如何强化大学生的写作意识

强化大学生的写作意识,这并不是一个新颖的问题,但却是一个十分重要的问题。首先要解决思想认识的问题。从文学写作的角度上说,我们要特别强调写作观念的更新。强化大学生的写作意识,一定要培养学生对生活的敏感,一定要让写成为自觉的行动,一定要有很强的修改意识和很强的欣赏意识。     

从改写理论的视角看冰心的诗歌翻译思想

冰心是一位伟大的文学家、作家和翻译家。她不仅全身心投入到翻译实践中去,还积极地对翻译进行理论上的总结。她翻译了许多优秀的外国诗歌,并在此过程中形成了自己的翻译观。文章以勒菲弗尔的改写理论为视角,冰心翻译的《吉檀迦利》为例,探究在20世纪50年代到60年代期间,主流诗学和意识形态等因素对冰心翻译活动的影响和操控。     

自主学习模式下高校教师的自我能力发展研究

在高校教育所提倡的＂自主学习＂模式中,教师教育观念的转变更新和自我能力的提高尤为重要,只有教师具有新的教学观念和出色能力,才能在教学中不断进行改革和创新,最终培养出新世纪所需要的创造性、自主型、多元化人才。     

美国WASP主流文化与传统教育史学卡伯莱模式

本文从分析美国主流文化价值观WAS P即"盎格鲁-撒克逊、白人-新教文化",以及美国传统教育史学代表人物卡伯莱及其代表作《美国公立教育》出发,探讨了卡伯莱教育史观的WAS P文化倾向,以达到进一步加深对以卡伯莱为代表的美国传统教育史学的认识和理解。     

宗教道德教育与俄罗斯中小学

本文揭示了俄罗斯中小学宗教道德教育的现状和实施,阐述宗教道德教育的概念涵义,强调宗教(尤其是东正教)在对俄罗斯中小学生的道德培养方面的作用,提出宗教道德教育的法律依据,展现宗教道德教育在俄罗斯整个教育领域中的前景。     

幼儿园集体教学中教师提问的现状及其改进

本研究对观察记录的26个集体教学活动中来自教师的1453个提问进行分析,发现当前集体教学中,教师的提问多限于低水平的认知类问题,其主要目的是传授知识和技能;教师的提问通常不能面向全体幼儿,有20%左右的幼儿从来未被教师提问,教师更倾向对能力较强、性格活泼的幼儿提问;在提出问题后,教师虽有等候意识,但实际给予幼儿思考的时间都十分短暂,通常在1秒左右;幼儿的回答方式以个别作答、集体齐答、自由回答为主,而少有讨论后汇报的方式;当幼儿回答正确时,教师会表层化地追问,而当幼儿回答不正确、不完整或未回答时,教师多采用重述、简单否定、自己代答等方式;教师提问的有效性普遍不高,要么不能引导幼儿思维,要么不能抓住关键问题,要么与幼儿经验不符。为改变这种低效或无效的提问现状,教师需要根据教学内容、幼儿已有经验水平、幼儿发展的兴趣与需要精心设计提问,全面考虑问题的类型与难度、给予幼儿思考的时间、允许幼儿回答的方式以及教师自己的应答方式,使提问真正发挥促进幼儿思维与发展的作用,提高整个教学活动设计与实施的水平。     

幼儿园教师参与科研的现状及其对自身专业与园所发展的作用

本研究运用质的研究方法,对陕西省13位公办幼儿园园长进行半结构式访谈,力图描述现阶段幼儿园教师参与科学研究的现状,并探求幼儿教师参与科研对教师素质提升及园所发展的重要性.研究结果表明:教师参与科研比例较低;教师参与科研对教师专业修养、知识技能等方面的发展具有促进作用;教师参与科研通过提升教师素质有利于促进幼儿园的长远发展.     

埃里克森人格发展理论与儿童健康人格的培养

埃里克森人格发展理论将人一生的发展分为八个阶段,其中前三个阶段与学前儿童相关.这三个阶段分别是基本信任对不信任的阶段、自主对害羞和怀疑的阶段、主动对内疚的阶段.这些阶段依次出现的顺序是由遗传决定的,但个体能否顺利度过每个阶段,形成相应的良好品质则是由环境决定的,其中家庭、学校、社会都会对个体人格的健康发展产生深远影响.为帮助学前儿童顺利度过人生的前三个阶段,形成良好的基本人格特征,成人应重视早期和谐亲密的亲子关系的建立,在尊重孩子、为孩子提供独立做事机会、鼓励孩子与他人交往、让孩子体验成功中培养其自信、独立的心理品质,通过创设适宜的家庭环境和家园共育,让孩子在游戏中发展创新精神与能力.     

FARMER: A novel approach to file access correlation mining and evaluation reference model

File semantic has proven effective in optimizing large scale distributed file system. As a consequence of the elaborate and rich I/O interfaces between upper layer applications and file systems, file system can provide useful and insightful information about semantic. Hence, file semantic mining has become an increasingly important practice in both engineering and research community. Unfortunately, it is a challenge to exploit file semantic knowledge because a variety of factors could affect this information exploration process. Even worse, the challenges are exacerbated due to the intricate interdependency between these factors, and make it difficult to fully exploit the potentially important correlation among various semantic knowledges. This article proposes a file access correlation miming and evaluation reference (FARMER) model, where file is treated as a multivariate vector space, and each item within the vector corresponds a separate factor of the given file. The selection of factor depends on the application, examples of factors are file path, creator and executing program. If one particular factor occurs in both files, its value is non-zero. It is clear that the extent of inter-file relationships can be measured based on the likeness of their factor values in the semantic vectors. Benefit from this model, FARMER represents files as structured vectors of identifiers, and basic vector operations can be leveraged to quantify file correlation between two file vectors. FARMER model leverages linear regression model to estimate the strength of the relationship between file correlation and a set of influencing factors so that the “bad knowledge” can be filtered out. To demonstrate the ability of new FARMER model, FARMER is incorporated into a real large-scale object-based storage system as a case study to dynamically infer file correlations. In addition FARMER-enabled optimize service for metadata prefetching algorithm and object data layout algorithm is implemented. Experimental results show that is FARMER-enabled prefetching algorithm is shown to reduce the metadata operations latency by approximately 30%–40% when compared to a state-of-the-art metadata prefetching algorithm and a commonly used replacement policy.     

Searching high gray scale FPD scanning matrix based on PSO

With the increase of gray scale and flat panel display (FPD) size, subspace bitwise scanning strategy can be replaced traditional scanning method to cut down frame frequency. However, the direct searching strategy (DSS) becomes unfeasible to obtain corresponding high gray scale scanning matrix. Thus, particle swarm optimization (PSO) is introduced to accelerate searching for high gray scale weights scanning matrix (WSM) with its parallelism and global optimization feature. Finally a WSM of 256 gray scales is found out successfully with Matlab, which both gray linearity and scanning efficiency are satisfied.