学术简讯

常识的概念已经成为一种意识形态,在当代社会构建霸权主义、并将霸权主义作为道德与智力领导力的过程中起着重要作用。尽管在事实上新自由主义作为一种经济发展模式已经彻底失败,与新自由主义相关的文化政治仍然盛行于世,并在塑造现代政府和教育角色的理念中变成了新的常识。新自由主义全球化是全球化中最突出的模式,以市场相对于政府的主导地位和放松管制的治理模式为前提,在"学术资本主义"背景下深深地影响了高校。由此带来的改革通常以促进国际竞争力为合理借口,也被称为"竞争型改革"。市场力量日益渗透到高等教育领域,围绕学术资本主义"游戏"展开的大学治理模式的重构,均显示了新自由主义对高校影响的四个主要方面,即效率与问责制、认证与普及化、国际竞争力、私有化。通过引入以管理主义治理院校的新型模式,高校深化并扩大了自身的危机。虽然高校采纳并实施了这些改革措施,但是在不同领域,在自上而下地通过政策和重心调整强制改革时,全球化面临着越来越大的阻力。在许多情况下,新自由主义改革通过收取较高学费与减少政府对院校和个人的支持,限制了一些阶级和种族接受高等教育的机会。 更多还原     

Active relatives and health-related physical fitness in European adolescents: The HELENA Study

Abstract High physical fitness in childhood and adolescence is positively associated with favourable health-related outcomes. Our aim was to examine the relationship between relatives' (father, mother, brother, sister, and best friend) physical activity engagement and encouragement on adolescents' physical fitness. Adolescents were part of the HELENA study, a multi-centre study conducted in 10 cities from nine European countries in 2006-2008. Participants were 3288 adolescents (48% boys, 52% girls) aged 12.5-17.5 years with valid data on at least one of the three fitness variables studied: muscular strength (standing long jump), speed/agility (4×10 m shuttle run), and cardiorespiratory fitness (20 m shuttle run). The adolescents reported their relatives' physical activity engagement and encouragement. Analysis of covariance showed that relatives' physical activity engagement (father, mother, brother, and best friend) was positively related to cardiorespiratory fitness (P?相似文献   

E-government and citizen's engagement with local affairs through e-websites: The case of Spanish municipalities

As a mixture of new technologies, processes and services oriented to the citizen, e-government has become one of the most important keywords for the public sector reform with proponents claiming that it guarantees transparency, accountability and better communication between local and national administrations and their public. Few if any studies have investigated the factors that might contribute to the establishment of trusting relationship between city councils and citizens. This paper examines the relative importance and significance of three types of information communication technologies (ICTs) towards the use of e-government and the development of civic engagement. We conduct an empirical investigation of 179 Spanish official town websites (web sites in the municipalities). The research findings suggest that implementing ICT not only involves a step towards an increase in the use of e-government services by people, but also provides numerous opportunities for their civic engagement. The main conclusion of this study is that although ICT can leverage the adoption of e-government, it cannot create alone engagement with traditional activities of the local government. What is missing from this relationship is a mediating variable (adoption of e-government by government officers), which in turn can greatly help to better understand how ICT impacts relationships between governments and their citizens.     

Speech reading and learning to read: a comparison of 8-year-old profoundly deaf children with good and poor reading ability

Nine children with severe-profound prelingual hearing loss and single-word reading scores not more than 10 months behind chronological age (Good Readers) were matched with 9 children whose reading lag was at least 15 months (Poor Readers). Good Readers had significantly higher spelling and reading comprehension scores. They produced significantly more phonetic errors (indicating the use of phonological coding) and more often correctly represented the number of syllables in spelling than Poor Readers. They also scored more highly on orthographic awareness and were better at speech reading. Speech intelligibility was the same in the two groups. Cluster analysis revealed that only three Good Readers showed strong evidence of phonetic coding in spelling although seven had good representation of syllables; only four had high orthographic awareness scores. However, all 9 children were good speech readers, suggesting that a phonological code derived through speech reading may underpin reading success for deaf children.     

Reducing subjectivity in special education referrals by educators working with Latino students: using functional behavioral assessment as a pre-referral practice in student support teams

Over the past several decades, the Latino population throughout the USA has demonstrated significant growth and exceeded that of other ethnic minority groups. This influx is particularly evident in the student enrollment of US schools as the number of Latino students has increased by approximately 10 million within the past 10 years. With this dramatic increase, there are a number of critical issues that present significant barriers to a high-quality educational experience for Latino students, specifically overrepresentation of Latinos receiving disciplinary actions and the high number of referrals to special education evaluation for emotional and behavioral disorders. This paper will discuss the impact of the Latino population in US schools, the concern of overrepresentation and biased referrals, and the use of a culturally attuned functional behavioral assessment as a pragmatic solution to better serve this growing population.     

Instrumental Variables Two-Stage Least Squares (2SLS) vs. Maximum Likelihood Structural Equation Modeling of Causal Effects in Linear Regression Models

In the presence of omitted variables or similar validity threats, regression estimates are biased. Unbiased estimates (the causal effects) can be obtained in large samples by fitting instead the Instrumental Variables Regression (IVR) model. The IVR model can be estimated using structural equation modeling (SEM) software or using Econometric estimators such as two-stage least squares (2SLS). We describe 2SLS using SEM terminology, and report a simulation study in which we generated data according to a regression model in the presence of omitted variables and fitted (a) a regression model using ordinary least squares, (b) an IVR model using maximum likelihood (ML) as implemented in SEM software, and (c) an IVR model using 2SLS. Coverage rates of the causal effect using regression methods are always unacceptably low (often 0). When using the IVR model, accurate coverage is obtained across all conditions when N = 500. Even when the IVR model is misspecified, better coverage than regression is generally obtained. Differences between 2SLS and ML are small and favor 2SLS in small samples (N ≤ 100).     

Factor Analysis with Ordinal Indicators: A Monte Carlo Study Comparing DWLS and ULS Estimation

Factor analysis models with ordinal indicators are often estimated using a 3-stage procedure where the last stage involves obtaining parameter estimates by least squares from the sample polychoric correlations. A simulation study involving 324 conditions (1,000 replications per condition) was performed to compare the performance of diagonally weighted least squares (DWLS) and unweighted least squares (ULS) in the procedure's third stage. Overall, both methods provided accurate and similar results. However, ULS was found to provide more accurate and less variable parameter estimates, as well as more precise standard errors and better coverage rates. Nevertheless, convergence rates for DWLS are higher. Our recommendation is therefore to use ULS, and, in the case of nonconvergence, to use DWLS, as this method might converge when ULS does not.     

Adaptation and evaluation of a learning analytics dashboard to improve academic support at three Latin American universities

Despite the success of academic advising dashboards in several higher educational institutions (HEI), these dashboards are still under-explored in Latin American HEI's. To close this gap, three different Latin American universities adapted an existing advising dashboard, originally deployed at the KU Leuven to their own context. In all three cases, the context was the main ruling factor to these adaptations. In this paper, we describe these adaptions using a framework that focuses on four different elements of the context: Objectives, Stakeholders, Key moment and Interactions. Evaluation of the adapted dashboards in the three different Latin American universities is conducted through pilots. This evaluation shows the value of the dashboard approach in different contexts in terms of satisfaction, usefulness and impact in academic decision-making and advising tasks. The main contribution of this paper is the systematic reporting of the adaptations to an academic advising dashboard and showing the value of an academic advising dashboard on academic decision-making and advising tasks.