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Lecturers teaching statistics are faced with several challenges supporting students' learning in appropriate ways. A variety of methods and tools exist to facilitate students' learning on statistics courses. The online questionnaires presented in this report are a new, slightly different computer-based tool: the central aim was to support students to master the course content and to provide the lecturer with continuous feedback about the students' difficulties and deficits. The aims of online questionnaires supporting teaching and learning of statistics are compared to aims of other computer-based and non-computerized methods and tools. Additionally, data from a first evaluation of the questionnaires is presented. In a first year psychology student's statistics course (bachelor program), students were offered the possibility of filling in an online questionnaire every time a specific theme had been taught. Out of the 126 first year students there were 28 who answered the online questionnaires regularly and 12 answered them sometimes. Those who answered the online questionnaires assessed them as helpful for their understanding of the course's content. The lecturer judged the online questionnaires as particularly helpful for improving teaching and assessing performance deficits.

The increased curricular integration of simulation-based training (SBT) in medical education is accompanied by researchers' calls to examine the effectiveness of SBT. We address conflicting results regarding effects of an added stressor on learning outcomes. In an experimental setting, one group of medical students (N = 20) performed cardiopulmonary resuscitation on a patient simulator. For a second group (N = 21) the scenario differed in that they encountered a defect defibrillator. We found participants of both groups to show increased biological stress-levels, independent of group allocation. Paradoxically, participants who encountered the equipment failure subjectively reported less stress. We discuss the implications of the comparable high stress levels in both groups with regards to future studies. We further discuss the result regarding subjective stress levels within the framework of attribution theory. Practitioner summary: The results of our experimental study underline the need for evidence-based choices of additional stressors for the design of simulation scenarios. We describe the choice of stimuli and setting in detail to maximise practical value for the construction of simulation-based medical trainings. [ABSTRACT FROM AUTHOR]

Introduction: With the advancement of technology and the increasing utilization of AI, the nature of human work is evolving, requiring individuals to collaborate not only with other humans but also with AI technologies to accomplish complex goals. This requires a shift in perspective from technology-driven questions to a human-centered research and design agenda putting people and evolving teams in the center of attention. A socio-technical approach is needed to view AI as more than just a technological tool, but as a team member, leading to the emergence of human-AI teaming (HAIT). In this new form of work, humans and AI synergistically combine their respective capabilities to accomplish shared goals., Methods: The aim of our work is to uncover current research streams on HAIT and derive a unified understanding of the construct through a bibliometric network analysis, a scoping review and synthetization of a definition from a socio-technical point of view. In addition, antecedents and outcomes examined in the literature are extracted to guide future research in this field., Results: Through network analysis, five clusters with different research focuses on HAIT were identified. These clusters revolve around (1) human and (2) task-dependent variables, (3) AI explainability, (4) AI-driven robotic systems, and (5) the effects of AI performance on human perception. Despite these diverse research focuses, the current body of literature is predominantly driven by a technology-centric and engineering perspective, with no consistent definition or terminology of HAIT emerging to date., Discussion: We propose a unifying definition combining a human-centered and team-oriented perspective as well as summarize what is still needed in future research regarding HAIT. Thus, this work contributes to support the idea of the Frontiers Research Topic of a theoretical and conceptual basis for human work with AI systems., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Berretta, Tausch, Ontrup, Gilles, Peifer and Kluge.)