自主学习中教师的角色和作用

近年来,随着科学技术的发展,经济的不断进步,自主学习成为我们关注的热点,为了研究兰州商学院长青学院教师、学生对自主学习的了解和实施,笔者进行了调查研究,并对调查结果进行了分析,这些数据反映了学生的学情和诉求,对以后教师的教学和科研有一定的帮助作用。     

论信息技术背景下研究性学习中教师角色及其作用转变

随着现代信息技术的发展及其在高校教学领域中的广泛应用,借助网络丰富的信息资源进行教学已经成为教育改革的一个重要方向。对研究性学习的探索正在各高校的课堂内外如火如荼地开展着,它将改变学生的学习方式和教师的教学方式,传统的教师角色及其作用业将发生改变,在信息技术背景下,研究性学习中的教师应是课程开发者、知识建构者、教学组织者、情感沟通者和学习促进者。     

教师角色转换与学生自主学习能力的培养

现代大学教育已开始将教学的重心落在学生的自主学习能力上,针对非英语专业学生自主学习能力的提高及英语等级考试的变化,高校教师应结合学生实际并与时俱进及时调整自己的角色,充当好引领者、督促者、组织者和评估者的角色,积极引导、促进和提高学生的自主学习能力,为其形成良好的终身学习习惯打下坚实的基础。     

新课程中教师的新角色

如今新课程改革如火如荼,各地各校真可谓是“百花齐放”、“异彩纷呈”。笔者以为新课程改革的成功的关键在于其执行者——教师。教师以怎样的角色去参与课程改革是个颇值得研究的课题。     

以行动学习为核心的“三位一体”MBA培养模式中教师角色的转换

巨变的商业环境中,传统的灌输式教育已经无法培养出适应时代变化的MBA学员,以行动学习为核心的"三位一体"创新型培养模式成为了克服这一弊端的良药。作为全新型培养模式的催化剂,教师应当摒弃填鸭式授课方法,完成向"过程专家"、"知识专家"和"学习教练"这三个角色的转换。本文从行动学习的核心理念出发,结合"三位一体"培养模式,详细阐述了教师角色是如何转变的及其所应当发挥的职能。     

树立科学的教师观转变教师的角色

教师作为教学过程的执行者,在教学实践中具有举起轻重的作用,树立科学的教师观是保证教学实践科学性的重要前提和基础.当今社会,科学技术飞速发展,时代背景的变化要求我们重新审视传统的教师观,树立适合时代发展的、有利于教师成长和对教师角色进行科学定位的教师观.在此基础上,提出了教学过程中教师角色的定位和转变.     

浅谈新课程改革中教师角色的转换

新课程实践需要的是教育观念新、综合学历和创新能力强的具有较高素养的新型教师。教师应首先是一个积极的终身学习者，教师以身作则，不断接受新观念，以更新旧观念的姿态呈现在学生面前，学生在教师终身学习形象的感染下，学会学习，学会合作，学会创新。教师做终身学习者，就是努力使自己成为能自动充电的多功能太阳能电池，成为一条永远流动的大河。     

中学数学教师角色的转变

伴随着课程改革的不断深入,中学数学教师要认清未来教育的发展趋势,做好转变角色的准备工作,以适应新形式下的数学教学要求。本文针对中学数学教师的角色转变问题进行了详细的探讨。     

试论高职院校语文教师在角色转变中面临的问题

一、高职院校语文教师在角色转变时遇到的问题1．学生的素质反差巨大。在相当长的一段时期里,中专、中师类学校录取的学生成绩较高,生源素质较好,就业率极高,招生也自然不成问题。但是升格后,高职类学校的招生和就业便纳入了市场运作之中．竞争非常激烈．学校为了争夺生源．往往降低录取分数线。随着高校不断扩招,高职类学校的生源质量明显下降。     

化学教学中探究式学习实践与创新能力的培养

素质教育的核心就是发挥学生的主观能动性,而开展探究式学习就是教师在教师在课堂中创设问题情景,使每个学生都自觉、积极主动的参与到学习活动中,探究解决问题,体验过程和乐趣;引导学生积极思考,学会学习,培养学生的创新能力,并在过程中养成严谨的科学态度。     

浅谈技工学校青年教师师德建设

技工学校青年教师师德的高低,直接影响技能型人才培养的质量,文章通过对当前青年教师师德滑坡原因的分析,提出加强师德建设的几点意见和看法。     

Revealed preference test and shortest path problem; graph theoretic structure of the rationalizability test

This paper presents some substantial relationships between the revealed preference test for a data set and the shortest path problem of a weighted graph. We give a unified perspective of several forms of rationalizability tests based on the shortest path problem and an additional graph theoretic structure, which we call the shortest path problem with weight adjustment. Furthermore, the proposed structure is used to extend the result of Quah (2014), which sharpened classical Afriat’s Theorem-type results.     

