Team Machine: A Decision Support System for Team Formation

This paper reports on the cross‐disciplinary research that resulted in a decision‐support tool, Team Machine (TM), which was designed to create maximally diverse student teams. TM was used at a large United States university between 2004 and 2012, and resulted in significant improvement in the performance of student teams, superior overall balance of the teams as well as overwhelmingly favorable reactions from stakeholders. An empirical study is conducted comparing the performance of teams created by TM compared to teams manually allocated by a subject matter expert. The findings show that optimally balanced teams perform better than those created manually. TM serves as a broad‐based example of how to integrate business analytics into interactive search by conflating human judgment with algorithmic efficiency in the context of team formation. The contribution of this research to the academic community is a model and solution method which can be easily implemented to solve a very important and recurring issue faced by many MBA programs and empirical evidence of its value. The outcomes of this study include empirical evidence of increased team performance, significant administrative time savings, improvement to team diversity, and increased satisfaction from students and administrators with the team formation process.     

A Developmental Comparison of the Out‐of‐school Recreation and Leisure Activity Participation of Boys and Girls With and Without Physical Disabilities

Similarities and differences were examined in the out‐of‐school recreation and leisure activity participation of 422 children with physical disabilities and 354 children without disabilities. The roles of age (six to eight years, nine to 11 years, and 12–14 years), gender, and disability status were examined with respect to the diversity, intensity, location, companionship, and enjoyment of participation in five types of activities, controlling for family income. The findings indicate that dimensions and types of activity participation are differentially influenced by age, gender, and disability. Age cohort comparisons indicated that children without disabilities experienced a widening social world characterised by more intense social participation, greater participation with non‐family members, and stable levels of enjoyment across the age groups. In contrast, children with disabilities in the various age groups were similar in their intensity of social participation and the nature of their companionship, with 12–14 year olds reporting less enjoyment of social activities than those aged six to eight years or nine to 11 years. The findings support the utility of a developmental and contextual perspective in understanding children’s patterns of participation. The information can be used by service providers and managers interested in creating centre‐based or community‐based recreational opportunities, and in providing information to parents about how to encourage children’s recreation and leisure participation.     

Early Home Activities and Oral Language Skills in Middle Childhood: A Quantile Analysis

Oral language development is a key outcome of elementary school, and it is important to identify factors that predict it most effectively. Commonly researchers use ordinary least squares regression with conclusions restricted to average performance conditional on relevant covariates. Quantile regression offers a more sophisticated alternative. Using data of 17,687 children from the United Kingdom's Millennium Cohort Study, we compared ordinary least squares and quantile models with language development (verbal similarities) at 11 years as the outcome. Gender had more of an effect at the top of the distribution, whereas poverty, early language, and reading to the child had a greater effect at the bottom. The picture for TV watching was more mixed. The results are discussed in terms of the provision of universal and targeted interventions.     

‘Standing back’ or ‘stepping up’? Exploring climate change education policy influence in England

This paper explores the nature of climate change education-related policy influence in England at a time when public consciousness about the need to accelerate climate change action was heightened, and as the 2018 climate strikes gathered momentum around the world. Informed by Foucault's concept of ‘governmentalities’, and using data generated through 24 exploratory interviews and reflexive thematic analysis, we examine the extent to which influential individuals were advocating for policy change. We discuss the nature of policy influence with particular reference to the ‘stances’ that individuals adopted relative to climate change education policy influence and noting a common tendency exhibited amongst participants which was a tendency towards ‘deference’. Coupling our insights with theorisations of dissent, we consider how ‘infra-political dissent’ could support key individuals to ‘step up’ and influence for more effective policy relative to climate change education, and to other areas of education or environment policy.