From virtual to tangible: Gestural experience in computer network education
DOI:
https://doi.org/10.14571/brajets.v18.n4.1654-1662Keywords:
Gestural Interaction, Technology Acceptance, Educational Simulation, Computer Network TrainingAbstract
While network simulators are commonplace in IT education, many fail to progress beyond basic skill replication within a synthetic environment. This article presents a study on the user acceptance of an innovative pedagogical simulator for computer network assembly that utilizes natural gestural interaction. Our investigation, focused on ergonomics, usability, and learner engagement, involved a cohort of student volunteers. Analysis of user perceptions reveals that system aesthetics, ease of use, and perceived utility are significant predictors of both satisfaction and overall usefulness. The findings demonstrate that bilateral (two-handed) gestural interaction enhances user immersion and satisfaction. The study also identifies current limitations, including insufficient auditory feedback and a lack of accessibility features for students with special needs. We propose future developments centered on interface personalization and ongoing research to validate the simulator's efficacy in long-term skill retention and educational outcomes.
References
Aly, M. (2024). Revolutionizing online education: Advanced facial expression recognition for real-time student progress tracking via deep learning model. Multimedia Tools and Applications, 84(13), 12575–12614. https://doi.org/10.1007/s11042-024-19392-5
Damasceno, E. F. (2023). Conexões Transformadoras: Desvendando a Educação e Tecnologia do Futuro. Ensino e Tecnologia Em Revista, 7(3), 1. https://doi.org/10.3895/etr.v7n3.17729
Fan, L., Zhang, Z., Zhu, B., Zuo, D., Yu, X., & Wang, Y. (2023). Smart-Data-Glove-Based Gesture Recognition for Amphibious Communication. Micromachines, 14(11), 2050. https://doi.org/10.3390/mi14112050
Fernandes, A. M., Damasceno, E. F., & Valentim, N. M. C. (2023). Um Mapeamento Sistemático da Literatura sobre Ambientes Digitais para o Treinamento de Profissionais da Educação. Anais Do XXXIV Simpósio Brasileiro de Informática Na Educação (SBIE 2023), 496–508. https://doi.org/10.5753/sbie.2023.233052
Ibrahim, R., Leng, N. S., Yusoff, R. C. M., Samy, G. N., Masrom, S., & Rizman, Z. I. (2018). E-learning acceptance based on technology acceptance model (TAM). Journal of Fundamental and Applied Sciences, 9(4S), 871. https://doi.org/10.4314/jfas.v9i4S.50
Juan, W. (2021). Gesture recognition and information recommendation based on machine learning and virtual reality in distance education. Journal of Intelligent & Fuzzy Systems, 40(4), 7509–7519. https://doi.org/10.3233/JIFS-189572
Orlandini, T. de A., Piacentini Jr, E., Silva, A. P. da, Klaiber, M. A., & Damasceno, E. F. (2024). Análise da manipulação gestual para treinamento de redes de computadores. Caderno Pedagógico, 21(12), e10151. https://doi.org/10.54033/cadpedv21n12-015
Rengganis, Y. A., Safrodin, M., & Sukaridhoto, S. (2018). Integration Head Mounted Display Device and Hand Motion Gesture Device for Virtual Reality Laboratory. IOP Conference Series: Materials Science and Engineering, 288(1), 0–8. https://doi.org/10.1088/1757-899X/288/1/012154
Shanthakumar, V. A., Peng, C., Hansberger, J., Cao, L., Meacham, S., & Blakely, V. (2020). Design and evaluation of a hand gesture recognition approach for real-time interactions. Multimedia Tools and Applications, 79(25–26), 17707–17730. https://doi.org/10.1007/s11042-019-08520-1
Sheu, F.-R., & Chen, N.-S. (2014). Taking a signal: A review of gesture-based computing research in education. Computers & Education, 78, 268–277. https://doi.org/10.1016/j.compedu.2014.06.008
Tölgyessy, M., Dekan, M., & Chovanec, Ľ. (2021). Skeleton Tracking Accuracy and Precision Evaluation of Kinect V1, Kinect V2, and the Azure Kinect. Applied Sciences, 11(12), 5756. https://doi.org/10.3390/app11125756
Vieira, R. M., Da Silva, A. P., & Damasceno, E. F. (2025). A Metaverse-based approach for financial literacy in Brazilian vocational school. Metaverse, 6(1), 3222. https://doi.org/10.54517/m3222
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Eduardo Filgueiras Damasceno, Armando Paulo da Silva, Mauricio Iwana Takano, Ederson Luis Locatelli, André Luiz Przybysz , André Luís dos Santos Domingues
This work is licensed under a Creative Commons Attribution 4.0 International License.
The BRAJETS follows the policy for Open Access Journals, provides immediate and free access to its content, following the principle that making scientific knowledge freely available to the public supports a greater global exchange of knowledge and provides more international democratization of knowledge. Therefore, no fees apply, whether for submission, evaluation, publication, viewing or downloading of articles. In this sense, the authors who publish in this journal agree with the following terms: A) The authors retain the copyright and grant the journal the right to first publication, with the work simultaneously licensed under the Creative Commons Attribution License (CC BY), allowing the sharing of the work with recognition of the authorship of the work and initial publication in this journal. B) Authors are authorized to distribute non-exclusively the version of the work published in this journal (eg, publish in the institutional and non-institutional repository, as well as a book chapter), with acknowledgment of authorship and initial publication in this journal. C) Authors are encouraged to publish and distribute their work online (eg, online repositories or on their personal page), as well as to increase the impact and citation of the published work.