This paper reports on the first stage of a research project1) that aims to incorporate objective measures of physical activity into health and lifestyle surveys. Physical activity is typically measured with questionnaires that are known to have measurement issues, and specifically, overestimate the amount …

Software developer OVSoftware seeks to improve the speed and quality of their testing suites using Machine Learning. This paper aims to research the possibilities of using Machine Learning for unit test generation within OVSoftware. By determining the performance indicators that indicate test quality, …

Several studies found that classrooms' indoor environmental quality (IEQ) can positively influence in-class activities. Understanding and quantifying the combined effect of four indoor environmental parameters, namely indoor air quality and thermal, acoustic, and lighting conditions on people is essential …

In the context of rapidly growing numbers of university students reporting that they have experienced mental health problems, this paper argues that doing research as an undergraduate can contribute to student well-being. Although the benefits of undergraduate research are well documented, underlying …

Biomimicry is an emerging discipline that seeks nature’s advice and brings diverse stakeholders together to create designs that emulate the way nature functions, not just the way it looks. The field itself is a multidisciplinary endeavor, yet biomimicry educators frequently work alone. Pedagogical methods …

In March 2020 schools in The Netherlands closed to contain the spread of Covid-19 virus. Shortly after, schools took to online education. The condensed setting of the Covid-19 situation provided a background to study which learning activities and tools teachers choose in online education and how they …

Objective:  The participation of students from both undergraduate medical education (UGME) and postgraduate medical education (PGME) in independent patient care contributes to the development of knowledge, skills and the professional identity of students. A continuing collaboration between students and …

Key to reinforcement learning in multi-agent systems is the ability to exploit the fact that agents only directly influence only a small subset of the other agents. Such loose couplings are often modelled using a graphical model: a coordination graph. Finding an (approximately) optimal joint action for …

Since decades, nursing education struggles with a persistent gap between the theoretical knowledge offered in the study program and its application in professional practice. To bridge this gap competence-based curricula were developed with instructional designs as authentic learning contexts and self-directed …

This chapter discusses how to build production-ready machine learning systems. There are several challenges involved in accomplishing this, each with its specific solutions regarding practices and tool support. The chapter presents those solutions and introduces MLOps (machine learning operations, also …