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

Łukasz Paśko, Maksymilian Mądziel, Dorota Stadnicka, Grzegorz Dec, Anna Carreras-Coch, Xavier Solé-Beteta, Lamprini Pappa, Chrysostomos Stylios, Daniele Mazzei, Daniele Atzeni

Research output: Indexed journal article Articlepeer-review

12 Citations (Scopus)

Abstract

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. Addi-tionally, 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.

Original languageEnglish
Article number3312
JournalSustainability (Switzerland)
Volume14
Issue number6
DOIs
Publication statusPublished - 1 Mar 2022

Keywords

  • Artificial intelligence
  • Edge computing
  • Internet of Things
  • Knowledge
  • Skills
  • University curricula

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