Article describes how, the goal of ITS is to support learning content, activities, and resources, adapted to the specific needs of the individual learner and influenced by learner’s motivation. This research proposes an intentional model that adopts Map formalism to support personalized learning guidance by considering learner’s motivation.

This article analyzes the Association of Academic Health Sciences Libraries (AAHSL) member libraries’ COVID-19 LibGuides to determine volume and origin of links included. This is a manuscript version of the article. The article was published online November 17, 2022.

This article presents a novel approach of introducing a weighted temporal feature to bias a topic clustering toward articles in a similar time frame, performed over a set of finance journal abstracts from 1974 to 2020 to demonstrate how time can be emphasized in trend detection. The authors detect trending finance topics that are not identifiable when we use a standard clustering approach with no temporal bias.

Article reviewing one particular challenge to data management relevant to South Asia, which is the complexity of names (of individuals, groups, and languages). It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

Article describing a pilot project undertaken at the Computational Resource for South Asian Languages (CoRSAL) which explores a collaborative archiving approach to enable language community members to tell their own stories by adding contextual information to archival materials. It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

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 describing the canal transportation of the different file systems in various combinations of the “Glide path (Gp)” by cone-beam computed tomography (CBCT).

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.

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 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.

This article investigates information transmission networks and news-sharing behaviors regarding COVID-19 on Twitter in Korea. The real time aggregation of social media data can serve as a starting point for designing strategic messages for health campaigns and establishing an effective communication system during this outbreak.

Correction to article changes the name of one of the authors.

Article on the development of a workflow process that can accommodate the range of different language depositors in the Computational Resource for South Asian Languages (CoRSAL). It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

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

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 is from the 26th ACM Conference on Innovation and Technology in Computer Science Education and discusses the design, effectiveness, and curricular impacts of an introductory data science course focused on practical programming skills and allowing students to concurrently complete the course in Python, R, or MATLAB. Students indicated a preference for the multi-language course design and the course became the recommended first programming course for a newly developed and approved undergraduate data science majors.

Article describes how, to reduce the conceptual ambiguity in interdisciplinary knowledge organization systems (KOSs) and enhance interdisciplinary KOS management, this paper proposes a framework for interdisciplinary semantic drift (ISD) detection based on the normal cloud model (NCM). The research indicates the meaning of an interdisciplinary concept will drift from the high KPE discipline to the low KPE discipline as long as interdisciplinary knowledge potential differences (KPD) exist between these two related disciplines.

Article describes how accurately predicting the condition rating of a bridge deck is crucial for effective maintenance and repair planning. This study aims to assess the effectiveness of these algorithms for deck condition rating prediction at the national level.

Article describes how the utilization of dermoscopic analysis is becoming increasingly critical for diagnosing skin diseases by physicians and even artificial intelligence. The authors aimed to develop a domain-specific ontology to formally represent knowledge for certain dermoscopic features.

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.

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.

Conference paper reporting results of the examination of metadata records for Arabic-language eBooks to support ongoing metadata education in the Arabian Gulf region. The results are presented in-context, after introducing the metadata teaching practices at this undergraduate program, and the major Dublin Core skill-building assignment. This is a manuscript version of a published work. Citation information is available for the published version of the work.

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.

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.