Effect of wall permittivity on electroviscous flow through a contraction

The electroviscous flow at low Reynolds number through a two-dimensional slit contraction with electric double-layer overlap is investigated numerically for cases where the permittivity of the wall material is significant in comparison with the permittivity of the liquid. The liquid-solid interface is assumed to have uniform surface-charge density. It is demonstrated that a finite wall permittivity has a marked effect on the distribution of ions in and around the contraction, with a significant build-up of counter-ions observed at the back-step. The development length of the flow increases substantially as the wall permittivity becomes significant, meaning that the electric double-layers require a longer distance to develop within the contraction. Consequently, there is a corresponding decrease in the hydrodynamic and electro-potential resistance caused by the contraction. The effect of wall-region width on the flow characteristics is also quantified, demonstrating that the development length increases with increasing wall-region width for widths up to 5 channel widths.     

Literacy Instruction,SES, and Word‐Reading Achievement in English‐Language Learners and Children with English as a First Language: A Longitudinal Study

Socioeconomic gradients and growth‐mixture model trajectories of word‐reading achievement were examined from kindergarten to Grade 5 in all the children who entered kindergarten within a school district and started receiving literacy‐intensive instruction from that point on. In kindergarten, the relationship between socioeconomic status (SES) and word reading was significant in two of the three subgradients identified in English‐language learners (ELL), and in the only gradient identified in children with English as first language (L1). With more instruction, SES effects progressively disappeared and ELL and L1 gradients became identical. The trajectories showed that ELL and L1 children of middle‐SES level improved similarly as they progressed through Grade 5. However, at the lowest and highest end of the SES spectrum, the ELL children improved more than the L1 even though in kindergarten they were the most at risk for reading failure. The results suggest that the literacy‐intensive program may have reduced the negative influence of SES on word‐reading development.     

A Network Approach to Preparing Underrepresented Students: The LEAD Model

Results are reported from an empirical study of an interorganizational collaboration to prepare underrepresented students for elite postsecondary education and beyond. The LEAD (Leadership Education and Development) Program in Business is an initiative involving twelve U.S. universities, nearly forty multinational corporations, a federal government agency, and a nonprofit organization working together to introduce students to business education and careers in business. This article analyzes the conditions that give rise to the collaboration, its essential structural characteristics, and the consequences that flow from it.

A data-based scheme for evaluating faculty performance

Both sound management practice and the law require that administrative decisions affecting faculty members reflect systematic, uniformly applied, fair, and valid evaluations of performance. To meet these requirements a performance evaluation scheme must involve two decision elements, both of which are addressed and illustrated in this paper:what will be evaluated, andhow the evaluation will be made.A data-based faculty performance evaluation program specifically oriented toward such administrative actions as tenure, promotion, and salary adjustment is described. This program rests upon task analysis to clarify the nature of the desired evaluative content and peer review as the primary evaluative mechanism.The scheme is illustrated using the experience of a department of psychology training to the doctorate. However, the approach to faculty performance evaluation herein described and illustrated is generalizable, with modification, to other departments and institutions. Several considerations pertinent to such modification are discussed.     

Establishing an Early Warning System: Predicting Low Grades in College Students from Survey of Academic Orientations Scores

Counselors, faculty, and student personnel specialists are often unaware that college students are experiencing serious academic or adjustment difficulties until it is too late to rectify the problem. Most universities would benefit from an early warning system that detects at-risk students before performance or social problems jeopardize their college careers. This investigation demonstrated that scores from the Survey of Academic Orientations (SAO) were predictive of first-semester freshmen grades. Subsequent analysis showed that the SAO significantly improved the prediction of grade point averages, after taking the effects of Scholastic Assessment Test scores and high school percentage rank into consideration. The SAO gives educators a new early warning device, a way to identify those undergraduates most at risk of receiving poor grades. The next steps in the research process are to: (1) assess the relationship of SAO scores to other important academic indexes, such as retention and student stress, and (2) determine if furnishing counselors and other college personnel with SAO scores is of therapeutic value.     

Developing Digital Privacy: Children's Moral Judgments Concerning Mobile GPS Devices

New technology poses new moral problems for children to consider. We examined whether children deem object tracking with a mobile GPS device to be a property right. In three experiments, 329 children (4–10 years) and adults were asked whether it is acceptable to track the location of either one's own or another person's possessions using a mobile GPS device. Young children, like adults, viewed object tracking as relatively more acceptable for owners than nonowners. However, whereas adults expressed negative evaluations of someone tracking another person's possessions, young children expressed positive evaluations of this behavior. These divergent moral judgments of digital tracking at different ages have profound implications for how concepts of digital privacy develop and for the digital security of children.     

Schooling,Socioeconomic Context and Literacy Development

This longitudinal study examined the relationship between schooling, literacy development, and socioeconomic context, as reflected by a composite measure of socioeconomic status (SES). Reading, spelling, and phonological abilities were assessed from kindergarten to grade three in Canadian children in a school district with intensive literacy activities. In kindergarten, there were significant associations between SES and all the abilities assessed but these associations declined systematically to non‐significant levels by grade three. Risk and prevalence of reading failure also decreased with more schooling. The results suggest that the attenuation of the association between SES and literacy‐related skills, and the progressive reduction of the risk for reading failure, were positive outcomes associated with the literacy school program, especially in the early grades.     

Student Motivation and Learning in Mathematics and Science: A Cluster Analysis

The present study focused on an in-depth understanding of student motivation and self-regulated learning in mathematics and science through cluster analysis. It examined the different learning profiles of motivational beliefs and self-regulatory strategies in relation to perceived teacher autonomy support, basic psychological needs (i.e. autonomy, competence, and relatedness), motivational regulations, and academic achievement. Grounded in self-determination theory, this study examined the learning profiles of 782 students from eight secondary schools in Singapore. The cluster analyzes revealed four distinct learning profiles, and they were compared in association with perceived teacher autonomy support, needs satisfaction, motivational regulations, and grades. Cluster profiling enables teachers to have better understanding of their students’ self-regulated learning so that they can apply effective teaching strategies to foster their motivation. The findings offer a perspective to secondary students’ psychological needs along with some insights into their perceived task value and self-efficacy in the contexts of mathematics and science.