The end of “information”: Computers,democracy, and the university

This paper describes some of the challenges which the growing pervasiveness of computers and electronic communications technology present to liberal democracies. We argue that these technologies, by their influence on the mechanisms of publicity and privacy, make possible the abuse of an under-developed popular epistemology. The confused response of the courts to cases of information crime suggests that the university is a better forum in which to meet and master these challenges.Freedom is not a simple experience. And as technology becomes more sophisticated, living in freedom—which means living with constant, changing choice—will only become more complex.     

Cookie技术在Web日志挖掘预处理中的应用

W eb日志的数据挖掘,可以发现用户访问页面的行为模式,改进W eb站点的性能和结构,提高查找信息的质量和效率.对W eb日志挖掘预处理的数据清洗、识别用户、识别用户会话和识别片断四个主要阶段所要完成的任务进行分析,论述了现有W eb日志预处理方法中的用户识别技术,提出了一种基于Cook ie技术和扩充日志属性的用户识别方法.     

数据检索中索引技术的探讨

设计索引的目的是为了加快数据检索．文章就与索引相关的一些特征元素．提出了创建索引中数据目录项的3种不同方法．同时对B^ 索引进行了描述．分析了其在进行数据搜索的实现原理．简要个绍了在实现数据删除和插入时的优化思路．     

朝鲜语母语学习者趋向补语习得情况分析--基于汉语中介语语料库的研究

本以汉语中介语语料库中母语为朝鲜语的学生使用的带趋向补语的句子为样本,考察了这些学生习得趋向补语的情况,分析了影响他们习得趋向补语的因素。章发现,这些学生习得趋向补语出现的错误既受语际负迁移的影响,也受语内负迁移的影响。     

基于数据驱动原理的新型计算机系统结构的可行性分析

本文通过对传统的基于存储程序原理的冯·诺依曼计算机和基于数据驱动原理的新型计算机系统结构的数据流计算机的比较以及对数据流计算机的性能的分析,得出这种还处在萌芽阶段的数据流计算机是可行的,也是具有发展潜的.     

基于LabVIEW的振动实验控制与数据采集系统

开发了一种基于虚拟仪器的振动实验控制与数据采集系统，对机械振动信号进行实时的数据采集处理、波形显示、信号存储、信号分析以及再现。利用LabVIEW的CLF节点词用动态链接库驱动并控制运动控制卡，通过虚拟面板对振动实验台的数字伺服电机进行自动控制进而达到控制实验台的运转目的。系统具有简洁友好的人机界面，直接在软面板上完成各种操作。     

灰色马尔科夫模型在高校招生中的应用研究

本研究深入剖析了灰色马尔科夫模型在高校招生中的应用,由于高校生源变动的随机性、波动性以及复杂性,给招生预测工作带来了很多瓶颈。为了更准确地预测招生人数,我们将试图把灰色动态预测与马尔科夫预测模型融为一体,对高校招生人数进行预测。选取河南师范大学部分新生历年录取入学情况为研究对象,采用数据收集法、实验分析法、灰色马尔科夫模型等技术发掘数据中隐藏的规律和模式,从而为高校招生工作提供科学的依据。     

Examining Intermediate Omitted Levels in Hierarchical Designs via Latent Variable Modeling

This article outlines an interval estimation procedure that can be used in a 3-level setting to evaluate the proportion of outcome variance attributable to the second level of clustering. The method is useful for examining the necessity of including a possibly omitted intermediate level of nesting in analyses of data from a multilevel study, and represents an informative addendum to current statistical tests of second-level variance. The approach is developed within the framework of latent variable modeling and can be used as an aid in the process of choosing between 2-level and 3-level models in a hierarchical design. The discussed procedure is illustrated with an empirical example.     

Making sense of learner and learning Big Data: reviewing five years of Data Wrangling at the Open University UK

Most distance learning institutions collect vast amounts of learning data. Making sense of this ‘Big Data’ can be a challenge, in particular when data are stored at different data warehouses and require advanced statistical skills to interpret complex patterns of data. As a leading institute on learning analytics, the Open University UK instigated in 2012 a Data Wrangling initiative. This provided every Faculty with a dedicated academic with expertise data analysis and whose task is to provide strategic, pedagogical and sense-making advice to staff and senior management. Given substantial changes within the OU (e.g. new Faculty structure, real-time dashboards, two large-scale adoptions of predictive analytics approaches, increased reliance on analytics), this embedded case study provides an in-depth review of lessons learned of five years of data wrangling. We will elaborate on the design of the new structure, its strengths and potential weaknesses, and affordances to be adopted by other institutions.     

How to measure research efficiency in higher education? Research grants vs. publication output

An ongoing debate in the literature on the efficiency of higher education institutions concerns the indicator for research output for use in empirical analysis. While several studies have chosen to use the number of publications as this indicator, others rely on the amount of research grants. The present study investigates whether both measures lead to a similar assessment of universities. In addition, the number of publications belonging to the 10% and 1% most frequently cited papers in the corresponding subject category and publication year are evaluated. We show that there is a high correlation of efficiency values between the estimations using these indicators. This correlation is slightly higher when the efficiency values result from a data envelopment analysis than when they are determined with a stochastic frontier analysis. The results of this study provide helpful guidelines for researchers evaluating the efficiency of universities and are valueable for decision-makers in science policy.