Het onderzoek richt zich op de behoefte aan interdisciplinaire, praktijkgerichte en maatschappelijk geëngageerde leermodellen om klimaatgerelateerde wateruitdagingen aan te pakken. Het traditionele onderwijs schiet vaak tekort bij het toerusten van jonge waterprofessionals met de nodige praktische, interdisciplinaire …

Cities and communities are central arenas for the global sustainability transition, and Education for Sustainable Development (ESD) is increasingly recognised as a key lever for the long-term societal learning this transition requires. Yet there is no systematic, transparent way to assess whether municipal …

The maritime industry faces increasing demands for continuous professional development due to rapid technological advancements, evolving safety regulations, and the need for a proactive safety culture (Caesar, 2023; Parviainen et al., 2018). Yet, seafarers often encounter barriers such as long working …

Eco-criticism, emerging in literary studies in the 1970s, argued for a critical engagement with environmental threats beyond the nature-culture dichotomy. Today, eco-critical thinking is omnipresent. But how can students be prepared for eco-critical research, which invites interdisciplinarity, multispecies …

Purpose: To suggest how business schools can respond when generative AI automates routine, entry-level tasks and erodes early-career opportunities. The paper addresses a focused question: What can a business school do when graduates’ entry-level jobs are replaced or reconfigured by AI? Approach: This …

Industrial Cyber-Physical Systems (CPS) are sensitive infrastructure from both safety and economics perspectives, making their reliability critically important. Machine Learning (ML), specifically deep learning, is increasingly integrated in industrial CPS, but the inherent complexity of ML models results …

By addressing the sub-research questions, the main research question and data mining goal were answered. Drought tolerance can be quantified using yield loss between control and drought treatments and robustly assessed by ranking varieties within each year. Varieties that consistently rank high or low …

Reinforcement learning offers a promising approach for personalized, early-stage detection of behavioral events such as agitation in individuals with dementia, particularly when contextual insights from care staff are integrated. Given the scarcity and the ethical constraints of real-world agitation …

This paper presents a conceptual model for creating digital educational games that aim to reduce mathematics anxiety (MA) and promote positive emotional engagement in mathematics education. No empirical data were collected or analyzed; the proposed model is based on a synthesis of theory and empirical …

In this study, eye-tracking and deep learning are employed to classify pilot experience during a twin-engine Piper Seneca flight simulator based on the potential to enhance aviation training and safety through the integration of human cognitive behaviors with artificial intelligence to optimize inter-cognitive …