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 and Daniele Atzeni
Additional contact information
Łukasz Paśko: Faculty of Mechanical Engineering and Aeronautics, Rzeszów University of Technology, 35-959 Rzeszów, Poland
Maksymilian Mądziel: Faculty of Mechanical Engineering and Aeronautics, Rzeszów University of Technology, 35-959 Rzeszów, Poland
Dorota Stadnicka: Faculty of Mechanical Engineering and Aeronautics, Rzeszów University of Technology, 35-959 Rzeszów, Poland
Grzegorz Dec: Faculty of Electrical and Computer Engineering, Rzeszów University of Technology, 35-959 Rzeszów, Poland
Anna Carreras-Coch: La Salle Campus Barcelona—Research Group in Internet Technologies & Storage, Universitat Ramon Llull, 08022 Barcelona, Spain
Xavier Solé-Beteta: La Salle Campus Barcelona—Research Group in Internet Technologies & Storage, Universitat Ramon Llull, 08022 Barcelona, Spain
Lamprini Pappa: Laboratory of Knowledge and Intelligent Computing, Department of Informatics and Telecommunications, GR-47100 Arta, Greece
Chrysostomos Stylios: Laboratory of Knowledge and Intelligent Computing, Department of Informatics and Telecommunications, GR-47100 Arta, Greece
Daniele Mazzei: Computer Science Department, University of Pisa, 56127 Pisa, Italy
Daniele Atzeni: Computer Science Department, University of Pisa, 56127 Pisa, Italy

Sustainability, 2022, vol. 14, issue 6, 1-43

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. 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.

Keywords: Internet of Things; artificial intelligence; edge computing; knowledge; skills; university curricula (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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