Abdallah Al-Zoubi;Elio San Cristobal;Fadi R. Shahroury;Manuel Castro
{"title":"The Middle East Higher Education Experience: Implementing Remote Labs to Improve the Acquisition of Skills in Industry 4.0","authors":"Abdallah Al-Zoubi;Elio San Cristobal;Fadi R. Shahroury;Manuel Castro","doi":"10.1109/TLT.2023.3341490","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":49191,"journal":{"name":"IEEE Transactions on Learning Technologies","volume":"17 ","pages":"982-991"},"PeriodicalIF":2.9000,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Learning Technologies","FirstCategoryId":"95","ListUrlMain":"https://ieeexplore.ieee.org/document/10359149/","RegionNum":3,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.