共查询到20条相似文献，搜索用时 218 毫秒
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在文献检索课的教学过程中引入了LanStar教学系统,对传统授课模式进行了变革,并结合LanStar中适用于文献检索课的主要功能重新进行了教学方法与课堂结构的设计。引入LanStar的意义在于提高学生学习的积极性,杜绝"后排"现象;加强师生交互,提高授课效率;促进教师专业素质和多媒体教学系统的升级。 相似文献
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文献检索课教学中知识整合是一个动态的、复杂的过程,是提升学生信息素质能力的重要途径。结合相关文献研究,对传统文献检索课与基于知识整合的文献检索课进行比较分析,构建了基于知识整合的文献检索课教学模式,该模式为文献检索课教学研究提供了一般的方法论,对文献检索课教学改革起到一定参考作用。 相似文献
3.
参与式教学法在文献检索课中的应用尝试 总被引：1，自引：0，他引：1
根据文献检索课的教学目的和参与式教学法的特点，教师通过问题解决型教学模式、让学生参与课堂授课、10分钟演讲，以及让学生通过教学网站等方式参与到文献检索课的教学中来，从而实现学生主体地位的回归。最后，谈谈自己在教学中的体会。 相似文献
4.
对高校文献检索课教学模式进行了探讨。分析了现阶段高校文献检索课存在的问题,介绍了把Web2．0技术中常用的社会性软件应用于文献检索课实际中的几种教学方式,论述了web2．0相关技术在文献检索课教学中的应用,为教师引导学生转变传统的学习模式创造了有利条件。 相似文献
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PBL教学法是一种基于问题学习的教学方法,与传统教学方法相比,能够激发学生的学习兴趣,提高学生自主学习与解决实际问题的能力.以大连海事大学航海专业为例,探讨了PBL教学模式在文献检索课教学改革中的应用,为更好地培养学生的综合信息素质,提高文检课的教学质量提供新的思路. 相似文献
6.
网络环境下护理专业文献检索课的教学改革 总被引：1，自引：0，他引：1
目的：文章探讨在网络环境下,针对护理专业特点,医学文献检索教学的改革。方法：从护理专业开设文献检索课的重要性入手,结合医学文献检索课的专业特点,具体分析文献检索课在教学内容、教学方法以及考试方式等方面的改革措施。结果：采取优化教材内容;改革教学模式以及重视实际操作的考试方式等形式开展检索教学。结论：实践表明,此种教学模式,对护理专业学生利用信息、整合信息的能力培养具有较好效果。 相似文献
7.
文献检索课是高校培养大学生综合能力的重要课程。在文献检索课教学实践中,应用创意教学理念,不仅有利于克服传统教学的弊端,形成“以学生为中心”的新型教学模式,而且还利于实现课程、教师和学生的整合,从而最终实现文献检索课的教学目标。最后,对在教学过程中应用创意教学的策略进行了探讨。 相似文献
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Web3.0环境下蕴含的理念和技术改变了读者的信息行为,深刻地影响了高校图书馆读者教育培训工作,尤其是文献检索课.为此,结合Web3.0的理念和技术的内涵与特征及其对文献检索课的影响因素,构建了Web3.0环境下高校图书馆文献检索课教学创新模式,从利用3D视频再现学生学习真实情境、充分借助教育游戏服务激发学生的学习兴趣、强化泛在学习诱导学生学习的积极因素、Web3.0环境下文献检索课平台构建四方面详细地探讨了高校图书馆文献检索课教学改革的方略,以提升高校图书馆读者教育培训绩效的效果. 相似文献
9.
基于“5E”教学模式的文献检索课探析 总被引：17，自引：1，他引：16
分析传统的文献检索课教学存在的诸多弊病,认为改革文献检索课教学模式和教学方法已势在必行,而在建构主义观点下的“5E”教学模式为文献检索课教学改革提供了有益的思路;介绍“5E”教学模式的基本程序,即参与-探究-解释-精制-评价;结合具体教学检索实例和学生的专业学习需求,利用“5E”教学模式进行教学设计,以探讨其具体应用。 相似文献
10.
文献检索课中"研究性学习"与"接受性学习"的整合 总被引：8，自引：0，他引：8
文献检索课是一门实践性很强的课程,需要学生主动参与,而研究性学习强调学生主动去发现知识,它应成为教学的主流方法。但是对于文献检索中的基础知识等内容,接受性学习方法确是经济有效的,将二者有机结合,才能最大限度开发学生潜能。 相似文献
11.
基于典型工作任务的文献检索教学 总被引：2，自引：0，他引：2
当前国家示范高职院校的课程改革层层深入,在实践性极强的文献检索课教学中应用典型工作任务法效果优于传统模式,对强化学生网络信息收集、整理、分析的能力很有作用。文章结合实例介绍文献检索课程重塑过程中典型工作任务如何设置,以便让学生在掌握专业能力的同时,提升方法能力和社会能力,从而把单向的静态式教学变成全体学生主动参与的互动式教学。 相似文献
12.
