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     

An approach to web-based Personal Health Records filtering using fuzzy prototypes and data quality criteria

Nowadays, new ways of managing and accessing to health-care information are continuously appearing. Web-based Personal Health Records (web PHRs) have the potential to make data about health-care available to clinicians, researchers and students in different medical contexts and applications. Therefore, the amount of web PHRs accessible through Internet has grown enormously and as a result health-care professionals are currently burdened with more and more data. It’s probable that these data, unfortunately, have not always the adequate levels of quality, making that their work cannot always be as successful as expected. As a way of alleviating this fact, the present work is focused on improving the document filtering results in the context of web PHRs management. To achieve this goal, a new kind of document filtering model is proposed. This model is based on fuzzy prototypes which are defined by means of conceptual prototypes. These prototypes are obtained by using a data quality analysis of documents. This analysis guarantees that filtered information will be relevant enough for the information user. The complete model provides an efficient strategy of document filtering that can be very useful when it is necessary to deal with a constant flow of new information.     

Soft approaches to information access on the Web: An introduction to the special issue

Soft Computing (SC) tools present a great potential in real-life problems related with engineering, industrial applications, medicine, finances, etc. In this special issue we present a set of seven papers that report original research about the use of SC techniques to solve the problems in the field of information access on the Web.     

Telematics for Teacher Education: issues from a European conference

ABSTRACT

The world Information Superhighway is under discussion in many countries. Within Europe the discussion is also very active as is the promotion of the use of telematics for trans‐European communication and co‐operation in various areas. For education and training, representatives of European teacher trainers, teachers, students, parents, policy and decision makers discussed their needs and views on a trans‐European network at a conference held in May 1994 in Luxembourg. This paper presents a selection of various issues raised at the conference regarding the use of telematics for teacher education and illustrates the discussion and the method of discussion. It also describes and discusses the conference programme model, as it offered innovative on‐line activities to facilitate appreciation of telematics. The case is argued that teacher education can benefit greatly from telematics and some points are put forward for further discussion.     

Relationships Among Measures as Empirical Evidence of Validity: Incorporating Multiple Indicators of Achievement and School Context

In this article we examine empirical evidence on the criterion, predictive, transfer, and fairness aspects of validity of a large-scale language arts performance assessment, referred to as the Performance Assignment (PA). We use multilevel models to avoid biased inferences that might result from the naturally nested data. Specifically, we examine the relationships of the assessment with the Stanford Achievement Test, 9th Edition and the California High School Exit Examination. The results indicate that the measures are related, that students demonstrate a degree of transfer, and that the language arts PA is relatively more fair than comparison assessments. The results are robust to various model specifications and demonstrate that benefits do not accrue to all students equally.     

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.     

A Longitudinal Analysis of the Relations Among Professional Development,Educators’ Beliefs and Perceived Skills,and Response-to-Intervention Implementation

ABSTRACT

Professional development is a critical systems-level intervention thought to facilitate Response-to-Intervention (RtI) implementation. The current study examined the relations between professional development, educator outcomes, and problem-solving implementation within an RtI framework using growth curve modeling. School leadership teams from pilot schools (n = 34) participated in 3 years of training. Pilot schools also received job-embedded coaching. Comparison schools (n = 27) provided a referent group. Results indicated that problem-solving implementation increased faster at pilot schools (β = 0.10, SE = 0.05, t = 2.03, p < .05). In addition, beliefs regarding data-based decision-making (β = 0.36, SE = 0.17, t = 2.13, p < .05) and perceived problem-solving skills applied to academics (β = 0.30, SE = 0.10, t = 3.07, p < .01) positively related to implementation. Implications include the needs to further explore professional development activities and for consultants to utilize evidence-based professional development principles when supporting RtI implementation.     

Gene editing in plants: progress and challenges

The clustered regularly interspaced short palindromic repeat (CRISPR)-associated protein 9 (Cas9) genome editing system is a powerful tool for targeted gene modifications in a wide range of species, including plants. Over the last few years, this system has revolutionized the way scientists perform genetic studies and crop breeding, due to its simplicity, flexibility, consistency and high efficiency. Considerable progress has been made in optimizing CRISPR/Cas9 systems in plants, particularly for targeted gene mutagenesis. However, there are still a number of important challenges ahead, including methods for the efficient delivery of CRISPR and other editing tools to most plants, and more effective strategies for sequence knock-ins and replacements. We provide our viewpoint on the goals, potential concerns and future challenges for the development and application of plant genome editing tools.