Role of Academics in Transferring Knowledge and Skills on Artificial Intelligence, Internet of Things and Edge Computing

Abstract

Universities play an essential role in preparing human resources for the industry of the future. By providing the proper knowledge, they can ensure that graduates will be able to adapt to the ever-changing industrial sector. However, to achieve this, the courses provided by academia must cover the current and future industrial needs by considering the trends in scientific research and emerging technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and Edge Computing (EC). This work presents the survey results conducted among academics to assess the current state of university courses, regarding the level of knowledge and skills provided to students about the Internet of Things, Artificial Intelligence, and Edge Computing. The novelty of the work is that (a) the research was carried out in several European countries, (b) the current curricula of universities from different countries were analyzed, and (c) the results present the teachers’ perspective. To conduct the research, the analysis of the relevant literature took place initially to explore the issues of the presented subject, which will increasingly concern the industry in the near future. Based on the literature review results and analysis of the universities’ curricula involved in this study, a questionnaire was prepared and shared with academics. The outcomes of the analysis reveal the areas that require more attention from scholars and possibly modernization of curricula.

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“…Therefore, various uses of MEC have been proposed [52][53][54][55]. Especially, machine learning and artificial intelligence are effective in a MEC platform [56][57][58][59]. For utilizing machine learning and artificial intelligence, a large number of data sets obtained from the real environment and a long training time to determine an appropriate task allocation.…”

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“…IoT is a paradigm that provides the instruments needed to enable a global network of interconnected heterogeneous elements (things) that extract, create, and contextualize information according to the objective. IoT allows the evolution of traditional communications into a scenario where communications can be between human-things, things-human, or a machine-to-machine (M2M) [18]. Moreover, IoT is one of the leading technologies of Industry 4.0; therefore, to provide qualified professionals, IoT should be part of academia as a study subject and as part of how education is delivered [19][20][21].…”

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“…One way that IoT edge computing may be used to protect humans is to automatically shut down machines when someone enters a prohibited area at a factory. Autonomous cars require data in order to make critical real-time decisions that might mean the difference between life and death on the road [24], [26], [67], [100], [109], [133], [145], [184], [186], [216], [220], [221], [267], [268], [293], [297], [335].…”