Accurate and reliable decision-making in the criminal justice system depends on accurate expert reporting and on the correct interpretation of evidence by the judges, prosecutors, and defense lawyers. The present study aims to gain insight into the judiciary's capability to assess the accuracy and reliability …

The tourism industry is a major economic sector worldwide, significantly contributing to job creation and GDP growth. However, the rapid expansion of this industry, along with rising environmental and social concerns, underscores the critical need for sustainable strategies. This paper presents a novel …

Building on the metaphor of teachers as “knowing locations,” this contribution explores how teachers impact the socio-material learning environments. We illustrate how they influence teaching/learning making by zooming into two distinct settings: secondary school educational labs (E-labs) and art academy …

Mathematics anxiety is a well-documented phenomenon affecting students' learning experiences, engagement, and long-term career choices. This research is part of a wider effort to mitigate and prevent mathematics anxiety through the development of a digital learning game, supported by a follow-up teacher …

Background Stroke is a major cause of disability globally, with high recurrence rates despite the implementation of secondary prevention strategies. Promoting physical activity and reducing sedentary behaviour are critical to mitigate these risks. Collaborative research approaches, including citizen …

Biodiversity loss is accelerating at an alarming rate, posing significant challenges for sustainability, yet it remains inadequately addressed in business management education. Current sustainability pedagogies in business schools are predominantly anthropocentric, overlooking the biodiversity and extinction …

This paper investigates the role of conversational AI in improving the quality of decision-making across different stages of the process. Drawing on an experimental study involving 113 students in Dutch higher education, participants engaged in a simulated business challenge using three approaches: no …

In het snel evoluerende domein van machine learning is het cruciaal om het meest geschikte model voor een bepaalde dataset te selecteren. Inzicht in de kenmerken van een dataset kan een aanzienlijke invloed hebben op de resultaten van voorspellende modellen, waardoor de studie van de eigenschappen van …

SMEs often operate with limited technical expertise and constrained budgets, making it difficult to implement comprehensive cybersecurity measures. Yet, these businesses play a critical role in the Dutch economy, employing over 70% of the working population and contributing €309 billion annually. Ensuring …

The shift from linear to circular business models is critical for sustainability in the construction and manufacturing sectors in the Netherlands. However, many companies face significant challenges in making this transition, including financial constraints, cultural resistance, and regulatory hurdles, …