@inbook{63793,
  author       = {{Vernholz, Mats and Schäfers, Johannes and Jonas-Ahrend, Gabriela and Temmen, Katrin}},
  booktitle    = {{Smart Technologies for an All-Electric Society. STE 2025. Lecture Notes in Networks and Systems}},
  editor       = {{Auer, Michael E. and Langmann, Reinhard and May, Dominik and Morales, Manuel}},
  isbn         = {{9783032073150}},
  issn         = {{2367-3370}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Shaping Tomorrow’s Classrooms: Integrating AI in Technology Teacher Training and VET in Germany}}},
  doi          = {{10.1007/978-3-032-07316-7_10}},
  year         = {{2026}},
}

@inproceedings{60226,
  author       = {{Koppius, Sebastian Niklas and Beutner, Marc and Krings, Sarah Claudia and Schäfers, Johannes and Temmen, Katrin and Sauer, Stefan and Pieper, Carsten and Schuba, Kornelia}},
  location     = {{Paderborn}},
  pages        = {{122--129}},
  title        = {{{Die Ausbildung von morgen gestalten: mit 5G und für 5G.}}},
  volume       = {{23}},
  year         = {{2025}},
}

@inbook{65032,
  abstract     = {{Despite its status as a key enabling technology, the adoption of 5G in
industry remains limited, mainly due to a lack of expertise, which can be addressed
by incorporating 5G training into vocational schools. Since Augmented Reality
(AR) faces similar challenges, it is used as the 5G application. This research aims
to determine the extent to which a learning unit using 5G and AR for collaborative
work can increase the intention to use these technologies in the vocational setting
and gathers the factors that make up 5G acceptance. It is based on the Technology Acceptance Model 2 (TAM2). The sample includes 23 industrial mechanics
students who participated in the developed learning unit. All items are scored on
seven-tiered Likert scales (0 “totally disagree”; 6 “totally agree”).
The results showed a non-significant change in behavioural intention to use
5G, with a mean of 4.95 (SD: 1.18) for the pre-test and 4.43 (SD: 1.68) for the posttest. The change in intention to use AR did not change significantly either, from
3.12 (SD: 1.38) at pre-test to 3.37 (SD: 1.16) at post-test. The factors Perceived
Usefulness, Image, and Relevance had the lowest mean scores, indicating areas for
targeted improvement. The significant change in Output Quality ratings is likely to
reflect initial overestimation by students. The difference in Behavioural Intentions
between 5G and AR suggests that AR may not be an effective technology for
increasing 5G adoption in educational contexts. One recommendation is to address
5G in the learning unit not only indirectly.}},
  author       = {{Schäfers, Johannes and Temmen, Katrin}},
  booktitle    = {{Proceedings of the 27th International Conference on Interactive Collaborative Learning (ICL2024), Volume 4}},
  editor       = {{Auer, Michael E. and Rüütmann, Tiia}},
  isbn         = {{9783031835193}},
  issn         = {{2367-3370}},
  keywords     = {{5G, Key Technology, TAM · Augmented Reality, VET}},
  location     = {{Tallinn}},
  pages        = {{84 – 91}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{The Influence of an Immersive-Collaborative Learning Unit on the Technology Acceptance of 5G and AR of Industrial Mechanic Students}}},
  doi          = {{10.1007/978-3-031-83520-9_8}},
  volume       = {{1281}},
  year         = {{2025}},
}

@inproceedings{65034,
  author       = {{Schäfers, Johannes and Vernholz, Mats and Jonas-Ahrend, Gabriela and Temmen, Katrin}},
  location     = {{Potsdam}},
  title        = {{{Vom Prompt zur Praxis – Kooperatives Seminarkonzept zur KI-gestützten Unterrichtsentwicklung in der gewerblich-technischen Lehramtsausbildung}}},
  year         = {{2025}},
}

@inproceedings{58226,
  author       = {{Vernholz, Mats and Schäfers, Johannes and Jonas-Ahrend, Gabriela and Temmen, Katrin}},
  location     = {{München}},
  title        = {{{Uni trifft Schule - Kooperative Unterrichtsentwicklung unter Einbezug von KI in der gewerblich-technischen Lehramtsausbildung}}},
  year         = {{2024}},
}

@techreport{60224,
  author       = {{Koppius, Sebastian Niklas and Schäfers, Johannes and Schuba, Kornelia }},
  title        = {{{Die Ausbildung von morgen gestalten: Mit 5G und für 5G}}},
  year         = {{2024}},
}

