Beyond the Preschool Years: Children’s Perceptions About Starting Kindergarten

This article describes a research study that investigated three‐ and four‐year‐old Canadian preschool children’s perceptions about starting kindergarten. Findings from 33 focus‐group discussions suggest that children begin to formulate ideas about starting kindergarten prior to school entry. Children’s responses were grouped according to three themes, play versus academic activities and homework; getting bigger but still needing help; and rules. Overall, the responses highlighted their expectations regarding continuity and discontinuity between the two environments. These findings support the position that children should be given the opportunity to contribute to the planning of transition practices.     

教育主体缺失视角下农村校园欺凌成因及治理

家庭、村庄和学校是农村学生成长过程中的三个重要教育主体，三者相辅相成共同构成农村教育主体结构。农村中小学生正是在该结构中获得成长，而农村校园欺凌事件的频发和多发则与其变化相关。农村教育主体结构的变化包括三个方面：一是家庭教育主体的缺位，表现为农村家庭隔代抚育的“不过问”逻辑；二是村庄教育主体的缺位，表现为村庄交往中的村民相互“不得罪”的逻辑；三是学校主体的缺位，表现为学校管理中官僚主义的“不出事”逻辑。这些主体行为逻辑的变化，进而带来了三者之间良性互动的阻隔，包括家庭与学校勾连的中断、村庄对学生和家庭监管的缺位，以及学校对农村社会的脱嵌。治理农村校园欺凌事件，除了法制和规范进校之外，还要搭建新型的教育主体结构，形成多元化、多主体农村校园欺凌的治理格局。     

Racial diversity in the suburbs: how race-neutral responses to demographic change perpetuate inequity in suburban school districts

Suburbs across the US are experiencing dramatic demographic shifts, yet there is little research available on how suburban school districts are dealing with these changes. In this article, we examine the discourses surrounding race and demographic change in three suburban school districts that have been undergoing rapid demographic changes and which contain demographically distinct areas within their district boundaries. Utilizing a critical discourse analysis (CDA) approach, we analyze how the policy context (federal and state) frames actors’ discourses and understandings of race, paying particular attention to the political and institutional factors affecting school policy. We illustrate how the discourse, in turn, is related to the actions (or inactions) taken by district and school leaders to respond to demographic change. We conclude the article by discussing policy implications and potential challenges districts may face in the future if efforts to purposively address racial changes continue to be avoided.     

Social Cognitive Factors,Support, and Engagement: Early Adolescents’ Math Interests as Precursors to Choice of Career

The authors examined the central hypothesis that students’ early perceptions of support and sense of engagement in math classes and math activities strongly influence the broadening or narrowing of their math interest. The focus was on the first wave of qualitative data collected from 5th‐, 7th‐, and 9th‐grade students during the 2007–2008 academic year as part of a longitudinal study. Findings indicate the importance of using group work and extrinsic motivation in middle school math classes to broaden interest; peer classroom behavior was often a detractor of math interest.     

Coming Full Circle: Reoccurring Career Development Trends in Schools

Current state and national mandates focusing on academic achievement have drawn critical counseling resources away from career development. As the world of work radically changes and economic situations remain uncertain, the call for a return to school counseling roots based in career guidance has never been louder. The authors explore reoccurring career guidance trends throughout the history of school counseling to expand awareness of the basis of today's career and technical education discussions and increase understanding of the interconnectedness of career guidance and counseling and educational reform.     

学分绩点制在武汉七所部属高校的实践与探索

学分绩点制是一种能客观衡量学生学习质量的教学管理制度。学分绩点制在武汉地区七校联合办学实践中的应用,为联合办学的可持续发展提供了有益的探索。     

Time series models with asymmetric Laplace innovations

We propose autoregressive moving average (ARMA) and generalized autoregressive conditional heteroscedastic (GARCH) models driven by asymmetric Laplace (AL) noise. The AL distribution plays, in the geometric-stable class, the analogous role played by the normal in the alpha-stable class, and has shown promise in the modelling of certain types of financial and engineering data. In the case of an ARMA model we derive the marginal distribution of the process, as well as its bivariate distribution when separated by a finite number of lags. The calculation of exact confidence bands for minimum mean-squared error linear predictors is shown to be straightforward. Conditional maximum likelihood-based inference is advocated, and corresponding asymptotic results are discussed. The models are particularly suited for processes that are skewed, peaked, and leptokurtic, but which appear to have some higher order moments. A case study of a fund of real estate returns reveals that AL noise models tend to deliver a superior fit with substantially less parameters than normal noise counterparts, and provide both a competitive fit and a greater degree of numerical stability with respect to other skewed distributions.     

Using a “child's‐eye view” of social success to understand the importance of school readiness at the transition to formal schooling

Recent research into school readiness has highlighted the importance of not only children's cognitive and socio‐emotional skills, but also the degree to which they have family support in the home. The current study examines the association between social success upon school entry and teacher‐ratings of school readiness as assessed by the Brief Early Skills and Support Index (BESSI), controlling for language ability. Importantly, social success was assessed using a “child's‐eye view” with peer‐reported assessments of both social preference and reciprocated friendships. A total of 244 children (131 boys, M_age = 61 months, SD = 4.78 months) in their first year of formal schooling participated. Child school readiness was found to be important for social preference, with the association being more marked for boys versus girls. Family support was the only independent predictor of children's reciprocated friendships. The use of the BESSI, with its broad scope compared to other measures of school readiness, highlights the importance of focusing both on a child's cognitive and socio‐emotional skills at school entry and their family support when exploring the association of school readiness to children's social success at the transition to formal schooling.     

Seventh-Grade Social Studies versus Social Meliorism

The Wake County Public School System (WCPSS), in the state of North Carolina, has gone through considerable recent effort to revise, support, and assess their seventh-grade social studies curriculum in an effort to serve three goals: comply with the Common Core State Standards (Common Core), comply with the North Carolina Essential Standards (Essential Standards), and create a curriculum that best serves students. Meanwhile, the curriculum theory of social meliorism was conceived of over a century ago. Since its inception it has influenced curriculum development and provided a foundation for many other curriculum theories that all start from an assumption that social meliorism holds to an accepted truth that the purpose of education is to improve society and address its injustices. Given contemporary discussions about how to achieve social justice, this is a philosophy that seems particularly meaningful when thinking about the ways that schools can help to accomplish the goals of social justice. I intend to investigate the seventh-grade social studies curriculum of WCPSS in 2014 and juxtapose it with the goals and ideals of social meliorism, determine how well the curriculum addresses the goals of that curriculum theory, and make suggestions for how a social meliorist might suggest modifying the curriculum to better serve the needs of society.     

Bayesian bridge-randomized penalized quantile regression estimation for linear regression model with AP(q) perturbation

Bridge penalized regression has many desirable statistical properties such as unbiasedness, sparseness as well as ‘oracle’. In Bayesian framework, bridge regularized penalty can be implemented based on generalized Gaussian distribution (GGD) prior. In this paper, we incorporate Bayesian bridge-randomized penalty and its adaptive version into the quantile regression (QR) models with autoregressive perturbations to conduct Bayesian penalization estimation. Employing the working likelihood of the asymmetric Laplace distribution (ALD) perturbations, the Bayesian joint hierarchical models are established. Based on the mixture representations of the ALD and generalized Gaussian distribution (GGD) priors of coefficients, the hybrid algorithms based on Gibbs sampler and Metropolis-Hasting sampler are provided to conduct fully Bayesian posterior estimation. Finally, the proposed Bayesian procedures are illustrated by some simulation examples and applied to a real data application of the electricity consumption.