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Tech Tools in Pandemic-Transformed Information Literacy Instruction 大流行转化信息素养教学中的技术工具
IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-12-19 DOI: 10.6017/ital.v41i4.15383
Amanda Rybin Koob, Kathia Salomé Ibacache Oliva, Michael Williamson, Marisha Lamont-Manfre, Addison Hugen, Amelia Dickerson
Inspired by pandemic-transformed instruction, this paper examines the digital accessibility of five tech tools used in information literacy sessions, specifically for students who use assistive technologies such as screen readers. The tools are Kahoot!, Mentimeter, Padlet, Jamboard, and Poll Everywhere. First, we provide an overview of the Americans with Disabilities Act (ADA) and digital accessibility definitions, descriptions of screen reading assistive technology, and the current use of tech tools in information literacy instruction for student engagement. Second, we examine accessibility testing assessments of the five tech tools selected for this paper. Our data show that the tools had severe, significant, and minor levels of digital accessibility problems, and while there were some shared issues, most problems were unique to the individual tools. We explore the implications of tech tools’ unique environments as well as the importance of best practices and shared vocabularies. We also argue that digital accessibility benefits all users. Finally, we provide recommendations for teaching librarians to collaborate with campus offices to assess and advance the use of accessible tech tools in information literacy instruction, thereby enhancing an equitable learning environment for all students.
受大流行病转化教学的启发,本文研究了信息素养课程中使用的五种技术工具的数字可及性,特别是针对使用屏幕阅读器等辅助技术的学生。这些工具太棒了!、Mentimeter、Padlet、Jamboard和Poll Everywhere。首先,我们概述了《美国残疾人法案》(ADA)和数字无障碍定义,描述了屏幕阅读辅助技术,以及目前在学生参与的信息素养教学中使用的技术工具。其次,我们检查了本文选择的五种技术工具的可访问性测试评估。我们的数据显示,这些工具有严重的、显著的和轻微的数字可访问性问题,虽然有一些共同的问题,但大多数问题是单个工具独有的。我们探讨了技术工具独特环境的含义,以及最佳实践和共享词汇表的重要性。我们还认为,数字可访问性有利于所有用户。最后,我们为教学图书馆员提供了与校园办公室合作的建议,以评估和推进信息素养教学中无障碍技术工具的使用,从而为所有学生提供公平的学习环境。
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引用次数: 2
Spatiotemporal Distribution Change of Online Reference During the Time of COVID-19 新冠肺炎期间网络参考文献时空分布变化
IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-12-19 DOI: 10.6017/ital.v41i4.15097
Thomas Gerrish, N. Kong
The goal of this project was to identify the impact of the COVID-19 pandemic on the spatiotemporal distribution of the library’s online patrons, so that we could assess if the scheduled library reference hours are meeting the needs of the academic community. We collected each online reference patron’s location information via their IP address, as well as the timestamp of each online reference instance. The spatiotemporal distribution patterns were analyzed and compared before and after in-person instruction was suspended due to COVID-19 distance protocols and a closing of the campus in the 2020 spring semester. The results show that the geographic origins of reference questions redistributed after COVID-19 protocols were initially implemented and the university community underwent a temporary geographical redistribution. Reference question origins tended to move away from campus to other areas of the state, other states, and internationally. This population redistribution suggested that the library could adjust the online reference schedule to provide better access and service to patrons.
该项目的目标是确定新冠肺炎大流行对图书馆在线读者时空分布的影响,以便我们能够评估预定的图书馆参考时间是否满足学术界的需求。我们通过每个在线参考客户的IP地址以及每个在线参考实例的时间戳收集了他们的位置信息。在2020年春季学期因新冠肺炎远程协议和校园关闭而暂停住院教学前后,对时空分布模式进行了分析和比较。结果表明,在新冠肺炎协议最初实施后,参考问题的地理来源重新分配,大学社区经历了临时的地理重新分配。参考问题的起源往往从校园转移到该州的其他地区、其他州和国际上。这种人口再分配表明,图书馆可以调整在线参考时间表,为读者提供更好的访问和服务。
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引用次数: 0
Digitization of Libraries, Archives, and Museums in Russia 俄罗斯图书馆、档案馆和博物馆的数字化
IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-12-19 DOI: 10.6017/ital.v41i4.13783
Heesop Kim, Nadezhda Maltceva
This paper discusses the digitization of cultural heritage in Russian libraries, archives, and museums. In order to achieve the research goals, both quantitative and qualitative research methodologies were adopted to analyze the current status of legislative principles related to digitization through the literature review and the circumstance of the latest projects related to digitization through the literature and website review. The results showed that these institutions seem quite successful where they provide a wide range of services for the users to access the digital collections. However, the main constraints on digitization within libraries, archives, and museums in Russia are connected with the scale of the work, dispersal of rare books throughout the country, and low level of document usage.
