Investigating Factors that Affect Faculty Attitudes towards Participation in Open Access Institutional Repositories (open access)

Investigating Factors that Affect Faculty Attitudes towards Participation in Open Access Institutional Repositories

Open access institutional repositories (OA IRs) are electronic systems that capture, preserve, and provide access to the scholarly digital work of an institution. As a new channel of scholarly communications IRs offer faculty a new way to disseminate their work to a wider audience, which in turn can increase the visibility to their work and impact factors, and at the same time increase institutions prestige and value. However, despite the increased popularity of IRs in numbers, research shows that IRs remain thinly populated in large part due to faculty reluctance to participate. There have been studies on the topic of open access repositories with the focus on external factors (social or technological context) that affect faculty attitudes towards participation in IRs, and there is a lack of understanding of the internal factors and the psychology of the reluctance. The goal of this mix method study was to identify the overall factors that affect faculty attitudes towards participation in IRs and examine the extent to which these factors influenced faculty willingness to participate in IRs. First, from literature review and the Model of Factors Affecting Faculty Self-Archiving this study identified eleven factors that influenced faculty members' intention to participate in OA …
Date: December 2017
Creator: Tmava, Ahmet Meti
System: The UNT Digital Library
The Effects of Student-Perceived Instructor Demotivating Behaviors on Doctoral Students' Information Seeking Behaviors (open access)

The Effects of Student-Perceived Instructor Demotivating Behaviors on Doctoral Students' Information Seeking Behaviors

In their studies on student motivation in th4e 1990s, Gorham & Christophel and Christophel & Gorham found that students perceived their own demotivation to be caused by instructor behaviors. While there are studies that explore the topic of student demotivation and other studies that illustrate the great influence instructors have on student information seeking behaviors, research focusing on the connection between these two concepts is almost nonexistent. Using Gorham & Christophel's concept of instructor-owned student demotivation, this mixed-methods study sought to identify which instructor behaviors doctoral computer science and information science students found demotivating and to what extent their perceptions of these demotivating instructor behaviors influenced their information seeking behaviors in a face-to-face classroom. Demographic and student-perceived demotivating instructor behavior surveys along with semi-structured interviews and follow-up questions were used to collect data. The surveys will be analyzed using descriptive statistics in Excel, and the semi-structured interviews and follow up questions were analyzed using content analysis and Colaizzi's method of phenomenological enquiry in NVivo. The findings showed that instructor demotivating behaviors not only influence student information seeking behaviors in the classroom, but they also can lead to lasting effects on the student. In addition, the participants have expectations of instructor …
Date: December 2016
Creator: Cantu, Brenda Ann
System: The UNT Digital Library
Building an Understanding of International Service Learning in Librarianship (open access)

Building an Understanding of International Service Learning in Librarianship

From the very beginning, library education has been a mixture of theory and practice. Dewey required apprenticeships to be part of the first library school at the University of Chicago as a method to indoctrinate new professional. Today, acculturation is incorporated into the professional education through a large variety of experiential learning techniques, including internships, practicum, field work, and service learning projects, all of which are designed to develop some level of professional skills within an information organization. But, what is done for understanding library culture? It is said that one cannot truly recognize the extent of one's own cultural assumptions, until they have experienced another. This study followed a group of LIS graduate students that took that next step – going to Russia. By employing a critical hermeneutic methodology, this study sought to understand what value students gain by from working on an assessment project in an international school library. Using a horizon analysis, the researcher established the worldview of participants prior to their departure, analyzed their experience through post-experience interviews, and constructed an understanding of value. Among other concepts, the researcher looked specifically to see whether "library cultural competency", understanding library culture in global context, was developed through …
Date: December 2016
Creator: Walczyk, Christine
System: The UNT Digital Library
Costly Ignorance: The Denial of Relevance by Job Seekers: A Case Study in Saudi Arabia (open access)

Costly Ignorance: The Denial of Relevance by Job Seekers: A Case Study in Saudi Arabia

