A considerable amount of literature on peer coaching suggests that the professional development of teachers can be improved through experimentation, observation, reflection, the exchange of professional ideas, and shared problem-solving. Reciprocal peer coaching provides teachers with an opportunity to engage in such activities in an integrated form. Even though empirical evidence shows effects of peer coaching and teacher satisfaction about coaching, the actual individual professional development processes have not been studied extensively. This article offers a way to analyze and categorize the learning processes of teachers who take part in a reciprocal peer coaching trajectory by using the Interconnected Model of Teacher Professional Growth as an analytical tool. Learning is understood as a change in the teacher's cognition and/or behavior. The assumption underlying the Interconnected Model of Teacher Professional Growth is that change occurs in four distinct domains that encompass the teacher's professional world: the personal domain, the domain of practice, the domain of consequence and the external domain. Change in one domain does not always lead to change in another, but when changes over domains do occur, different change patterns can be described. Repeated multiple data collection methods were used to obtain a rich description of patterns of change of four experienced secondary school teachers. The data sources were: audiotapes of coaching conferences, audiotapes of semi-structured learning interviews by telephone, and digital diaries with teacher reports of learning experiences. Qualitative analysis of the three data sources resulted in two different types of patterns: including the external domain and not including the external domain. Patterns of change within a context of reciprocal peer coaching do not necessarily have to include reciprocal peer coaching activities. When, however, patterns do include the external reciprocal peer coaching domain, this is often part of a change process in which reactive activities in the domains of practice and consequence are involved as well. These patterns often demonstrate more complex processes of change.
The purpose of this study was to explore the experiences and impact of peer-to-peer shadowing as a technique to develop nurse middle managers’ clinical leadership practices. A qualitative descriptive study was conducted to gain insight into the experiences of nurse middle managers using semi-structured interviews. Data were analysed into codes using constant comparison and similar codes were grouped under sub-themes and then into four broader themes. Peer-to-peer shadowing facilitates collective reflection-in-action and enhances an “investigate stance” while acting. Nurse middle managers begin to curb the caring disposition that unreflectively urges them to act, to answer the call for help in the here and now, focus on ad hoc “doings”, and make quick judgements. Seeing a shadowee act produces, via a process of social comparison, a behavioural repertoire of postponing reactions and refraining from judging. Balancing the act of stepping in and doing something or just observing as well as giving or withholding feedback are important practices that are difficult to develop.
To examine the association of adolescents' snack and soft drink consumption with friendship group snack and soft drink consumption, availability of snacks and soft drinks at school, and personal characteristics, snack and soft drink consumption was assessed in 749 adolescents (398 girls, 351 boys, age 12.4 - 17.6 years), and their friends, and snack and soft drink availability at schools was measured. In regression analysis, consumption by friends, snack and soft drink availability within school, and personal characteristics (age, gender, education level, body mass index) were examined as determinants of snack and drink consumption. Snack and soft drink consumption was higher in boys, soft drink consumption was higher in lower educated adolescents, and snack consumption was higher in adolescents with a lower body weight. Peer group snack and soft drink consumption were associated with individual intake, particularly when availability in the canteen and vending machines was high. The association between individual and peer snack consumption was strong in boys, adolescents with a lower education level, and adolescents with lower body weights. Our study shows that individual snack and soft drink consumption is associated with specific combinations of consumption by peers, availability at school, and personal characteristics.
Within the food industry there is a need to be able to rapidly react to changing regulatory requirements and consumer preferences by adjusting recipes, processes, and products. A good knowledge of the properties of food ingredients is crucial in this process. Currently this knowledge is available in scattered heterogeneous resources such as scientific peer-reviewed articles, databases, recipes, food blogs as well as in the experience of food-experts. This prevents, in practice, the efficient integration and use of this knowledge, leading to inefficiency and missed opportunities. In this project we will build a structured database of properties of food ingredients, focusing in particular on the taste and texture properties. By large-scale collection and text mining on a large number of textual resources, a comprehensive data set on ingredient properties will be created, along with knowledge on the relationships between these ingredients. This database will then be used for to find new potential applications for healthy and taste enhancing ingredient combinations by network-based discovery methods and artificial intelligence algorithms will be used. A concrete focus will be on application questions formulated by the industrial partners. The resulting hypothesis will be validated in a real life setting at the premises of the industrial partners. The deliverables of this project will be: - A reusable open-access ingredient database that is accessible via a user-friendly web portal - A set of state-of-the-art mining algorithms that can address a wide variety of industry driven use cases - Novel product formulations that can be further developed for the consumer and business2business market