本文讨论了俄罗斯图书馆、档案馆和博物馆的文化遗产数字化。为达到研究目的,采用定量与定性相结合的研究方法,通过文献综述分析数字化相关立法原则的现状,通过文献和网站综述分析最新的数字化相关项目情况。结果表明,这些机构在为用户访问数字馆藏提供广泛的服务方面似乎相当成功。然而,俄罗斯图书馆、档案馆和博物馆数字化的主要制约因素与工作规模、全国各地罕见书籍的分散以及文献使用水平低有关。
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引用次数: 0
A Library Website Migration 图书馆网站迁移
IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-12-19 DOI: 10.6017/ital.v41i4.14801
Isabel Vargas Ochoa
This article provides a background on the migration of the California State University (CSU), Stanislaus library website from an open-source platform to a content management system specifically designed for library websites. Before the migration, there was a trial of different content management systems (CMS), a student usability study, and consultations with outside web and systems librarians to acquire better insight on their experiences migrating a library website and their familiarity with the different CMS trialed. The evaluation process, website design, and usability study began before the pandemic and the global shift to remote services. However, despite this shift, the timeline for the migration was not altered and the migration was completed as planned. Within a year, the library website migration planning, designing, trialing, and structural organization was completed using a modified waterfall model approach.
本文介绍了加州州立大学(CSU) Stanislaus图书馆网站从开源平台迁移到专门为图书馆网站设计的内容管理系统的背景。在迁移之前,对不同的内容管理系统(CMS)进行了试验,对学生进行了可用性研究,并与外部网络和系统图书管理员进行了磋商,以更好地了解他们迁移图书馆网站的经验,以及他们对不同CMS试验的熟悉程度。评估过程、网站设计和可用性研究始于疫情大流行和全球转向远程服务之前。然而,尽管发生了这种变化,迁移的时间线并没有改变,并且迁移按照计划完成了。在一年的时间里,图书馆网站迁移计划、设计、试验和结构组织使用改进的瀑布模型方法完成。
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引用次数: 0
Navigating Uncharted Waters 在未知水域航行
IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-09-19 DOI: 10.6017/ital.v41i3.14719
Annie Wu, Taylor Davis-Van Atta, Bethany Scott, Anne M. Washington, Santi Thompson, Jerrell Jones, Andrew Weidner, A. L. Ramirez, Marian Smith
In 2019, the University of Houston Libraries formed a Theses and Dissertations Digitization Task Force charged with digitizing and making more widely accessible the University’s collection of over 19,800 legacy theses and dissertations. Supported by funding from the John P. McGovern Foundation, this initiative has proven complex and multifaceted, and one that has engaged the task force in a broad range of activities, from purchasing digitization equipment and software to designing a phased, multiyear plan to execute its charge. This plan is structured around digitization preparation (phase one), development of procedures and workflows (phase two), and promotion and communication to the project’s targeted audiences (phase three). The plan contains step-by-step actions to conduct an environmental scan, inventory the theses and dissertations collections, purchase equipment, craft policies, establish procedures and workflows, and develop digital preservation and communication strategies, allowing the task force to achieve effective planning, workflow automation, progress tracking, and procedures documentation. The innovative and creative approaches undertaken by the Theses and Dissertations Digitization Task Force demonstrated collective intelligence resulting in scaled access and dissemination of the University’s research and scholarship that helps to enhance the University’s impact and reputation.
2019年,休斯顿大学图书馆成立了一个论文和学位论文数字化工作组,负责数字化和更广泛地访问该大学收藏的19800多篇遗留论文。在约翰·P·麦戈文基金会的资助下,这一举措已被证明是复杂和多方面的,它使工作队参与了一系列广泛的活动,从购买数字化设备和软件到设计一个分阶段的多年计划来执行其职责。该计划围绕数字化准备(第一阶段)、程序和工作流程的开发(第二阶段)以及向项目目标受众的宣传和沟通(第三阶段)展开。该计划包括进行环境扫描、清点论文集、购买设备、制定政策、制定程序和工作流程以及制定数字保存和沟通策略的分步行动,使工作组能够实现有效的规划、工作流程自动化、进度跟踪和程序文件编制。论文和论文数字化工作组采取的创新和创造性方法展示了集体智慧,从而扩大了大学研究和学术的获取和传播,这有助于提高大学的影响力和声誉。
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引用次数: 6
An Omeka S Repository for Place- and Land-Based Teaching and Learning Omeka S存储库,用于基于地点和陆地的教学
IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-09-19 DOI: 10.6017/ital.v41i3.15123
Neah Ingram-Monteiro, Rowena McKernan
Our small community college library developed a learning object repository to support a cross-institutional, land-based, multidisciplinary academic initiative using the open-source platform Omeka S. Drawing on critical, feminist, and open practices, we document the relational labor, dialogue, and tensions involved with this open education project. This case study shares our experience with tools and processes that may be helpful for other small-scale open education initiatives, including user-centered iterative design, copyright education, metadata design, and user-interface development in Omeka S.
