Investigation of Descriptive Richness of Free-Text Metadata in Language Archives

This presentation introduces language archives and analyzes item‐level metadata in three of them 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.
Date: October 26, 2020
Creator: Burke, Mary & Zavalina, Oksana
Object Type: Presentation
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
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