Het doel is om de meest impactvolle AI-toepassingen en competenties van de AI-ready persona een plek te geven binnen het curriculum. Letterlijk: Middels een roadmap maak je visueel inzichtelijk waar (laagdrempelige) veranderingen mogelijk zijn binnen het fundament van het curriculum, en formuleer je …

Artificial intelligence and big data analytics are ushering in a transformative era in healthcare, fundamentally changing our approach to public health. These technologies enable healthcare providers to move from reactive to preventive care, analyze vast amounts of medical data in real time, and deliver …

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 …

Van 23 tot en met 25 juni 2025 kwamen in Dublin ruim 130 onderzoekers, beleidsmakers en onderwijsprofessionals uit 29 landen bijeen tijdens EDUsummIT 2025. Het centrale thema, Designing Education Ecosystems for the Future: The Role of Digital Technologies, vormde het uitgangspunt voor intensieve samenwerking …

The integration of Artificial Intelligence (AI) into peer learning has gained significant attention with demonstrated benefits in offering an overview of student characteristics, learning environment conditions, learning processes, learning outcomes, and their interplay constituting AI-supported peer …

"Teachers in vocational education are increasingly expected to integrate digital tools into their didactic practices and to engage in continuous professional development. At ROC Midden Nederland, this process takes shape within the AI Lab — a practice-based research environment where teachers explore …

Emergency responders (ERs) work in dynamic, complex, and unpredictable environments. The integration of increasingly advanced sensor and artificial intelligence technology affects the work processes and decision-making of ERs and leads to new challenges regarding efficient and responsible human-AI cooperation. …

This thesis explores how organizations can build stronger trust and transparency in AI-driven marketing. It examines customer concerns around data use, personalization, and algorithmic decision-making, and identifies practices that make AI more understandable, fair, and responsible. Through interviews …

As artificial intelligence (AI) reshapes hiring, organizations increasingly rely on AI-enhanced selection methods such as chatbot-led interviews and algorithmic resume screening. While AI offers efficiency and scalability, concerns persist regarding fairness, transparency, and trust. This qualitative …

Het is inmiddels breed geaccepteerd dat beslissingen die door AI-systemen worden genomen, uitlegbaar moeten zijn aan hun gebruikers. Toch blijft het in de praktijk vaak onduidelijk hoe die uitlegbaarheid concreet vorm moet krijgen. Vooral voor niet-technische gebruikers, zoals scha-debeoordelaars bij …