Linked to innovation: Shaping an innovative climate through network intentionality and educators’ social network position

This study investigates whether educators’ cognitive and structural social capital is associated with perceptions of innovative climate in charter schools. We explore a new concept to assess educators’ cognitive social capital, namely network intentionality, meaning the extent to which an educator is intentional in connecting and interacting with others. We hypothesize that network intentionality (cognitive social capital) is related to the extent to which educators perceive their school’s climate to be innovative, but that this relationship is dependent on the educator’s position in their school’s social network (structural social capital). Findings suggest that the relationship between cognitive social capital and perceptions of innovative climate is partly mediated by structural social capital. In other words, those educators with high network intentionality, as evidenced by an orientation towards connecting others, also perceive the school’s climate as being more innovative, partly because this strong network intentionality is associated with more out-going relational activity. This work provides unique insights into the factors that may be associated with teacher collaboration in successful charter schools serving traditionally underserved populations, and suggests ideas for schools wishing to support teacher collaboration and innovation.     

Impact of the Friendly Schools whole-school intervention on transition to secondary school and adolescent bullying behaviour

Peer bullying increases in times of school transition, influenced by changing peer and friendship groups, new schooling environments and greater stress. Covert forms of bullying, including cyberbullying, become more common in secondary school and cause considerable distress and long-term harm. The period of transition to secondary school is therefore a critical window for intervening to manage and prevent bullying. A three-year cluster randomised control trial was conducted to develop, implement and evaluate the Friendly Schools Project intervention which aimed to reduce bullying and aggression among more than 3,000 students who had recently transitioned to secondary school. Intervention schools were provided with individualised training and resources to support students’ transition and reduce bullying using a multi-level comprehensive intervention addressing classroom curriculum, school policies and procedures, the social and physical environment, pastoral care approaches and school-home-community links. Although the observed effect sizes were small, the intervention had a consistently significant positive effect across a range of outcomes, including bullying perpetration, victimisation, depression, anxiety, stress, feelings of loneliness and perceptions of school safety at the end of the students’ first year in secondary school. However, none of these differences were sustained into the students’ second year of secondary school. These findings demonstrate the immediate value of whole-school interventions to reduce bullying behaviour and associated harms among students who have recently transitioned to secondary school, as well as the need to provide strategies that continue to support students as they progress through school, to sustain these effects.     

Exploring Personality Profiles with Matrices

We present a short-term class project used in an introductory linear algebra course, designed to engage students in matrix algebra. In this activity, students responded to a survey of their pop culture tastes. Using the survey responses, they worked to design a series of matching algorithms, using matrices, with the goal of matching the students in the class to the person whose tastes most closely aligned with their own. The class then explored various ways of testing the quality of the match. Topics covered along the way included: symmetric matrices, vector products, and numerical interpretation of qualitative data.     

Selection procedures in sports: Improving predictions of athletes’ future performance

The selection of athletes has been a central topic in sports sciences for decades. Yet, little consideration has been given to the theoretical underpinnings and predictive validity of the procedures. In this paper, we evaluate current selection procedures in sports given what we know from the selection psychology literature. We contrast the popular clinical method (predictions based on overall impressions of experts) with the actuarial approach (predictions based on pre-defined decision rules), and we discuss why the latter approach often leads to superior performance predictions. Furthermore, we discuss the “signs” and the “samples” approaches. Taking the prevailing signs approach, athletes’ technical-, tactical-, physical-, and psychological skills are often assessed separately in controlled settings. However, for predicting later sport performance, taking samples of athletes’ behaviours in their sports environment may result in more valid assessments. We discuss the possible advantages and implications of making selection procedures in sports more actuarial and sample-based.