我们的小型社区大学图书馆开发了一个学习对象库,以支持使用开源平台Omeka S的跨机构、基于陆地、多学科的学术倡议。我们借鉴批判性、女权主义和开放实践,记录了这个开放教育项目所涉及的关系劳动、对话和紧张关系。本案例研究分享了我们在工具和流程方面的经验,这些工具和流程可能有助于其他小型开放教育计划,包括Omeka S中以用户为中心的迭代设计、版权教育、元数据设计和用户界面开发。
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引用次数: 0
The First 500 Mistakes You Will Make While Streaming on Twitch.tv 你在Twitch.tv上流媒体时会犯的前500个错误
IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-09-19 DOI: 10.6017/ital.v41i3.15475
Chris Markman, Kasper Kimura, Molly Wallner
Three librarians at the Mitchell Park branch of the Palo Alto City Library detail two years of lessons learned while streming a virtual event series on Twitch.tv for the first time. This series, titled Teach a Librarian How to Play Videogames, began at the start of the COVID-19 pandemic. We hope this article will inspire you to try something new with your library events, and encourage readers to learn from these mistakes and build off our success.
帕洛阿尔托市图书馆米切尔公园分馆的三名图书管理员详细介绍了两年来在Twitch上直播虚拟活动系列时学到的经验教训。第一次看电视。本系列题为《教图书管理员如何玩电子游戏》,始于COVID-19大流行之初。我们希望这篇文章能够激励您在图书馆活动中尝试一些新的东西,并鼓励读者从这些错误中吸取教训,以我们的成功为基础。
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引用次数: 0
Perceived Quality of Reference Service with WhatsApp WhatsApp的参考咨询服务质量感知
IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-09-19 DOI: 10.6017/ital.v41i3.14325
Yan Guo, A. H. C. Lam, Dickson K. W. Chiu, Kevin K. W. Ho
Academic libraries are experiencing significant changes and making efforts to deliver their service in the digital environment. Libraries are transforming from being places for reading to extensions of the classroom and learning spaces. Due to the globalized digital environment and intense competition, libraries are trying to improve their service quality through various evaluations. As reference service is crucial to users, this study explores user satisfaction towards the reference service through WhatsApp, a social media instant messenger, at a major university in Hong Kong and discusses the correlation between the satisfaction rating and three variables. Suggestions and recommendations are raised for future improvements. The study also sheds light on the usage of reference services through instant messaging in other academic libraries.
学术图书馆正在经历重大变革,并努力在数字环境中提供服务。图书馆正在从阅读场所转变为教室和学习空间的延伸。由于全球化的数字环境和激烈的竞争,图书馆试图通过各种评估来提高其服务质量。由于参考咨询服务对用户至关重要,本研究通过社交媒体即时通讯工具WhatsApp在香港一所主要大学调查用户对参考咨询服务的满意度,并讨论满意度评级与三个变量之间的相关性。对未来的改进提出了建议和建议。该研究还揭示了其他学术图书馆通过即时通讯使用参考服务的情况。
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引用次数: 15
Letter from the Editors (September 2022) 编辑来信(2022年9月)
IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-09-19 DOI: 10.6017/ital.v41i3.15559
K. Varnum, Marisha C. Kelly
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引用次数: 0
Using Machine Learning and Natural Language Processing to Analyze Library Chat Reference Transcripts 利用机器学习和自然语言处理分析图书馆聊天参考文献
IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2022-09-19 DOI: 10.6017/ital.v41i3.14967
Yongming Wang
The use of artificial intelligence and machine learning has rapidly become a standard technology across all industries and businesses for gaining insight and predicting the future. In recent years, the library community has begun looking at ways to improve library services by applying AI and machine learning techniques to library data. Chat reference in libraries generates a large amount of data in the form of transcripts. This study uses machine learning and natural language processing methods to analyze one academic library’s chat transcripts over a period of eight years. The built machine learning model tries to classify chat questions into a category of reference or nonreference questions. The purpose is to predict the category of future questions by the model with the hope that incoming questions can be channeled to appropriate library departments or staff.
人工智能和机器学习的使用已迅速成为所有行业和企业获得洞察力和预测未来的标准技术。近年来,图书馆界开始寻找通过将人工智能和机器学习技术应用于图书馆数据来改善图书馆服务的方法。图书馆中的聊天参考会以转录本的形式生成大量数据。本研究使用机器学习和自然语言处理方法分析了一所大学图书馆八年来的聊天记录。所构建的机器学习模型试图将聊天问题分类为参考问题或非参考问题。其目的是通过该模型预测未来问题的类别,希望传入的问题能够引导到适当的图书馆部门或工作人员。
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引用次数: 5
期刊
Information Technology and Libraries
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