Multilevel models using logistic regression (MLogRM) and random forest models (RFM) are increasingly deployed in industry for the purpose of binary classification. The European Commission’s proposed Artificial Intelligence Act (AIA) necessitates, under certain conditions, that application of such models …

We investigate how interactive representations can be used to support learners while learning about the circular motion of celestial bodies. We present the developed representation and accompanying lesson, and report on the effect.

The challenges facing primary education are significant: a growing teacher shortage, relatively high administrative burdens that contribute to work-related stress and an increasing diversity of children in the classroom. A promising new technology that can help teachers and children meet these challenges …

Artificial Intelligence (AI) promises to solve challenges both in the private and public sector. In industry, for example, future accountants and marketeers will share their day-to-day tasks with AI bots. In the public sector, AI could help governments to act more quickly in crisis situations or anticipate …

The increasing use of AI in industry and society not only expects but demands that we build human-centred competencies into our AI education programmes. The computing education community needs to adapt, and while the adoption of standalone ethics modules into AI programmes or the inclusion of ethical …

Data-driven modeling is an imperative tool in various industrial applications, including many applications in the sectors of aeronautics and commercial aviation. These models are in charge of providing key insights, such as which parameters are important on a specific measured outcome or which parameter …

Recently, the job market for Artificial Intelligence (AI) engineers has exploded. Since the role of AI engineer is relatively new, limited research has been done on the requirements as set by the industry. Moreover, the definition of an AI engineer is less established than for a data scientist or a software …

Digitalization is the core component of future development in the 4.0 industrial era. It represents a powerful mechanism for enhancing the sustainable competitiveness of economies worldwide. Diverse triggering effects shape future digitalization trends. Thus, the main research goal in this study is …

Multilevel models (MLMs) are increasingly deployed in industry across different functions. Applications usually result in binary classification within groups or hierarchies based on a set of input features. For transparent and ethical applications of such models, sound audit frameworks need to be developed. …