Ethical Challenges of Using Virtual Environments in the Assessment and Treatment of Psychopathological Disorders (open access)

Ethical Challenges of Using Virtual Environments in the Assessment and Treatment of Psychopathological Disorders

This article discusses ethical issues involved in the clinical use of novel technologies.
Date: January 20, 2021
Creator: Parsons, Thomas D.
Object Type: Article
System: The UNT Digital Library

Cataloger Tasks: Work In Progress

This presentation discusses cataloging tasks, including Functional Requirements for Bibliographic Records (FRBR), Functional Requirements for Authority Data (FRAD), Functional Requirements for Subject Authority Data (FRSAD), and concepts related to the tasks and decisions involved in cataloging.
Date: January 20, 2012
Creator: Miksa, Shawne D., 1969-
Object Type: Presentation
System: The UNT Digital Library
Bot-teachers in hybrid massive open online courses (MOOCs): A post-humanist experience (open access)

Bot-teachers in hybrid massive open online courses (MOOCs): A post-humanist experience

This article explores networked learning technologies and the development of Massive Online Open Courses (MOOCs). The study examines and explains hybrid MOOCs and focuses on the use of bot-teachers within a post-humanist perspective. The research findings reveal that, while the use of bot-teachers is beneficial in terms of facilitating and increasing discourse/interaction, it is ineffective in providing other components of teaching presence. Yet ultimately, learners' positive behaviors indicate that bot-teachers hold promise as an educational tool.
Date: July 20, 2018
Creator: Bozkurt, Aras; Kilgore, Whitney & Crosslin, Matt
Object Type: Article
System: The UNT Digital Library
A Review of Artificial Intelligence (AI) in Education from 2010 to 2020 (open access)

A Review of Artificial Intelligence (AI) in Education from 2010 to 2020

This article provides a content analysis of studies from 2010 to 2020 aiming to disclose how artificial intelligence (AI) has been applied to the education sector and explore the potential research trends and challenges of AI in education. The content analysis shows that the research questions can be classified into development layer (classification, matching, recommendation, and deep learning), application layer (feedback, reasoning, and adaptive learning), and integration layer (affection computing, role-playing, immersive learning, and gamification).
Date: April 20, 2021
Creator: Zhai, Xuesong; Chu, Xiaoyan; Chai, Ching Sing; Jong, Morris Siu Yung; Istenic, Andreja; Spector, Michael et al.
Object Type: Article
System: The UNT Digital Library
A Machine Learning Approach to Evaluating Translation Quality (open access)

A Machine Learning Approach to Evaluating Translation Quality

This paper explores the possibility of applying Machine Learning for Machine Translation evaluation.
Date: June 20, 2017
Creator: Reyes Ayala, Brenda & Chen, Jiangping
Object Type: Paper
System: The UNT Digital Library

A Machine Learning Approach to Evaluating Translation Quality

Poster presented at the 2017 ACM/IEEE-CS Joint Conference on Digital Libraries. explores the possibility of applying Machine Learning for Machine Translation evaluation.
Date: June 20, 2017
Creator: Reyes Ayala, Brenda & Chen, Jiangping
Object Type: Poster
System: The UNT Digital Library
Teaching and Learning with Technology During the COVID-19 Pandemic: Highlighting the Need for Micro-Meso-Macro Alignments (open access)

Teaching and Learning with Technology During the COVID-19 Pandemic: Highlighting the Need for Micro-Meso-Macro Alignments

This article covers the challenges brought about for teachers and learners from transitioning to online education due to the COVID-19 pandemic. The authors reflect on these challenges based on discussions at EDUsummIT2019 in Quebec about the theme “Learners and learning contexts: New alignments for the digital age." Informed by theoretical conceptualization and empirical evidence the authors identify micro-meso-macro alignments that need to be in place to move education into the digital age: alignments for quality learning contexts, alignments in support for teachers, and alignments through partnerships.
Date: September 20, 2021
Creator: Voogt, Joke & Knezek, Gerald
Object Type: Article
System: The UNT Digital Library
Z39.50 Interoperability Testing Framework for Online Library Catalogs Using Radioactive MARC Records (open access)

Z39.50 Interoperability Testing Framework for Online Library Catalogs Using Radioactive MARC Records

This document discusses a Z39.50 Interoperability Testing framework. In a first phase of the Z39.50 Interoperability Testbed, a large dataset of MARC records was used. In this work, the authors are exploring how a set of special, diagnostic MARC records can be developed and used to identify interoperability problems between a Z39.50 client and a Z39.50 server providing access to a database of bibliographic records supporting the search and retrieval functions of an online library catalog. The authors refer to these special, diagnostic records as radioactive MARC records. It discusses the various components and identifies the tasks related to developing and implementing the components.
Date: June 20, 2004
Creator: Moen, William E.
Object Type: Text
System: The UNT Digital Library
Communicating the risk of contracting Zika virus to low income underserved pregnant Latinas: A clinic-based study (open access)

Communicating the risk of contracting Zika virus to low income underserved pregnant Latinas: A clinic-based study

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.
Date: November 20, 2020
Creator: Boyce, LeAnn & Ramisetty-Mikler, Suhasini
Object Type: Article
System: The UNT Digital Library