In deze rapportage staat het functioneren en beoordelen van professionals in het hbo centraal. In het project Experimental Learning Labs: Functioneren en Beoordelen in Teams zijn we, mede dankzij de steun vanuit de stimuleringsregeling van Zestor, op zoek gegaan naar andere en innovatieve manieren om de HR-cyclus vorm te geven en onderlinge feedback in teams te stimuleren, op een manier die beter aansluit bij de ontwikkelingen in de organisatie, de sector en bij de wensen en behoeften van medewerkers. Het project is uitgevoerd door en met medewerkers van de Hogeschool van Amsterdam (HvA). Aan het project deden professionals in 3 teams, HR professionals en een aantal medewerkers van het lectoraat Samenwerkende Professionals (voorheen Teamprofessionalisering) mee. Door in ‘Experimental Learning Labs’ in een drietal verschillende teams met nieuwe vormen van aanspreken en feedback geven te experimenteren1, heeft het project input gegeven en inspiratie opgeleverd voor een meer passende kijk op en aanpak van de HR-cyclus binnen de hogeschool. Deze Experimental Learning Labs zijn uitgevoerd onder begeleiding van het lectoraat Samenwerkende Professionals in samenwerking met de HR-werkgroep ‘Functioneren & Beoordelen’
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Experimental Learning and Innovation Environments, such as Living Labs, Field Labs, and Urban Innovation Labs, are increasingly used to connect multi-stakeholders in envisioning, creating, experimenting, learning, and trying out novel responses to diverse societal challenges. With designers facilitating the co-creation processes that take place in these labs, the design discipline plays an important role in these experimental environments. Applied Design Research in Living Labs and other Experimental Learning and Innovation Environments combines a focus on Experimental Learning and Innovation Environments (or Living Labs) with a focus on Applied Design Research. It offers an interdisciplinary perspective by bringing together diverse stakeholders from different disciplines. The book will adopt an interdisciplinary perspective, integrating insights from design, innovation, sociology, technology, and other relevant fields. It showcases real-world examples and case studies of successful Applied Design Research in Living Labs and focuses on design dilemmas that emerge while working in these Experimental Learning and Innovation Environments. The book explores the role of various stakeholders, including the roles that may play out during the development of Experimental Learning and Innovation Environments, and goes on to discuss the balance between fixed or fluid roles of these stakeholders and the polarity between working within one specific discipline versus working with various expertise or disciplines. Designers, government representatives, and researchers who apply a living lab approach to solve multi-stakeholder challenges in various fields by applying Urban Innovation Labs, Energy Living Labs, Mobility Living Labs, Health Living Labs, Education Living Labs, or Social Living Labs will find this book of interest.
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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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This paper describes how an urban commons is established on the Amsterdam market square Plein ’40-’45, to explain how an experimental learning environment can be a living lab for improving collaborative governance arrangements. We detail how this improvement is facilitated by an experimental learning environment that engages stakeholders in a process where practical solutions are developed and systemic obstacles are addressed and redesigned simultaneously. Our study is guided by the research question: How can an experimental learning environment develop practical solutions as a means to address systemic obstacles and improve collaborative governance arrangements?
