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.

Data management plan for the grant, "Advancing Resources for Cultural Heritage, Inclusion, and Visibility for ALL Communities - Minority Serving Institutions."

This presentation was presented as part of a panel on "The Benefits and Challenges of Allied Programs and Specializations in LIS Units" as part of the opening plenary panel at the 2018 Association for Library and Information Science Education (ALISE) Conference. This presentation discusses the rewards and challenges of Library and Information Science (LIS) programs, with a detailed overview of LIS programs offered at the University of North Texas.

Presentation from a panel, "Considering Individual and Community Contexts Within Information Pedagogy, Scholarship, and Practice," that was held virtually for the 83rd Annual Meeting of the Association for Information Science & Technology (ASIS&T). This portion of the panel focuses on the author's research into community-based language research (CBLR) and the Lamkang language.

This paper explores how libraries use data analytics for decision-making on various aspects of day-to-day library operations

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.

Data collected in order to analyze Association of Academic Health Sciences Libraries (AAHSL) member libraries’ COVID-19 LibGuides to determine quantity and origin of links included. The data set includes information on AAHSL member libraries, the stratified sample, and links/structure of applicable LibGuides.

This poster presents data on faculty members' awareness of open access publishing, based on faculty age, college, rank, and status.

Poster paper for the 2017 International Conference on Knowledge Management. This paper examines the challenges of data managements and use in K-12 education through the technical, knowledge, application, climate and cultural aspects.

Poster for the 2017 International Conference on Knowledge Management. This poster examines the challenges of data managements and use in K-12 education through the technical, knowledge, application, climate and cultural aspects.

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.

Working paper exploring ChatGPT. It begins with an introduction to ChatGPT and then proceeds into a transcript of a conversation with the platform about it and related AI technologies’ impact on the future of scholarly publishing, before concluding with some discussion on the further implications.

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.

Data management plan for the grant "Collaborative Research: CISE-MSI: RCBP-RF: CPS, CNS: Emergency Response and Evacuation Training for Active Shooter Events."

Data management plan for the grant, "Collaborative Research: Diversifying Human-Centered Data Science through the Research and Design of Ethical Games." This project studies collaborative learning in a virtual setting for groups of peers with conflicting methodological cultures and diverse backgrounds. An additional artifact of this two-year, interdisciplinary project will be a prototype of an educational game, targeted towards the underrepresented communities and the greater public, that will bring more people into critical conversations about the roles of AI and data science in our society. The primary aim of this research is the production of novel theories in learning sciences regarding collaborative learning in the face of diverse backgrounds and cultural norms.

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.

Data management plan for the grant, "Community Memory and Language Archiving & Curation Training."

Poster on a comparative analysis of data literacy competency frameworks. Seven competency frameworks were selected for in-depth analysis, and the results are compiled in a table. This work is part of an Institute of Museum and Library Services (IMLS) grant. It was presented at the 2022 Association for Library and Information Science Education (ALISE) Annual Conference held October 24-26, 2022.

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.

Data management plan for the grant, "Connecting Communities with Libraries, Archives, and Historians Through Oral Histories." The University of North Texas (UNT) Department of Information Science, partnering with the UNT Oral History Program, will host a series of forums to identify best practices and strategies to respond to challenges around building, implementing, preserving, and accessing community oral history projects. The project team will convene librarians, archivists, oral history practitioners, public historians, community-based memory workers, and others working in oral history to identify good practices, share challenges and lessons learned, and prepare an actionable roadmap for building, implementing, preserving, and sustaining community oral history projects.

Data documenting a sample of 200 U.S. public libraries. Each library's website was content analyzed to 1) determine if it provides online consumer health information (CHI) sources and, if yes, 2) describe eight characteristics of the CHI sources.

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.