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Navigating dilemmas in designing digital open badges for sustainability teachers.

Quality in teaching and teacher education

The purpose of this final chapter is twofold: (1) to provide the synthesis of learnings on quality in teaching and teacher education on the basis of the analysis and discussion of the fourteen chapters collected in this monograph, and (2) to discuss implications for future research on quality in teaching and teacher education, policy and practice. In so doing, we ask: What do we know about quality in teaching and teacher education from the collected chapters and how can these findings inform future research, policy and practice in these areas? In order to answer these questions, the chapter is divided into five main parts. In the first part we identify a call that is present in all chapter: to move beyond a reductionist notion of education. In the second part we recognize the growing attention for teaching quality both as a blessing and a burden. In the third part we identify seven key dilemmas that arise from the different chapters. Next we use these dilemmas to identify implications for teacher education practice, policy and research. We conclude this chapter with some final reflections.

Series: Practical guidance to qualitative research

In the course of our supervisory work over the years, we have noticed that qualitative research tends to evoke a lot of questions and worries, so-called frequently asked questions (FAQs). This series of four articles intends to provide novice researchers with practical guidance for conducting high-quality qualitative research in primary care. By ‘novice’ we mean Master’s students and junior researchers, as well as experienced quantitative researchers who are engaging in qualitative research for the first time. This series addresses their questions and provides researchers, readers, reviewers and editors with references to criteria and tools for judging the quality of qualitative research papers. The second article focused on context, research questions and designs, and referred to publications for further reading. This third article addresses FAQs about sampling, data collection and analysis. The data collection plan needs to be broadly defined and open at first, and become flexible during data collection. Sampling strategies should be chosen in such a way that they yield rich information and are consistent with the methodological approach used. Data saturation determines sample size and will be different for each study. The most commonly used data collection methods are participant observation, face-to-face in-depth interviews and focus group discussions. Analyses in ethnographic, phenomenological, grounded theory, and content analysis studies yield different narrative findings: a detailed description of a culture, the essence of the lived experience, a theory, and a descriptive summary, respectively. The fourth and final article will focus on trustworthiness and publishing qualitative research.

In and out domains

The implementation of games in architecture and urban planning has a long history since the 1960s and is still a preferential tool to foster public participation and address contemporary spatial-and social-conflicts within the urban fabric. Moreover, in the last decade, we have seen the rise of urban play as a tool for community building, and city-making and Western society is actively focusing on play/playfulness-together with ludic dynamics and mechanics-as an applied methodology to deal with complex challenges, and deeper comprehend emergent situations. In this paper, we aim to initiate a dialogue between game scholars and architects through the use of the PLEX/CIVIC framework. Like many creative professions, we believe that architectural practice may benefit significantly from having more design methodologies at hand, thus improving lateral thinking. We aim at providing new conceptual and operative tools to discuss and reflect on how games facilitate long-Term planning processes and help to solve migration issues, allowing citizens themselves to take their responsibility and contribute to durable solutions.

How do runners experience personalization of their training scheme

Among runners, there is a high drop-out rate due to injuries and loss of motivation. These runners often lack personalized guidance and support. While there is much potential for sports apps to act as (e-)coaches to help these runners to avoid injuries, set goals, and maintain good intentions, most available running apps primarily focus on persuasive design features like monitoring, they offer few or no features that support personalized guidance (e.g., personalized training schemes). Therefore, we give a detailed description of the working mechanism of Inspirun e-Coach app and on how this app uses a personalized coaching approach with automatic adaptation of training schemes based on biofeedback and GPS-data. We also share insights into how end-users experience this working mechanism. The primary conclusion of this study is that the working mechanism (if provided with accurate data) automatically adapts training sessions to the runners’ physical workload and stimulates runners’ goal perception, motivation, and experienced personalization. With this mechanism, we attempted to make optimal use of the potential of wearable technology to support the large group of novice or less experienced runners and that by providing insight in our working mechanisms, it can be applied in other technologies, wearables, and types of sports.

Three complementary frameworks to capture student peer discussion in problem solving

Peer discussions play a major role in students’ collaborative problem-solving activity. These discussions provide researchers and teachers with a wealth of information about the students' reasoning. To analyse such discussions, different theoretical lenses are available, such as Schoenfeld’s problem solving model, the Florida Taxonomy of Cognitive Behaviour, and the Scheme for Educational Dialogue Analysis. The question is, however, how these three perspectives can complement each other. To investigate this, the discussion between four students was analysed through the three lenses. Results indicate that these frameworks are both complementary and connected. This connection allows an in-depth analysis of the discussion and reveals possibilities and limitations for an integration of the three models, which will guide future discussions’ analyses in our study.