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.     

基于文本挖掘和技术路线图的技术创新机会发现

本文在介绍文本挖掘和技术路线图研究情况的基础上，探讨如何将文本挖掘和技术路线图结合起来，通过挖掘隐含在科技信息中的知识和联系，并结合技术领域专家，绘制技术路线图，以帮助技术主管发现技术创新的机会。     

过刊全文数据库JSTOR及其特色分析

基于因特网的电子期刊的出版 ,过去比较多地集中在现刊上。但是近年来越来越多的出版商或专业人士意识到 ,实际上许多早年发表的学术论文并没有随着时间的推移而失去其使用价值 ,它们的“有效期”超过人们已有的估计。有统计表明 ,最常被引用的 10篇经济学论文 ,它们的发表时间平均距现在 15年以上 ;而最常被引用的数学论文的发表时间平均距现在 30年以上[1] 。基于这样的认识 ,开始有人把注意力放在学术性期刊过刊全文数据库的开发上 ,例如ElsevierScience出版公司的过刊文档项目(BackfileProject) ,就是要逐步将其出版的所有期刊全部电…     

电子图书文件格式标准化现状及其思考

电子图书的标准化问题已经成为制约电子图书产业发展的重要障碍。文章分析了电子图书文件格式的现状及影响，提出了制定电子图书标准化格式过程中应注意解决的几个问题。     

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.     

Unique-order interpolative coding for fast querying and space-efficient indexing in information retrieval systems

This paper presents a size reduction method for the inverted file, the most suitable indexing structure for an information retrieval system (IRS). We notice that in an inverted file the document identifiers for a given word are usually clustered. While this clustering property can be used in reducing the size of the inverted file, good compression as well as fast decompression must both be available. In this paper, we present a method that can facilitate coding and decoding processes for interpolative coding using recursion elimination and loop unwinding. We call this method the unique-order interpolative coding. It can calculate the lower and upper bounds of every document identifier for a binary code without using a recursive process, hence the decompression time can be greatly reduced. Moreover, it also can exploit document identifier clustering to compress the inverted file efficiently. Compared with the other well-known compression methods, our method provides fast decoding speed and excellent compression. This method can also be used to support a self-indexing strategy. Therefore our research work in this paper provides a feasible way to build a fast and space-economical IRS.     

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。     

OA出版技术进展及对国内OA论文可见度的启示

开放获取(Open Access,OA)出版平台及OA论文的查找定位技术在近5年飞速壮大。虽然学术出版界对OA论文在引用上的优势已达成共识,但是OA论文的传播途径和获取可见度的方式仍然模糊。本文通过分析近年来OA出版平台技术、索引技术及查找定位技术的发展,深入了解它们的运作机制,从而梳理出OA论文出版体系,描绘了OA论文的传播路径,并借此分析国内OA出版在技术上的短板及未来发展方向,提出了提升国内OA论文可见度的具体实施措施,以利于提高我国OA学术出版在国际上的影响力。     

涉嫌犯罪人身份的确立

犯罪嫌疑人与被怀疑有犯罪嫌疑的人之间存在区别。对于犯罪的"初查对象"现行法律未给予相应的名称规定,犯罪嫌疑人的身份在实务中也有扩大化的趋势,造成立案的随意,使"犯罪嫌疑人"的权益得不到应有的保障。"强制措施"的滥用,造成了犯罪嫌疑人身份的错用。犯罪嫌疑人的称呼与现阶段刑事案件的立案审批相配套,涉嫌犯罪人身份的确立对刑事诉讼法的修订具有参考价值。改称涉嫌犯罪人有利于保障涉嫌刑事追诉程序中的人的权益,具有时代意义,是无罪推定原则精神之体现。     

人教版初中、高中数学教材中数学史的调查分析

数学史对数学教育有重要价值.通过对人教版<义务教育课程标准实验教材·数学>(七年级上册～九年级下册)、<普通高中课程标准实验教科书·数学(必修)>A版中数学史的调查分析发现,教材中的数学史在数量上有所增加,选材的视角也有所拓展,但对数学史的处理仍存在简单化倾向.本文认为,应重视数学史的教育价值,在此基础上,应进一步丰富...