This paper reviews the use of video technologies in teacher education, focusing onhow they enhance collaborative learning and knowledge building. The review follows thePRISMA methodology and analyzes 35 peer-reviewed papers published in English between2000 and 2023. Three main video modalities of use …

Recent advances in digital technologies profoundly influence our daily lives and work. While enabling solutions to societal issues, these technologies also demand new knowledge and skills from professionals. An increasingly common way for organizations to address this issue is to set up learning communities …

Citizen science can be a powerful approach to foster the successful implementation of technological innovations in health, care or well-being. Involving experience experts as co-researchers or co-designers of technological innovations facilitates mutual learning, community building, and empowerment. …

Bumping Elbows explores a workflow integrating 3D body scanning technology with robotic knitting to create personalized garments. Traditional 3D knitting development relies on 2D drafts and panels, rooted in industrial flatbed knitting practices. Our approach leverages accurate topology measurements …

Across Dutch municipalities, unusual collaborative initiatives emerge that aim to stimulate the creation of value from municipal waste resources. Circular economy literature proposes that experimentation competences are important for developing initiatives towards circular business models and a wide …

From September 2024 onwards we will start the development of an educational innovation for Dutch primary schools to design a dynamic school day (a school day in which sedentary learning is regularly interrupted by moments of physical activity) for their local context. A number of Dutch primary schools …

A core principle of privacy protection is to minimize the amount of personal data in data sets to the level needed for the intended usage. The rapid growth of data and data-driven applications demands for using efficient software tools to minimize personal data to the needed level. However, applying …

Organizations feel an urgency to develop and implement applications based on foundation models: AI-models that have been trained on large-scale general data and can be finetuned to domain-specific tasks. In this process organizations face many questions, regarding model training and deployment, but also …

One aspect of a responsible application of Artificial Intelligence (AI) is ensuring that the operation and outputs of an AI system are understandable for non-technical users, who need to consider its recommendations in their decision making. The importance of explainable AI (XAI) is widely acknowledged; …

In this paper, we explore the design of web-based advice robots to enhance users' confidence in acting upon the provided advice. Drawing from research on algorithm acceptance and explainable AI, we hypothesise four design principles that may encourage interactivity and exploration, thus fostering users' …