@article{TeichmannUllrichKotarskietal.2021,
  author    = {Teichmann, Malte and Ullrich, Andr{\´e} and Kotarski, David and Gronau, Norbert},
  title     = {Facing the demographic change},
  series = {SSRN eLibrary / Social Science Research Network},
  journal   = {SSRN eLibrary / Social Science Research Network},
  publisher = {Social Science Electronic Publ.},
  address   = {[Erscheinungsort nicht ermittelbar]},
  issn      = {1556-5068},
  doi       = {10.2139/ssrn.3858716},
  pages     = {6},
  year      = {2021},
  abstract  = {Digitization and demographic change are enormous challenges for companies. Learning factories as innovative learning places can help prepare older employees for the digital change but must be designed and configured based on their specific learning requirements. To date, however, there are no particular recommendations to ensure effective age-appropriate training of bluecollar workers in learning factories. Therefore, based on a literature review, design characteristics and attributes of learning factories and learning requirements of older employees are presented. Furthermore, didactical recommendations for realizing age-appropriate learning designs in learning factories and a conceptualized scenario are outlined by synthesizing the findings.},
  language  = {en}
}
@article{UllrichTeichmannGronau2021,
  author    = {Ullrich, Andr{\´e} and Teichmann, Malte and Gronau, Norbert},
  title     = {Fast trainable capabilities in software engineering-skill development in learning factories},
  series = {Ji suan ji jiao yu = Computer Education / Qing hua da xue},
  journal   = {Ji suan ji jiao yu = Computer Education / Qing hua da xue},
  number    = {12},
  publisher = {[Verlag nicht ermittelbar]},
  address   = {Bei jing shi},
  issn      = {1672-5913},
  doi       = {10.16512/j.cnki.jsjjy.2020.12.002},
  pages     = {2 -- 10},
  year      = {2021},
  abstract  = {The increasing demand for software engineers cannot completely be fulfilled by university education and conventional training approaches due to limited capacities. Accordingly, an alternative approach is necessary where potential software engineers are being educated in software engineering skills using new methods. We suggest micro tasks combined with theoretical lessons to overcome existing skill deficits and acquire fast trainable capabilities. This paper addresses the gap between demand and supply of software engineers by introducing an actionoriented and scenario-based didactical approach, which enables non-computer scientists to code. Therein, the learning content is provided in small tasks and embedded in learning factory scenarios. Therefore, different requirements for software engineers from the market side and from an academic viewpoint are analyzed and synthesized into an integrated, yet condensed skills catalogue. This enables the development of training and education units that focus on the most important skills demanded on the market. To achieve this objective, individual learning scenarios are developed. Of course, proper basic skills in coding cannot be learned over night but software programming is also no sorcery.},
  language  = {en}
}
@article{VladovaWotschackLareiroetal.2020,
  author    = {Vladova, Gergana and Wotschack, Philip and Lareiro, Patricia de Paiva and Gronau, Norbert and Thim, Christof},
  title     = {Lernen mit Assistenzsystemen},
  series = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse},
  volume    = {36},
  journal   = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse},
  number    = {3},
  publisher = {GITO mbH Verlag},
  address   = {Berlin},
  issn      = {2364-9208},
  doi       = {10.30844/I40M_20-3_S16-20},
  pages     = {16 -- 20},
  year      = {2020},
  abstract  = {Der Beitrag beschreibt die Konzeption und Durchf{\"u}hrung und bietet einen Einblick in die ersten Ergebnisse einer Untersuchung mit experimentellem Design in einer simulierten Prozessumgebung im Forschungs- und Anwendungszentrum Industrie 4.0 in Potsdam. Im Mittelpunkt stehen Anlernprozesse im Bereich der Einfacharbeit (Helfert{\"a}tigkeiten) und ihre Gestaltung durch den Einsatz digitaler Assistenzsysteme. In der Arbeitsforschung finden sich Hinweise darauf, dass mit dem Einsatz dieser Systeme Prozesswissen verloren geht, im Sinne einer guten Kenntnis des gesamten Arbeitsprozesses, in den die einzelnen T{\"a}tigkeiten eingebettet sind. Das kann sich als Problem erweisen, vor allem wenn unvorhersehbare Situationen oder Fehler eintreten. Um die Rolle von Prozesswissen beim Einsatz von digitalen Assistenzsystemen zu untersuchen, wird im Experiment eine echte Fabriksituation simuliert. Die Probanden werden {\"u}ber ein Assistenzsystem Schritt f{\"u}r Schritt in ihre Aufgabent{\"a}tigkeit angelernt, einem Teil der Probanden wird allerdings am Anfang zus{\"a}tzlich Prozesswissen im Rahmen einer kurzen Schulung vermittelt.},
  language  = {de}
}