O IMPACTO DAS TECNOLOGIAS DIGITAIS NAS PRÁTICAS REGULATÓRIAS DAS UNIVERSIDADES
Resumo
Objetivo: O artigo explora o impacto das tecnologias digitais nas práticas regulatórias das universidades, focando em como a transformação digital afeta os aspectos gerenciais e operacionais das instituições de ensino superior. O objetivo é analisar os desafios e oportunidades associados à integração de ferramentas digitais na regulamentação das universidades.
Metodologia: Foi adotada uma abordagem qualitativo-quantitativa, composta por uma revisão de literatura e uma pesquisa com especialistas realizada via e-mail. Especialistas na área de regulação do ensino superior foram entrevistados para compartilhar suas opiniões sobre os desafios enfrentados pelas universidades durante o processo de transformação digital. As respostas foram processadas usando o coeficiente de concordância de Kendall para avaliar a consistência das opiniões.
Originalidade: O estudo é único por focar nos problemas operacionais específicos que as universidades enfrentam ao reportar aos reguladores de ensino superior em meio à crescente influência das tecnologias digitais. Além disso, oferece uma perspectiva sobre como ferramentas digitais, como o Sistema Integrado de Informação para Educação Superior e Ciência (IISHES) e o Sistema Unificado de Antiplágio (UAPS), podem remodelar as práticas regulatórias no setor educacional.
Resultados: Os resultados revelam diversos desafios importantes, incluindo a natureza intensiva do trabalho de relatórios digitais, a necessidade de competências digitais mais robustas entre o corpo docente e administrativo das universidades, além do ônus financeiro para implementar e manter sistemas de TI. O estudo também destaca o potencial das ferramentas digitais para agilizar processos, reduzir a intervenção humana no processamento de dados e melhorar a precisão dos relatórios.
Conclusão: O artigo conclui que a transformação digital bem-sucedida das práticas regulatórias das universidades exigirá uma abordagem equilibrada, considerando tanto os benefícios quanto os potenciais riscos da crescente digitalização. Embora as ferramentas digitais ofereçam inúmeras vantagens, como maior eficiência e melhor gerenciamento de dados, também introduzem desafios relacionados à segurança da informação, custos financeiros e prontidão organizacional.
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Abad-Segura, E., González-Zamar, M.-D., Infante-Moro, J. C., & García, G. R. (2020). Sustainable management of digital transformation in higher education: Global research trends. Sustainability, 12(5), 2107. http://dx.doi.org/10.3390/su12052107
Akhmetshin, E., Makushkin, S., Abdullayev, I., Yumashev, A., Kozachek, A., Shichiyakh, R., & Shakhov, D. (2024). Opportunities to increase the efficiency of universities' research and innovation activities: Scientometric evaluation of researchers' work under external information constraints. Qubahan Academic Journal, 4(1), 240-249. http://dx.doi.org/10.48161/qaj.v4n1a258
Akhmetshin, E. M., Vasilev, V. L., Kozachek, A. V., Meshkova, G. V., & Alexandrova, T. N. (2021a). Analysis of peculiarities of using digital technologies in the university professional training content. International Journal of Emerging Technologies in Learning, 16(20), 101-118. https://doi.org/10.3991/ijet.v16i20.24245
Akhmetshin, E. M., Vasilev, V. L., Kozachek, A. V., Meshkova, G. V., & Mikhailova, M. V. (2021b). Development of digital university model in modern conditions: Institutional approach. Digital Education Review, 40, 17-32. https://doi.org/10.1344/der.2021.40.17-32
Almaraz-Menendez, F., Maz-Machado, A., & Lopez-Esteban, C. (2016). University strategy and digital transformation in higher education institutions. A documentary analysis. International Journal of Advanced Research, 4(10), 2284-2296. http://dx.doi.org/10.21474/IJAR01/2337
Banica, L., Paun, V., & Stefan, C. (2014). Big Data leverages Cloud Computing opportunities. International Journal of Computers & Technology, 13(12), 5253-5263.