Job centers aid businesses seeking qualified employees and assist job seekers to select and contact employment and training services. Job seekers are also offered the opportunity to assess their skills, abilities, qualifications, and readiness. Furthermore, job centers ensure that job seekers are complying with requirements that they must meet to benefit from job assistance programs such as unemployment insurance. Yet, claimants often procrastinate and/or suspend their job search efforts even though such actions can make them lose their free time and entitlements, and more importantly they may lose the opportunity to take advantage of free information, services, training, and financial assistance for getting a job to which they have already made a claim. The current work looks to Chatman's "small worlds" work, Johnson's comprehensive model of information seeking, and Wilson's "costly ignorance" construct for contributions to understanding such behavior. Identification of a particular trait or set of traits of job seekers during periods of unemployment will inform a new Job Seeking Activities Model (JSAM). This study purposely examines job seeker information behavior and the factors which influence job seekers' behavior, in particular, family tangible support as a social norm effect. A mixed method, using questionnaires for job hunting completers and …
Date: December 2016
Creator: Alahmad, Badr Suleman
System: The UNT Digital Library
A Comparison of Plaintiff and Defense Expert Witness H-Index Scores in Mild Traumatic Brain Injury Civil Litigation (open access)

A Comparison of Plaintiff and Defense Expert Witness H-Index Scores in Mild Traumatic Brain Injury Civil Litigation

This study examines the background and qualifications of plaintiff and defense experts using the H-Index score as quantification of expert background and qualifications. The goal is to better understand the similarities and differences among the professionals offering paid expert witness testimony in mild traumatic brain injury (mTBI) civil litigation. In this quantitative study, descriptive statistics include the mean and standard deviation scores for the data to support examining measures of central tendency and variance, respectively. The study includes the use of logistic regression and the Wilcoxon signed-rank test, and their statistical assumptions were tested to determine whether they would be used or if it was more appropriate to use a non-parametric test. The study included two research questions: How do the qualifications of plaintiff and defense expert witnesses in mild traumatic brain injury civil litigation compare? and to what extent does a higher h-index correlate with a favorable litigation outcome in a mild traumatic brain injury case? The findings for the hypothesis tests associated with the research questions led to the acceptance of the null hypothesis in each test. There was a lack of asymptotic significance in Hypothesis 1 and a lack of significance in Hypothesis 2. The findings from …
Date: August 2022
Creator: Victor, Elise C
System: The UNT Digital Library
Understanding the Relationship between Critical Literacy, Cultural Literacy, and Religious Literacy for Second-Generation Immigrants (open access)

Understanding the Relationship between Critical Literacy, Cultural Literacy, and Religious Literacy for Second-Generation Immigrants

This study explores information seeking behavior of second-generation Muslim immigrants utilizing factors such as critical, cultural, and religious literacy skills. The study examined the second-generation immigrants' ability to balance their parents' and grandparents' native culture and traditions with the culture and traditions of their country. The interview questions were designed using the cognitive authority theory and the figured worlds theory that provides an explanation for the mentality of those who are in environments influenced by culture or religion. An interesting main finding of the study is that participants sought more religious-based rather than culturally-based information. Participants seek information from their parents, communities, and religious leaders, but are particular with who they consider credible and reliable; if the person providing the information follows a similar lifestyle to the participants, they are more likely to hold cognitive authority. Four different themes emerged from the study. The first is "religious focus" where many participants stated that religion is rather static whereas culture can evolve and change with time, location, and events. The second theme emerged is the reliance on family members for religious literacy given the close upbringing of Muslim extended family system. The third theme indicated that although information seeking behavior relied …
Date: August 2022
Creator: Khader, Malak M
System: The UNT Digital Library

Weight Initialization for Convolutional Neural Networks Using Unsupervised Machine Learning

