Metaverso como um ambiente de aprendizado para o ensino híbrido
DOI:
https://doi.org/10.5944/ried.26.2.36097Palabras clave:
metaverso, ambiente de aprendizagem, ensino híbrido, pós-COVIDResumen
A COVID-19 motivou profundas transformações no campo educacional, acelerando mudanças relacionadas ao uso de novas tecnologias para alunos e professores, sendo forçados a frequentaram ambientes remotos constantemente e adaptarem as práticas educacionais a eles. Com o retorno gradativo às atividades presenciais após o período crítico da pandemia, alunos e professores enfrentaram o crescimento de uma desafiadora realidade, o ensino e aprendizado híbrido. Neste contexto, o uso de tecnologias como o metaverso surge como abordagem natural a este tipo de ensino, uma vez que apresenta a proposta de estender o mundo real para ambientes virtuais. Neste artigo, o objetivo é apresentar o uso de um metaverso como um ambiente de aprendizado para dar suporte ao ensino híbrido. Através de um estudo quasi-experimental em uma turma de ensino superior, foi analisada a percepção dos alunos e sua motivação ao usar este tipo de abordagem para o ensino híbrido. Como resultados, foram identificadas evidências positivas de que o metaverso foi percebido com um bom ambiente de aprendizado para o ensino híbrido e que proporcionou motivação aos alunos para a realização das atividades didáticas propostas. Assim, a partir das lições aprendidas na pandemia, este trabalho traz contribuições ao apresentar uma possível abordagem usando o metaverso como ambiente de aprendizado para suportar as necessidades do ensino híbrido.
ARTÍCULO COMPLETO:
https://revistas.uned.es/index.php/ried/article/view/36097/27683
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Allua, S., & Thompson, C. B. (2009). Inferential statistics. Air Medical Journal, 28(4), 168-171. https://doi.org/10.1016/j.amj.2009.04.013
Baker, J. (2007). Constructivist online learning environment survey. In R. A. Reynolds, R. Woods, & J. D. Baker (Eds.), Handbook of Research on Electronic Surveys and Measurements (pp. 299-301). IGI Global. https://doi.org/10.4018/978-1-59140-792-8.ch036
Basili, V. R. (1992). Software modeling and measurement: the goal/question/metric paradigm. Technical Report: University of Maryland (CS-TR-2956, UMIACS-TR-92-9), College Park, USA. http://hdl.handle.net/1903/7538
Bermejo Fernandez, C., Lee, L. H., Nurmi, P., & Hui, P. (2021). Privacy management and control in emerging iot ecosystems using augmented reality. In Proceedings of the 2021 International Conference on Multimodal Interaction (pp. 478-486), Montreal, Canada. https://doi.org/10.1145/3462244.3479885
Bhal, S., & Monika, M. S. (2023). Performance of Education Sector in Virtual & Hybrid Learning Teams: During or Post Covid-19 Restrictions. In S. Singh, A. Kumari, & P. Haldar (Eds.), Digital Disruption and Environmental, Social & Governance (p. 21-29). Book Bazooka Publication.
Burgess, S., & Sievertsen, H. H. (2020). Schools, skills, and learning: The impact of COVID-19 on education. VoxEu.org. https://cepr.org/voxeu/columns/schools-skills-and-learning-impact-covid-19-education
Campbell, D. T., & Stanley, J. C. (2015). Experimental and quasi-experimental designs for research. Ravenio books.
