A Teaching Factory Paradigm for Personalized Perception of Education based on Extended Reality (XR)
9 Pages Posted: 1 Apr 2022
Date Written: March 31, 2022
Abstract
Engineering education is key element to the evolution of the global society. The new generations of engineers, following the Industrial Revolutions, and more specifically the upcoming Industry 5.0, require new skills and competencies in order to facilitate this transformation. The scope of the new Industrial Revolution will be to reinforce the Human and Machine Interface (HMI), based on foundations built during the Industry 4.0. Therefore, classic learning models will have to be adapted to this reality. Furthermore, the recent global pandemic has facilitated the development of solutions/platforms for the virtual collaboration for various aspects of everyday life, including professional meetings, educational lectures, academic collaborations, and personal relationships. Taking into consideration the above-mentioned, the key to the creation of more robust and resilient education models, lies on the development of new platforms utilizing cutting-edge technologies, such as Cloud, 5G, Artificial Intelligence (AI), Extended Reality (XR), and Blockchain. Following the mass personalization paradigm implemented in modern manufacturing, a new paradigm, the “Personalized Perception” is introduced, promoting the constant adaptation of education to the skills and competencies of students and generate highly capable engineers by elevating their personal attributes. Therefore, the contribution of this paper is focused on the design and development of a Cloud-based platform supporting the collaboration between engineering students, academic organizations, research organizations, and industrial companies as well. The proposed platform engages technologies such as XR, and Blockchain in order to provide suitable communication channels for collaboration, virtual co-existence, and secure information exchange. Cloud Computing and 5G are utilized in order to support the seamless information flow. Moreover, AI algorithms can be used for supporting simulation tools and for the quantifying student skills and competencies. Consequently, this decentralized platform, promotes the collaboration of the involved parties on a 24/7 basis, providing access to professional tools, complementary to physical presence.
Keywords: Personalized Education, Industry 5.0, Egnineer 5.0, Decentralization
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