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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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Background: The importance of clarifying goals and providing process feedback for student learning has been widely acknowledged. From a Self-Determination Theory perspective, it is suggested that motivational and learning gains will be obtained because in well-structured learning environments, when goals and process feedback are provided, students will feel more effective (need for competence), more in charge over their own learning (need for autonomy) and experience a more positive classroom atmosphere (need for relatedness). Yet, in spite of the growing theoretical interest in goal clarification and process feedback in the context of physical education (PE), little experimental research is available about this topic. Purpose: The present study quasi-experimentally investigated whether the presence of goal clarification and process feedback positively affects students’ need satisfaction and frustration. Method: Twenty classes from five schools with 492 seventh grade PE students participated in this quasi-experimental study. Within each school, four classes were randomly assigned to one of the four experimental conditions (n = 121, n = 117, n = 126 and n = 128) in a 2 × 2 factorial design, in which goal clarification (absence vs. presence) and process feedback (absence vs. presence) were experimentally manipulated. The experimental lesson consisted of a PE lesson on handstand (a relatively new skill for seventh grade students), taught by one and the same teacher who went to the school of the students to teach the lesson. Depending on the experimental condition, the teacher either started the lesson explaining the goals, or refrained from explaining the goals. Throughout the lesson the teacher either provided process feedback, or refrained from providing process feedback. All other instructions were similar across conditions, with videos of exercises of differential levels of difficulty provided to the students. All experimental lessons were observed by a research-assistant to discern whether manipulations were provided according to a condition-specific script. One week prior to participating in the experimental lesson, data on students’ need-based experiences (i.e. quantitatively) were gathered. Directly after students’ participation in the experimental lesson, data on students’ perceptions of goal clarification and process feedback, need-based experiences (i.e. quantitatively) and experiences in general (i.e. qualitatively) were gathered. Results and discussion: The questionnaire data and observations revealed that manipulations were provided according to the lesson-scripts. Rejecting our hypothesis, quantitative analyses indicated no differences in need satisfaction across conditions, as students were equally satisfied in their need for competence, autonomy and relatedness regardless of whether the teacher provided goal clarification and process feedback, only goal clarification, only process feedback or none. Similar results were found for need frustration. Qualitative analyses indicated that, in all four conditions, aspects of the experimental lesson made students feel more effective, more in charge over their own learning and experience a more positive classroom atmosphere. Our results suggest that under certain conditions, lessons can be perceived as highly need-satisfying by students, even if the teacher does not verbally and explicitly clarify the goals and/ or provides process feedback. Perhaps, students were able to self-generate goals and feedback based on the instructional videos.
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The authors present the study design and main findings of a quasi-experimental evaluation of the learning efficacy of the Serious Game (SG) 'Hazard Recognition' (HR). The SG-HR is a playable, two-level demonstration version for training supervisors who work at oil and gas drilling sites. The game has been developed with a view to developing a full-blown, game-based training environment for operational safety in the oil and gas industry. One of the many barriers to upscaling and implementing a game for training is the questioned learning efficacy of the game. The authors therefore conducted a study into the game's learning efficacy and the factors that contribute to it. The authors used a Framework for Comparative Evaluation (FCE) of SG, and combined it with the Kowalski model for Hazard Detection and the Noel Burch competence model. Four experimental game sessions were held, two involving 60 professionals working in the oil and gas industry, and two with engineering students and consultants. Relevant constructs were operationalized and data were gathered using pre and post-game questionnaires. The authors conclude that the SG-HR improves players' skills and knowledge on hazard detection and assessment, and it facilitates significant learning efficacy in this topic. The FCE proved very helpful for setting up the evaluation and selecting the constructs.
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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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Evaluation of the effect of Problem Based Learning course
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Fysieke onderwijsruimtes worden niet alleen anders ingericht in het kader van de gewenste flexibiliteit in de onderwijsvormgeving, ook de beschikbare technologie wordt in die ruimtes belangrijker. Daarmee ontstaan nieuwe learning spaces in instituten voor hoger onderwijs die ook nieuwe mogelijkheden bieden voor het vormgeven van een grote variatie aan onderwijsleerpraktijken. Het verkennend onderzoek had als doel het in kaart brengen van de ontwikkelingen in Nederlandse hoger onderwijs met betrekking tot technologierijke learning spaces, en inzicht krijgen in het gebruik van deze technologierijke learning spaces in een aantal instituten die er gebruik van maken. Een van de inzichten uit het onderzoek is de indeling in vier verschillende typen op basis van het gebruik van de ruimte. In dit document zijn de uitkomsten van het onderzoek beknopt en visueel weergegeven.
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