The goal of this work is to improve the robustness and generalization of deep learning models, using a similar approach to the unsupervised "innate learning" strategy in visual development. A series of research studies are presented to demonstrate how an unsupervised machine learning efficient coding approach can create filters similar to the receptive fields of the primary visual cortex (V1) in the brain, and these filters are capable of pretraining convolutional neural networks (CNNs) to enable faster training times and higher accuracy with less dependency on the source data. Independent component analysis (ICA) is used for unsupervised feature extraction as it has shown success in both applied machine learning and modeling biological neural receptive fields. This pretraining applies equally well to various forms of visual input, including natural color images, black and white, binocular, and video to drive the V1-like Gabor filters in the brain. For efficient processing of typical visual scenes, the filters that ICA produces are developed by encoding natural images. These filters are then used to initialize the kernels in the first layer of a CNN to train on the CIFAR-10 dataset to perform image classification. Results show that the ICA initialization for a custom made CNN …
Date: August 2022
Creator: Behpour, Sahar
System: The UNT Digital Library
The Influence of Visual Sources of Nutrition-Oriented Information on Young Adults' Dieting Efforts (open access)

The Influence of Visual Sources of Nutrition-Oriented Information on Young Adults' Dieting Efforts

The goal of this study was to investigate visual sources of nutrition information relied upon by young adults, specifically college-aged students between 18-30, as this is an under-represented population within current academic literature. A sample of more than 700 18- to 30-year-old college students were surveyed regarding their use of nutrition-driven information, with specific questions regarding the participants' awareness and use of the Food and Drug Administration's standardized nutrition facts labels, as well as the use of smartphone applications for tracking one's food and beverage consumption on a regular basis. Using structural equation modeling, a statistically significant theoretical model was developed with regards to individuals finding greater long-term satisfaction in their dieting efforts if they tracked their consumption on a regular basis, with even greater significance being found through the aid of smartphone applications for recording consumption. An analysis of the content of three online diet and exercise-driven brands was also conducted to determine the currently optimal social media platform for nutrition information exchange, and to identify the type of diet-driven information that generates the greatest amount of engagement within an online network. Of the social media platforms analyzed, Instagram proved to be the most optimal for nutrition information-exchange, and …
Date: December 2018
Creator: Stark, Hillary Lynn
System: The UNT Digital Library
A Text Analysis of Data Science Career Opportunities and U.S. iSchool Curriculum (open access)

A Text Analysis of Data Science Career Opportunities and U.S. iSchool Curriculum

Data science employment opportunities of varied complexity and environment are in growing demand across the globe. Data science as a discipline potentially offers a wealth of jobs to prospective employees, while traditional information science-based roles continue to decrease as budgets get cut across the U.S. Since data is related closely to information historically, this research will explore the education of U.S. iSchool professionals and compare it to traditional data science roles being advertised within the job market. Through a combination of latent semantic analysis of over 1600 job postings and iSchool course documentation, it is our aim to explore the intersection of library and information science and data science. Hopefully these research findings will guide future directions for library and information science professionals into data science driven roles, while also examining and highlighting the data science techniques currently driven by the education of iSchool professionals. In addition, it is our aim to understand how data science could benefit from a mutually symbiotic relationship with the field of information science as statistically data scientists spend far too much time working on data preparation and not nearly enough time conducting scientific inquiry. The results of this examination will potentially guide future directions …
Date: December 2018
Creator: Durr, Angel Krystina
System: The UNT Digital Library
An Examination of the Role of Corporate Governance Structure in the Implementation of Enterprise Resource Planning (ERP) Systems: an International Perspective (open access)

An Examination of the Role of Corporate Governance Structure in the Implementation of Enterprise Resource Planning (ERP) Systems: an International Perspective

Enterprise resource planning (ERP) systems are regarded as among the most innovative information technology products developed over the past two decades. Thus, they have become the backbone of management information systems in the organizations that have implemented them. The difficulties associated with their high failure rate, however, have been the subject of extensive studies. To expand on this knowledge, this study has two research objectives: to examine the relationship between corporate governance structures and implementation results and to investigate whether implementation outcomes vary by country. This study focuses on the project steering committee’s involvement, internal auditors’ participation, and the change management plan implementation. The results demonstrate that steering committee involvement is a primary factor that influenced the success of ERP implementation; and that institutional factors in country of deployment are important determinants of ERP project outcome.
Date: August 2015
Creator: Obitade, Oluseyi Peter
System: The UNT Digital Library
Information Use Environment of Religious Professionals: a Case Study of the Everyday Life Information Seeking Behavior of Catholic Clergy in Northern Nigeria (open access)

