社会学批评的一种成功实践--王彬彬批评读解

当代著名批评家王彬彬往往以社会学批评方法从事批评实践活动，表现出三方面主要特色：儒宰的入世精神和浩然正气；对道德与人文精神的坚持和对现实的批判；学理性和文学性俱佳的文本形式。他取得了一定的成就，在当代文学批评中自成一家。     

从活动理论看网络合作学习活动的设计

兴起于20世纪20年代的活动理论是理解和构建情境脉络中活动的有益框架,分析活动理论对设计网络环境下的合作学习活动具有现实指导意义。在对网络合作学习的内涵、特点及优势分析的基础上,提出在活动理论指导下,基于网络的合作学习活动的教学设计方法。     

影视字幕文本特征及其翻译策略

论文以当下流行美国影视作品为例,分析了影视字幕的文本特征,总结影视字幕文本的翻译技巧与策略,切实提高影视作品字幕翻译的效率,有效缩短了由语言差异性带来的文化距离.     

译者主体的创造性

译作为翻译活动的主体，应在翻译中发挥其能动参与和积极的创造性作用。本提出“衍生本”的概念，并从译创造性产生的前提、根源和具体实现方式这三个方面论证了译主体创造性的客观存在，认为只有正视这种创造性的客观存在并对其加以积极运用．才能正确地指导翻译活动的进行。     

Personalized learning in iSTART: Past modifications and future design

Abstract

Computer-based learning environments (CBLEs) provide unprecedented opportunities for personalized learning at scale. One such system, iSTART (Interactive Strategy Training for Active Reading and Thinking) is an adaptive, game-based tutoring system for reading comprehension. This paper describes how efforts to increase personalized learning have improved the system. It also provides results of a recent implementation of an adaptive logic that increases or decreases text difficulty based on students’ performance rather than presenting texts randomly. High school students who received adaptive text selection showed increased sense of learning. Adaptive text selection also resulted in greater pre-training to post-training comprehension test gains, especially for less-skilled readers. The findings demonstrate that system-driven, just-in-time support consistent with the goals of personalized learning benefit the efficacy of computer-based learning environments.     

基于网络的工程制图读图系统的研究与实现

基于网络的工程制图读图系统的设计和开发本着易用和实用的原则,系统中使用了多种技术手段,并将具有可交互的、适时显示的虚拟模型引入其中;网页的设计将4个模块：习题原题、习题答案、解题思路、虚拟模型同屏显示,完全符合工程制图课程的教学、实验特点和学生的学习实际.整个系统由具有丰富教学和实践经验的教师亲手完成,具有很强的实用性和推广性.系统实现的关键技术可用于工程制图其他助学系统,也可供其他课程的教学和实验系统所借鉴.     

公共网络与图书馆信息资源现状比较分析

基于 OCL C网络特性描述计划 1998～ 2 0 0 2年度调查数据 ,对公共网络与图书馆信息资源现状在规模与内容含量、国际化进程和元数据使用三个方面进行了比较分析     

跨国公司的知识传导机理研究

本文在阐释跨国公司知识网络内涵的基础上，总结了跨国公司知识产生和运用的管理流程，重点探讨了跨国企业的知识传导机理。     

A hybrid generative/discriminative approach to text classification with additional information

This paper presents a classifier for text data samples consisting of main text and additional components, such as Web pages and technical papers. We focus on multiclass and single-labeled text classification problems and design the classifier based on a hybrid composed of probabilistic generative and discriminative approaches. Our formulation considers individual component generative models and constructs the classifier by combining these trained models based on the maximum entropy principle. We use naive Bayes models as the component generative models for the main text and additional components such as titles, links, and authors, so that we can apply our formulation to document and Web page classification problems. Our experimental results for four test collections confirmed that our hybrid approach effectively combined main text and additional components and thus improved classification performance.     

基于WWW的ProQuest6.0全文数据库检索系统分析

本文以美国ProQuest公司开发的ProQuest6．0全文数据库检索系统为例，主要分析了其检索性能，指出较之以前版本的新增功能所在，并对其特点进行了评价，提出对中文检索系统发展的一点建议。