Cook, T. D., Campbell, D. T., & Shadish, W. (2002). Experimental and quasi-experimental designs for generalized causal inference. Houghton Mifflin.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334. https://doi.org/10.1007/BF02310555
Crowder, M. J., Kimber, A. C., Smith, R. L., & Sweeting, T. J. (2017). Statistical analysis of reliability data. Routledge. https://doi.org/10.1201/9780203738726
Farghally, M. F., Mohammed, M., Mahmoud, H. F., Ellis, M., Haqq, D., Domino, M., & Shaffer, C. A. (2021). The Online Transition of Two CS Courses in Response to COVID-19. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (pp. 1251-1251), Virtual Event, USA. https://doi.org/10.1145/3408877.3439571
Freitas, A., & Rodrigues, S. (2005). A avaliação da confiabilidade de questionários: uma análise utilizando o coeficiente alfa de cronbach. In XII SIMPEP (pp. 1-15), Bauru, Brazil. https://doi.org/10.13140/2.1.3075.6808
Guri-Rosenblit, S. (2009). Distance education in the digital age: Common misconceptions and challenging tasks. International Journal of E-Learning & Distance Education/Revue internationale du e-learning et la formation à distance, 23(2), 105-122. https://www.ijede.ca/index.php/jde/article/view/627
Inceoglu, M. M., & Ciloglugil, B. (2022). Use of Metaverse in education. In International Conference on Computational Science and Its Applications (pp. 171-184), Malaga, Spain. https://doi.org/10.1007/978-3-031-10536-4_12
Jeon, J. H. (2021). A study on education utilizing metaverse for effective communication in a convergence subject. International Journal of Internet, Broadcasting and Communication, 13(4), 129-134. https://doi.org/10.1123/ijsc.2019-0125
Jovanović, A., & Milosavljević, A. (2022). VoRtex Metaverse platform for gamified collaborative learning. Electronics, 11(3), 317. https://doi.org/10.3390/electronics11030317
Kim, K., Yang, E., & Ryu, J. (2022). Work-in-progress — The Effect of Students’ Perceptions on Intention to use Metaverse Learning Environment in Higher Education. In 2022 8th International Conference of the Immersive Learning Research Network (iLRN) (pp. 1-3), Vienna, Austria. https://doi.org/10.23919/iLRN55037.2022.9815996
Kumar, A., Krishnamurthi, R., Bhatia, S., Kaushik, K., Ahuja, N. J., Nayyar, A., & Masud, M. (2021). Blended learning tools and practices: A comprehensive analysis. IEEE Access, 9(1), 85151-85197. https://doi.org/10.1109/ACCESS.2021.3085844
Kye, B., Han, N., Kim, E., Park, Y., & Jo, S. (2021). Educational applications of metaverse: possibilities and limitations. Journal of Educational Evaluation for Health Professions, 18(32), 1-13. https://doi.org/10.3352/jeehp.2021.18.32
Lin, H., Wan, S., Gan, W., Chen, J., & Chao, H. C. (2022). Metaverse in education: Vision, opportunities, and challenges. arXiv preprint arXiv:2211.14951, 1-10. https://doi.org/10.48550/arXiv.2211.14951
Masferrer, J. Á. R., Sánchez, F. E., & Hernández, D. F. O. (2014). Experiences complementing classroom teaching with distance seminars in metaverses and videos. Journal of Cases on Information Technology (JCIT), 16(4), 1-12. https://doi.org/10.4018/jcit.2014100101
Momtaz, P. P. (2022). Some very simple economics of web3 and the metaverse. FinTech, 1(3), 225-234. https://doi.org/10.3390/fintech1030018
Monahan, D. (2022). Connecting with Students in the Hybrid 2.0 Classroom. Strawser, M.G. (Eds.), Higher Education Implications for Teaching and Learning During COVID-19, (pp.135). Lexington Books.
Mustafa, B. (2022). Analyzing education based on metaverse technology. Technium Social Sciences Journal, 32(1), 278-295. https://doi.org/10.47577/tssj.v32i1.6742
Mystakidis, S. (2022). Metaverse. Encyclopedia, 2(1), 486-497. https://doi.org/10.3390/encyclopedia2010031
Oliveira, N. J., Procaci, T. B., & Siqueira, S. W. M. (2020). Captura da aceitação do blackboard e do tipo de motivação de alunos de cursos presenciais de Ciências Exatas em uma universidade privada. Revista Brasileira de Informática na Educação, 28(1), 229-259. https://doi.org/10.5753/rbie.2020.28.0.229
Rof, A., Bikfalvi, A., & Marques, P. (2022). Pandemic-accelerated digital transformation of a born digital higher education institution. Educational Technology & Society, 25(1), 124-141.
Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary educational psychology, 25(1), 54-67. https://doi.org/10.1006/ceps.1999.1020
Sedamano, M. J. S. J., Jaramillo, C. C. S., Sotelo, C. M., Ballesteros, M. A. S., & Jaramillo, D. I. S. (2022). Aulas híbridas: la nueva normalidad de la educación superior a partir del Covid-19. Apuntes Universitarios, 12(2), 162-178. https://doi.org/10.17162/au.v12i2.1044
Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3/4), 591-611. https://doi.org/10.2307/2333709
Siegel, A. A., Zarb, M., Alshaigy, B., Blanchard, J., Crick, T., Glassey, R., & Williams, D. (2021). Teaching through a Global Pandemic: Educational Landscapes Before, During and After COVID-19. In Proceedings of the 2021 Working Group Reports on Innovation and Technology in Computer Science Education (pp. 1-25), Virtual Event, Germany. https://doi.org/10.1145/3502870.3506565
Staker, H., & Horn, M. B. (2012). Classifying K–12 blended learning. Technical Report: Innosight Institute. http://hdl.handle.net/70130/5105
Stephenson, N. (2003). Snow crash: A novel. Spectra.
Suh, W., & Ahn, S. (2022). Utilizing the Metaverse for Learner-Centered Constructivist Education in the Post-Pandemic Era: An Analysis of Elementary School Students. Journal of Intelligence, 10(17), 1-15. https://doi.org/10.3390/jintelligence10010017
Taylor, P.C., & Maor, D. (2000). Assessing the efficacy of online teaching with the Constructivist On-Line Learning Environment Survey. In A. Herrmann, & M. M. Kulski (Eds.), Flexible Futures in Tertiary Teaching. Curtin University of Technology, Perth, Australia.
Tayebinik, M., & Puteh, M. (2013). Blended Learning or E-learning? International Magazine on Advances in Computer Science and Telecommunications, 3(1), 103-110. https://doi.org/10.48550/arXiv.1306.4085
Tlili, A., Huang, R., Shehata, B., Liu, D., Zhao, J., Metwally, A. H. S., & Burgos, D. (2022). Is Metaverse in education a blessing or a curse: a combined content and bibliometric analysis. Smart Learning Environments, 9(1), 1-31. https://doi.org/10.1186/s40561-022-00205-x
Toshalis, E., & Nakkula, M. J. (2012). Motivation, engagement, and student voice. Boston, MA: Jobs for the Future.
Valente, J. A. (2014). Blended learning e as mudanças no ensino superior: a proposta da sala de aula invertida. Educar em revista, 79-97. https://doi.org/10.1590/0104-4060.38645
Van der Merwe, D. (2021). The metaverse as virtual heterotopia. In 3rd world conference on research in social sciences (pp. 1-11), Vienna, Austria. https://doi.org/10.33422/3rd.socialsciencesconf.2021.10.61
Viner, R. M., Russell, S. J., Croker, H., Packer, J., Ward, J., Stansfield, C., & Booy, R. (2020). School closure and management practices during coronavirus outbreaks including COVID-19: a rapid systematic review. The Lancet Child & Adolescent Health, 4(5), 397-404. https://doi.org/10.1016/S2352-4642(20)30095-X
Wang, Y., Lee, L. H., Braud, T., & Hui, P. (2022). Re-shaping Post-COVID-19 Teaching and Learning: A Blueprint of Virtual-Physical Blended Classrooms in the Metaverse Era. In 1st International Workshop on Social and Metaverse Computing and Networking (pp. 1-7), Bologna, Italy. https://doi.org/10.1109/ICDCSW56584.2022.00053
Yu, J. E. (2022). Exploration of educational possibilities by four metaverse types in physical education. Technologies, 10(5), 104-115. https://doi.org/10.3390/technologies10050104
Yue, K. (2022). Breaking down the Barrier between Teachers and Students by Using Metaverse Technology in Education: Based on A Survey and Analysis of Shenzhen City, China. In 2022 13th International Conference on E-Education, E-Business, E-Management, and E-Learning (IC4E) (pp. 40-44), Tokyo, Japan. https://doi.org/10.1145/3514262.3514345
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