Information Use Environment of Religious Professionals: a Case Study of the Everyday Life Information Seeking Behavior of Catholic Clergy in Northern Nigeria

This study explores the everyday life information seeking (ELIS) behavior of Catholic clergy in Northern Nigeria and describes their information use environment (IUE). It employed a mixed-method case study using survey and episodic interview techniques of data collection. The ELIS of Savolainen, the IUE of Taylor and the small world of Chatman were theoretical frameworks that guided this study. Findings showed that the IUE of these Catholic clergy is shaped by four elements: (1) geographical location and culture, (2) the celibate clergy, (3) their information needs, and (4) the information sources used to resolve these needs. Three types of information needs were identified: essential needs, circumstantial needs and intermittent needs. There was a high interrelatedness between the effects of culture and celibacy on the information seeking of these clergy. They are not likely to cross boundaries of their world to seek particularly essential information about their ministry or private lives. The findings of this study align with Chatman’s proposition that members who live in the round will not cross the boundaries of their world to seek information. The study found problems with access and availability of information, which included lack of familiarity with electronic/online library databases among the clergy, and …
Date: August 2015
Creator: Dankasa, Jacob
System: The UNT Digital Library

Exposure to Trauma and Its Effect on Information-Seeking Behaviors and Decision-Making Processes

This dissertation examines the impact of trauma on information-seeking behaviors and decision-making processes. Essay 1 includes a qualitative analysis of the transcripts obtained from interviews with four military service members diagnosed with PTSD. The results showed that 75% of this small sample population exhibited addictive behavior that was presented in their information behaviors. All four members indicated that the excessive extent to which they seek information is related to the perceived importance of the information and their level of trust in the sources. Low trust in information sources increases the number of sources searched for validation in this population. Essay 2 involved the collection and analysis of survey data. The results of the stepwise backward regression show that two trauma variables (adult sexual assault, sudden fear) have a significant combined negative effect on decision-making in this population. The analysis and results of a different survey are presented in Essay 3. The stepwise logistic regression analysis results conducted on the summated scales developed showed a strong positive link between trust in scientific experts for scientific information and the dichotomous dependent variable trust in social media for news. The research conducted in this dissertation extends the understanding of how trauma affects people's …
Date: July 2023
Creator: Fantasia, Anthony Thomas
System: The UNT Digital Library
An Examination of the Metaverse Technology Acceptance Model in Tourism (open access)

An Examination of the Metaverse Technology Acceptance Model in Tourism

The traditional definition of tourism has been transformed by significant advancements in communication and information technology. The concept of Metaverse, derived from the words "meta" (meaning beyond) and "verse" (meaning universe), has redefined how people experience travel. This innovative concept combines virtual reality, augmented reality, and artificial intelligence to create virtually augmented spaces. However, the tourism industry should clarify and narrow down the definition of Metaverse and its intriguing concept for its successful adoption in the future. Thus, it is crucial to define Metaverse tourism and understand how users will accept it in the near future. This study aims to comprehend the technology behind Metaverse tourism, review current research on the topic, and identify the critical factors related to experiential Metaverse tourism. The paper also examines how computer self-efficacy, novelty seeking, subjective norm, job relevance, perceived usefulness, perceived ease of use, and perceived enjoyment can influence expected user satisfaction and behavioral intention, given the context of situational motivation. The findings have significant implications for theory and management, addressing various questions related to users' perceptions, expectations, design considerations, stakeholder preparations, and performance assessment of metaverse technology in tourism applications.
Date: July 2023
Creator: Lee, Sangyung
System: The UNT Digital Library

Countering Hate Speech: Modeling User-Generated Web Content Using Natural Language Processing

