Oportunidades para o desenvolvimento do ensino superior sob a influência da tecnologia digital

perspectivas da educação 4.0

Autores

DOI:

https://doi.org/10.22633/rpge.v29i00.20124

Palavras-chave:

Tecnologias educativas, Indústria 4.0, Educação 4.0, E-Learning, Aprendizagem móvel

Resumo

O objetivo deste artigo é apresentar e caracterizar as principais e mais populares tecnologias digitais de apoio ao processo educativo no ensino superior, além de explorar as oportunidades e aplicações futuras que surgem no contexto da Indústria 4.0, cuja característica fundamental é a relação intrínseca com o progresso tecnológico. O documento descreve o estado atual da didática no ensino superior à luz dos avanços das tecnologias da informação, abordando os principais aspectos da didática com base em portais educativos, aprendizagem móvel e Web 2.0. Dado o avanço gradual do progresso científico e tecnológico, os autores analisam a influência das tecnologias da Indústria 4.0 no ensino superior e as perspectivas associadas à Educação 4.0. O estudo conclui que as novas profissões emergentes exigem o ensino de novas competências, e que a introdução das tecnologias da Indústria 4.0 no ensino superior demanda mudanças profundas, representando um desafio significativo para o sistema educacional russo.

Downloads

Não há dados estatísticos.

Biografia do Autor

Farida Gazizova, Kazan Federal University

Kazan Federal University, Kazan – Russia. Associate Professor, Head of Department of Theory and Methodology of Preschool and Primary Education of Elabuga Institute.

Andrey Chunikhin, Russian University of Medicine

Russian University of Medicine, Moscow – Russia. Professor at the Department of Surgical Dentistry and Implantology.

Artemiy Kozachek, Tambov State Technical University

Tambov State Technical University, Tambov – Russia. Associate Professor at the Department of Nature Management and Environmental Protection.

Ekaterina Mussaui-Ulianishcheva, People’s Friendship University of Russia

People’s Friendship University of Russia (RUDN University), Moscow – Russia. Associate Professor at the Department of Foreign Languages.

Rustem Shichiyakh, Kuban State Agrarian University

Kuban State Agrarian University named after I.T. Trubilin, Krasnodar – Russia. Associate Professor at the Department of Management.

Natalia Gubanova, Moscow Polytechnic University

Moscow Polytechnic University, Moscow – Russia. Professor at the Department of Economics and Organization.

Nadezhda Kol'cova, Kuban State University

Kuban State University, Krasnodar – Russia. Senior Lecturer at the Department of Enterprise Economics, Regional and Personnel Management.

Referências

Abdullaev, I., Prodanova, N., Ahmed, M. A., Joshi, G. P., & Cho, W. (2023). Leveraging metaheuristics with artificial intelligence for customer churn prediction in telecom industries. Electronic Research Archive, 31(8), 4443–4458. https://doi.org/10.3934/era.2023227

Abdullayev, I., Akhmetshin, E., Nayanov, E., Otcheskiy, I., & Lyubanenko, A. (2024). Possibilities of using online network communities in the educational process to develop professional skills in students. Revista Conrado, 20(98), 395–401. https://conrado.ucf.edu.cu/index.php/conrado/article/view/3765

Agaev, F. T., Mammadova, G. A., & Melikova, R. T. (2023). "Obrazovanie 4.0" v epokhu tsifrovoi transformatsii: Puti povysheniia ee effektivnosti [Education 4.0 in the era of digital transformation: Ways to improve its efficiency]. Open Education, 27(4), 4–16. https://doi.org/10.21686/1818-4243-2023-4-4-16

Akhmetshin, E., Abdullayev, I., Kozachek, A., Savinkova, O., & Shichiyakh, R. (2024). Competency-based model for the development of teachers’ personal and professional qualities. Interacción y Perspectiva, 15(1), 87–97. https://doi.org/10.5281/zenodo.14031118

Akhmetshin, E. M., Vasilev, V. L., Kozachek, A. V., Meshkova, G. V., & Alexandrova, T. N. (2021). 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

Appakova-Shogina, N., Kondratiev, K., Saykina, G., & Shammazova, E. (2024). Digital socialization in the educational environment: Subjectivity hermeneutics. Revista Conrado, 20(101), 134–140.

Berdibaeva, N., Tlepina, S., Berdibaeva, Y., Tleulesova, B., & Rzagulova, S. (2024). Base legal para la creación y el funcionamiento de universidades internacionales en la República de Kazajstán. Juridicas CUC, 20(1), 239–252.

