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Stadnicka D, Sęp J, Amadio R, Mazzei D, Tyrovolas M, Stylios C, Carreras-Coch A, Merino JA, Żabiński T, Navarro J. Industrial Needs in the Fields of Artificial Intelligence, Internet of Things and Edge Computing. Sensors (Basel) 2022; 22:4501. [PMID: 35746287 PMCID: PMC9230717 DOI: 10.3390/s22124501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/03/2022] [Accepted: 06/08/2022] [Indexed: 06/15/2023]
Abstract
Industry 4.0 corresponds to the Fourth Industrial Revolution, resulting from technological innovation and research multidisciplinary advances. Researchers aim to contribute to the digital transformation of the manufacturing ecosystem both in theory and mainly in practice by identifying the real problems that the industry faces. Researchers focus on providing practical solutions using technologies such as the Industrial Internet of Things (IoT), Artificial Intelligence (AI), and Edge Computing (EC). On the other hand, universities educate young engineers and researchers by formulating a curriculum that prepares graduates for the industrial market. This research aimed to investigate and identify the industry's current problems and needs from an educational perspective. The research methodology is based on preparing a focused questionnaire resulting from an extensive recent literature review used to interview representatives from 70 enterprises operating in 25 countries. The produced empirical data revealed (1) the kind of data and business management systems that companies have implemented to advance the digitalization of their processes, (2) the industries' main problems and what technologies (could be) implemented to address them, and (3) what are the primary industrial needs and how they can be met to facilitate their digitization. The main conclusion is that there is a need to develop a taxonomy that shall include industrial problems and their technological solutions. Moreover, the educational needs of engineers and researchers with current knowledge and advanced skills were underlined.
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Affiliation(s)
- Dorota Stadnicka
- Faculty of Mechanical Engineering and Aeronautics, Rzeszów University of Technology, 35-959 Rzeszow, Poland; (D.S.); (J.S.)
| | - Jarosław Sęp
- Faculty of Mechanical Engineering and Aeronautics, Rzeszów University of Technology, 35-959 Rzeszow, Poland; (D.S.); (J.S.)
| | - Riccardo Amadio
- Computer Science Department, University of Pisa, 56127 Pisa, Italy; (R.A.); (D.M.)
| | - Daniele Mazzei
- Computer Science Department, University of Pisa, 56127 Pisa, Italy; (R.A.); (D.M.)
| | - Marios Tyrovolas
- Laboratory of Knowledge and Intelligent Computing, Department of Informatics and Telecommunications, University of Ioannina, 47150 Arta, Greece; (M.T.); (C.S.)
| | - Chrysostomos Stylios
- Laboratory of Knowledge and Intelligent Computing, Department of Informatics and Telecommunications, University of Ioannina, 47150 Arta, Greece; (M.T.); (C.S.)
- Industrial Systems Institute, Athena Research Center, 26504 Patras, Greece
| | - Anna Carreras-Coch
- Research Group in Internet Technologies & Storage, La Salle Campus Barcelona, Universitat Ramon Llull, 08022 Barcelona, Spain;
| | - Juan Alfonso Merino
- Systems Department (257), Elecnor Servicios y Proyectos S.A.U., Carrer d’Antonio de los Rios Rosas, 40, 08940 Cornellà de Llobregat, Spain;
| | - Tomasz Żabiński
- Faculty of Electrical and Computer Engineering, Rzeszów University of Technology, 35-959 Rzeszow, Poland;
| | - Joan Navarro
- Research Group in Internet Technologies & Storage, La Salle Campus Barcelona, Universitat Ramon Llull, 08022 Barcelona, Spain;
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Dec G, Stadnicka D, Paśko Ł, Mądziel M, Figliè R, Mazzei D, Tyrovolas M, Stylios C, Navarro J, Solé-Beteta X. Role of Academics in Transferring Knowledge and Skills on Artificial Intelligence, Internet of Things and Edge Computing. Sensors (Basel) 2022; 22:s22072496. [PMID: 35408110 PMCID: PMC9002995 DOI: 10.3390/s22072496] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 03/17/2022] [Accepted: 03/21/2022] [Indexed: 05/22/2023]
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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Affiliation(s)
- Grzegorz Dec
- Faculty of Electrical and Computer Engineering, Rzeszów University of Technology, 35-959 Rzeszów, Poland
- Correspondence:
| | - Dorota Stadnicka
- Faculty of Mechanical Engineering and Aeronautics, Rzeszów University of Technology, 35-959 Rzeszów, Poland; (D.S.); (Ł.P.); (M.M.)
| | - Łukasz Paśko
- Faculty of Mechanical Engineering and Aeronautics, Rzeszów University of Technology, 35-959 Rzeszów, Poland; (D.S.); (Ł.P.); (M.M.)
| | - Maksymilian Mądziel
- Faculty of Mechanical Engineering and Aeronautics, Rzeszów University of Technology, 35-959 Rzeszów, Poland; (D.S.); (Ł.P.); (M.M.)
| | - Roberto Figliè
- Computer Science Department, University of Pisa, 56127 Pisa, Italy; (R.F.); (D.M.)
| | - Daniele Mazzei
- Computer Science Department, University of Pisa, 56127 Pisa, Italy; (R.F.); (D.M.)
| | - Marios Tyrovolas
- Laboratory of Knowledge & Intelligent Computing, Department of Informatics and Telecommunications, University of Ioannina, GR-47150 Arta, Greece; (M.T.); (C.S.)
| | - Chrysostomos Stylios
- Laboratory of Knowledge & Intelligent Computing, Department of Informatics and Telecommunications, University of Ioannina, GR-47150 Arta, Greece; (M.T.); (C.S.)
- Athena Research Center, Industrial Systems Institute, GR-26504 Patras, Greece
| | - Joan Navarro
- Research Group in Internet Technologies & Storage, La Salle Campus Barcelona, Universitat Ramon Llull, 08022 Barcelona, Spain; (J.N.); (X.S.-B.)
| | - Xavier Solé-Beteta
- Research Group in Internet Technologies & Storage, La Salle Campus Barcelona, Universitat Ramon Llull, 08022 Barcelona, Spain; (J.N.); (X.S.-B.)
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