Social media is considered a particularly conducive arena for hate speech. Counter speech, which is a "direct response that counters hate speech" is a remedy to address hate speech. Unlike content moderation, counter speech does not interfere with the principle of free and open public spaces for debate. This dissertation focuses on the (a) automatic detection and (b) analyses of the effectiveness of counter speech and its fine-grained strategies in user-generated web content. The first goal is to identify counter speech. We create a corpus with 6,846 instances through crowdsourcing. We specifically investigate the role of conversational context in the annotation and detection of counter speech. The second goal is to assess and predict conversational outcomes of counter speech. We propose a new metric to measure conversation incivility based on the number of uncivil and civil comments as well as the unique authors involved in the discourse. We then use the metric to evaluate the outcomes of replies to hate speech. The third goal is to establish a fine-grained taxonomy of counter speech. We present a theoretically grounded taxonomy that differentiates counter speech addressing the author of hate speech from addressing the content. We further compare the conversational outcomes of …
Date: July 2023
Creator: Yu, Xinchen
System: The UNT Digital Library

The Role of Social Media Influencers in Saudis' Domestic Destination Choice

This study aims to find out the impact of the credibility and content quality of social media influencers on the various stages of the customer's journey and the intention to choose a destination for the Saudi tourist. The target segment was Saudis in general, who are 18 years or above. To conduct this study, 618 usable questionnaires were collected. This study tested twenty-two hypotheses. The result of this study showed that the relationship between content quality, expertise, and similarity was significantly positive with the tourist's desire and information searching. As well, the relationship between the tourist's desire and information searching was significantly positive with the intention of choosing a destination. Conservatism, engagement, and gender were tested as moderators. Conservatism was not significant while the engagement was significant. Gender was only significant in the relationship between content quality and the tourist's desire. This study contributes to information and knowledge in the fields of tourism, hospitality, travel, marketing, tourist behavior, information science, and social media. Researchers and those interested in tourist and customer behavior can benefit from the results of this study. In the industrial field, this study will be very useful to the Saudi government, which has recently begun to rely …
Date: July 2023
Creator: Alamer, Mohammed Abdullah I
System: The UNT Digital Library

Transdisciplinary Information Flow and Key Challenges of Effective Knowledge Transfer between Expert and Novice

When the need arises to transmute complex and theoretical ideas into practice or communicate them to the uninitiated, there often exists a gap in the levels of understanding between the parties involved. This research examined knowledge transfer between practitioners within the information technology (IT) domain of interest by asking the following questions: what is the relationship between knowledge spaces for IT experts and novices; and what factors impact knowledge transfer among knowledge spaces for IT experts and novices? This study conducted interviews with a range of IT professionals to identify knowledge states that resulted in knowledge spaces for both experts and novice practitioners. A conceptual model was developed to examine the knowledge transfer process between expert and novice practitioners and identify factors affecting both the knowledge space and the knowledge states. The model also takes in consideration external factors such as organization and culture and organizational environment. The results from the study show that leadership and executive skillsets play a major role in characterizing the expert knowledge state. The results also show that knowledge transfer between and among groups was primarily impacted by interest and awareness factors among experts. Among novices, the largest barriers were cultural in nature (e.g., no …
Date: May 2023
Creator: Upchurch, Eric Conrad
System: The UNT Digital Library
Understanding Sociotechnical Factors Impacting Cybersecurity Controls on Mobile Devices and Smartphones at the Individual Level (open access)

Understanding Sociotechnical Factors Impacting Cybersecurity Controls on Mobile Devices and Smartphones at the Individual Level

Technological advances such as mobile technology, big data, and machine learning allow businesses to associate advertisements with consumer behaviors to maximize sales. Thus, information about consumer behavior became the central resource of businesses. Recent discussions and concerns about the emerging economic order centered around capturing consumers' data suggest that more research efforts be allocated to address new challenges in different domains, such as health, education, smart cities, and communication. Research on individual cybersecurity behavior is relatively new and requires more attention in academic research. This study has proposed and validated a cybersecurity behavioral model to enrich our understanding of users' behavioral intention (BI) to use cybersecurity controls. An online survey was used to collect information from University of North Texas (UNT) students to explore various technology usage determinants and specific computer security practices. The instrument measured the actual cybersecurity controls behaviors (ACB) by incorporating technical and social factors. Accordingly, the construct of ACB was created and validated to test how it relates to the participants' behavioral intentions. The findings confirm a large number of the proposed relationships. Additionally, the results show that the model explained a significant amount of variance in the proposed dependent variables BI and ACB. Within the …
Date: May 2023
Creator: Gadi, Abdullah Mohamed Y.
System: The UNT Digital Library