Beall, J. (2016). Universities and their importance to nations and cities. In M. Stiasny, & T. Gore (Eds.), Going global: Connecting cultures, forging futures (vol. 5, pp. 219-231). London: Institute of Education Press.
Bodina, E. A., & Telysheva, N. N (2023). Actual problems of higher education in the modern world. Anthropological Didactics and Upbringing, 6(6), 28-35.
Boer, H. D., & Enders, J. (2017). Working in the shadow of hierarchy: Organisational autonomy and venues of external influence on European universities. In I. Bleiklie, J. Enders, & B. Lepori (Eds.), Managing universities: Policy and organizational change from a Western European comparative perspective (pp. 57-83). Cham: Palgrave Macmillan. http://dx.doi.org/10.1007/978-3-319-53865-5_3
Bouyer, A., & Arasteh, B. (2014). The necessity of using cloud computing in educational system. Procedia – Social and Behavioral Sciences, 143, 581-585. http://dx.doi.org/10.1016/j.sbspro.2014.07.440
Bronstein, J., & Reihlen, M. (2014). Entrepreneurial university archetypes: A meta-synthesis of case study literature. Industry & Higher Education, 28(4), 245-262. http://dx.doi.org/10.5367/ihe.2014.0210
Bulla, C., Hunshal, B., & Mehta, S. (2016). Adoption of cloud computing in education system: A survey. International Journal of Engineering Science and Computing, 6(6), 63-75.
Camargo Fiorini, P., Seles, B. M. R. P., Jabbour, C. J. C., Mariano, E. B., & Sousa Jabbour, A. B. L. (2018). Management theory and big data literature: From a review to a research agenda. International Journal of Information Management, 43, 112-129. http://dx.doi.org/10.1016/j.ijinfomgt.2018.07.005
Camilleri, M. A. (2021). Using the balanced scorecard as a performance management tool in higher education. Management in Education, 35(1), 10-21. http://dx.doi.org/10.1177/0892020620921412
Chae, B. K. (2019). A general framework for studying the evolution of the digital innovation ecosystem: The case of big data. International Journal of Information Management, 45, 83-94. http://dx.doi.org/10.1016/j.ijinfomgt.2018.10.023
Cunha, J. M., & Miller, T. (2014). Measuring value-added in higher education: Possibilities and limitations in the use of administrative data. Economics of Education Review, 42, 64-77. http://dx.doi.org/10.1016/j.econedurev.2014.06.001
Gallese Nobile, C. (2023). Regulating smart robots and artificial intelligence in the European Union. Journal of Digital Technologies and Law, 1(1), 33-61. https://doi.org/10.21202/jdtl.2023.2
Kaplan, A. M., & Haenlein, M. (2016). Higher education and the digital revolution: About MOOCs, SPOCs, social media, and the Cookie Monster. Business Horizons, 59(4), 441-450. http://dx.doi.org/10.1016/j.bushor.2016.03.008
Kurelović, E. K., Rako, S., & Tomljanović, J. (2013). Cloud computing in education and student's needs. In 36th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), May 20-24, 2013, Opatija, Croatia (pp. 726-731). IEEE.
Li, Y., & Zhai, X. (2018). Review and prospect of modern education using big data. Procedia Computer Science, 129(3), 341-347. https://doi.org/10.1016/j.procs.2018.03.085
Lodge, M. (2018). Regulating higher education: National audit explosions in international markets. In B. Cantwell, H. Coates, & R. King (Eds.), Handbook on the politics of higher education (pp. 379-391). Cheltenham: Edward Elgar.
Logica, B., & Magdalena, R. (2015). Using big data in the academic environment. Procedia Economics and Finance, 33(2), 277-286. http://dx.doi.org/10.1016/S2212-5671(15)01712-8
Maassen, P. (2017). The university's governance paradox. Higher Education Quarterly, 71(3), 290-298. http://dx.doi.org/10.1111/hequ.12125
Markuerkiaga, L., Errasti, N., & Igartua, J. I. (2014). Success factors for managing an entrepreneurial university: Developing an integrative framework. Industry and Higher Education, 28(4), 233-244. http://dx.doi.org/10.5367/ihe.2014.0214.
