Trying to control multiple computers in live performances is a challenging task. Often computers intercommunicate using fixed or manual parameters. However when projects expand across many devices this is hard to maintain. Especially in situations where the parameters tend to change. We propose a new protocol which facilitates flexibility and autonomous setups in an orchestrated environment.
Computational thinking (CT) skills are crucial for every modern profession in which large amounts of data are processed. In K-12 curricula, CT skills are often taught in separate programming courses. However, without specific instructions, CT skills are not automatically transferred to other domains in the curriculum when they are developed while learning to program in a separate programming course. In modern professions, CT is often applied in the context of a specific domain. Therefore, learning CT skills in other domains, as opposed to computer science, could be of great value. CT and domain-specific subjects can be combined in different ways. In the CT literature, a distinction can be made among CT applications that substitute, augment, modify or redefine the original subject. On the substitute level, CT replaces exercises but CT is not necessary for reaching the learning outcomes. On the redefining level, CT changes the questions that can be posed within the subject, and learning objectives and assessment are integrated. In this short paper, we present examples of how CT and history, mathematics, biology and language subjects can be combined at all four levels. These examples and the framework on which they are based provide a guideline for design-based research on CT and subject integration.
Motivating students to actively engage in their studying efforts is an ongoing challenge, because motivation is a key factor in study success. In the work presented here, we investigate whether the use of a mobile app with a teacher-like avatar (StudyGotchi), based on the successful digital pet Tamagotchi, can be deployed to motivate and engage computer science university students in their blended learning programming course. A randomized controlled study was performed which showed mixed results. Lessons learned include (i) better understanding of how to effectively implement the game-mechanics, and (ii) ways to circumvent technical limitations in usage.
The key goal was to further develop, secure and disseminate knowledge and concepts concerning the role of high realism in Virtual Reality. It followed the Digital Media Concept professorship to create and examine the effects of high quality worlds and characters in VR. Key focus was on the effect of high versus low realism in (existing and non-existing) digital environments as well as digital characters and avatars (digital representations of human users) and embodied agents (digital representations of computer programs that have been designed to interact with, or on behalf of, a human). This means on the one hand getting better equipment and skills to digitize and create high realistic avatars in VR. And on the other hand this means that a better understanding of the concept of realism and quality is needed. This encompasses a whole range of terms that varies from realistic resemblance, to high fidelity appearance and (real-time interactive and authentic) behaviour based on high AI programming. Research showed that very important is congruency in realism between elements within a VR world. Furthermore it showed that high realism is not always needed to stimulate ‘real’ (VR) behaviour. High immersive experiences and impulse behaviour also functions in virtual environments that have lower levels of realism. Studies have been conducted within the field of health, entertainment, advertising, architecture and journalism. An example is the VR game Descend, see link (used to examine the effect of realism through resemblance).Partners: Radboud University, Enversed, Stanford University, University of Oregon, Cornell University, several companies
