The impact of high-immersion virtual reality on foreign language anxiety (open access)

The impact of high-immersion virtual reality on foreign language anxiety

Authors of the article assert that public speaking, especially in a foreign language, is associated with increased anxiety. The authors found that VR technology had a positive effect on practicing public speaking in a foreign language, the research findings have practical implications for professionals and curriculum designers in various domains where public speaking skills are essential.
Date: October 4, 2023
Creator: Kaplan-Rakowski, Regina & Gruber, Alice
Object Type: Article
System: The UNT Digital Library
DEVO: an ontology to assist with dermoscopic feature standardization (open access)

DEVO: an ontology to assist with dermoscopic feature standardization

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.
Date: August 18, 2023
Creator: Zhang, Xinyuan; Lin, Rebecca Z.; Amith, Muhammad "Tuan"; Wang, Cynthia; Light, Jeremy; Strickley, John et al.
Object Type: Article
System: The UNT Digital Library
Phrasal Proper Names in German and Norwegian (open access)

Phrasal Proper Names in German and Norwegian

Article discusses the morpho-syntax of phrasal proper names like Deutsche Bahn 'German Railway' and Norske Skog 'Norwegian Forest' in German and Norwegian. The authors document that phrasal proper names may show features of recursivity evidenced most clearly in Norwegian.
Date: September 9, 2023
Creator: Julien, Marit & Roehrs, Dorian
Object Type: Article
System: The UNT Digital Library
Development and Utilization of Bridge Data of the United States for Predicting Deck Condition Rating Using Random Forest, XGBoost, and Artificial Neural Network (open access)

Development and Utilization of Bridge Data of the United States for Predicting Deck Condition Rating Using Random Forest, XGBoost, and Artificial Neural Network

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.
Date: January 16, 2024
Creator: Fard, Fariba & Fard, Fereshteh Sadeghi Naieni
Object Type: Article
System: The UNT Digital Library
Spatial Analysis and visual Communication of Emergency Information through Augmented Reality (open access)

Spatial Analysis and visual Communication of Emergency Information through Augmented Reality

Article describes how during emergencies like fire and smoke or active shooter events, there is a need to address the vulnerability and assess plans for evacuation. This paper presents the development and evaluation of the mobile augmented reality application designed specifically for acquiring spatial analysis, situational awareness, and visual communication.
Date: November 2023
Creator: Sharma, Sharad & Pesaladinne, Rishitha R.
Object Type: Article
System: The UNT Digital Library
Scaling Students' Self-Efficacy on Machine Translation Post-Editing: Psychometric Properties of the Scale and Their Associations (open access)

Scaling Students' Self-Efficacy on Machine Translation Post-Editing: Psychometric Properties of the Scale and Their Associations

Article describes how Machine Translation Post-Editing has emerged as a productivity-enhancing practice in the language service industry, where human editors correct the output of machine translation systems. this research paper aims to assess students' self-efficacy in translation learning, specifically in the context of MTPE, and explore the factor structure, psychometric properties, and internal associations of their self-efficacy.
Date: November 1, 2023
Creator: Li, Qing & Huang, Tai-yi
Object Type: Article
System: The UNT Digital Library
Predicting incident cardiovascular disease among African-American adults: A deep learning approach to evaluate social determinants of health in the Jackson heart study (open access)

Predicting incident cardiovascular disease among African-American adults: A deep learning approach to evaluate social determinants of health in the Jackson heart study

Article describes how the authors' study sought to leverage machine learning approaches to determine whether social determinants of health improve prediction of incident cardiovascular disease (CVD). Participants in the Jackson Heart study with no history of CVD at baseline were followed over a 10-year period to determine first CVD events.
Date: November 10, 2023
Creator: Morris, Matthew C.; Moradi, Hamidreza; Aslani, Maryam; Sims, Mario; Schlundt, David; Kouros, Chrystyna D. et al.
Object Type: Article
System: The UNT Digital Library
Joint Optimization of Computation, Communication and Caching in D2D-Assisted Caching-Enhanced MEC System (open access)

