Article for a study aimed to develop understanding of the current state of metadata practices in digital collections of archival institutions in the Arabian Gulf region. It also explored perspectives (including attitudes and possible barriers) for development of large-scale regional portals that would facilitate discovery of Arab digital archives (including language collections) by aggregating metadata. It was presented at the 2nd International Workshop on Digital Language Archives held on June 30, 2023 as part of the ACM/IEEE Joint Conference on Digital Libraries 2023.

Article explores the training gap between the way these materials are organized and represented and the understanding of that data – and expectations towards the more functional ways of its organization and representation – by language preservation and revitalization researchers, and by members of language communities. Information resources collected by language archives have unique attributes of importance to their target user groups, and these attributes and their representation are not currently widely addressed by the formal training provided to information professionals. It was presented at the 2nd International Workshop on Digital Language Archives held on June 30, 2023 as part of the ACM/IEEE Joint Conference on Digital Libraries 2023.<

This paper presents results of a study that analyzed representation of dates and time in one of the largest aggregators of digital content in the world -- the Digital Public Library of America (DPLA). The findings demonstrate both similarities and differences in date and time representation across DPLA content hub and service hub provider groups.

This article analyzes item‐level metadata in three language archives by focusing on free‐text metadata: the Endangered Language Archive, Pacific Regional Archive for Digital Sources in Endangered Cultures, and the Archive of the Indigenous Languages of Latin America. The study identified categories of information included in Description metadata fields and the relative distribution of these categories.

This article attempts to identify some of the components that positively affect student motivation in mobile augmented reality (AR) learning experiences to contribute to the design and development of motivational AR learning experiences for the Vocational Education and Training (VET) level of education.

Article uses 4E cognition as a framework to explore creativity in extreme environments. The article examines space arts as a case study through the history, present practices, and future possible arts in the context of humans beyond the Kármán boundary of the Earth’s atmosphere. This article is part of the research topic Creative Performance in Extreme Human Environments: Astronauts and Space

Article asserts that international students face unique challenges in pursuing higher education in a foreign country. To address these challenges and enhance their academic experience, higher education institutions are increasingly exploring the use of artificial intelligence (AI) applications. The research paper explores various AI applications, such as personalized learning experiences, adaptive testing, predictive analytics, and chatbots for learning and research.

Article describes how, since 2008, the End of Term Web Archive has been gathering snapshots of the federal web, consisting of the publicly accessible .gov and .mil websites. This paper describes the decisions made in the creation of these derivatives, the technologies used, and introduces the WARC Metadata Sidecar, which presents a useful approach for creating and storing auxiliary metadata for web archives.

Article describes how the End of Term (EOT) Web Archive Dataset presents a longitudinal dataset of the US federal web which includes publicly available .gov and .mil domains, created during the 2008, 2012, 2016, and 2020 presidential elections in the United States. The authors describe how based on the End of Term Web Archive, this dataset presents 461TB of WARC data and accompanying derivative files in WAT, WET, and CDX format.

This article presents some results of the content analysis study that explores the authority data change over time in response to change in standards. Authority data describes persons, institutions, places, events, and works, as well as relations between them. This study contributes to the understanding of metadata change and its relation to functionality of authority records and improved information access.

Article reporting on how journal articles are presented within the Open Language Archive Community’s (OLAC) OAI-PMH aggregator for language resources. Understanding how secondary journal materials are presented in OLAC records is a first step towards increasing the end-user utility of the OLAC aggregator. It was presented at the 2nd International Workshop on Digital Language Archives held on June 30, 2023 as part of the ACM/IEEE Joint Conference on Digital Libraries 2023.

Article presenting two methods for connecting aggregated records to their source institutional metadata profiles. The use case of the Open Language Archives Community (OLAC) application profile is considered and evaluated. It was presented at the 2nd International Workshop on Digital Language Archives held on June 30, 2023 as part of the ACM/IEEE Joint Conference on Digital Libraries 2023.

Article describes how in digital image processing and steganography, images are often described using edges and local binary pattern (LBP) codes. The authors state that by combining these two properties, a novel hybrid image steganography method of secret embedding is proposed in this paper.

Article discusses how, during the COVID-19 pandemic, US public health authorities and county, state, and federal governments recommended or ordered certain preventative practices, such as wearing masks, to reduce the spread of the disease. The purpose of this study was to understand the variations in public sentiment toward COVID-19 and the recommended or ordered preventive practices from the temporal and spatial perspectives, as well as how the variations in public sentiment are related to geographical and socioeconomic factors.

This article reports preliminary results of the first stage of a research project that seeks to identify the information organization methods and techniques currently offered in the language data archives and the gaps between the tools and techniques available and the needs of actual and potential users of language data archives.

Article features a profile of Julia M. Esparza, AHIP, Medical Library Association President, 2019–2020.

This article presents findings from a series of related studies exploring aspects of Digital Humanities teaching, education, and research in iSchools, often in collaboration with other units and disciplines. Results provide a snapshot of the current state of digital humanities in iSchools which may usefully inform the design and evolution of new DH programs, degrees, and related initiatives.

Article is a study using cross-sectional methodology to investigate information sources and knowledge concerning the ZIKV virus among 300 under-served pregnant Latinas recruited from prenatal care clinics in the North Texas region. Bivariate and multiple logistic regression models are used to investigate associations between the primary outcomes and patient characteristics.

This article is a study investigating fake news included in political discourse of opposing activism hashtags, #Gunreformnow and #NRA (The National Rifle Association) and aims to lay out the process of identifying fake news in the hashtag activism network on Twitter.

Article proposing a computational method to quantify and dissect visual reasoning. The method characterizes spatial and temporal features and identifies common and contrast visual reasoning patterns to extract significant gaze activities. The visual reasoning patterns are explainable and can be compared among different groups to discover strategy differences. Empirical observations show that the method can capture the temporal and spatial features of human visual attention and distinguish expertise level. By revealing task-related reasoning processes, this method demonstrates potential for explaining human visual understanding.

This article presents a systematic literature review of papers published from 1960 to 2019 that illustrate hybrid simulation can be as effective as high fidelity simulators in certain training scenarios while at the same time providing a superior training context to enhance learners patient to care-giver interactions and to better immerse the trainee in the feelings and emotion of the scenario.

This article proposes monsters are documents and examines the coding and decoding of monster documents through a functional ontology lens. This article was presented at the 2020 Annual Meeting of the Document Academy.

Authors of article conduct a content analysis of research on technology use for teaching mathematics to students with disabilities. They applied word networks and structural topic modeling of 488 studies published from 1980 to 2021. Results showed that the words “computer” and “computer-assisted instruction” had the highest degree of centrality in the 1980s and 1990s, and “learning disability” was another central word in the 2000s and 2010s.

Article discusses how, in the era of intelligent applications, Mobile Edge Computing (MEC) is emerging as a promising technology that provides abundant resources for mobile devices. The authors of the article introduce a novel Device-to-Device (D2D)-assisted system to address this challenge.