开放教育引入半开卷考试的实践与思考

半开卷考试是一种新型考试方式,它允许学生携带一张事先自行写好内容的专用纸进入考场考试。从福州电大的试点实践情况分析,这种考试模式对于开放式教育能够发挥积极作用,对其目前存在的一些问题,可采取相应措施加以完善。     

大学生政治热情的社会学观察--从"传单"到"传销"的变化

我国高校大学生的政治热情从20世纪80年代末以来成为高校道德教育的一个“问题”。然而多种盛行的教育方法却基本没能对应学生政治热情之所以存在的根本原因，因此，也就难以找到行之有效的对策。本文拟从高校大学生在不同历史时期所处的不同社会制度关系角度分析其政治热情所隐藏的社会意义，从而揭示这种政治热情何以可能、何以可为。     

基于社区关系国际学生文化体验课程模式探究

国际学生课程因受疫情影响现阶段多数转为线上,而造成课程开展难度较大等问题。在此背景下,研究如何开展高质量的国际学生文化体验课成为当下国际学生课程教育研究的一项重要内容。基于社区关系视角,梳理了现行国际学生教育事业中文化体验课模块化、地域化和异步化的基本特征,针对特征总结得出国际学生文化体验课程“传统常态化”“地域特色化”“影像可视化”的发展现状,着力探究基于社区关系而构建的“家—校—生”一体化的国际学生文化体验课程模式,通过分析新时代国际学生社区文化体验课程模式构建中课程时长较难控制、协同完成存在风险、课程质量评价多样性等问题,提出了社区关系视角下的国际学生文化体验课程模式的实施路径,即师资互通共融、资源互用共享和共建社区家长学校。     

Windows200O利用Internet实现虚拟专用网

本文通过探讨虚拟专用网的工作原理和Windows2000的关于虚拟专用网的功能,介绍了一种虚拟专用网的应用实例.     

Computer Use and Academic Development in Secondary Schools

Several studies provide preliminary evidence that computer use is positively related to academic performance; however, no clear relationship has yet been established. Using a national database, we analyzed how students’ school behavior (i.e., evaluated by English and math teachers) and standardized test scores (e.g., math and reading) are related to computer use for school work or other than school work for the tenth grade student. While controlling socioeconomic status (SES), home computer access, parental involvement, and students’ academic expectation variables, the students who used a computer for one hour per day showed more positive school behaviors and higher reading and math test scores. This article concludes with implications for future study to better understand the impact of computer use on adolescent academic development.     

发达国家成人高教在大众化进程中的定位、特征与趋势

发达国家成人高等教育在高教大众化进程中形成了多样性和开放性特征，并成为高教大众化时期的重要办学力量。随着现代科技的迅猛发展、社会结构的深刻变革、教育民主化思潮及终身教育思想的广泛传播等对成人教育的影响，发达国家成人高等教育表现出注重质量、终身化、现代化、社会化、法制化等强劲的发展趋势。     

模糊综合评判模型在新设专业决策中的应用

在高职新专业可行性论证中，需要对人才需求、培养方案、师资队伍、实验实习条件、图书资料、办学设施、办学经费等方面进行评估．这些指标都是一些模糊的量．借助于模糊综合评判数学模型，能为新专业决策提供一种较为科学的量化方法。     

中小企业SaaS ERP采纳机理研究

基于社会认知理论,结合SaaS ERP较于传统ERP的特点,从采纳战略管理的视角出发,构建SaaS ERP采纳机理理论框架,通过SmartPLS 2.0对模型假设进行验证。研究结果显示,内部资源完备性、SaaS ERP相对利得、SaaS ERP相对利失在一定程度上影响着中小企业决策群体对SaaS ERP的采纳价值认知,同时,SaaS ERP采纳战略意愿受到采纳价值认知这一主观因素和内部资源完备性、外部环境支持度这两个客观条件的制约。建立了中小企业SaaS ERP采纳机理模型,为企业采纳SaaS ERP提供了相应的指导,并且为后续研究奠定了一定的理论基础。     

影响高校毕业生就业的社会资本因素分析

社会资本是近年来学术界研究较多的一个问题。本文在对社会资本及大学生就业相关文献进行梳理的基础上,利用北京大学教育学院"高等教育规模扩展与劳动力市场"课题组于2005年6月对全国34所高校调查的数据,对大学生社会资本状况,社会资本对大学生毕业去向、就业落实率、起薪及工作满意度的影响,进行了实证分析。本文的主要研究结果如下:(1)与来自社会经济地位较高的家庭的学生相比,来自社会弱势家庭的学生在家庭社会资本与个人社会资本上都比较缺乏;(2)大学生毕业选择就业或升学时,家庭社会交往广泛度对升学选择产生显著的正面影响,而个人社会交往广泛度对就业产生了显著的正面影响;(3)社会资本与大学毕业生的就业落实、起薪、工作满意度存在着显著的正面影响;(4)社会资本对大专生和本科生就业落实率有较为显著的正的影响,但是对硕士和博士的就业落实率没有显著影响。     

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.