Adequate and sufficient education and training opportunities for medical imaging professionals, such as radiographers, are essential to ensure safe and effective use of artificial intelligence (AI)-based applications in radiology. This study aimed to (1) map the thoughts of radiographers regarding the …

Background: As more and more older adults prefer to stay in their homes as they age, there’s a need for technology to support this. A relevant technology is Artificial Intelligence (AI)-driven lifestyle monitoring, utilizing data from sensors placed in the home. This technology is not intended to replace …

Many students persistently misinterpret histograms. This calls for closer inspection of students’ strategies when interpreting histograms and case-value plots (which look similar but are diferent). Using students’ gaze data, we ask: How and how well do upper secondary pre-university school students estimate …

Citizens regularly search the Web to make informed decisions on daily life questions, like online purchases, but how they reason with the results is unknown. This reasoning involves engaging with data in ways that require statistical literacy, which is crucial for navigating contemporary data. However, …

New Virtual Care Centers (VCCs) within hospitals utilize information technology to remotely monitor and support patients with chronic diseases living at home. Nurses play a crucial role by providing remote coaching and guidance to help patients manage their conditions. Currently, there is a growing understanding …

Clinical Decision Support Systems (CDSS) are increasingly developed for hospital nursing practice, yet their impact on decision-making, workflow efficiency, and patient outcomes remains complex. This rapid review synthesizes findings from 21 studies, highlighting both the benefits and challenges of CDSS …

Clinical decision support systems (CDSSs) have gained prominence in health care, aiding professionals in decision-making and improving patient outcomes. While physicians often use CDSSs for diagnosis and treatment optimization, nurses rely on these systems for tasks such as patient monitoring, prioritization, …

This study explores how a pre-service mathematics teacher interprets eye-tracking data to diagnose students’ reasoning when working with histograms. Using a qualitative case study design, the participant engaged with an eye-tracking vignette, featuring a student’s gaze plot, answer, and cued recall explanation. …

In this paper, we draw on our subjective experiences as Early Career Academics (ECAs) at a Dutch University to demonstrate our complex relationship between academic life and parenthood. Building on the sensemaking literature, we employ a collective autoethnography to unveil six distinct new parent scripts …

"While integrating Large Language Models (LLMs) can provide personalised, continuous feedback at scale in large courses, doing so responsibly requires technical accuracy and data privacy. In this study, we present an on-premises, privacy-preserving chatbot tutor for a university course that focuses on …