高等学校教学质量监控问题与对策研究

教学质量监控是确保学校教学质量的一种管理工作过程。当前高等学校教学质量监控中存在监控主体不明、实践教学重视程度不够、教学质量评价标准刻板、单一、教学信息反馈不畅等问题,针对这些问题积极寻求有效的对策是提高教学质量监控的重要途径。     

任务型语言教学在实施过程中面临的困境和误区

近年来随着《英语课程标准》的实施,任务型语言教学被广泛接受.但是任何一种教学途径都不是完美无缺的.任务型教学作为一种教学途径在理论研究和实践层面上都存在一些不足,尤其是在我国这样一个把英语作为外语的环境下,实施任务型教学困难和误区就更为突出.因此,很有必要对任务型教学的本土化进行研究和探讨,以适应中国的教学实际.     

论老舍早期对文学理论现代性的探求

老舍在1930年代所写的《文学概论讲义》等理论著作中对文学理论现代性进行过深入而独到的探求。他强调文学理论的科学性,给中国古代“文说”正名;张扬文学价值的审美愉悦性,反对滥加“利用”文学;重视文学研究的内部研究,不满文学的外部研究;强调文学创作的创造性,批评文学摹仿说和复古调。     

EVALUATING ALTERNATIVE LINEAR PROGRAMMING MODELS TO SOLVE THE TWO-GROUP DISCRIMINANT PROBLEM

The two-group discriminant problem has applications in many areas, for example, differentiating between good credit risks and poor ones, between promising new firms and those likely to fail, or between patients with strong prospects for recovery and those highly at risk. To expand our tools for dealing with such problems, we propose a class of nonpara-metric discriminant procedures based on linear programming (LP). Although these procedures have attracted considerable attention recently, only a limited number of computational studies have examined the relative merits of alternative formulations. In this paper we provide a detailed study of three contrasting formulations for the two-group problem. The experimental design provides a variety of test conditions involving both normal and nonnormal populations. Our results establish the LP model which seeks to minimize the sum of deviations beyond the two-group boundary as a promising alternative to more conventional linear discriminant techniques.     

Education CREATIVE THINKING AND INNOVATIVE EDUCATION IN THE DECISION SCIENCES

Creative problem solving is seldom addressed directly in the decision sciences literature. The first half of this paper reviews current thinking about creativity and its educational importance. The remainder addresses creative problem-solving processes and, in particular, the process developed by Parnes, Noller and Biondi [24] and Osborn [23]. This process has been integrated into an OR/MS problem-solving course which is described. Conclusions and implications for decision sciences education and practice in general are discussed.     

Concepts,Theory, and Techniques ROBUST METHODS: AN ALTERNATIVE APPROACH FOR ANALYZING DATA SETS CONTAINING INFLUENTIAL DATA POINTS

Recent advances in statistical estimation theory have resulted in the development of new procedures, called robust methods, that can be used to estimate the coefficients of a regression model. Because such methods take into account the impact of discrepant data points during the initial estimation process, they offer a number of advantages over ordinary least squares and other analytical procedures (such as the analysis of outliers or regression diagnostics). This paper describes the robust method of analysis and illustrates its potential usefulness by applying the technique to two data sets. The first application uses artificial data; the second uses a data set analyzed previously by Tufte [15] and, more recently, by Chatterjee and Wiseman [6].     

让政治课教学成为有灵魂的德育教育形式

现今中职学校的政治课教学,从课程设置、教学内容到授课形式,很多都是有科学而无灵魂的德育教育。政治课是学校德育的一个最基本的和最重要的组成部分,为了完成政治课德育教育的目的,必须让它成为有灵魂的教育形式。要使政治课教学变成有灵魂的教育形式,就要实施政治课教学内容、教学手段改革,教师课堂教学中确立以学生为中心的新型师生关系,并注意引导学生的个性发展。     

AD HOC MODEL BUILDING USING TIME-VARYING PARAMETER MODELS*

Decision support for managers and policy makers, such as required in planning and evaluation efforts, often requires ad hoc behavioral modeling to account for context-specific phenomena and to handle data limitations. This paper introduces a systematic approach useful for meeting these requirements in which time-varying parameter estimation plays an important role. A case study evaluating the impacts of public policy actions on residential natural gas conservation illustrates the approach.     

ASSESSING ENVIRONMENTAL SCANNING AT THE SUBUNIT LEVEL: A MULTITRAIT-MULTIMETHOD ANALYSIS*

Environmental scanning activities of over 400 top management subunits in 108 European manufacturing firms provided the data base for this research. Four traits (constructs) of scanning using three methods (interest, frequency, and time) were examined. A confirmatory factor analysis approach to multitrait-multimethod (MTMM) data was employed. Verification of the reliability as well as convergent and discriminant validity of the scanning scales are reported and discussed. The viability of confirmatory factor analysis in providing a precise analysis of partitioning variance according to trait, method, and error is demonstrated.     

A TIME-SERIES APPROACH FOR CONSTRUCTING EXPECTATIONS MODELS*

This article presents an efficient way of dealing with adaptive expectations models—a way that makes use of all the information available in the data. The procedure is based on multiple-input transfer functions (MITFs): by calculating lead and lag cross correlations between innovations associated with the variables in the model, it is possible to determine which periods have the greatest effects on the dependent variable. If information about k periods ahead is required, fitted values for the expectation variables are used to generate k-period-ahead forecasts. These in turn can be used in the estimation of the transfer function equation, which not only contains the usual lagged variables but also allows for incorporation of lead-fitted values for the expectation variables. The MITF identification and estimation procedures used are based on the corner method. The method is contrasted with the Almon distributed-lag approach using a model relating stock market prices to interest rates and expected corporate profits.