中东高等教育经验:实施远程实验室,提高工业 4.0 中的技能获取能力

IF 2.9 3区 教育学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS IEEE Transactions on Learning Technologies Pub Date : 2023-12-13 DOI:10.1109/TLT.2023.3341490
Abdallah Al-Zoubi;Elio San Cristobal;Fadi R. Shahroury;Manuel Castro
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引用次数: 0

摘要

在不断发展的技术领域,工业 4.0 是一场人机交织的巨大革命,重塑了劳动和工作环境的动态。这种范式的转变需要一种新的视角,需要一套全新的技能和能力来驾驭错综复杂的进步网络。从工程师到企业家,从程序员到工人,第四次工业革命要求具备多方面的技能,以迎接技术的飞跃。在这场变革中,远程实验室作为一个有力的平台,为培养学生的专业知识提供了高效可靠的手段,从而为迎接工作 4.0 时代的到来做好了准备。本文深入探讨了苏马亚公主理工大学的故事,揭示了该校巧妙利用远程实验室为学生提供接触工业 4.0 的第一手资料。此外,文章还探讨了培养学生虚拟协作、社交智能和沟通技能的创新评估技术,重点介绍了在成绩和成就方面的显著提升。
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The Middle East Higher Education Experience: Implementing Remote Labs to Improve the Acquisition of Skills in Industry 4.0
In the ever-evolving landscape of technology, Industry 4.0 stands as a monumental revolution that intertwines man and machine, reshaping the dynamics of labor and work environments. This paradigm shift demands a new outlook and necessitates a fresh set of skills and competencies to navigate the intricate web of advancements. From engineers to entrepreneurs, programmers to workers, the fourth industrial revolution mandates a versatile skillset to embrace its technological leaps. Amidst this transformation, the role of remote labs emerges as a potent platform, offering efficient and dependable means to cultivate students’ expertise, thus preparing them for the dawn of the Work 4.0 era. This article delves into the story of Princess Sumaya University for Technology, shedding light on its ingenious employment of remote labs to provide students with a firsthand encounter with Industry 4.0. Furthermore, it explores innovative assessment techniques to foster virtual collaboration, social intelligence, and communication skills among students, highlighting remarkable enhancements in performance and achievements.
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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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