Assisting,Instructing, Assessing: 21st Century Student Centered Librarianship

ABSTRACT

For librarians at the University of North Florida, there was a need to move beyond information literacy instruction to one-on-one and small group research consultations to aid in student success. By staffing the research desk with staff and students, librarians were able to open their calendars to allow more time for in-person, phone, and online consultations to aid in meeting the research goals of students at the institution. After assessing the research consultation program for two years, there has been a positive correlation between research consultation usage, satisfaction in completing assignments, and student success measures throughout the university.     

基于深度学习的中文专利自动分类方法研究

[目的/意义] 面向当前国内专利审查和专利情报分析工作中对于海量专利分类的客观需求，设计了7种基于深度学习的专利自动分类方法，对比各种方法的分类效果，从而助力专利分类效率和效果的提升。[方法/过程] 针对传统机器学习方法存在的缺陷，基于Word2Vec、CNN、RNN、Attention机制等深度学习技术，考虑专利文本语序特征、上下文特征以及分类关键特征，设计Word2Vec+TextCNN、Word2Vec+GRU、Word2Vec+BiGRU、Word2Vec+BiGRU+TextCNN等7种深度学习模型，以中国专利为例，选取IPC主分类号的"部"作为分类依据，对比这7种模型与3种传统分类模型在中文专利分类任务中的效果。[结果/结论] 实证研究效果显示，采用考虑语序特征、上下文特征及强化关键特征的深度学习方法进行中文专利分类具有更优的分类效果。     

提升“三力”:深度融合时代科技期刊品牌建设路径探究

在媒体融合逐步走向纵深之际,科技期刊品牌建设的立足点发生了较大变化,使得科技期刊的品牌建设面临着新的挑战。作为品牌建设主体,科技期刊应突破传统品牌建构的路径依赖,充分利用新媒体技术提供的际遇与条件,积极探索新的品牌建设之路。结合媒体深度融合的内在要求以及科技期刊品牌建设的现状,科技期刊重点可以从提升数字连接力、资源整合力、社会嵌入力着手,在与用户、行业、国家和社会发展建立更深层连接以及为其创造更多价值的过程中,不断提升品牌传播力、影响力和公信力,逐步开启深度融合时代的品牌建设之路。     

Wake up Information Literacy Instruction: Ideas for Student Engagement

In this article, three librarians from Santa Fe College, the community college winner of the 2015 ACRL Excellence in Academic Libraries Award, share their successful work in information literacy instruction. While the ACRL award is given for overall achievement, this article focuses upon their creative and varied approaches to instruction, incorporating a wide blend of strategies to reach students across the college. Beginning with targeted approaches to virtual instruction, including broad use of the flipped classroom model, and building in active learning techniques, the librarians at Santa Fe College have built an instruction program that could serve as a model to community college libraries across the country.     

基于机器学习的高校图书馆用户偏好检索系统研究

[目的/意义] 针对大数据环境下高校图书馆检索系统的信息超载问题, 提出一种机器学习方法, 为用户提供个性化的偏好检索服务。[方法/过程] 通过提取用户检索行为大数据中的用户特征, 利用监督机器学习方法, 在线学习可随用户偏好同步变化的自适应检索模型, 预测用户对文献的选择概率, 优化检索结果的排序。[结果/结论] 设计出用户偏好检索原型系统, 介绍用户偏好检索系统工作流程, 对比分析系统效果, 并对系统进行客观评价。     

科技期刊编辑要把“学习上的缺点”当缺点

从社会、单位、个人3个层次阐述科技期刊编辑要把“学习上的缺点”当缺点的重要意义,从主观、客观2个角度剖析出现不把“学习上的缺点”当缺点这一问题的原因,从激发崇尚学习的内动力、提高重新学习的创新力、增强落实学习制度的执行力3个方面探讨解决该问题的对策,从而提高科技期刊编辑的综合素质.     

Library as a Partner in Co-Designing Learning Spaces: A Case Study at Tampere University of Technology,Finland

This article presents a case of co-designed temporary learning spaces at a Finnish academic library, together with the results of a user-survey. The experimental development of the multifunctional spaces offered an opportunity for the library to collaborate with its parent organisation thus broadening the role of the library. Hence, library can be seen as a third player facilitating learning spaces. Additionally, the library's own expertise was strengthened through successful cooperation with the undergraduate students and other actors. The results support prior research, where studying in the library is target-oriented differing from other learning spaces in providing support and resources.     

信息检索决策中的学习规则量化分析——强化模型拟合实验观测

使用学习模型定量分析信息用户检索行为特征,对于扩展传统用户研究的方法、促进学科间融合具有重要意义。本文首先分析了信息用户检索决策中的强化学习特征,并选择了强化学习模型中的Bush-Mosteller模型和Borgers-Sarin模型对用户的检索决策行为形成过程进行模拟。模拟结果表明Borgers-Sarin模型成功捕捉了用户检索行为的形成过程,说明用户学习规则特征表现为将预期与反馈结果进行比较;模型的参数表明用户行为的黏滞性、惯性特征明显。     

高校学习资源中心门户系统的构建研究

学习资源中心将是高校图书馆新的发展形式,是一种资源共享的多媒体学习环境。它建立了知识与用户之间的联系,以集成的方式向用户提供广泛的知识资源和多种多样的个性化服务,方便用户一站式的知识获取、知识交流。学习资源中心门户系统的三大模块——资源组织模块、参考咨询模块、系统管理模块相互作用、不可分割。在具体应用中,应根据应用背景、主要服务对象的需求逐步加以完善。