国家教委“九五”课题:残疾儿童随班就读效果评估研究

残疾儿童的个体差异较大，如何确定并保证残疾儿童的学习潜能在普通课堂上得到充分的开发，需要引起学校、家庭、社会及教、科研工作者的高度重视，需要建立一套系统的评估残疾儿童随班就读效果的指标体系。本文旨在通过对随班就读评估的目的、评估内容、评估方法和成果的分析报告，达到“本课题研究的开题目的，同时也向人们阐明对残疾儿童随班就读效果评估的必要性和紧迫性。     

大学英语教与学中不容忽视的一个环节--单词英文释义的学习

正确理解词义是准确运用词语的先决条件。学生无论是书面表达还是口头表达，许多情况下，由于对词义理解不准确，造成用词不当。其中大多是因为学生过多依赖汉语释义，而忽略英释义。因此，阅读英释义对英语学习具有重要的作用。     

Splicing-site recognition of rice (Oryza sativa L.)DNA sequences

INTRODUCTIONCorrectlypinpointingsplicing sitesingenomicDNAsequencesisnotaneasytask ,whichisofgreatimportancetothegenomeannotationandgenefinding .Intronsaregenerallydividedinto3classes,namelycalssI,classIIandcommonnu cleuspre mRNA .IntronofclassIandIIcango…     

个别化学习及其模式的建立

论述个别化学习的基本涵义、重要意义，提出远程教育中可供选择的个别化学习模式。     

中国彩电总装企业的技术学习

本从产品和工艺技术的角度，总结了中国彩电总装企业的技术学习行为及其特点，指出了总装企业主要是学习了产品的整机设计能力和装配操作技能，导致了总装企业较窄的知识基础，因此，总装企业的“追赶”主要是专注于国内同质且可大批量生产产品的生产能力和国内市场份额的扩张，难以升级到高端和正在增长的差别化产品市场。因此，总装企业需要加强与国内供应商的后向联系，以创造更广和更多样化的知识基础，尤其在关键零部件和生产设备的生产和设计方面。     

团队知识扩散的行为难题与组织学习的内在逻辑

通过对团队知识扩散相关表征的界定,确定了复杂环境下团队知识共享与整合的基本认知。与此同时,对知识扩散行为难题的剖析,引出组织学习是影响其有效配置的内在动力。在此基础上,从学习能力、学习平台、学习效用以及学习氛围等方面充实了团队知识扩散的相关思路。     

Using lexical chains for keyword extraction

Keywords can be considered as condensed versions of documents and short forms of their summaries. In this paper, the problem of automatic extraction of keywords from documents is treated as a supervised learning task. A lexical chain holds a set of semantically related words of a text and it can be said that a lexical chain represents the semantic content of a portion of the text. Although lexical chains have been extensively used in text summarization, their usage for keyword extraction problem has not been fully investigated. In this paper, a keyword extraction technique that uses lexical chains is described, and encouraging results are obtained.     

情报学领域人工智能相关研究的文献计量分析及探析

[目的/意义]作为一门与信息技术密切关联的学科,近年来快速发展的人工智能为情报学带来了诸多影响。有效梳理和整合这些影响的发展脉络与应用场景,强化人工智能在当前情报工作中的角色与作用,能为情报学相关研究的发展提供一定的参考与启示。[研究设计/方法]聚焦情报学领域人工智能相关研究,从高被引论文、文献共引、主题词共现三个维度对人工智能在情报学中的知识基础及其演化和研究热点予以分析与解读。[结论/发现]归纳了人工智能研究对情报学的影响,主要包括促进情报学研究主题的衍生和情报学研究方法的革新两方面,并从理论创新、研究对象拓展、信息服务提升与学科建设四个方面探讨人工智能在情报学领域可能的应用。[创新/价值]通过对情报学领域人工智能相关研究进行深入量化分析和定性研究,探讨和揭示了该主题下研究热点、研究趋势和相关发展规律,为相关领域学者提供一定借鉴与启发。     

基于机器学习的图书馆用户流失影响因素研讨

论文针对图书馆用户流失问题,基于图书馆用户数据,构建用户特征矩阵,利用深度神经网络预测用户流失风险;将存在流失风险的用户作为重点研究对象,根据用户特征,结合S-O-R理论设计图书馆用户流失影响因素模型。采用扎根理论方法设计问卷,提取影响图书馆用户流失的指标因素,并构建结构方程模型进行分析,将技术研究与质性研究相结合,挖掘影响用户流失的核心因素,并在此基础上,构建了图书馆智慧型服务空间设计模型,为图书馆创新服务提供决策支持。     

Application of machine learning techniques to assess the trends and alignment of the funded research output

Research and development activities are regarded as one of the most influencing factors of the future of a country. Large investments in research can yield a tremendous outcome in terms of a country’s overall wealth and strength. However, public financial resources of countries are often limited which calls for a wise and targeted investment. Scientific publications are considered as one of the main outputs of research investment. Although the general trend of scientific publications is increasing, a detailed analysis is required to monitor the research trends and assess whether they are in line with the top research priorities of the country. Such focused monitoring can shed light on scientific activities evolution as well as the formation of new research areas, thus helping governments to adjust priorities, if required. But monitoring the output of the funded research manually is not only very expensive and difficult, it is also subjective. Using structural topic models, in this paper we evaluated the trends in academic research performed by federally funded Canadian researchers during the time-frame of 2000–2018, covering more than 140,000 research publications. The proposed approach makes it possible to objectively and systematically monitor research projects, or any other set of documents related to research activities such as funding proposals, at large-scale. Our results confirm the accordance between the performed federally funded research projects and the top research priorities of Canada.