poster voor de EuSoMII Annual Meeting in Pisa, Italië in oktober 2023. PURPOSE & LEARNING OBJECTIVE Artificial Intelligence (AI) technologies are gaining popularity for their ability to autonomously perform tasks and mimic human reasoning [1, 2]. Especially within the medical industry, the implementation of AI solutions has seen an increasing pace [3]. However, the field of radiology is not yet transformed with the promised value of AI, as knowledge on the effective use and implementation of AI is falling behind due to a number of causes: 1) Reactive/passive modes of learning are dominant 2) Existing developments are fragmented 3) Lack of expertise and differing perspectives 4) Lack of effective learning space Learning communities can help overcome these problems and address the complexities that come with human-technology configurations [4]. As the impact of a technology is dependent on its social management and implementation processes [5], our research question then becomes: How do we design, configure, and manage a Learning Community to maximize the impact of AI solutions in medicine?
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From the article: "The educational domain is momentarily witnessing the emergence of learning analytics – a form of data analytics within educational institutes. Implementation of learning analytics tools, however, is not a trivial process. This research-in-progress focuses on the experimental implementation of a learning analytics tool in the virtual learning environment and educational processes of a case organization – a major Dutch university of applied sciences. The experiment is performed in two phases: the first phase led to insights in the dynamics associated with implementing such tool in a practical setting. The second – yet to be conducted – phase will provide insights in the use of pedagogical interventions based on learning analytics. In the first phase, several technical issues emerged, as well as the need to include more data (sources) in order to get a more complete picture of actual learning behavior. Moreover, self-selection bias is identified as a potential threat to future learning analytics endeavors when data collection and analysis requires learners to opt in."
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To adequately deal with the challenges faced within residential care for older people, such as the increasing complexity of care and a call for more person-centred practices, it is important that health care providers learn from their work. This study investigates both the nature of learning, among staff and students working within care for older people, and how workplace learning can be promoted and researched. During a longitudinal study within a nursing home, participatory and democratic research methods were used to collaborate with stakeholders to improve the quality of care and to promote learning in the workplace. The rich descriptions of these processes show that workplace learning is a complex phenomenon. It arises continuously in reciprocal relationship with all those present through which both individuals and environment change and co-evolve enabling enlargement of the space for possible action. This complexity perspective on learning refines and expands conventional beliefs about workplace learning and has implications for advancing and researching learning. It explains that research on workplace learning is itself a form of learning that is aimed at promoting and accelerating learning. Such research requires dialogic and creative methods. This study illustrates that workplace learning has the potential to develop new shared values and ways of working, but that such processes and outcomes are difficult to control. It offers inspiration for educators, supervisors, managers and researchers as to promoting conditions that embrace complexity and provides insight into the role and position of self in such processes.
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Tango is among the most widespread world music genres nowadays. However, only partial information about the elements and techniques of composing, arranging and performing tango has been documented and made available so far. This research project aims at investigating tango’s main aspects in the oeuvre of relevant tango musicians, promoting its creative practice and expanding its artistic community. By making the implicit knowledge in scores and recordings explicit and ready for creative use by the greater artistic community, tango can be preserved, on one side; and musicians can experiment and reach new artistic horizons, securing its continuation and development as vivid, contemporary music, on the other. The project has two research questions: 1. What are the main features and techniques of tango music composition, arrangement and performance? 2. How can musicians nowadays integrate these features and techniques into their practice to deepen their understanding and enhance their artistic creations and performances? This research uses a mixed method design, including the analysis of scores and recordings, literature review, interviews, observational studies and experimentation. It expands the artistic community on the topic and bridges two top-notch institutions devoted to tango learning: Codarts and UNSAM (Argentina). The research also endeavours improvements in the Codarts curriculum as it complements and expands its educational programme by providing students with research tools to enhance their creative practice. Theoretical and artistic outcomes will be documented and disseminated in concerts, concert-lectures, papers, articles and a tailor-made website containing compositions, arrangements, videos, text, musical examples and annotated scores, so as to record: a) the musical materials and techniques found in the analysed scores and recordings, together with their applications in practice and performance; b) the artistic processes, reflections and production of the participants; c) information on how to create, arrange and perform tangos.
