Learning processes towards the integration of knowledge, skills and attitudes are currently still a mystery. In this article, three integration processes are developed: low-road integration, high-road integration and transformative integration. It also lays a basis for further empirical research by offering hypotheses regarding these different processes.
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Insider ethnographic analysis is used to analyze change processes in an engineering department. Distributed leadership theory is used as conceptual framework.
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This article reviews 24 articles in order to get a structured view on student's learning processes when dealing with a combination of school-based learning and workplace learning in vocational education. It focuses on six main themes: students' expertise development, students' learning styles, students' integration of knowledge acquired in school and workplace, processes of knowledge development, students' motivations for learning and students' professional identity development.
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De ontwikkelingen en veranderingen in de gezondheidszorg maken het noodzakelijk dat verpleegkundigen door middel van bij- en nascholing hun deskundigheid op peil houden. Deskundigheid is de basis waarop herregistratie in het BIG-register zal gaan plaatsvinden. Per 1 januari 2009 moeten zorgverleners na vijf jaar hun deskundigheid aantonen door te voldoen aan de werkervaringseis en, als ze daar niet aan voldoen, de scholingseis1. Deskundigheidsbevordering en Lifelong Learning - levenslang leren - gaan hand in hand. Lifelong Learning is het principe dat mensen gedurende hun hele leven in staat en gemotiveerd zijn om te leren en dat de omgeving daartoe mogelijkheden biedt2, 3. E-learning wordt geassocieerd met leeractiviteiten die plaatsvinden op een zelfgekozen moment waarbij een met een computernetwerk verbonden computer interactief gebruikt wordt. ‘Any place, any time’ is een wezenlijk aspect van e-learning. E-learning is belangrijk voor het levenslang leren van verpleegkundigen.
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Hoofdstuk 2 uit Position paper Learning Communities van Netwerk learning Communities Grote maatschappelijke uitdagingen op het gebied van vergrijzing, duurzaamheid, digitalisering, segregatie en onderwijskwaliteit vragen om nieuwe manieren van werken, leren en innoveren. In toenemende mate wordt daarom ingezet op het bundelen van kennis en expertise van zowel publieke als private organisaties, die elkaar nodig hebben om te innoveren en complexe vraagstukken aan te pakken. Het concept ‘learning communities’ wordt gezien als dé oplossing om leren, werken en innoveren anders met elkaar te verbinden: collaboratief, co-creërend en contextrijk. Vanuit het Netwerk Learning Communities is een groep onafhankelijk onderzoekers van een groot aantal Nederlandse kennisinstellingen aan de slag gegaan met een kennissynthese rondom het concept ‘Learning Community’. Het Position paper is een eerste aanzet tot kennisbundeling. Een ‘levend document’ dat in de komende tijd verder aangevuld en verrijkt kan worden door onderzoekers, praktijkprofessionals en beleidsmakers.
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Dit paper is het eindproduct van leerarrangement 1 (Zin in Leren) van de HBO masteropleiding Leren en Innoveren. Het is een literatuurstudie naar blended learning en hoe blended learning kan bijdragen aan een beter leerresultaat van de student.
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Symposiumbijdrage conferentie EARLI SIG 14, 11-14 september 2018, Genève Learning across the contexts of school and the workplace is highly relevant to the VET-sector. This contribution analyses these cross-contextual learning processes with three key issues in mind: (1) guidance by vocational educators, (2) assessment of students’ development and (3) design of VET-learning environments. Guidance, assessment and overarching VET-curriculum designs form the basis for constructive alignment as an approach to optimize conditions for high quality cross-contextual learning processes. We used the theoretical framework of boundary crossing to clarify the complex, multilevel nature of these key issues.
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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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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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