Abstract
Technological changes always bring new opportunities and risks that can modify the existing marketplace. This is also valid for the Industry 4.0 trend, which raises hopes on one side and fears on the other. Especially small and medium-sized enterprises (SMEs) cannot ignore this challenge, if they want to prosper in the future. They certainly need technological support that can assist them in planning, steering, and monitoring the transition process as well as in up-skilling their employees. Design and development of such a system is the aim of the ADAPTION project. In this article we report on this ongoing work, especially on the tool using the newly created progress and maturity models, but also on the related competence development approach. These efforts should enhance the palette of novel methodologies and facilities that are needed to efficiently support workplace learning and training under new circumstances.
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References
Zysman, J., Kenney, M.: The next phase in the digital revolution: intelligent tools, platforms, growth, employment. Commun. ACM 61(2), 54–63 (2018)
Todnem By, R.: Organisational change management: a critical review. J. Change Manag. 5(4), 369–380 (2005)
Kravcik, M., Koper, R., Kluijfhout, E.: TENCompetence training approach. In: Proceedings of EDEN 2007 Annual Conference, pp. 105–110 (2007)
Kluijfhout, E., Koper, R.: Building the technical and organisational infrastructure for lifelong competence development (2010)
Nussbaumer, A., Kravčík, M., Renzel, D., Klamma, R., Berthold, M., Albert, D.: A Framework for Facilitating Self-Regulation in Responsive Open Learning Environments. arXiv preprint arXiv:1407.5891 (2014)
Kravčík, M., Neulinger, K., Klamma, R.: Boosting vocational education and training in small enterprises. In: Verbert, K., Sharples, M., Klobučar, T. (eds.) EC-TEL 2016. LNCS, vol. 9891, pp. 600–604. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-45153-4_72
Ullrich, C., Aust, M., Blach, R., Dietrich, M., Igel, C., Kreggenfeld, N., Kahl, D., Prinz, C., Schwantzer, S.: Assistance- and knowledge-services for smart production. In: Proceedings of the 15th International Conference on Knowledge Technologies and Data-Driven Business. ACM (2015)
Kravčík, M., Nicolaescu, P., Siddiqui, A., Klamma, R.: Adaptive video techniques for informal learning support in workplace environments. In: Wu, T.-T., Gennari, R., Huang, Y.-M., Xie, H., Cao, Y. (eds.) SETE 2016. LNCS, vol. 10108, pp. 533–543. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-52836-6_57
Limbu, B., Fominykh, M., Klemke, R., Specht, M., Wild, F.: Supporting training of expertise with wearable technologies: the WEKIT reference framework. In: Yu, S., Ally, M., Tsinakos, A. (eds.) Mobile and Ubiquitous Learning. PRRE, pp. 157–175. Springer, Singapore (2018). https://doi.org/10.1007/978-981-10-6144-8_10
Schmid, U.: Kompetenzanforderungen für Industrie 4.0. mmb Institute (2017)
ADAPTION Homepage: http://www.adaption-projekt.de. Accessed 30 Jan 2018
Kravčík, M., Ullrich, C., Igel, C.: Supporting awareness and reflection in companies to move towards industry 4.0. In: Proceedings of the 7th Workshop on Awareness and Reflection in Technology Enhanced Learning (ARTEL). CEUR (2017)
Kravčík, M., Ullrich, C., Igel, C.: Towards industry 4.0: leveraging the internet of things for workplace learning and training. In: Proceedings of the Workshop on European TEL for Workplace Learning and Professional Development (2017)
Chen, H., Chiang, R.H., Storey, V.C.: Business intelligence and analytics: from big data to big impact. MIS Q. 36, 1165–1188 (2012)
Kagermann, H., Meinel, C.: Hands on Industrie 4.0. mooc.house, Hasso Plattner Institute for Digital Engineering gGmbH (2016)
Acknowledgement
The project underlying this report is funded by the German Federal Ministry of Education and Research under the funding code 02P14B023. Responsibility for the content of this publication lies with the authors.
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Kravcik, M., Wang, X., Ullrich, C., Igel, C. (2018). Towards Competence Development for Industry 4.0. In: Penstein Rosé, C., et al. Artificial Intelligence in Education. AIED 2018. Lecture Notes in Computer Science(), vol 10948. Springer, Cham. https://doi.org/10.1007/978-3-319-93846-2_83
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DOI: https://doi.org/10.1007/978-3-319-93846-2_83
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