In information retrieval research, models and systems traditionally assume that a single person is querying and reviewing the results. However, several empirical studies of professional practice identified collaboration during IR as everyday work patterns in order to solve a shared information need and to benefit from the diverse expertise and experience of the team members. Moreover, most IR systems that are employed in professional work routines are designed for individual use and prototype collaborative systems are too limited to support use in todays work practice. To bridge this gap, this papers develops and formalizes a decision theoretic approach towards supporting a team of people that explicitly set out together to resolve a shared information need. We develop a formal cost model for collaborative IR that considers the trade-off between estimated relevance of a document as well as estimated document redundancy. From this cost model, we use a decision theoretic approach to derive the notion of activity suggestions, that is, a formal optimum criterion that describes optimum collaboration strategies in IR as the solution of an integer linear program. Those collaboration strategies are suggested to team members with the aim to facilitate the collaborative performance of information retrieval tasks. We demonstrate the application of our model by means of search result division in two collaborative search tasks. In the conducted experiments, we study the effects of different domain knowledge and resulting relevance assessments of team members in four different conditions. The gathered results indicate that our approach can improve the retrieval effectiveness of teams in recall-oriented tasks. 相似文献
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14.
在现有的裁判文书检索系统上,非专业领域的用户检索具有局限性。目前,法律领域的智能检索仅在基于裁判文书的法律条文的推荐和分类上开展了研究,缺乏对裁判文书自动推荐的相关研究,因此,本文提出了一种利用类新闻的事实性文本智能推荐裁判文书的方法,结合目前的研究工作,总结裁判文书的结构和内容特征,利用类新闻的事实性文本模拟非法律专业用户的检索查询式,构建含有结构内容特征的裁判文书语料库,并自动推荐相关裁判文书文档。结果显示,利用裁判文书的法院意见结构内容特征,对新闻语料进行特征词表示之后,LambdaMART模型在文本匹配结果上表现良好,优于传统的全文检索技术。 相似文献
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[目的/意义]从信息科学的信息背景框架、知识背景框架和智能背景框架构建角度研究图书馆职业能力在人类知识活动中的价值与意义。[方法/过程]考察传统图书馆职业活动中的文献检索语言、目录索引、文摘综述等职业能力在文献信息背景框架构建中的功能作用,分析数字图书馆时代图书馆知识组织、知识关联、知识服务职业能力与知识背景框架构建的关系,讨论后数字图书馆时代智能背景框架建设要诣及其对图书馆职业能力发展的期待。[结果/结论]研究表明：图书馆职业能力随图书馆功能变革不断发展,图书馆职业能力的核心内容与"信息-知识-智能"转换过程环环相扣,对"三个框架"构建起到示范、引领、探索的积极作用。 相似文献
16.
Most recent document standards like XML rely on structured representations. On the other hand, current information retrieval systems have been developed for flat document representations and cannot be easily extended to cope with more complex document types. The design of such systems is still an open problem. We present a new model for structured document retrieval which allows computing scores of document parts. This model is based on Bayesian networks whose conditional probabilities are learnt from a labelled collection of structured documents—which is composed of documents, queries and their associated assessments. Training these models is a complex machine learning task and is not standard. This is the focus of the paper: we propose here to train the structured Bayesian Network model using a cross-entropy training criterion. Results are presented on the INEX corpus of XML documents. 相似文献
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In this paper, a novel neighborhood based document smoothing model for information retrieval has been proposed. Lexical association between terms is used to provide a context sensitive indexing weight to the document terms, i.e. the term weights are redistributed based on the lexical association with the context words. A generalized retrieval framework has been presented and it has been shown that the vector space model (VSM), divergence from randomness (DFR), Okapi Best Matching 25 (BM25) and the language model (LM) based retrieval frameworks are special cases of this generalized framework. Being proposed in the generalized retrieval framework, the neighborhood based document smoothing model is applicable to all the indexing models that use the term-document frequency scheme. The proposed smoothing model is as efficient as the baseline retrieval frameworks at runtime. Experiments over the TREC datasets show that the neighborhood based document smoothing model consistently improves the retrieval performance of VSM, DFR, BM25 and LM and the improvements are statistically significant. 相似文献
18.
��[Purpose/significance] Archival document compilation is the main way to bring the value of archives into full play. The establishment of the competency model of archival compilers in the digital age is of great significance to the selection of qualified compilers, the maximization of the human cost of archival institutions and the improvement of the quality of archival document compilation products.[Method/process] In this study, competency factors were extracted by means of analysis on the existing documents and the working process of archival document compilation and revised by consulting experts. The research investigated archives practitioners,researchers and educators via questionnaire survey, used exploratory factor analysis to reduce the dimension of the data. The final model was constructed by referring to the quality iceberg model and onion model.[Result/conclusion] This paper put forward 21 competency factors of archival document compilers in the digital age, and integrated them into four dimensions:professional awareness, knowledge, professional skills and general ability. Considering the overall strategy of archival undertakings and the digital age, the competency model of archival document compilers was established. 相似文献
19.
To cope with the fact that, in the ad hoc retrieval setting, documents relevant to a query could contain very few (short)
parts (passages) with query-related information, researchers proposed passage-based document ranking approaches. We show that several of
these retrieval methods can be understood, and new ones can be derived, using the same probabilistic model. We use language-model
estimates to instantiate specific retrieval algorithms, and in doing so present a novel passage language model that integrates information from the containing document to an extent controlled by the estimated document homogeneity. Several document-homogeneity measures that we present yield passage language models that are more effective than the standard
passage model for basic document retrieval and for constructing and utilizing passage-based relevance models; these relevance models also outperform a document-based relevance model. Finally, we demonstrate the merits in using the
document-homogeneity measures for integrating document-query and passage-query similarity information for document retrieval. 相似文献