Security Aspects of Users' Information Sharing on Social Media

This study aims to investigate college students' security awareness of using social media in sharing information. The two theories that have guided this study are the theory of planned behavior (TPB) and the technology acceptance model (TAM). Data was collected from both undergraduate and graduate students from the University of North Texas (UNT) in Denton. The total responses included 380 students from different majors with 291 valid responses for data analysis; The structural equation model (SEM) Lavaan package was used to find out the best fit of the model. A diagonally weighted least squares (DWLS) was used to model the variables as ordinal in this study's analysis as ordinal data made the model fit substantially. The study found that 6 factors: attitude (AB), subjective norm (SN), perceived behavior control (PBC), perceived usefulness (PU), perceived risks (PR), and security awareness (SA) influenced behavior intention (BI). Also, I found that AB was influenced by PR and SA, as well as SN influenced by SA. Self-efficacy (SE) influenced PBC. On the other hand, the study found that controllability (C) did not influence PBC; perhaps, an individual's skills do not interact with social media security settings. Perceived ease of use (PEOU) did not influence …
Date: May 2023
Creator: Alharbi, Mohannad Abdulltef
System: The UNT Digital Library

Study of Information Behavior of Opportunistic Insiders with Malicious Intent

Enterprises have focused on mechanisms to track insiders who may intentionally exceed and misuse their authorized access. However, there is an opportunity to understand why a trusted individual would want to exploit the trust and seek information with the intent of a malicious outcome. The detection of insider rogue or nefarious activities with information to which a user is already authorized is extremely difficult. Such insider threats require more deliberation than just considering it to be a problem that can be mitigated only by software or hardware enhancements. This research expects to help gain an early understanding of antecedents to such information behavior and provide an opportunity to develop approaches to address relevant character traits which could lead to a higher propensity of information misuse. This research proposes a theoretical framework and a conceptual research model to understand the antecedent factors to opportunistic information-seeking behavior of individuals. The study follows the three-essay format. Essay 1 explores the scholarly literature published about insider behavior to understand information behavior and proposes the theoretical framework for the study. PRISMA methodology was used for the thematic literature review. Essay 2 is a quantitative study of 424 university students surveyed using an online instrument for …
Date: May 2023
Creator: Sinha, Vikas
System: The UNT Digital Library
Designing Archival Collections to Support Language Revitalization: Case Study of the Boro Language Resource (open access)

Designing Archival Collections to Support Language Revitalization: Case Study of the Boro Language Resource

Indigenous communities around the world are losing their languages at accelerating rates to the effects of the climate crisis and global capitalism. To preserve samples of these languages facing endangerment and extinction, samples of language use (e.g., audio-video recordings, photographs, textual transcriptions, translations, and analyses) are created and stored in language archives: repositories intended to provide long-term preservation of and access to language materials. In recent years, archives of all kinds are considering their origins and audiences. With the emergence of the community paradigm of archiving framework, the roles of archivists, communities, and institutions are under re-examination. Language archives too are reflecting this trend, as it becomes more common for speakers of Indigenous languages (also known as language communities) to document and archive their own languages and histories. As the landscape of language archiving expands, we now see increased emphasis on the re-use of archival material, particularly to support language revitalization—efforts to increase and maintain the use of the language. There are calls for language documentation (and, by extension, language archiving) to prioritize revitalization efforts. This dissertation is a case study of one language archive collection: the Boro Language Resource in the Computational Resource for South Asian Languages (CoRSAL) archive. …
Date: May 2023
Creator: Burke, Mary
System: The UNT Digital Library

Development and Utilization of Big Bridge Data for Predicting Deck Condition Rating Using Machine Learning Algorithms

