IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i6p3312-d769650.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    Athena Research Center, Industrial Systems Institute, GR-26504 Patras, Greece)

  • Daniele Mazzei

    (Computer Science Department, University of Pisa, 56127 Pisa, Italy)

  • Daniele Atzeni

    (Computer Science Department, University of Pisa, 56127 Pisa, Italy)

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.

Suggested Citation

  • Łukasz Paśko & Maksymilian Mądziel & Dorota Stadnicka & Grzegorz Dec & Anna Carreras-Coch & Xavier Solé-Beteta & Lamprini Pappa & Chrysostomos Stylios & Daniele Mazzei & Daniele Atzeni, 2022. "Plan and Develop Advanced Knowledge and Skills for Future Industrial Employees in the Field of Artificial Intelligence, Internet of Things and Edge Computing," Sustainability, MDPI, vol. 14(6), pages 1-43, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3312-:d:769650
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/6/3312/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/6/3312/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jackson, Denise, 2009. "Undergraduate management education: Its place, purpose and efforts to bridge the skills gap," Journal of Management & Organization, Cambridge University Press, vol. 15(2), pages 206-223, May.
    2. Natalia Shmatko & Galina Volkova, 2020. "Bridging the Skill Gap in Robotics: Global and National Environment," SAGE Open, , vol. 10(3), pages 21582440209, September.
    3. Zhan Lin & Tiefeng Liu & Xinping Ai & Chengdu Liang, 2018. "Aligning academia and industry for unified battery performance metrics," Nature Communications, Nature, vol. 9(1), pages 1-5, December.
    4. Argote, Linda & Ingram, Paul, 2000. "Knowledge Transfer: A Basis for Competitive Advantage in Firms," Organizational Behavior and Human Decision Processes, Elsevier, vol. 82(1), pages 150-169, May.
    5. Argote, Linda & Ingram, Paul & Levine, John M. & Moreland, Richard L., 2000. "Knowledge Transfer in Organizations: Learning from the Experience of Others," Organizational Behavior and Human Decision Processes, Elsevier, vol. 82(1), pages 1-8, May.
    6. John Jumper & Richard Evans & Alexander Pritzel & Tim Green & Michael Figurnov & Olaf Ronneberger & Kathryn Tunyasuvunakool & Russ Bates & Augustin Žídek & Anna Potapenko & Alex Bridgland & Clemens Me, 2021. "Highly accurate protein structure prediction with AlphaFold," Nature, Nature, vol. 596(7873), pages 583-589, August.
    7. Mohammed M. Mabkhot & Pedro Ferreira & Antonio Maffei & Primož Podržaj & Maksymilian Mądziel & Dario Antonelli & Michele Lanzetta & Jose Barata & Eleonora Boffa & Miha Finžgar & Łukasz Paśko & Paolo M, 2021. "Mapping Industry 4.0 Enabling Technologies into United Nations Sustainability Development Goals," Sustainability, MDPI, vol. 13(5), pages 1-33, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liang Liu & Yuhan Zhang & Xiujuan Gong & Mengyue Li & Xue Li & Donglin Ren & Pan Jiang, 2022. "Impact of Digital Economy Development on Carbon Emission Efficiency: A Spatial Econometric Analysis Based on Chinese Provinces and Cities," IJERPH, MDPI, vol. 19(22), pages 1-21, November.
    2. Ying Yang & Jinruo Qin & Jing Lei & Yanping Liu, 2023. "Research Status and Challenges on the Sustainable Development of Artificial Intelligence Courses from a Global Perspective," Sustainability, MDPI, vol. 15(12), pages 1-20, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Naoki Yasuda & Hitoshi Mitsuhashi, 2017. "Learning from Political Change and the Development of MNCs’ Political Capabilities: Evidence from the Global Mining Industry," Management International Review, Springer, vol. 57(5), pages 749-774, October.
    2. Sharath Sasidharan & Radhika Santhanam & Daniel J. Brass & Vallabh Sambamurthy, 2012. "The Effects of Social Network Structure on Enterprise Systems Success: A Longitudinal Multilevel Analysis," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 658-678, September.
    3. Tippmann, Esther & Sharkey Scott, Pamela & Mangematin, Vincent, 2014. "Subsidiary managers’ knowledge mobilizations: Unpacking emergent knowledge flows," Journal of World Business, Elsevier, vol. 49(3), pages 431-443.
