Acta Marisiensis.
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Year 2024
Volume 21 (XXXVIII), no 1 Year 2023 Volume 20 (XXXVII), no 1 Volume 20 (XXXVII), no 2 Year 2022 Volume 19 (XXXVI), no 1 Volume 19 (XXXVI), no 2 Year 2021 Volume 18 (XXXV), no 1 Volume 18 (XXXV), no 2 Year 2020 Volume 17 (XXXIV), no 1 Volume 17 (XXXIV), no 2 Year 2019 Volume 16 (XXXIII), no 1 Volume 16 (XXXIII), no 2 Year 2018 Volume 15 (XXXII), no 1 Volume 15 (XXXII), no 2 Year 2017 Volume 14 (XXXI), no 1 Volume 14 (XXXI), no 2 Year 2016 Volume 13 (XXX), no 1 Volume 13 (XXX), no 2 Year 2015 Volume 12 (XXIX), no 1 Volume 12 (XXIX), no 2 Year 2014 Volume 11 (XXVIII), no 1 Volume 11 (XXVIII), no 2 Year 2013 Volume 10 (XXVII), no 1 Volume 10 (XXVII), no 2 Year 2012 Volume 9 (XXVI), no 1 Volume 9 (XXVI), no 2 Year 2011 Volume 8 (XXV), no 1 Volume 8 (XXV), no 2 Year 2010 Volume 7 (XXIV), no 1 Volume 7 (XXIV), no 2 Year 2009 Volume 6 (XXIII) |
2020, Volume 17 (XXXIV), no 1
Admira BOSHNYAKU, Desislava PIPKOVA, European Center for Quality, Sofia, Bulgaria Liviu MOLDOVAN, ”George Emil Palade” University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, Romania Abstract: This paper reports the research results on the target group survey at European level, composed of manufacturing SMEs and VET regarding knowledge and skills gaps about Industry 4.0, namely knowledge and skills gaps. It sets the basis for elaboration of the of a training course and a practical methodology for web based learning in accordance with the target groups’ needs as well as to provide basis for forming recommendations for evidencebased policy in the field of web based learning. The suggested training modules are: Introduction to Industry 4.0; Solutions for smart production environments in the manufacturing sector; Smart robotics; and Application of CPS/IoT across the process chain. The preferences according to the technological solutions/functions in an interactive educational website are highlighted as well as the proportion of theory and practical on the job training when organizing web based learning in the field of Industry 4.0. DOI: https://doi.org/10.2478/amset-2020-0009 Pages: 47-52 View full article |
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Update: 19-Jun-2024 | © Published by University Press |