New Scenarios and Trends in Nontraditional Laboratories From 2000 to 2020

IF 2.9 3区 教育学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ricardo Martin Fernandez;Felix Garcia-Loro;Gustavo R. Alves;Africa López-Rey;Russ Meier;Manuel Castro
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引用次数: 0

Abstract

For educational institutions in science, technology, engineering and mathematics (STEM) areas, the provision of practical learning scenarios is, traditionally, a major concern. In the 21st century, the explosion of information and communication technology (ICTs), as well as the universalization of low-cost hardware, has allowed the proliferation of technical solutions for any field, in the case of experimentation, encouraging the emergence and proliferation of nontraditional experimentation platforms. This movement has resulted in enriched practical environments, with wider adaptability for both students and teachers. In this article, the evolution of scholar production has been analyzed at the global level from 2000 to 2020. Current and emerging experimentation scenarios have been identified, specifying the scope and boundaries between them.
2000 至 2020 年非传统实验室的新设想和新趋势
对于科学、技术、工程和数学(STEM)领域的教育机构来说,提供实践学习场景历来是一个主要问题。在 21 世纪,信息和通信技术(ICTs)的爆炸式发展以及低成本硬件的普及,使得任何领域的技术解决方案都能得到推广,就实验而言,这鼓励了非传统实验平台的出现和推广。这一运动丰富了实践环境,为学生和教师提供了更广泛的适应性。本文分析了从 2000 年到 2020 年全球学者培养的演变。确定了当前和新兴的实验方案,明确了它们之间的范围和界限。
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来源期刊
IEEE Transactions on Learning Technologies
IEEE Transactions on Learning Technologies COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
7.50
自引率
5.40%
发文量
82
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.
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