Abstract
The digital technologies enable the transformation of the educational institutions, shaping the way teaching and learning knowledge and skills activities are delivered and assessed, and the pursuance of the Digital Education Ecosystems (DEEs). Industry 4.0 requires highly qualified employees, and the concept of Education 4.0 emerged, which focusses on preparing the future workforce for Industry 4.0. Despite the importance of Education 4.0, research and development work in this area is in an incipient phase, and the fields of Education 4.0 and DEEs expand without a clear vision how the necessities of Industry 4.0 will be addressed, and how the DEEs support attaining the goals of Education 4.0. The aim of this article is to present a framework for Education 4.0 developed by performing a literature review, which contains six dimensions: knowledge, skills and qualifications in Education 4.0; teaching; learning; implementation; (e-)assessment; and quality assurance.
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Notes
- 1.
Interoperability in the context of DEEs refers here to the ability of inter-connected e-learning ICT infrastructures, software systems and “things” to exchange information and interpret it in the same way.
References
Ficheman, I.K., de Deus Lopes R.: Digital learning ecosystems: authoring, collaboration, immersion and mobility. In: ACM IDC, pp. 9–12 (2008)
Mavrikis, M., Guardia, L., Cukurova, M., Maina, M.: A Digital ecosystem for digital competences: the CRISS project demo. In: Pammer-Schindler, V., Pérez-Sanagustín, M., Drachsler, H., Elferink, R., Scheffel, M. (eds.) EC-TEL 2018. LNCS, vol. 11082, pp. 627–630. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-98572-5_60
Wermann, J., Colombo, A.W., Pechmann, A., et al.: Using an interdisciplinary demonstration platform for teaching Industry 4.0. Procedia Manuf. 31, 302–308 (2019)
DIN Deutsches Institut für Normung e.V.: DIN SPEC 91345:2016-04: Referenzarchitekturmodell Industrie 4.0 (RAMI4.0) (2016)
Benesova, A., Tupa, J.: Requirements for education and qualification of people in Industry 4.0. Procedia Manuf. 11, 2195–2202 (2017)
da Motta Reis, J., et al.: Education 4.0: gaps research between school formation and technological development. In: Latifi, S. (ed.) 17th International Conference on Information Technology–New Generations (ITNG 2020). AISC, vol. 1134, pp. 415–420. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-43020-7_55
Moher, D., et al.: Preferred reporting items for systematic review and meta-analyses: the PRISMA statement. PLOS Med. 6(7), e1000097 (2009)
Chang, F.-C., et al.: Future classroom with the Internet of Things - a service-oriented framework. J. Inf. Hiding Multimedia Signal Process. 6(5), 869–881 (2015)
Bagheri, M., Siavosh, H.M.: The effect of the Internet of Things (IoT) on education business model. In: IEEE SITIS, pp. 435–441 (2016)
Boyes, H., Hallaq, B., et al.: The industrial Internet of Things (IIoT): an analysis framework. Comput. Ind. 101, 1–12 (2018)
Tirto, T., Ossik, Y., Omelyanenko, V.: ICT support for Industry 4.0 innovation networks: education and technology transfer issues. In: Ivanov, V., et al. (eds.) DSMIE 2019. LNME, pp. 359–369. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-22365-6_36
Siemens, A.G.: Competences for the future of manufacturing. Siemens Ind. J. 2, 11–25 (2013)
Hammer, M., Hippe, M., Schmitz, C., Sellschop, R., Somers, K.: The dirty little secret. Harv. Bus. Rev. (2016). https://hbr.org/2016/05/the-dirty-little-secret-about-digitally-transforming-operations. Accessed 30 Apr 2021
Gehrke, L., Kühn, A., Rule, D., Moore, P., Bellmann, C., et al.: A Discussion of Qualifications and Skills in the Factory of the Future: A German and American Perspective. VDI The Association of German Engineers, Düsseldorf, Germany (2015)
Karre, H., Hammer, M., Kleindienst, M., et al.: Transition towards an Industry 4.0 state of the LeanLab at Graz University of Technology. Procedia Manuf. 9, 206–213 (2017)
Thiede, S., Juraschek, M., Christoph, H.: Implementing cyber-physical production systems in learning factories. Procedia CIPR 54, 7–12 (2016)
Prinz, C., Morlock, F., Freith, S., et al.: Learning factories modules for smart factories in Industry 4.0. Procedia CIRP 54, 113–118 (2016)
Centea, D., Singh, I., Wanyama, T., Magolon, M., Boer, J., Elbestawi, M.: Using SEPT learning factory for the implementation of Industry 4.0: case of SMEs. Procedia Manuf. 45, 102–107 (2020)
Koul, S., Nayar, B.: The holistic learning educational ecosystem: a classroom 4.0 perspective. High. Educ. Q. 75, 98–112 (2021)
Almeida, F., Simoes, J.: The role of serious games, gamification and Industry 4.0 tools in the Education 4.0 paradigm. Contemp. Educ. Technol. 10(2), 120–136 (2019)
Demartini, B., Benussi, L.: Do web 40 and Industry 4.0 imply Education X.0? IT Prof. 19, 4–7 (2017)
Halili, S.H.: Technological advancements in Education 4.0. Online J. Distance Educ. e-Learning 1(7), 63–69 (2019)
Mian, S.H., Salah, B., Ameen, W., et al.: Adapting universities for sustainability education in Industry 4.0: challenges and opportunities. Sustainability 12, 6100 (2020)
Petersen, M.A., et al.: Development of an item bank for computerized adaptive test (CAT) measurement of pain. Qual. Life Res. 25(1), 1–11 (2015). https://doi.org/10.1007/s11136-015-1069-5
Chituc, C.-M., Herrmann, M., Schiffner, D., Rittberger, M.: Towards the design and deployment of an item bank: an analysis of the requirements elicited. In: Herzog, M.A., Kubincová, Z., Han, P., Temperini, M. (eds.) ICWL 2019. LNCS, vol. 11841, pp. 155–162. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-35758-0_15
Luecht, R.M.: Computer-based test delivery models, data, and operational implementation issues. In: Drasgow, F. (ed.) Technology and testing: Improving educational and psychological measurement, pp. 179–205. Routledge, New York (2016)
Buros, O.K. (ed.): The 1938 Mental Measurements Yearbook. Rutgers University Press, Oxford (1938)
Bartram, D.: Review model for the description and evaluation of psychological tests. European Federation of Psychologists’ Associations, Brussels, Belgium (2002)
Educational Testing Service: ETS standards for quality and fairness. Educational Testing Service, Princeton (2014)
Association of Educational Assessment-Europe: European framework of standards for educational assessment 1.0. Edizione Nova Cultura, Roma (2012). www.aea-europe.net/wpcontent/uploads/2017/07/SW_Framework_of_European_Standards.pdf
Cambridge Assessment: Cambridge Approach to Assessment (2017). www.cambridgeassessment.org.uk/Images/cambridge-approach-to-assessment.pdf
Veldkamp, B.P., Sluijter, C. (eds.): Theoretical and Practical Advances in Computer-based Educational Measurement. MEMA, Springer, Cham (2019). https://doi.org/10.1007/978-3-030-18480-3
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Chituc, CM. (2021). A Framework for Education 4.0 in Digital Education Ecosystems. In: Camarinha-Matos, L.M., Boucher, X., Afsarmanesh, H. (eds) Smart and Sustainable Collaborative Networks 4.0. PRO-VE 2021. IFIP Advances in Information and Communication Technology, vol 629. Springer, Cham. https://doi.org/10.1007/978-3-030-85969-5_66
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