Borodina, M., Ivashkina, T., Golubeva, T., Afanasiev, O., Pronina, Y., & Berlov, K. (2022). Changes in the use of the Moodle platform by students at different levels of training depending on the period of restrictions due to Covid-19. Revista Conrado, 18(88), 125–132. https://conrado.ucf.edu.cu/index.php/conrado/article/view/2571

Bozhkova, G., Ganova, T., Saltykova, G., Khakimov, N., & Stepanova, D. (2024). Using smartphones to enhance creative cognitive engagement in student learning: A case study. Interacción y Perspectiva, 15(1), 75–86. https://doi.org/10.5281/zenodo.14031077

Carneiro, R. E., Drapal, P., Fagundes, R. A., Maciel, A. M., & Rodrigues, R. L. (2019). Anomaly detection on student assessment in e-learning environments. In 2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT), 2019, Maceio, Brazil (pp. 168–169). IEEE. https://doi.org/10.1109/ICALT.2019.00062

Dahdouh, K., Dakkak, A., Oughdir, L., & Ibriz, A. (2019). Association rules mining method of big data for e-learning recommendation engine. In M. Ezziyyani (Ed.), Advances in Intelligent Systems and Computing. (Vol. 915, pp. 477–491). Springer.

Elmqaddem, N. (2019). Augmented reality and virtual reality in education. Myth or reality? International Journal of Emerging Technologies in Learning, 14(3), 234–241. https://doi.org/10.3991/ijet.v14i03.9289

Filipova, I. A., & Koroteev, V. D. (2023). Future of artificial intelligence: Object of law or legal personality? Journal of Digital Technologies and Law, 1(2), 359–386. https://doi.org/10.21202/jdtl.2023.15

Gizatulina, A. A. (2024). Obrazovanie 4.0 v epokhu tsifrovoi transformatsii [Education 4.0 in the age of digital transformation]. Actual Problems of Pedagogy and Psychology, 5(5), 41–47.

Guntur, M., Setyaningrum, W., Retnawati, H., & Marsigìt, M. (2020). Assessing the potential of augmented reality in education. In Proceedings of the 2020 11th International Conference on E-Education, E-Business, E-Management, and E-Learning (pp. 93–97). Association for Computing Machinery. https://doi.org/10.1145/3377571.3377621

Kabzhanova, G., Aubakirova, R., Belenko, O., & Tursungozhinova, G. (2024). Designing effective pedagogical strategies for fostering meta-competence using smart resources in language training. European Journal of Contemporary Education, 13(1), 54–66. https://doi.org/10.13187/ejced.2024.1.54

Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2018). Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives. Process Safety and Environmental Protection, 117, 408–425. https://doi.org/10.1016/j.psep.2018.05.009

Khan, S., & Alqahtani, S. (2020). Big data application and its impact on education. International Journal of Emerging Technologies in Learning, 15(17), 36–46. https://doi.org/10.3991/ijet.v15i17.14459

Klochkova, E. N., & Sadovnikova, N. A. (2019). Transformatsiia obrazovaniia v usloviiakh tsifrovizatsii [Transformation of education in the conditions of digitalization]. Open Education, 23(4), 13–22. https://doi.org/10.21686/1818-4243-2019-4-13-22

Koh, L., Orzes, G., & Jia, F. (2019). The fourth industrial revolution (Industry 4.0): Technologies disruption on operations and supply chain management. International Journal of Operations & Production Management, 39(6/7/8), 817–828. https://doi.org/10.1108/IJOPM-08-2019-788

Lichtenthaler, U. (2021). Digitainability: The combined effects of the megatrends digitalization and sustainability. Journal of Innovation Management, 9(2), 64–80. https://doi.org/10.24840/2183-0606_009.002_0006

Mamedova, G. A., Agaev, F. T., & Zeinalova, L. A. (2019). Ispolzovanie sotsialnykh setei dlia personalizatsii elektronnogo obrazovaniia [The use of social networks for personalization of electronic education]. Problems of Information Technology, 1, 27–34. https://doi.org/10.25045/jpit.v10.i1.03

Novichkov, V. B., Ilyichyova, I. V., & Potapov, D. A. (2022). Principles of constructing the content of general secondary education. Anthropological Didactics and Upbringing, 5(4), 10–26.

Oztemel, E., & Gursev, S. (2020). Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 31(4), 127–182. https://doi.org/10.1007/s10845-018-1433-8

Piccarozzi, M., Aquilani, B., & Gatti, C. (2018). Industry 4.0 in management studies: A systematic literature review. Sustainability, 10(10), 3821. https://doi.org/10.3390/su10103821

Pivneva, S., Vaslavskaya, I., Lapir, M., Petrova, O., Shichiyakh, R., & Belova, N. (2023). Assessing the quality of project management in industrial enterprises within the framework of industry 4.0 based on the integral entropy index. Revista Gestão & Tecnologia, 23(2), 356–367.

