网上自主学习在高校教学改革中应用研究

网上自主学习模式是高校教学改革的有效方式之一，对网上自主学习的方式、效果、利弊及适用人群进行探讨。以科技论文写作知识的学习为例，建立网上自主学习的平台，制作专题学习网站，在石家庄铁道学院的研究生中进行试验教学，对网上自主学习模式的学习效果和认可程度进行分析，得出结论：网上自主学习是可行的，必要的，有助于提高学生自主学习能力，适用于大学高年级及研究生等自控能力和自学能力强的群体，应有针对性地积极落实实施，取得满意的教学效果。     

高等学校师资队伍建设问题的几点思考

普通高校师资队伍建设是一项系统工程,同时又是学校党政“一把手工程”。作者从教育人事管理工作的实践与现实角度出发,指出加强师资队伍建设,培养跨世纪学科、教学带头人是时代赋予的重任,选拔与培养途径的改革与完善是加强师资队伍建设的重要内容。本文提出了稳定骨干教师队伍,促进学科带头人脱颖而出的措施,从而在动态平衡中求得师资队伍的稳定和优化     

学习态度的改变及分析

学习态度是教育的成果之一,在当今教育由精英教育向大众教育的转变过程中日显重要。该文对学习效果及学习态度的转变的一些因子进行比较和分析,发现学生群体中态度的改变并非正态分布,而是呈锯齿型倾斜分布,在群体中的变化中有趋同性的特征,在此基础上,提出了高校要加强态度教育。     

Prediction of the Indian summer monsoon using a stacked autoencoder and ensemble regression model

The study of climatic variables that govern the Indian summer monsoon has been widely explored. In this work, we use a non-linear deep learning-based feature reduction scheme for the discovery of skilful predictors for monsoon rainfall with climatic variables from various regions of the globe. We use a stacked autoencoder network along with two advanced machine learning techniques to forecast the Indian summer monsoon. We show that the predictors such as the sea surface temperature and zonal wind can predict the Indian summer monsoon one month ahead, whereas the sea level pressure can predict ten months before the season. Further, we also show that the predictors derived from a combination of climatic variables can outperform the predictors derived from an individual variable. The stacked autoencoder model with combined predictors of sea surface temperature and sea level pressure can predict the monsoon (June-September) two months ahead with a 2.8% error. The accuracy of the identified predictors is found to be superior to the state-of-the-art predictions of the Indian monsoon.     

超越契约理论--演化论视角的企业理论研究

企业的契约理论围绕交易成本概念解释了企业的存在、边界和内部组织,但严重忽视了企业的技术和生产功能,演化经济学的企业理论通过研究企业内知识的产生、传播和利用过程,以及组织与个人的交互学习,不仅重新解释了企业的存在、边界和内部组织问题,还研究了契约理论未触及的企业异质性、竞争优势和企业家等问题.     

技术学习——企业技术能力演进的分析框架

企业技术能力的演进是一个技术学习过程,本文对技术能力和技术学习的基本内涵进行了分析和探讨,并提出了一个企业技术能力发展决定因素和机制的分析框架。我们认为,为获取技术能力发展所需要的知识和技能,技术学习需要整合三个维度的知识学习:个人学习与组织学习,内部知识学习与外部知识学习,以及显性知识与隐性知识的学习。因此,企业技术学习应该包含以下四个子过程:外部知识获取、内部知识获取、知识编码化以及知识社会化。由于这四个过程所获取的知识来源,性质不同,为完成这些子过程所需要的资源和机制也各不相同。通过对各个子学习过程决定因素和机制的分析识别,综合起来,我们为分析企业技术能力获取的决定因素和内部机制提供了一个基本理论框架。     

The convergence of least squares learning in stochastic temporary equilibrium models

Summary. This paper provides conditions for the almost sure convergence of the least squares learning rule in a stochastic temporary equilibrium model, where regressions are performed on the past values of the endogenous state variable. In contrast to earlier studies, (Evans and Honkapohja, 1998; Marcent and Sargent, 1989), which were local analyses, the dynamics are studied from a global viewpoint, which allows one to obtain an almost sure convergence result without employing projection facilities. Received: April 7, 2001; revised version: September 5, 2001     

Cost Uncertainty and Unilateral Abatement

Unilateral abatement is sometimes advocated in order to set a good example that will make other countries follow. The aim of this paper is to investigate whether existence of correlated cost uncertainty provides an incentive for a country to undertake unilateral abatement. The theoretical model is driven by two main mechanisms; first, a learning effect, as the follower country might reduce its risk premium as it can observe the cost level in the leader country. Second, there is the public good effect, i.e., the marginal benefit of abatement declines when abatement is a public good and other countries contribute to pollution reductions. Results shows that unilateral abatement would be efficient in reducing uncertainty about the unit costs of abatement if a country with low cost uncertainty would undertake abatement first, while a country with initially high cost uncertainty would follow. However, countries may prefer to act simultaneously because of the larger uncertainties that are inherent in a sequential game.      

评价指标体系在经济责任审计中的应用

将评价指标体系应用于经济责任审计可避免审计的随意性和不同审计人员审计的不一致性,本文以高等院校为主体从合法合规性、效益性、目标性等方面设计了经济责任评价指标体系。     

Social learning with private and common values

Summary. We consider an environment where individuals sequentially choose among several actions. The payoff to an individual depends on her action choice, the state of the world, and an idiosyncratic, privately observed preference shock. Under weak conditions, as the number of individuals increases, the sequence of choices always reveals the state of the world. This contrasts with the familiar result for pure common-value environments where the state is never learned, resulting in herds or informational cascades. The medium run dynamics to convergence can be very complex and non-monotone: posterior beliefs may be concentrated on a wrong state for a long time, shifting suddenly to the correct state.Received: 6 January 2005, Revised: 5 May 2005, JEL Classification Numbers: C72, D82.Jacob K. Goeree: Correspondence toFinancial support from the National Science Foundation NSF (SBR-0098400 and SES-0079301) and the Alfred P. Sloan Foundation is gratefully acknowledged. We thank Richard McKelvey posthumously for insights and conjectures about information aggregation that helped shape our thinking about the problem. We also acknowledge helpful comments from Kim Border, Tilman Börgers, Bogachen Celen, Luis Corchon, Matthew Jackson and seminar participants at University College London, the University of Arizona, Universitat Autonoma de Barcelona, the California Institute of Technology, the 2003 annual meeting of ESA in Pittsburgh, the 2003 Malaga Workshop on Social Choice and Welfare Economics, the 2003 SAET meetings in Rhodos, and the 2003 ESSET meetings in Gerzensee.