“六位一体”教学模式下,高职英语教师角色的新内涵

文章认为,随着时代的发展,高等职业教育理念有了极大的改变,新型高职英语课堂教学模式——"六位一体",赋予高职英语教师角色新的内涵。     

论宫崎骏动画中环保理念的现实意义

日本动画大师宫崎骏是一位环保主义者,他热爱自然,珍爱生命。他用动画的语言向全世界传递着他的环保理念,并在他营造的幻想世界里,表达着对于人类世界的反省和对环境保护的追求。本文通过对宫崎骏环保理念的梳理,对动画作品中环保主题的解读来唤起人类对自然的反思与自省,生命的高贵尊严、自然的不可侵犯,人类与自然的关系应该在和谐并存中传承延续。     

新时期企业思想政治工作内容探究

21世纪是我国崛起和发展的新时期,我国企业迎来了新的挑战与新的机遇,企业思想政治工作相应地要面对新问题、新情况。文章阐述了企业思想政治工作的新内容,指出其应将企业的社会责任视为重中之重,从而使企业的党建工作落到实处。     

A statistical treatment of the problem of division

The problem of division is one of the most important problems in the emergence of probability. It has been long considered solved from a probabilistic viewpoint. However, we do not find the solution satisfactory. In this study, the problem is recasted as a statistical problem. The outcomes of matches of the game are considered as an infinitely exchangeable random sequence and predictors/estimators are constructed in light of de Finetti representation theorem. Bounds of the estimators are derived over wide classes of priors (mixing distributions). We find that, although conservative, the classical solutions are justifiable by our analysis while the plug-in estimates are too optimistic for the winning player.Acknowledgement. The authors would like to thank the referees for the insightful and informative suggestions and, particularly, for referring us to important references.Supported by NSC-88-2118-M-259-009.Supported in part by NSC 89-2118-M-259-012.Received August 2002     

Managing risk symptom: A method to identify major risks of serious problem projects in SI environment using cyclic causal model

Serious problem projects (SPPs) often occur, particularly in a system integration environment, and it is difficult to prevent them, since the relationships among phenomena that occur throughout the project life cycle are extremely complicated. Our goal is to make it easier to identify major risks by distinguishing phenomena that are sources of future SPPs from phenomena observed in actual field projects. By choosing several events whose causal relation is known to be cyclic, we constructed a causal model and clarified that it can contribute to the easier recognition of SPPs empirically, by analyzing actual SPP cases.     

New insights into the role of global factors in BRICS stock markets: A quantile cointegration approach

Because of the acceleration in marketization and globalization, stock markets in the BRICS (Brazil, Russia, India, China, and South Africa) countries are affected by various global factors, for example, oil prices, gold prices, global stock market volatility, global economic policy uncertainty, financial stress, and investor sentiment. This paper offers new insights into the short- and long-run linkages between global factors and BRICS stock markets by applying the quantile autoregressive distributed lags (QARDL) approach. This novel methodology enables us to test short- and long-run linkages accounting for distributional asymmetry. That is, the nonlinear dynamic relationship between the global factors and BRICS stock prices depends on market conditions. Our empirical results show that the effects of gold prices and global stock market volatility on BRICS stock prices are more significant in the long run than in the short run. A decrease in global stock market volatility is associated with higher stock prices, while gold prices demonstrate upward co-movement in dynamic correlations with stock markets. Irrational factors, such as economic policy uncertainty, financial stress, and investor sentiment, play a critical role in the short term, and negative interdependence is dominant. Finally, the rolling-window estimation technique is used to examine time-varying patterns between major global factors and BRICS stock markets.     

A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP

We derive forecast weights and uncertainty measures for assessing the roles of individual series in a dynamic factor model (DFM) for forecasting the euro area GDP from monthly indicators. The use of the Kalman smoother allows us to deal with publication lags when calculating the above measures. We find that surveys and financial data contain important information for the GDP forecasts beyond the monthly real activity measures. However, this is discovered only if their more timely publication is taken into account properly. Differences in publication lags play a very important role and should be considered in forecast evaluation.