Professional development of teacher educators is an important topic, because teacher educators need to maintain and enhance their expertise in order to educate our future teachers (Kools & Koster, n.d. ; Dengerink, Lunenberg & Kools, 2015). How do teacher educators fulfil this task, especially within the hectic timeframe of everyday work? I asked four colleges to participate in a group to share their experiences, actions or behaviour in the organisation about their development in their profession of being a teacher educator. My purpose is to bring awareness and movement into that group. My research focusses on teacher educators in a large teacher education department in the Netherlands and the opportunities for action available to them. During this study we are currently creating a learning environment in which mutual cooperation increases the learning potential of all participants. In this group participants take or make time to learn, giving words to their scopes . Researcher and participants discuss and explore on the basis of equality, reciprocity and mutual understanding. By deploying methods borrowed from ‘Appreciative Inquiry’(Massenlink et al., 2008) the enthusiasm of a study group is raised and the intrinsic motivation of the participants stimulated. Our study group will convene three times. Its goal is to stimulate cooperation among teacher educators through optimisation of existing qualities, a method that could be described as empowerment, or a process of collective reinforcement ‘To learn’ involves experiencing that what one does really matters, as well as developing one’s own persona in the local community. Intervention, action, reflection and study group meetings alternate in the course of our research. In addition to audio and video recordings, data consists of reports drawn up on the basis of member checks. Data is analysed qualitatively by coding the interview texts and reports. After applying the codes, the researcher discusses the coding in a research group and with the participants of the study group (membercheck). Working collaboratively can offer learning challenges that catalyse growth as a professional, teacher educators become acquainted and approach each other from the perspective of their respective professional and functional responsibilities. This study offers perspectives for other teacher educators to recognize these possibilities in their own situation. Moreover the study offers a description of a way to organise collegial exchange. The research is related to the RDC professional development of teacher educators.
Background: Although physical activity (PA) has positive effects on health and well-being, physical inactivity is a worldwide problem. Mobile health interventions have been shown to be effective in promoting PA. Personalizing persuasive strategies improves intervention success and can be conducted using machine learning (ML). For PA, several studies have addressed personalized persuasive strategies without ML, whereas others have included personalization using ML without focusing on persuasive strategies. An overview of studies discussing ML to personalize persuasive strategies in PA-promoting interventions and corresponding categorizations could be helpful for such interventions to be designed in the future but is still missing. Objective: First, we aimed to provide an overview of implemented ML techniques to personalize persuasive strategies in mobile health interventions promoting PA. Moreover, we aimed to present a categorization overview as a starting point for applying ML techniques in this field. Methods: A scoping review was conducted based on the framework by Arksey and O’Malley and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) criteria. Scopus, Web of Science, and PubMed were searched for studies that included ML to personalize persuasive strategies in interventions promoting PA. Papers were screened using the ASReview software. From the included papers, categorized by the research project they belonged to, we extracted data regarding general study information, target group, PA intervention, implemented technology, and study details. On the basis of the analysis of these data, a categorization overview was given. Results: In total, 40 papers belonging to 27 different projects were included. These papers could be categorized in 4 groups based on their dimension of personalization. Then, for each dimension, 1 or 2 persuasive strategy categories were found together with a type of ML. The overview resulted in a categorization consisting of 3 levels: dimension of personalization, persuasive strategy, and type of ML. When personalizing the timing of the messages, most projects implemented reinforcement learning to personalize the timing of reminders and supervised learning (SL) to personalize the timing of feedback, monitoring, and goal-setting messages. Regarding the content of the messages, most projects implemented SL to personalize PA suggestions and feedback or educational messages. For personalizing PA suggestions, SL can be implemented either alone or combined with a recommender system. Finally, reinforcement learning was mostly used to personalize the type of feedback messages. Conclusions: The overview of all implemented persuasive strategies and their corresponding ML methods is insightful for this interdisciplinary field. Moreover, it led to a categorization overview that provides insights into the design and development of personalized persuasive strategies to promote PA. In future papers, the categorization overview might be expanded with additional layers to specify ML methods or additional dimensions of personalization and persuasive strategies.
Processes of collective learning are expected to increase the professionalism of teachers and school leaders. Little is known about the processes of collective learning which take place in schools and about the way in which those processes may be improved. This paper describes a research into processes of collective learning at three primary schools. Processes of collective learning are described which took place in small teams in these schools. It is also pointed out which attempts can be made in order to reinforce these processes in the schools mentioned.
