The HRM study program of The Hague University of Applied Sciences (THUAS) recently replaced classical, module-based education by so-called learning landscapes in which students approach complex problems by interdisciplinary learning activities. Teachers collaborate in multi-disciplinary teams that have a shared responsibility to support students as well as to innovate their education. This new way of organizing educational processes not only need to strengthen the learning ability and flexibility of students, but also the learning and innovation ability of teachers. Our exploratory research among teachers showed that this new way of working increased their job satisfaction. However, teachers experience difficulties in implementing their ideas, which is an important precondition for sustainable educational innovation. In our research we addressed the question whether the new working context of teachers supported innovation. The organizational structure as described in this case study is characterized by a high degree of autonomy for the teachers who collaborate in multidisciplinary teams, in which the management rewards innovative behaviour and facilitates where possible. Given the fact that this context incorporates a high number of elements that are known to facilitate innovation, the assumption was that teachers would experience that this context was supporting them to innovate. We evaluated whether this was indeed the case in their educational innovation. Our research shows that in general teachers positively evaluate the new working context. They experience the renewal process to contribute to their job satisfaction and feel supported by the management. A large majority of the teachers, partly as a result of this new working context, do have many ideas to renew the education. Even though they use multiple sources to generate ideas, they are mainly inspired by the needs of students and the occupational practice. Especially by sharing their ideas with others, they enrich their ideas. For the implementation of their ideas they specifically focus on creating buy-in, mentioned in two-thirds of the storyboards, with activities such as seeking allies, communicating the idea to others and ‘drinking lots of coffee’. In addition, experiments help to make their ideas more visible.
In Multiple Choice tests several alternative answers are given for each question. The candidate must pick one of these alternatives as the correct answer. This type of test can be scored rapidly and objectively. However, a major disadvantage is that there is no way of telling what grounds the candidate had for his choice. Was he quite certain, or doubtful, or was it a blind guess? For a reasonably reliable test, therefore, many items are required. The same questions and alternative answers can be used for Multiple Evaluation testing. For each alternative, however, the candidate indicates his personal probability that this is the correct answer. "I think that A and B are definitely wrong, 0% likelihood. But it's a toss-up between C and D: both 50%, as far as I am concerned". A candidate must give 'honest' answers to maximise his score. Gambling is discouraged, since that leads to lower scores. This system provides more information about the candidate's knowledge, and tends to eliminate gambling. As a result, less questions are required for a reliable test. Earlier experimental research at a primary and secondary school gave promising results. After further development, this method was implemented in a practical educational environment: the electronics faculty of a polytechnic. It was found that the test lengths could be reduced to a quarter, for the same reliability as multiple choice tests. Furthermore, the students themselves reported that they consider the method fairer and better than traditional multiple choice.
Many studies report changes taking place in the field of higher education, changes which present considerable challenges to educational practice. Educational science should contribute to developing design guidance, enabling practitioners to respond to these challenges. Design patterns, as a form of design guidance, show potential since they promise to facilitate the design process and provide common ground for communication. However, the potential of patterns has not been fully exploited yet. We have proposed the introduction of a task conceptualization as an abstract view of the concept chosen as central: the task. The choice of the constituting elements of the task conceptualization has established an analytical perspective for analysis and (re)design of (e)learning environments. One of the constituting elements is that of ‘boundary objects’, which has added a focus on objects facilitating the coordination, alignment and integration of collaborative activities. The presented task conceptualization is deliberately generic in nature, to ease the portability between schools of thought and make it suitable for a wide target audience. The conceptualization and the accompanying graphical and textual representations have shown much promise in supporting the process of analysis and (re)design and add innovative insights to the domain of facilitating the creation of design patterns.
A unique testing ground where the creative sector and education work together to better understand the possibilities around volumetric video capturing. Within a volumetric studio, dozens of cameras capture all the movements of a living subject simultaneously. These recordings are converted into a fully moving and digital image, which results in an image that is barely distinguishable from reality. Chronosphere gives content creators and scientists the unique opportunity to experiment with volumetric capturing, using the newest volumetric studio within De Effenaar. There is room for a total of twenty projects, and proposals can be submitted.Partners:De Effenaar 4DR Studios Wildvreemd Natlab 360 verbeelding Dutch Rose Media Hyperspace Institute Fontys Hogescholen TU/e Center for Humans & Technology
The DALI project is carried out under the flag of Logistics Community Brabant. DALI is a testing ground aimed at lifting datafication in the logistics sector of the south of the Netherlands to a higher level, consequently future-proofing the sector.DALI focuses on developing knowledge-intensive logistics (smart logistics): devising, developing, demonstrating and applying new logistics working methods. The project’s aim is to create higher added value, increase the efficiency of goods flow handling, and maintain our international market position.Within DALI, 18 companies are carrying out cases in the area of datafication. The findings from the business cases are translated into generic applications for the logistics and supply chain sector and education. In addition, they are developing a community of data and logistics specialists.Partners:LCB, Gemeenten Breda en Tilburg, REWIN, Midpoint Brabant, Ministerie van Economische Zaken en Klimaat, Rijksoverheid, Provincie Noord-Brabant, Regio West-Brabant, Regio Hart van Brabant.In Dutch:Proeftuin van logistieke innovatie. DALI is een project waarin 18 bedrijven pilots uitvoeren om met datatoepassingen processen in de logistiek en supply chain te verslimmen. Vanuit deze pilots worden generieke toepassingen en tools op het gebied van data ontwikkeld voor MKB-bedrijven en het onderwijs.
Entangled Machines is a project by Mariana Fernández Mora that interrogates the colonial and extractive legacies underpinning artificial intelligence (AI). By introducing slowness and digital kinship as critical frameworks, the project reconceptualises AI as embedded within intricate social and ecological networks, thereby contesting dominant narratives of efficiency and optimisation. Through participatory, practice-based methodologies such as the Material Playground, the project integrates feminist and non-Western epistemologies to articulate alternative models for ethical, sustainable, and equitable AI practices. Over a four-year period, Entangled Machines develops theory, engages diverse communities, and produces artistic outputs to reimagine human-AI interactions. In collaboration with partners including ARIAS Amsterdam, Archival Consciousness, and the Sandberg Institute, the research seeks to foster decolonial and interdisciplinary approaches to AI. Its culmination will be an “Anarchive” – a curated assemblage of artistic, theoretical, and archival outputs – that serves as a resource for rethinking AI’s socio-political and ecological impacts.
