TY - CHAP A1 - Saffert, Anne-Sophie A1 - Schmailzl, Marc A1 - Spitzhirn, Michael A1 - Linner, Thomas T1 - A Cyber-Physical Toolbox for Teaching Digital Construction – Technical Configuration, Learning Tactics and Hands-On Testing and Evaluation in Dedicated Courses T2 - Learning Factories of the Future, Proceedings of the 14th Conference on Learning Factories 2024, Volume 2 N2 - The construction industry faces substantial economic, environmental, and social challenges. Simultaneously, the industry experiences one of the lowest degrees of digitalization. In this context, cyber-physical education is essential to empower learners with skills to utilize digital and physical solutions more effectively. Therefore, a modular as well as construction specific learning setting was designed. The setting facilitates a range of topics, such as production planning considering human and robot capabilities, (semi-) automated construction machines, robotics, sensing & actuation and more. The digital part of the cyber-physical toolbox consists of various methods and tools to learn programming languages, frameworks, offline simulators, post-processors and more. This step is essential to enable an end-to-end data-/workflow from design (e.g., BIM-based planning methodologies) to (machine-based) production. A focus is given to human-machine/-robot collaboration and appropriate simulation tools (e.g., emaWD) enabling the incorporation of human factors. The physical setting is highly modular, and each device and its periphery can be customized to a broad variety of learning scenarios and levels. This paper describes the details of the learning setting, extracts learning strategies, and analyzes selected learning scenarios and their initial testing in various learning formats. KW - learning setting KW - production planning KW - construction industry KW - human-robot collaboration Y1 - 2024 SN - 9783031653995 U6 - https://doi.org/10.1007/978-3-031-65400-8_10 SN - 2367-3370 SP - 83 EP - 91 PB - Springer Nature CY - Cham ER -