Physical demonstrators play a crucial role in engineering education but are often limited by issues such as availability, accessibility, and maintenance. Digital twins offer a promising solution by providing virtual, interactive learning environments that overcome these challenges. This paper presents the development of a digital twin for a two-axis motion system, enhanced by an innovative camshaft mechanism for needle control. The implementation is carried out using the twin software platform. The didactic concept follows two approaches: students analyze and control pre-existing digital twins, and they are also empowered to model and test their own twins. This dual approach aims to enhance system understanding and foster student autonomy in digital modeling and control. The project demonstrates the potential of digital twins to replicate complex mechatronic systems, offering a safe and flexible platform for self-directed learning in engineering education.