A Learning Factory for Teaching the Transition from Conventional to Industry 4.0 Based Systems

Maganha, Isabela; Pereira, Tábata Fernandes; Pugliese, Luiz Felipe; Santos, Ana Carolina Oliveira; Andersen, Ann-Louise

doi:10.1007/978-3-030-90700-6_103

Cited by 1 publication

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References 11 publications

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“…would not only contribute to the practical aspect, but also would represent a reference point for keeping updated with the latest advancements. Learning factories for serving the teaching of the transition from conventional to I4.0-based systems [49] have been proven to play an important role in the development and realization of the I4.0 concept through the collaboration of researchers, companies, and academia. They can incorporate and test a wide range of I4.0 technologies through test-beds and proof-of-concept experiments, supporting the experimental validation of different artifacts, such as modeling and simulation frameworks [50].…”

Section: Rq3: To What Extent Do the Students Know How To Apply Ai Iot...mentioning

confidence: 99%

Plan and Develop Advanced Knowledge and Skills for Future Industrial Employees in the Field of Artificial Intelligence, Internet of Things and Edge Computing

et al. 2022

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Knowledge and skills in the field of Artificial Intelligence (AI), Internet of Things (IoT), and Edge Computing (EC) are more and more important for industry. Therefore, it is crucial to know what current students and future employees can offer to the industry. University students develop their knowledge and skills to support the industry in implementing modern technologies in the future. It can be expected that the first source of information for students will be lectures and other activities at the university. However, they may obtain knowledge from other sources. This article presents the results of research conducted among students assessing their own knowledge and skills in the field of IoT, AI, and EC. The research was preceded by an analysis of curricula at selected universities in terms of topics related to AI, IoT, and EC. Based on the results of the analysis, survey questions were prepared. The developed questionnaire was made available to students. The research sample for the survey participants was 563 students. The results obtained were analyzed. The results of the analysis show which issues are better known to students and which are worse. The information presented in this paper can be a source of information for the industry that can assess the competences that are or will be available on the labor market in the near future. Additionally, universities can obtain information on the areas in which there are competency gaps and which methods of teaching AI, IoT, and EC are better perceived by students.

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Section: Rq3: To What Extent Do the Students Know How To Apply Ai Iot...mentioning

confidence: 99%

Plan and Develop Advanced Knowledge and Skills for Future Industrial Employees in the Field of Artificial Intelligence, Internet of Things and Edge Computing

et al. 2022

View full text Add to dashboard Cite

show abstract

A Learning Factory for Teaching the Transition from Conventional to Industry 4.0 Based Systems

Cited by 1 publication

References 11 publications

Plan and Develop Advanced Knowledge and Skills for Future Industrial Employees in the Field of Artificial Intelligence, Internet of Things and Edge Computing

Plan and Develop Advanced Knowledge and Skills for Future Industrial Employees in the Field of Artificial Intelligence, Internet of Things and Edge Computing

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