Mikalef, P., Pappas, I. O., Krogstie, J., & Giannakos, M. (2018). Big data analytics capabilities: A systematic literature review and research agenda. Information Systems and e-Business Management, 16(3), 547-578. https://link.springer.com/article/10.1007/s10257-017-0362-y
Noronha, M. E. S. de, Martins, J. B. N., Lietti , T., & Silva , R. de S. V. (2023). Driving Competitive Advantage in Cleantech Companies: A Model of Smart Regulation, Organizational Agility, and Technological Innovation. ESG Studies Review, 6(1), e01594. https://doi.org/10.37497/esg.v6i1.1595
Pardeshia, V. H. (2014). Cloud computing for higher education institutes: Architecture, strategy and recommendations for effective adaptation. Procedia Economics and Finance, 11, 589-599. http://dx.doi.org/10.1016/S2212-5671(14)00224-X
Ponomareva, E. A., Savina, A. D., & Antonenko, N. S. (2023). Risk-orientirovannoe regulirovanie rossiiskikh vuzov: Indikatory riska i ikh ispolzovanie dlia tselei gosudarstvennogo kontrolia [Risk-based regulation of Russian universities: Risk indicators and their use for state control purposes]. Higher Education in Russia, 32(2), 43-60. https://doi.org/10.31992/0869-3617-2023-32-2-43-60
Rof, A., Bikfalvi, A., & Marquès, P. (2020). Digital transformation for business model innovation in higher education: Overcoming the tensions. Sustainability, 12(12), 4980. http://dx.doi.org/10.3390/su12124980
Scott, C. (2021). Managing higher education for a changing regulatory environment. Public Administration and Policy: An Asia-Pacific Journal, 24(1), 7-20. https://doi.org/10.1108/PAP-10-2020-0045
Seres, L., Pavlicevic, V., & Tumbas, P. (2018). Digital transformation of higher education: Competing on analytics. In Proceedings of INTED2018 Conference (pp. 9491-9497). IATED. http://dx.doi.org/10.21125/inted.2018.2348.
Shorfuzzaman, M., Hossain, M. S., Nazir, A., Muhammad, G., & Alamri, A. (2019). Harnessing the power of big data analytics in the cloud to support learning analytics in mobile learning environment. Computers in Human Behavior, 92(1), 578-588. http://dx.doi.org/10.1016/j.chb.2018.07.002
Togaibayeva, A., Ramazanova, D., Kartbayeva, Z., & Kereyeva, R. (2023). Effect of the development of didactic and practical skills in future special education teachers on their professional readiness for work in an inclusive educational environment. European Journal of Contemporary Education, 12(4), 1447-1462. http://dx.doi.org/10.13187/ejced.2023.4.1447
Uskov, V. L., Bakken, J. P., Howlett, R. J., & Jain, L. C. (2018). Smart universities: Concepts, systems, and technologies. Springer, pp. 17-21. http://dx.doi.org/10.1007/978-3-319-59454-5
Yakovleva, A. V. (2023). Legal support for strategies to increase digital literacy: The experience of China. Gaps in Russian Legislation, 16(7), 24-31.
Yakovleva, A. V., Nechaeva, T. V., & Stepanova, T. V. (2023). Legal framework of the education industry defining digital literacy standards for educators in the People's Republic of China. Economic Problems and Legal Practice, 19(5), 50-59.
Ybyraimzhanov, K., Zhaxylikova, K., Koishibaev, M., Omurzakova, A., & Ayapbergenova, G. (2023). Enhancing students' pedagogical potential with practice-oriented courses in teacher education universities. Journal of Education and e-Learning Research, 10(3), 585-594. http://dx.doi.org/10.20448/jeelr.v10i3.4988
Zhang, T., Shaikh, Z. A., Yumashev, A. V., & Chład, M. (2020). Applied model of E-learning in the framework of education for sustainable development. Sustainability, 12(16), 6420. http://dx.doi.org/10.3390/SU12166420
DOI: http://dx.doi.org/10.26668/revistajur.2316-753X.v2i78.7025
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