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
System: The UNT Digital Library
Comparison of glide path and pathfiles in canal preparation by cone-beam computed tomography: An original research (open access)

Comparison of glide path and pathfiles in canal preparation by cone-beam computed tomography: An original research

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).
Date: July 13, 2022
Creator: Uppalapati, Vishwaja; Chhaparwal, Amit; Ahmed, Siddiq; Shariff, Suhail; Pallewar, Abhijit Mallesham; Mustafa, Mohammed et al.
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
System: The UNT Digital Library
Library Computing Services in Rural Texas during the COVID-19 Pandemic (open access)

Library Computing Services in Rural Texas during the COVID-19 Pandemic

Article analyzing the 2020 Texas Public Library Statistics and a portion of the 2019 and 2018 data. It examined various services from libraries located in the areas with a population of less than 5,000. This is the Accepted Manuscript version of a published article.
Date: June 23, 2022
Creator: Du, Yunfei
System: The UNT Digital Library
User needs in language archives: Findings from interviews with language archive managers, depositors, and end-users (open access)

User needs in language archives: Findings from interviews with language archive managers, depositors, and end-users

This article is an exploratory study providing empirical data on language archive user needs and supports some anecdotal evidence of known issues facing language archive end-users, depositors, and managers in primarily academic contexts.
Date: April 2022
Creator: Burke, Mary; Zavalina, Oksana; Chelliah, Shobhana Lakshmi & Phillips, Mark Edward
System: The UNT Digital Library