The research group Teaching, Learning & Technology investigates the didactic use of technology in learning processes. In doing so, it looks at themes such as flexibilisation, personalised learning, activating didactics and the effects of the use of technology in educational practice, particularly in higher vocational education. What had not been investigated so far was whether previously conducted research had a demonstrable impact on educational practice. This study is the first phase in providing insight into the impact of research carried out by the Teaching, Learning & Technology (TLT) research group of Inholland University of Applied Sciences. It looks at research carried out between 2010 and 2021. The objective is to describe how impact factors that can be influenced in previous research have been shaped. On the basis of this description, it may be possible to make recommendations to the research group with which the impact of the research it conducts in relation to these factors can be increased. The research question is: How do stakeholders describe the impact of research carried out by the research group Teaching, Learning & Technology in relation to the impact factors that can be influenced with regard to the research, the dissemination and the user value (experienced)? In order to answer this research question, we used a convergent mixed methods design, in which a new conceptual model served as the basis for the analysis of data from the field research. Three types of data were collected, namely a qualitative document analysis (N=31), a survey (N=6) and semi-structured interviews with survey participants (N=4). The study revealed that stakeholders mainly point to the researcher as the primary source of impact. Impact begins and ends with the researcher, especially in the extent to which he or she makes an effort to make the research relevant and in line with questions from the educational practice. We have listed a number of recommendations with regard to the way in which impact can be achieved in future research. These recommendations are mainly aimed at the way in which researchers of the research group can pay attention in a structured way to the design of the collaboration and to the concrete visualisation of expectations and intended impact at an early stage.
Vertical urbanisation is perceived as necessary to accommodate a growing population but is associated with severe risks for human well-being. It requires a profound understanding of how archi-tectural designs can ensure visually readable and liveable environments before it has been built. How-ever, current digital representation techniques fail to address the diverse interests of non-experts. Emerging biometric technologies may deliver the missing user information to involve (future) inhabit-ants at different stages of the planning process. The study aims to gain insight into how non-experts (visually) experience 3D city visualizations of designed urban areas. In two laboratory studies, univer-sity students were randomly assigned to view a set of the same level of detail images from one of two planned urban area developments in the Netherlands. Using eye-tracking technology, the visual behav-iour metrics of fixation count and duration and general eye-movement patterns were recorded for each image, followed by a short survey. The results show how visual behaviour and perception are remark-ably similar across different detail levels, implying that 3D visualizations of planned urban develop-ments can be examined by non-experts much earlier in the design process than previously thought.
Over the past few years the tone of the debate around climate change has shifted from sceptical to soberingly urgent as the global community has prioritised the research into solutions which will mitigate greenhouse gas emissions. So far this research has been insufficient. One of the major problems for driving public and private stakeholders to implement existing solutions and research new ones is how we communicate about climate change (Stoknes, 2014). There seems to be a lack of common language that drives the scientific community away from policymakers and the public. Due to this lack, it is hard to translate findings into viable and sustainable solutions and to adopt new climate-neutral economies and habits.
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