Joint Optimization of Computation, Communication and Caching in D2D-Assisted Caching-Enhanced MEC System

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.
Date: July 27, 2023
Creator: Ge, Jiaqi; Xu, Gaochao; Zhang, Yang; Lu, Jianchao; Chen, Haihua & Meng, Xiangyu
Object Type: Article
System: The UNT Digital Library
Exploring the Potential Impact of Artificial Intelligence (AI) on International Students in Higher Education: Generative AI, Chatbots, Analytics, and International Student Success (open access)

Exploring the Potential Impact of Artificial Intelligence (AI) on International Students in Higher Education: Generative AI, Chatbots, Analytics, and International Student Success

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.
Date: May 31, 2023
Creator: Wang, Ting; Lund, Brady D.; Marengo, Agostino; Pagano, Alessandro; Mannuru, Nishith Reddy; Teel, Zoë A. et al.
Object Type: Article
System: The UNT Digital Library
Definition and Goals of Descriptive Linguistic Fieldwork (open access)

Definition and Goals of Descriptive Linguistic Fieldwork

Book chapter defining descriptive linguistic fieldwork, explores tasks that fall under this definition, outlines goals of descriptive linguistic fieldwork, and identifies aspirations and limitations of linguistic fieldworkers.
Date: 2011
Creator: Chelliah, Shobhana Lakshmi & de Reuse, Willem
Object Type: Book Chapter
System: The UNT Digital Library
Content-Based Characterization of the End of Term Web Archive (open access)

Content-Based Characterization of the End of Term Web Archive

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.
Date: September 2023
Creator: Phillips, Mark Edward; Phillips, Kristy & Alam, Sawood
Object Type: Article
System: The UNT Digital Library
End of Term Web Archive Dataset: Longitudinal Web Archive of .GOV and .MIL Domains (open access)

End of Term Web Archive Dataset: Longitudinal Web Archive of .GOV and .MIL Domains

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.
Date: October 3, 2023
Creator: Phillips, Mark Edward; Phillips, Kristy & Alam, Sawood
Object Type: Article
System: The UNT Digital Library
Using existing metadata standards and tools for a digital language archive: a balancing act (open access)

Using existing metadata standards and tools for a digital language archive: a balancing act

Article discusses how building a digital language archive requires a number of steps to ensure collecting, describing, preserving and providing access to language data in effective and efficient ways. This paper introduces the reader to the background of this project and discusses some of the areas important for representing language materials where both University of North Texas Libraries (UNTL) metadata and CoRSAL metadata practices were adapted to better fit the needs of intended audiences.
Date: June 16, 2022
Creator: Burke, Mary; Tarver, Hannah; Phillips, Mark Edward & Zavalina, Oksana
Object Type: Article
System: The UNT Digital Library
What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexity (open access)

What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexity

Article describes how the authors present an analysis of eight measures used for quantifying morphological complexity of natural languages. The measures they study are corpus-based measures of morphological complexity with varying requirements for corpus annotation.
Date: September 22, 2022
Creator: Çöltekin, Çağrı & Rama, Taraka
Object Type: Article
System: The UNT Digital Library
Detecting interdisciplinary semantic drift for knowledge organization based on normal cloud model (open access)

Detecting interdisciplinary semantic drift for knowledge organization based on normal cloud model

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.
Date: April 27, 2023
Creator: Wang, Zhongyi; Peng, Siyuan; Chen, Jiangping; Kapasule, Amoni G. & Chen, Haihua
Object Type: Article
System: The UNT Digital Library
Exploring the richness of collection-level subject metadata in three large-scale digital libraries (open access)

Exploring the richness of collection-level subject metadata in three large-scale digital libraries

This article reports results of a study that used an in-depth comparative content analysis to assess free-text and controlled vocabulary collection-level subject metadata in three large-scale digital libraries in the European Union and the USA.
Date: December 31, 2014
Creator: Zavalina, Oksana
Object Type: Article
System: The UNT Digital Library
Adaptive learning: toward an intentional model for learning process guidance based on learner’s motivation (open access)

