Use of Digital Twin Technology in the Teaching-Learning Process, in the field of University Education: A Bibliometric Review

Q3 Social Sciences
Omar Chamorro-Atalaya, Carlos Hernán Flores-Velásquez, Richard Flores-Cáceres, J. Arévalo-Tuesta, Milton Zevallos-Castañeda, Gregorio Tomás-Quispe, Carmen Cristina Aranda-Dextre, Yreneo Cruz-Telada, Juan Caller-Luna, Ronald Alarcón-Anco
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Abstract

At the convergence of artificial intelligence with pedagogy, digital twin technology is emerging as a tool that offers advanced simulations and interactive learning environments. This is because digital twins make it possible to replicate virtually any piece of equipment or test items in a laboratory. Based on the above, the objective of this article is to explore thematic gaps regarding the use of digital twin technology in the teaching-learning process. For this reason, a bibliometric review study is developed taking as data publications indexed in Scopus, during the years 2018 to 2023. Through the search equation, 92 publications were extracted. The study was developed under a quantitative approach at an exploratory-descriptive level. The results demonstrated that there is a growing and sustained scientific production on the topic under study, showing that, during and after the COVID-19 pandemic, there was greater production compared to other years. Furthermore, although it was identified that this technology is applicable to different specialties of higher education, it was determined that, to a greater extent, the topics discussed are engineering education assisted by digital twins, virtual reality and digital twins for engineering training and simulation-based training through digital twins. However, it is concluded that there is an unaddressed gap regarding the rules and regulations that should govern the use of digital twins in higher education as well as what the teacher's competencies should be so as to guarantee the appropriate use of digital twins as part of their teaching methodology, since the impact on student learning depends on this.
数字孪生技术在大学教育领域教学过程中的应用:文献计量学评论
在人工智能与教学法的交汇处,数字孪生技术正在成为一种提供先进模拟和互动学习环境的工具。这是因为数字孪生技术几乎可以复制实验室中的任何设备或测试项目。基于以上所述,本文旨在探讨在教学过程中使用数字孪生技术的专题空白。为此,本文以 Scopus 索引的 2018 年至 2023 年期间的出版物为数据,开展了文献计量学综述研究。通过检索方程,提取了 92 篇出版物。该研究采用定量方法,从探索-描述层面展开。研究结果表明,与所研究的主题相关的科学成果在不断增长和持续,在 COVID-19 大流行期间和之后,与其他年份相比,科学成果更多。此外,虽然这项技术适用于高等教育的不同专业,但在更大程度上,讨论的主题是数字孪生辅助工程教育、虚拟现实和数字孪生用于工程培训以及通过数字孪生进行模拟培训。然而,结论是,在高等教育中使用数字孪生技术应遵循的规则和条例以及教师应具备的能 力方面,还存在尚未解决的差距,以确保适当使用数字孪生技术作为其教学方法的一部分,因 为对学生学习的影响取决于此。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.10
自引率
0.00%
发文量
220
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