大学生课外学习自主性行为研究

通过行动研究的方式,采用调查与问卷的研究办法,对学生在课外学习中的学习自主性提高的可行性、方法以及在自主学习模式下教师角色的转变进行探索。其探索方式和结果对英语教师有一定的启发作用。     

论提升高等教育管理水平

高等教育管理是高等教育快速发展的保证,提升高等教育管理水平,必须创新管理理念,同时倡导人本管理、学术管理、民主管理和制度管理等多种管理方法,实施有效管理。     

A reciprocal global education? Working towards a more humanizing pedagogy through critical literacy

Dehumanizing tendencies within the present neo‐liberal era provide the backdrop against which the authors have developed an 11‐year partnership in the Global South. The economic context encourages competition over community and, while portending to bring people closer together through technological advances, it only facilitates the flow of commerce and capital while stemming the movement of consumers and workers. The authors provide a nuanced historical perspective leading up to the neo‐liberal moment, which notices the emergence of patriarchy, Christianity, racism, and capitalism as particular forms of social control, oppression and dehumanization. Recognizing the constructed nature of these forms, the authors propose community, consciousness, and courage as liberating ways forward towards the creation of an alternative form – a more reciprocal global education. While documenting some of their 11‐year partnership, the authors reveal the contribution of the following theorists who have impacted their praxis: Paul Kivel (social service vs social change), Paul Farmer (charity vs development vs social justice approaches to ‘service’ work), and Paul Gorski (decolonizing intercultural education). The authors conclude by (re)examining their desire to resist neo‐liberal globalizing tendencies towards a more reciprocal global education which expands upon relationships built and focuses on a critical literacy approach though the use of culture circles.     

Do Markets Favor Agents able to Make Accurate Predictions?

Blume and Easley (1992) show that if agents' have the same savings rule, those who maximize the expected logarithm of next period's outcomes will eventually hold all wealth (i.e. are ‘most prosperous’). However, if no agent adopts this rule then the most prosperous are not necessarily those who make the most accurate predictions. Thus, agents who make inaccurate predictions need not be driven out of the market. In this paper, it is shown that, among agents who have the same intertemporal discount factor (and who choose savings endogenously), the most prosperous are those who make accurate predictions. Hence, convergence to rational expectations obtains because agents who make inaccurate predictions are driven out of the market.     

自主探究模式下英语学习目标定向的统计研究

通过对自主探究学习模式的实证研究,分析、总结了学习者在该模式下的英语学习目标定向的构成,探讨各种学习目标定向与教学绩效的关系,发现自主探究模式可以显著提高外语教学绩效。在此模式下,学习者的学习目标定向以成绩目标定向为主。与掌握目标定向相比,成绩目标定向的确可以显著提高教学绩效。     

论高校学生思想政治教育针对性的现状及对策

高校学生思想政治教育的针对性就是指教育者在充分了解学生思想实际和存在问题的基础上,有的放矢,使整个教育过程贴近学生、贴近社会、贴近实际,切实解决学生存在的思想认识和行为选择问题,进而实现思想政治教育目的的活动过程。高校学生思想政治教育针对性研究是随着现实状况和学生思想的不断变化而发生变化的动态过程,其中要注意教育主客体、教育内容、教育方法、教育载体、教育环境等因素的相互影响和作用,充分利用一切积极因素,采取有效措施,切实加强高校学生思想政治教育的实效性。     

图书馆服务与高校科研工作

为高校科研工作服务历来是图书馆工作的一个重要部分,图书馆有实力做好服务,而科研工作也需要图书馆提供个性化服务。     

Sparse Markov Chains for Sequence Data

Finite memory sources and variable‐length Markov chains have recently gained popularity in data compression and mining, in particular, for applications in bioinformatics and language modelling. Here, we consider denser data compression and prediction with a family of sparse Bayesian predictive models for Markov chains in finite state spaces. Our approach lumps transition probabilities into classes composed of invariant probabilities, such that the resulting models need not have a hierarchical structure as in context tree‐based approaches. This can lead to a substantially higher rate of data compression, and such non‐hierarchical sparse models can be motivated for instance by data dependence structures existing in the bioinformatics context. We describe a Bayesian inference algorithm for learning sparse Markov models through clustering of transition probabilities. Experiments with DNA sequence and protein data show that our approach is competitive in both prediction and classification when compared with several alternative methods on the basis of variable memory length.     

基于信号传递过程中学习效应的联合创业投资决策

由于创业投资项目的产出具有较强的不确定性,单个创业投资公司受自身资源的制约很难对项目做出准确的评估,通常需要联合其他创业投资公司进行联合投资。文章从信息经济学的视角出发,通过引入创业投资家的风险规避成本、努力成本和战略收益,建立联合创业投资决策的三阶段模型,应用信号传递中的学习效应分析了创业投资中的联合投资决策过程。主导型创业投资公司通过接收跟随型创业投资公司对投资项目的评估信号,利用贝叶斯法则修正先验概率,然后再重新调整对项目的评估,通过联合投资伙伴间信号传递的学习效应寻找联合创业投资的合作区间,进而提高创业投资的成功率。最后,通过算例分析验证了理论模型的有效性。     

普通高校公共体育课课程学习评价现状的研究——以吉林师范大学为例

本文运用文献资料法、问卷调查法、专家访谈法和数理统计法等,对吉林师范大学公共体育课课程学习评价现状进行调查分析,与《全国普通高校体育课程教学指导纲要》进行对照,分析其在教学实践中存在的问题,并根据《纲要》提出的高校体育学习评价改革发展的新要求,结合学校的实际情况找到能有效进行改革和发展的思路,期望为高校公共体育课程改革提供有益的参考价值．