Framework of virtual platforms for learning and developing competencies

IF 2.1 Q2 ENGINEERING, MULTIDISCIPLINARY Cogent Engineering Pub Date : 2023-10-09 DOI:10.1080/23311916.2023.2265632
Nicia Guillén-Yparrea, Felipe Hernández-Rodríguez, María Soledad Ramírez-Montoya
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Abstract

This work seeks to analyze the scientific evidence of the last five years and investigate the behavioral trends of virtual platforms and simulations for learning and skills development. By conducting a systematic literature review, utilizing the SciVal tool, and assessing statistical findings, we aim to establish a framework for the current status of the subject and identify the primary trends and applications of the strategies employed. Among the most relevant findings were the increase in registered users worldwide in 2021 due to the pandemic and the growth of courses available on virtual platforms such as Coursera and edEx. The most significant themes, both in indexed scholarly publications and in recent citations, were in computer science and education, showing how applications of educational technology have broken the paradigm of traditional education. Statistical studies also provide information regarding projections for new users in the next five years, owing to the popularity and effectiveness of these tools. This article summarizes the most significant information from sources such as Scopus, Web of Science, SciVal, and Statistical Sources. It presents a clear overview of the experimentation and use of virtual platforms and simulations for learning and competency development in higher education, highlighting key concepts and providing guidelines for future applications.
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学习和发展能力的虚拟平台框架
这项工作旨在分析过去五年的科学证据,并调查用于学习和技能发展的虚拟平台和模拟的行为趋势。通过进行系统的文献综述,利用SciVal工具,并评估统计结果,我们的目标是为该主题的现状建立一个框架,并确定所采用策略的主要趋势和应用。其中最相关的发现是,受疫情影响,2021年全球注册用户增加,以及Coursera和edEx等虚拟平台上的课程增加。在有索引的学术出版物和最近的引用中,最重要的主题是计算机科学和教育,显示了教育技术的应用如何打破了传统教育的范式。由于这些工具的普及和有效性,统计研究还提供了关于未来五年新用户预测的资料。本文总结了来自Scopus、Web of Science、SciVal和Statistical sources等来源的最重要的信息。它清晰地概述了虚拟平台和模拟在高等教育中用于学习和能力发展的实验和使用,突出了关键概念,并为未来的应用提供了指导方针。
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来源期刊
Cogent Engineering
Cogent Engineering ENGINEERING, MULTIDISCIPLINARY-
CiteScore
4.00
自引率
5.30%
发文量
213
审稿时长
13 weeks
期刊介绍: One of the largest, multidisciplinary open access engineering journals of peer-reviewed research, Cogent Engineering, part of the Taylor & Francis Group, covers all areas of engineering and technology, from chemical engineering to computer science, and mechanical to materials engineering. Cogent Engineering encourages interdisciplinary research and also accepts negative results, software article, replication studies and reviews.
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