Polozhentseva, I., Vaslavskaya, I., Vasyukov, V., & Nesova, N. (2024). Possibilities of application of adaptive knowledge testing using artificial neural networks in training economics students. European Journal of Contemporary Education, 13(3), 589–597. https://doi.org/10.13187/ejced.2024.3.589

Sadiku, M. N. O., Ashaolu, T. J., Ajayi–Majebi, A., & Musa, S. (2021). Artificial intelligence in education. International Journal of Scientific Advances, 2(1), 5–11. https://doi.org/10.51542/ijscia.v2i1.2

Safiullin, M., Gataullina, A., & Yelshin, L. (2024). Comparative analysis of higher education and science in Russia and Japan: Key features of development. Revista Conrado, 20(101), 187–197.

Shatskaia, I. V. (2021). Kontseptsiia obrazovaniia 4.0 i sovremennye vyzovy sisteme professionalnoi podgotovki kadrov dlia tsifrovoi ekonomiki [The concept of education 4.0 and contemporary challenges to the system of professional training for the digital economy]. Proceedings of the Southwest State University. Series: Economics. Sociology. Management, 11(5), 182–194. https://doi.org/10.21869/2223-1552-2021-11-5-182-194

Shichkin, I., Ruziev, Z., Jumaniyazova, M., Abdullaeva, M., & Abdullayev, I. (2024a). Development of higher education in the context of digitalization: Developing an effective socio-economic integration model. Revista Conrado, 20(S1), 142–147.

Shichkin, I., Sizova, Y., Kolganov, S., & Panova, E. (2024b). Perception of the flipped classroom model by students in the process of studying humanities disciplines. European Journal of Contemporary Education, 13(2), 423–433. https://doi.org/10.13187/ejced.2024.2.423

Shumakova, N. I., Lloyd, J. J., & Titova, E. V. (2023). Towards legal regulations of generative AI in the creative industry. Journal of Digital Technologies and Law, 1(4), 880–908. https://doi.org/10.21202/jdtl.2023.38

Togaibayeva, A., Ramazanova, D., Yessengulova, M., Yergazina, A., Nurlin, A., & Shokanov, R. (2022). Effect of mobile learning on students’ satisfaction, perceived usefulness, and academic performance when learning a foreign language. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.946102

Trubitsyna, N., Kostenkova, T., Shepelev, M., Pishchulin, V., & Vorobyev, S. (2024). Labor market transformation in the context of digital transformations of the economy. Revista Jurídica, 1(77), 24–52.

Vasilev, V. L., Gapsalamov, A. R., Akhmetshin, E. M., Bochkareva, T. N., Yumashev, A. V., & Anisimova, T. I. (2020). Digitalization peculiarities of organizations: A case study. Entrepreneurship and Sustainability Issues, 7(4), 3173–3190. https://doi.org/10.9770/jesi.2020.7.4(39)

Vikhman, V. V. (2022). Tekhnologicheskie tendentsii Industrii 4.0 v obrazovanii: Navigator vozmozhnostei [Technological trends of Industry 4.0 in education: Opportunity navigator]. Professional Education in the Modern World, 12(1), 29–36. https://doi.org/10.20913/2618-7515-2022-1-4

Vikhman, V. V., & Romm, M. V. (2021). "Tsifrovye dvoiniki" v obrazovanii: Perspektivy i realnost ["Digital twins" in education: Prospects and reality]. Higher Education in Russia, 30(2), 22–32. https://doi.org/10.31992/0869-3617-2021-30-2-22-32

Vuta, D. R. (2021). Augmented reality technologies in education – A literature review. Bulletin of the Transilvania University of Brasov, 13(62), 2, 35–46. https://doi.org/10.31926/but.es.2020.13.62.2.4

Xu, L. D., Xu, E. L., & Li, L. (2018). Industry 4.0: State of the art and future trends. International Journal of Production Research, 56(8), 2941–2962. https://doi.org/10.1080/00207543.2018.1444806

Publicado

10/04/2025

Como Citar

GAZIZOVA, F.; CHUNIKHIN, A.; KOZACHEK, A.; MUSSAUI-ULIANISHCHEVA, E.; SHICHIYAKH, R.; GUBANOVA, N.; KOL’COVA, N. Oportunidades para o desenvolvimento do ensino superior sob a influência da tecnologia digital: perspectivas da educação 4.0. Revista on line de Política e Gestão Educacional, Araraquara, v. 29, n. 00, p. e025008, 2025. DOI: 10.22633/rpge.v29i00.20124. Disponível em: https://periodicos.fclar.unesp.br/rpge/article/view/20124. Acesso em: 21 abr. 2025.