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Reasoning about students who might have behavioral, developmental, or learning disorders is a relevant aspect of teachers’ everyday practice (Reinke et al., Sch Psychol Q 26(1):1, 2011). Therefore, this content area should be part of teacher education. Accordingly, we developed a simulation-based learning environment in which pre-service teachers gather information about six individual students. Learners examine reports about students’ behavior, e.g., in the classroom or at home, and analyze the students’ performance and records of their work. The pre-service teachers’ task is to integrate the given information and draw a diagnostic conclusion for each student. Several design aspects were investigated using the simulation. The most challenging design aspect was to automatically generate adaptive feedback on epistemic diagnostic activities and diagnostic outcomes (Schulz et al., e-teaching. org Themenspecial, Was macht Lernen mit digitalen Medien erfolgreich, 2019). The studies we conduct are replicated in a parallel project in medical education.

In their daily practice, physicians with different professional backgrounds often diagnose a patient’s problem collaboratively. In those situations, physicians not only need to be able to diagnose individually, but also need additional collaborative competences such as information sharing and negotiation skills (Liu et al., 2015), which can influence the quality of the diagnostic outcome (Tschan et al., 2009). We introduce the CDR model, a process model for collaborative diagnostic reasoning processes by diagnosticians with different knowledge backgrounds. Building on this model, we develop a simulation in order to assess and facilitate collaborative diagnostic competences among advanced medical students. In the document-based simulation, learners sequentially diagnose five patients by inspecting a health record for symptoms. Then, learners request a radiological diagnostic procedure from a simulated radiologist. By interacting with the simulated radiologist, the learners elicit more evidence for their hypotheses. Finally, learners are asked to integrate all information and suggest a final diagnosis.

Diagnostic argumentation can be decomposed referring to the dimensions of content (see Toulmin 2003) and explicated strategy use indicated by epistemic activities (see Fischer et al. 2014). We propose a conceptual framework to analyze these two dimensions within diagnostic argumentation and explore its use within initial applications using the method of Epistemic Network Analysis (Shaffer 2017). The results indicate that both approaches of solely analyzing the dimension of content and solely analyzing the dimension of epistemic activities offer less insights into diagnostic argumentations than an analysis that includes both dimensions.

Work competencies can be defined as learned abilities to adequately perform a task, role or mission (Roe 2002). In the workplace context, work-integrated learning approaches are particularly promising approaches for developing work competencies while ensuring transfer and relevance for practice (Sonntag and Stegmaier 2007). However, apart from developing competencies, it is also important that newly acquired competencies are actually applied in the workplace. Hereby motivation plays an essential role. Work environments, which support feelings of competence, autonomy and relatedness, are the foundation for maintaining motivation (Ryan and Deci 2000).

Nuclear power plants are operated in about 30 countries. The implementation of nuclear power plants in the future is being discussed in a similar number of other countries. Some of these plans are at an advanced stage; many others are at the stage of very preliminary considerations.

Logistics is concerned with effectively managing the flow of materials and supplies for production, commerce and other purposes (Christopher, 2003). Transport logistics deals with resource flows on a large scale level, as it involves transport by land, water, and air. A second domain of logistics is intralogistics, which is concerned with the internal handling of materials and supplies within specific production sites or intermediate storage facilities (Arnold, 2006). This paper focuses on intralogistics or, more specifically, on one of its central tasks, order picking.