    4. Meier, Matthias & Weller, Ingo, 2010. "Wissensmanagement und unternehmensinterner Wissenstransfer," Discussion Papers 2010/16, Free University Berlin, School of Business & Economics.
    5. Esther Tippmann & Pamela Sharkey Scott & Vincent Mangematin, 2014. "Subsidiary managers’ knowledge mobilizations: Unpacking emergent knowledge flows," Post-Print hal-00864324, HAL.
    6. repec:dgr:rugsom:03b31 is not listed on IDEAS
    7. Jyoti Verma & Anamika Sinha, 2016. "Knowledge Sharing in Cross-Functional Teams and its Antecedents: Role of Mutual Trust as a Moderator," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 1-22, September.
    8. Simon Rodan, 2008. "Organizational learning: effects of (network) structure and (individual) strategy," Computational and Mathematical Organization Theory, Springer, vol. 14(3), pages 222-247, September.
    9. Christos Kolympiris & Sebastian Hoenen & Peter G. Klein, 2019. "Learning by Seconding: Evidence from National Science Foundation Rotators," Organization Science, INFORMS, vol. 30(3), pages 528-551, May.
    10. Abd Hair Awang & Mohd Yusof Hussain & Jalaluddin Abdul Malek, 2009. "Promoting Knowledge Transfer in Science and Technology: A Case Study of Technology Park Malaysia (TPM)," Croatian Economic Survey, The Institute of Economics, Zagreb, vol. 11(1), pages 95-113, April.
    11. Jane Zhou & Jaideep Anand & Will Mitchell, 2001. "Transferring Collective Knowledge: Collective and Fragmented Teaching and Learning in the Chinese Auto Industry," William Davidson Institute Working Papers Series 420, William Davidson Institute at the University of Michigan.
    12. Walter Vesperi & Anna Maria Melina & Marzia Ventura & Raffaella Coppolino & Rocco Reina, 2021. "Organizing knowledge transfer between university and agribusiness firms," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(3), pages 321-329, May.
    13. repec:hal:gemwpa:hal-00864324 is not listed on IDEAS
    14. Bosch-Sijtsema, Petra M. & Rispens, Sonja, 2003. "Facilitating knowledge transfer in virtual teams through a social network approach," Research Report 03B31, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    15. Bryan K. Hasty & Anne P. Massey & Susan A. Brown, 2006. "Role-Based Experiences, Media Perceptions, and Knowledge Transfer Success in Virtual Dyads," Group Decision and Negotiation, Springer, vol. 15(4), pages 367-387, July.
    16. Linda Argote & Bill McEvily & Ray Reagans, 2003. "Introduction to the Special Issue on Managing Knowledge in Organizations: Creating, Retaining, and Transferring Knowledge," Management Science, INFORMS, vol. 49(4), pages 1-1, April.
    17. Elizabeta Susaj & Enkelejda Kucaj & Erald Laçi & Lush Susaj, 2017. "Environmental Impacts Assessment of Chromium Minings in Bulqiza Area, Albania," European Journal of Interdisciplinary Studies Articles, Revistia Research and Publishing, vol. 3, ejis_v3_i.
    18. Narda R. Quigley & Paul E. Tesluk & Edwin A. Locke & Kathryn M. Bartol, 2007. "A Multilevel Investigation of the Motivational Mechanisms Underlying Knowledge Sharing and Performance," Organization Science, INFORMS, vol. 18(1), pages 71-88, February.
    19. Daan van Knippenberg & Hanneke J. M. Kooij-de Bode & Wendy P. van Ginkel, 2010. "The Interactive Effects of Mood and Trait Negative Affect in Group Decision Making," Organization Science, INFORMS, vol. 21(3), pages 731-744, June.
    20. repec:dau:papers:123456789/2557 is not listed on IDEAS
    21. Argote, Linda & Fahrenkopf, Erin, 2016. "Knowledge transfer in organizations: The roles of members, tasks, tools, and networks," Organizational Behavior and Human Decision Processes, Elsevier, vol. 136(C), pages 146-159.
    22. Ye Yuan & Lei Chen & Kexu Song & Miaomiao Cheng & Ling Fang & Lingfei Kong & Lanlan Yu & Ruonan Wang & Zhendong Fu & Minmin Sun & Qian Wang & Chengjun Cui & Haojue Wang & Jiuyang He & Xiaonan Wang & Y, 2024. "Stable peptide-assembled nanozyme mimicking dual antifungal actions," Nature Communications, Nature, vol. 15(1), pages 1-17, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3312-:d:769650. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.