Adaptive learning: toward an intentional model for learning process guidance based on learner’s motivation

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.
Date: December 5, 2022
Creator: Bayounes, Walid; Saâdi, Bayoudh Ines & Kinshuk
Object Type: Article
System: The UNT Digital Library
A Novel Hybrid Edge Detection and LBP Code-Based Robust Image Steganography Method (open access)

A Novel Hybrid Edge Detection and LBP Code-Based Robust Image Steganography Method

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.
Date: March 10, 2023
Creator: Sultana, Habiba; Kamal, A. H. M.; Hossain, Gahangir & Kabir, Muhammad Ashad
Object Type: Article
System: The UNT Digital Library
Assessing approaches to learning with nonparametric multidimensional scaling (open access)

Assessing approaches to learning with nonparametric multidimensional scaling

Article reports on a trace-based assessment of approaches to learning used by middle school aged children who interacted with NASA Mars Mission science, technology, engineering and mathematics (STEM) games in Whyville, an online game environment with 8 million registered young learners. Differences in approach to learning were found illustrating the potential value of the methodology to curriculum and game-based learning designers as well as other creators of online STEM content for pre-college youth.
Date: September 5, 2022
Creator: Knezek, Gerald; Gibson, David; Christensen, Rhonda; Trevisan, Ottavia & Carter, Morgan
Object Type: Article
System: The UNT Digital Library
Temporal Variations and Spatial Disparities in Public Sentiment Toward COVID-19 and Preventive Practices in the United States: Infodemiology Study of Tweets (open access)

Temporal Variations and Spatial Disparities in Public Sentiment Toward COVID-19 and Preventive Practices in the United States: Infodemiology Study of Tweets

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.
Date: December 30, 2021
Creator: Kahanek, Alexander; Yu, Xinchen; Hong, Lingzi; Cleveland, Ana D., 1943- & Philbrick, Jodi
Object Type: Article
System: The UNT Digital Library
Creativity and Innovative Processes: Assemblages and Lines of Flight (open access)

Creativity and Innovative Processes: Assemblages and Lines of Flight

Article provides assemblage maps showing the elements related to creativity, innovation, and creativity and innovation. These assemblage maps highlight virtual and dynamic flight lines that represent potentially active components with varying intensity and direction, which provides a tool for managers and practitioners to identify potentialities for future predictions better.
Date: September 26, 2022
Creator: Turner, John R.; Baker, Rose M. & Thurlow, Nigel
Object Type: Article
System: The UNT Digital Library
A content analysis of research on technology use for teaching mathematics to students with disabilities: word networks and topic modeling (open access)

A content analysis of research on technology use for teaching mathematics to students with disabilities: word networks and topic modeling

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.
Date: March 26, 2023
Creator: Shin, Mikyung; Ok, Min Wook; Choo, Sam; Hossain, Gahangir; Bryant, Diane P. & Kang, Eunyoung
Object Type: Article
System: The UNT Digital Library
Toward an intentional model aware of learner cognitive traits for pedagogical process guidance (open access)

Toward an intentional model aware of learner cognitive traits for pedagogical process guidance

Authors of the article suggest that the novelty of Intentional Model of Pedagogical Process Guidance (IMPPG) is the effectiveness use of Cognitive Trait Model to be aware of different traits of learner. This model has been experimented and assessed with tutors and students learning spreadsheet management in a first-year studying in applied license’s degree in Business English and applied license’s degree in Education.
Date: March 15, 2023
Creator: Bayounes, Walid; Saâdi, Ines Bayoudh & Kinshuk
Object Type: Article
System: The UNT Digital Library
Correction: Adaptive learning: toward an intentional model for learning process guidance based on learner’s motivation (open access)

Correction: Adaptive learning: toward an intentional model for learning process guidance based on learner’s motivation

Correction to article changes the name of one of the authors.
Date: December 19, 2022
Creator: Bayoues, Walid; Saâdi, Ines Bayoudh & Kinshuk
Object Type: Article
System: The UNT Digital Library