technology (PCST), Montreal, Canada (pp. 10-13). https://bit.ly/2WPpYK0

Link Google Scholar

International Telecommunication Union (Ed.) (2017). AI for good global summit report. https://bit.ly/3cxf3LQ

Link Google Scholar

International Telecommunication Union (Ed.) (2017). Artificial Intelligence for development series.

Link Google Scholar

International Telecommunication Union (Ed.) (2018). AI for good summit webcast archives. https://bit.ly/3fE8x7M

Link Google Scholar

International Telecommunication Union (Ed.) (2018). Innovative Big Data approaches for capturing and analyzing data to monitor and achieve the SDGS. https://bit.ly/2zx5Sw8

Link Google Scholar

Kelly, K. (2010). What technology wants. Penguin Editorial Publishing.

Link Google Scholar

Kent, C., & Luckin, R. (2019). Artificial intelligence and multimodal data in the service of human decision?making: A case study in debate tutoring. British Journal of Educational Technology, 50(6), 3032-3046. https://doi.org/10.1111/bjet.12829

Link DOI | Link Google Scholar

Kozinets, R.V. (2015). Netnography: Understanding networked communication society. Sage. https://doi.org/10.1002/9781118767771.wbiedcs067

Link DOI | Link Google Scholar

Kozinets, R.V., Pierre-Yann D., & Amanda E. (2014). Netnographic analysis: Understanding culture through social media data. In U. Flick (Ed.), Sage handbook of qualitative data analysis (pp. 262-275). Sage. https://doi.org/10.4135/9781446282243.n18

Link DOI | Link Google Scholar

Legg, S., & Hutter, M. (2018). Universal intelligence: A definition of machine intelligence. Mind Mach 17(4), 391-444. https://doi.org/10.1007/s11023-007-9079-x

Link DOI | Link Google Scholar

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L.B. (2016). Intelligence unleashed: An argument for AI in education. https://bit.ly/2TjdXf0

Link Google Scholar

Malinowski, B. (1922). Argonauts of the Pacific. New York, Holt, Reinhart and Winston. https://bit.ly/2zBmJxI

Link Google Scholar

Mantelero, A. (2018). AI and Big Data: A blueprint for a human rights, social and ethical impact assessment. Computer Law & Security Review, 34(4), 754-772. https://doi.org/10.1016/j.clsr.2018.05.017

Link DOI | Link Google Scholar

Mead, M. (1979). Adolescencia y cultura en Samoa. Paidós.

Link Google Scholar

Mick, D., & Fournier, S. (1998). Paradoxes of technology: Consumer cognizance, emotions, and coping strategies. Journal of Consumer Research, 25(2), 123-143. https://doi.org/10.1086/209531

Link DOI | Link Google Scholar

Morin, E. (2015). Introdução ao pensamento complexo. Editora Sulina. https://bit.ly/3bGzR2c

Link Google Scholar

Nigay, L., & Coutaz, J. (1993). A design space for multimodal systems: Concurrent processing and data fusion. In Proceedings of the INTERACT'93 and CHI'93 conference on Human factors in computing systems (pp. 172-178). https://doi.org/10.1145/169059.169143

Link DOI | Link Google Scholar

Nigay, L., & Coutaz, J. (1993). A design space for multimodal systems: Concurrent processing and data fusion. In Proceedings of the INTERACT'93 and CHI'93 conference on Human factors in computing systems (pp. 172-178). https://doi.org/10.1145/169059.169143

Link DOI | Link Google Scholar

Organisation for Economic Co-operation and Development (Ed.) (2018). AI: Intelligent machines, smart policies. https://bit.ly/2LqNAQ4

Link Google Scholar

Organisation for Economic Co-operation and Development (Ed.) (2020). Better Policies for lives – Learning Compass. https://bit.ly/3fUW93A

Link Google Scholar

Riesman, D. (1979). Society's demands for competence. In G. Grant, P. Elbow, T. Ewens, Z. Gamson, W. Kohli, W. Neumann, V. Olesen, & D. Riesman (Eds.), On competence: A critical analysis of competence?based reforms in higher education (pp. 18–65). Jossey?Bass Inc. https://bit.ly/3dWFbQn

Link Google Scholar

Russell, S., & Norvig, P. (1995). Artificial intelligence: A modern approach prentice-hall. Englewood cliffs.

