关于CAI课件设计制作的思考

随着计算机的普及,计算机在教学领域的应用也越来越广泛。CAI课件已成为多媒体教学中重要的工具。制作CAI课件应该风格统一,画面简洁,界面友好,运行流畅。用来制作CAI课件的工具有PowerPoint、Authorware、Flash以及专业性极强的可视化编程工具等。考虑到制作者的实际情况和课件最终使用的场合,课堂用课件通常选择PowerPoint,网络教学课件可以选择网站开发工具。除了选择适合自己的开发工具,资料的收集和加工也同样重要,文字选择要简要概括,图片选择要切合主题,为增加课件生动性,通常还辅以声音、动画等素材。     

浅谈PowerPoint在初中教学中的应用

在当今信息技术迅速发展的今天,为了适应时代发展的需要,要培养高素质的、具有创新意识的人才。在初中教学中有必要引进PowerPoint进行教学,因为它可以活跃课堂气氛,激发学生的学习兴趣;可以节约教师写板书的时间;形象逼真、增强记忆力等。但是这种多媒体教学方式也有它的弱点,所以,广大教师要扬长避短,以求达到最好的教学效果。     

On the Application of PowerPoint in English Teaching: Problem Analysis and the Related Solutions

As an important part of multimedia assisted teaching systems,PowerPoint has been developed to provide a convenient and advanced medium for English teaching. There is no doubt that the application of PowerPoint in teaching benefits us a lot,owever,it is also easy for us to be inclined to ignore its negative influence. Therefore,a related questionnaire survey is carried out among fifty students of English major in the Guangxi Normal University,for the purpose of finding out the existed problems of the application of PowerPoint in college's English teaching from the perspective of students. The result of survey shows that the major problems of applying PowerPoint in English teaching are: improperly designed and overused PowerPoint by teachers in class. Then,some reasonable suggestions are proposed for reference.     

Near universal consistency of the maximum pseudolikelihood estimator for discrete models

Maximum pseudolikelihood (MPL) estimators are useful alternatives to maximum likelihood (ML) estimators when likelihood functions are more difficult to manipulate than their marginal and conditional components. Furthermore, MPL estimators subsume a large number of estimation techniques including ML estimators, maximum composite marginal likelihood estimators, and maximum pairwise likelihood estimators. When considering only the estimation of discrete models (on a possibly countably infinite support), we show that a simple finiteness assumption on an entropy-based measure is sufficient for assessing the consistency of the MPL estimator. As a consequence, we demonstrate that the MPL estimator of any discrete model on a bounded support will be consistent. Our result is valid in parametric, semiparametric, and nonparametric settings.     

大学英语PowerPoint课件制作的思考

在大学英语多媒体课堂教学中,使用最多的是PowerPoint制作的演示课件。PowerPoint课件制作的科学合理与否将直接影响到教师的教学效果和学生的学习效果。结合大学英语教学实践,提出了大学英语课堂使用多媒体课件要以教学内容为核心组织课件制作材料,强调要以简捷性、可行性、形象化、趣味化和互动化原则为指导思想,大学英语多媒体课件制作必须把握英语学科独特的思想性、人文性和文化传播性以及由此表现出来的育人功能。要求英语教师有其独特见解和灵性,制作了出更多精良的多媒体课件为提高大学英语教学质量服务。     

应用PowerPoint制作教学多媒体演示文稿

多媒体教学是一种值得推广的一种现代教学方式。但如何应用简便易学的 Power Point软件来制作漂亮而又成功的演示文稿是一门学问和艺术。该文介绍了 Power Point题材多媒体的演示文稿设计和制作的基本原则及作者的实践体会。     

Efficient and flexible model-based clustering of jumps in diffusion processes

Jump–diffusion processes involving diffusion processes with discontinuous movements, called jumps, are widely used to model time-series data that commonly exhibit discontinuity in their sample paths. The existing jump–diffusion models have been recently extended to multivariate time-series data. The models are, however, still limited by a single parametric jump-size distribution that is common across different subjects. Such strong parametric assumptions for the shape and structure of a jump-size distribution may be too restrictive and unrealistic for multiple subjects with different characteristics. This paper thus proposes an efficient Bayesian nonparametric method to flexibly model a jump-size distribution while borrowing information across subjects in a clustering procedure using a nested Dirichlet process. For efficient posterior computation, a partially collapsed Gibbs sampler is devised to fit the proposed model. The proposed methodology is illustrated through a simulation study and an application to daily stock price data for companies in the S&P 100 index from June 2007 to June 2017.     

Investigating dependence between frequency and severity via simple generalized linear models

Recently, a body of literature proposed new models relaxing a widely-used but controversial assumption of independence between claim frequency and severity in non-life insurance rate making. This paper critically reviews a generalized linear model approach, where a dependence between claim frequency and severity is introduced by treating frequency as a covariate in a regression model for severity. As an extension of this approach, we propose a dispersion model for severity. For this model, the information loss caused by using average severity rather than individual severity is examined in detail and the parameter estimators suffering from low efficiency are identified. We also provide analytical solutions for the aggregate sum to help rate making. We show that the simple functional form used in current research may not properly reflect the real underlying dependence structure. A real data analysis is given to explain our analytical findings.