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

Grzegorz Dec, Dorota Stadnicka, Łukasz Paśko, Maksymilian Mądziel, Roberto Figliè, Daniele Mazzei, Marios Tyrovolas, Chrysostomos Stylios, Joan Navarro, Xavier Solé-Beteta

Research output: Indexed journal article Articlepeer-review

19 Citations (Scopus)


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.

Original languageEnglish
Article number2496
JournalSensors (Switzerland)
Issue number7
Publication statusPublished - 1 Apr 2022


  • Artificial Intelligence
  • Edge Computing
  • Internet of Things
  • Knowledge transfer


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