Link Google Scholar

Rychen, D.S., & Salganik, L.H. (2003). Key competencies for a successful life and well-functioning society. Hogrefe Publishing. https://go.aws/2LDWhGP

Link Google Scholar

Scoular, C., Care, E., & Hesse, F.W. (2017). Designs for operationalizing collaborative problem solving for automated assessment. Journal of Educational Measurement, 54(1), 12–35. https://doi.org/10.1111/jedm.12130

Link DOI | Link Google Scholar

Søe, S.O. (2018). Algorithmic detection of misinformation and disinformation: Gricean perspectives. Journal of Documentation, 74(2), 309-332. https://doi.org/10.1108/JD-05-2017-0075

Link DOI | Link Google Scholar

Turing, A.M. (2009). Computing machinery and intelligence. In R. Epstein, G. Roberts, & G. Beber (Eds.), Parsing the turing test. Springer. https://doi.org/10.1007/978-1-4020-6710-5_3

Link DOI | Link Google Scholar

United Nations (Ed.) (2017). Innovative Big Data approaches for capturing and analysing data to monitor and achieve the SDGs. https://bit.ly/2Zhcfi0

Link Google Scholar

Van-Dijck, J., Poell, T., & De-Waal, M. (2018). The platform society: Public values in a connective world. Oxford University Press. https://doi.org/10.1093/oso/9780190889760.001.0001

Link DOI | Link Google Scholar

Wilson, W. (1999). Consilience: The unity of knowledge. Vintage. https://bit.ly/2Xd30ww

Link Google Scholar

Zabala, A., & Arnau, L. (2015). Cómo aprender y enseñar competencias: 11 ideas clave. Graó. https://bit.ly/2WWyWoK

Link Google Scholar

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Technical information

Recebido: 27-02-2020

Revisado: 19-03-2020

Aceite: 27-04-2020

OnlineFirst: 15-06-2020

Data de publicação: 01-10-2020

Tempo de revisão do artigo: 21 dias | Tempo médio de revisão do número 65: 36 dias

Tempo de aceitação do artigo: 60 dias | Tempo médio de aceitação do número 65: 79 dias

Tempo de edição da pré-impressão: 172 dias | Tempo médio de edição pré-impressão do número 65: 191 dias

Tempo de processamento do artigo: 217 dias | Tempo médio de processamento do número 65: 236 dias

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Castillo-Zúñiga, I., Luna-Rosas, F.-J., López-Veyna, J.-I.. Detection of traits in students with suicidal tendencies on Internet applying Web Mining), Comunicar, .

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Citas em Google Scholar

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...

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Tarazona, C. N. (2021). Tensiones respecto a la brecha digital en la educación peruana. Revista peruana de investigación e innovación educativa, 1(2), e21039-e21039.

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Донина, И. А., Воднева, С. Н., & Михайлова, М. Н. (2021). Искусственный интеллект в современном образовании: возможности и угрозы. Психолого-педагогический поиск, (1), 17-29.

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Sáiz Manzanares, M. C., Casanova, J. R., Lencastre, J. A., & Almeida, L. S. (2022). Satisfacción de los estudiantes con la docencia online en tiempos de COVID-19. Comunicar: Revista científica iberoamericana de comunicación y educación.

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Донина, И. А. (2021). Искусственный интеллект в современном образовании: помощник или конкурент педагога. In Наука и технологии XXI века: тренды и перспективы (pp. 130-135).

...

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https://dadun.unav.edu/handle/10171/59552

Alé-Ruiz, R., & del Moral Marcos, M. T. (2021). Aprendizaje activo y competencias socioemocionales en entornos digitales de educación superior. Revista de Ciències de l'Educació, 30-49.

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Lamas, Ó. L. (2020). Prólogo: Fraseología en la traducción e interpretación en el siglo XXI. CLINA Revista Interdisciplinaria de Traducción Interpretación y Comunicación Intercultural, 6(2), 9-14.

https://dialnet.unirioja.es/servlet/articulo?codigo=8357264

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Bonami, B., Piazentini, L., & Dala-Possa, A. (2020). Education, Big Data and Artificial Intelligence: Mixed methods in digital platforms. [Educación, Big Data e Inteligencia Artificial: Metodologías mixtas en plataformas digitales]. Comunicar, 65, 43-52. https://doi.org/10.3916/C65-2020-04

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