Accurately predicting the deck condition rating of a bridge is crucial for effective maintenance and repair planning. Despite significant research efforts to develop deterioration models, a nationwide model has not been developed. This study aims to identify an appropriate machine learning (ML) algorithm that can accurately predict the deck condition ratings of the nation's bridges. To achieve this, the study collected big bridge data (BBD), which includes NBI, traffic, climate, and hazard data gathered using geospatial information science (GIS) and remote sensing techniques. Two sets of data were collected: a BBD for a single year of 2020 and a historical BBD covering a five-year period from 2016 to 2020. Three ML algorithms, including random forest, eXtreme Gradient Boosting (XGBoost), and Artificial Neural Network (ANN), were trained using 319,404 and 1,246,261 bridge decks in the BBD and the historical BBD, respectively. Results showed that the use of historical BBD significantly improved the performance of the models compared to BBD. Additionally, random forest and XGBoost, trained using the historical BBD, demonstrated higher overall accuracies and average F1 scores than the ANN model. Specifically, the random forest and XGBoost models achieved overall accuracies of 83.4% and 79.4%, respectively, and average F1 scores of …
Date: May 2023
Creator: Fard, Fariba
System: The UNT Digital Library

Information-Seeking Behaviors of Rural Community-Based Hospice Social Workers during a Pandemic: Challenges and Opportunities

When it comes to hospice care, patients and their families residing in rural counties need competent rural community-based hospice social workers on their team. The study of information seeking behaviors of rural community-based hospice social workers during the global COVID-19 pandemic is significant as there is a need to fill gaps regarding how this specific medical discipline performs their job responsibilities when duties become more complicated due to evolving infection control protocols, decreased direct access to patients, and poor internet services. Community-based rural hospice social workers rely on up-to-date information and resources when providing support services to patients and their families. This has become particularly important during the global pandemic COVID-19. Utilizing Chatman's small world theory, this research lends itself to community-based hospice social workers identifying solutions to the challenges of finding timely and accurate COVID-19 information and resources for hospice patients and their families. Purposive sampling, semi-structured interviews, and qualitative social network analysis (SNA) with ATLAS.ti comprise the methodology for this research. The purpose of this study is to investigate the information seeking behaviors of community-based hospice rural social workers in order to understand how they select their COVID-19 information resources.
Date: May 2023
Creator: Alvarado, Angela
System: The UNT Digital Library
Relevance Criteria when Searching and Evaluating Online Video for Informational Use (open access)

Relevance Criteria when Searching and Evaluating Online Video for Informational Use

Relevance is a core concept in the field of Information Science and a common term in everyday vernacular that generally refers to the usefulness of information. However, relevance has not been sufficiently or consistently defined or explored in the information science literature. Relevance criteria are the factors that information users employ when determining whether information they encounter is relevant. Identifying relevance criteria is a crucial step to understanding relevance. Relevance criteria employed with newer information formats like online video are especially important to study. Online video is now widespread, and people are increasingly likely to rely on video for information. This study identifies relevance criteria employed during relevance assessments of online video through a explanatory sequential mixed-methods study of frequent online video users including students, faculty, librarians, and video professionals. Methods included an online survey and interviews.
Date: May 2023
Creator: Dewitt-Miller, Erin
System: The UNT Digital Library

Diversity, Equity, and Inclusive Behaviors of School Librarians: Perceptions during Times of Crisis

School librarians create an atmosphere where learners feel empowered. Moreover, school library programming should support diversity, equity, and inclusive learning opportunities to facilitate student success. Thus, school librarians are expected to model and advocate for equitable learning spaces while considering the universal design for learning approach to improving accessibility, utilization, and relevance for all library patrons. Although it has been established that school library standards support diversity, equity, and inclusion (DEI), more is needed to know about the impact of a crisis on school library programming and services. In addition, extensive research has not been conducted to determine school librarians' responsiveness and strategies to provide services for their school communities during disruptive times. This study examines school librarians' perceptions of the opportunities and challenges encountered while endeavoring to engage in DEI practices during crises.
Date: May 2023
Creator: Gill, Diane
System: The UNT Digital Library