Playing the game of school mathematics: being explicit for Indigenous learners and access to learning

Drawing on studies of successful remote schools in one region of Australia, it was found that two key strategies were common in the approaches at these schools. First, to make the strategies and expectations being adopted explicit to all those involved in the learning enterprise, and second, that consistency in approaches was crucial. Bourdieu’s theoretical project is used to understand how the practices are being adopted by the schools and how they contribute to the success of learners of mathematics.     

Discovering Spatio-Temporal Models of the Spread of West Nile Virus

Emerging infectious diseases are characterized by complex interactions among disease agents, vectors, wildlife, humans, and the environment. Since the appearance of West Nile virus (WNV) in New York City in 1999, it has infected over 8,000 people in the United States, resulting in several hundred deaths in 46 contiguous states. The virus is transmitted by mosquitoes and maintained in various bird reservoir hosts. Its unexpected introduction, high morbidity, and rapid spread have left public health agencies facing severe time constraints in a theory-poor environment, dependent largely on observational data collected by independent survey efforts and much uncertainty. Current knowledge may be expressed as a priori constraints on models learned from data. Accordingly, we applied a Bayesian probabilistic relational approach to generate spatially and temporally linked models from heterogeneous data sources. Using data collected from multiple independent sources in Maryland, we discovered the integrated context in which infected birds are plausible indicators for positive mosquito pools and human cases for 2001 and 2002.     

Good learning = A Good Life: Mathematics Transformation in Remote Indigenous Communities

The performance of Australian Indigenous¹ learners is a national concern. The federal government has recognised that health and education are keys to closing the gap between the achievement of Indigenous and non‐Indigenous people and has made health and education a national priority. Through its ‘Closing the Gap’ initiative, the Rudd government is allocating significant amounts of money to redress the poor health and education among Indigenous Australians. In this paper, we discuss an innovation in education that is being implemented in a cluster of remote communities in Western Australia.² The innovation draws on international research that has positively affected mathematics learning, particularly among students who are traditionally excluded from formal schooling. While the research is innovative, the mechanisms that may be the most effectual in bringing about strong mathematical learning for Indigenous Australians are unknown.     

College Students and Credit Card Use: The Role of Parents, Work Experience, Financial Knowledge, and Credit Card Attitudes

This study examined the influence of parental interactions, years of work experience, financial knowledge, credit card attitudes, and personal characteristics on college students’ credit card behaviors (i.e., number of cards and amount of debt). Based on data collected across seven universities (N = 413), we found that students who had parents who argued about finances, were juniors/seniors, and were comfortable making minimum payments were the most likely to have $500 or more in credit card debt and two or more credit cards. In addition, number of credit cards held was the only dependent variable influenced by gender and fear of credit cards. These results highlight the importance of early interventions in the life of college students including involving parents as positive role models.     

A dynamic EM algorithm for estimating mixture proportions

We investigate the use of a dynamic form of the EM algorithm to estimate proportions in finite mixtures of known distributions. We prove a consistency result for this algorithm, which employs only a single EM update for each new observation. Our aim is to demonstrate that the slow convergence rate of the EM algorithm in many applications is of little practical consequence in a situation when data is frequently being updated.     

Neural Interaction Between Risk Sensitivity and Cognitive Control Predicting Health Risk Behaviors Among Late Adolescents

The developmental period of adolescence is characterized by increasing incidence of health risk behaviors (HRBs). Based on theoretical models that emphasize the moderating role of cognitive control, this study examined how neural correlates of cognitive control and risk sensitivity interact to predict HRBs among late adolescents (17–20 years). Neuroimaging data indicate that risk‐related hemodynamic activity in the anterior insula during anticipation of uncertain outcomes predicts HRBs among late adolescents exhibiting greater dorsal anterior cingulate cortex (dACC) activity during a cognitive interference task but not among late adolescents requiring less dACC activity. These results present neural evidence for a significant moderating effect of cognitive control on the link between risk sensitivity and HRBs among late adolescents.