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Insights Into the Factors Influencing Student Motivation in Augmented Reality Learning Experiences in Vocational Education and Training (open access)

Insights Into the Factors Influencing Student Motivation in Augmented Reality Learning Experiences in Vocational Education and Training

This article attempts to identify some of the components that positively affect student motivation in mobile augmented reality (AR) learning experiences to contribute to the design and development of motivational AR learning experiences for the Vocational Education and Training (VET) level of education.
Date: August 21, 2018
Creator: Bacca, Jorge; Baldiris, Silvia; Fabregat, Ramon & Kinshuk
Object Type: Article
System: The UNT Digital Library
Does Providing a Personalized Educational Game Based on Personality Matter? A Case Study (open access)

Does Providing a Personalized Educational Game Based on Personality Matter? A Case Study

This article presents an educational game which models learner's personality, specifically introvert/extrovert dimension, to serve as a personalized game learning environment. The findings of this study can be used by educators and game designers to adopt and develop personalized game learning environments based on learner's personality.
Date: August 19, 2019
Creator: Kinshuk; Tlili, Ahmed; Denden, Mouna; Essalmi, Fathi; Jemni, Mohamed; Chen, Nian-Shing et al.
Object Type: Article
System: The UNT Digital Library
Discovering fake news embedded in the opposing hashtag activism networks on Twitter: #Gunreformnow vs. #NRA (open access)

Discovering fake news embedded in the opposing hashtag activism networks on Twitter: #Gunreformnow vs. #NRA

This article is a study investigating fake news included in political discourse of opposing activism hashtags, #Gunreformnow and #NRA (The National Rifle Association) and aims to lay out the process of identifying fake news in the hashtag activism network on Twitter.
Date: October 19, 2018
Creator: Chong, Miyoung
Object Type: Article
System: The UNT Digital Library
A geospatial method for estimating soil moisture variability in prehistoric agricultural landscapes (open access)

A geospatial method for estimating soil moisture variability in prehistoric agricultural landscapes

Article describes study which develops a static geospatial soil moisture model, the Soil Moisture Proxy Model, which uses soil and topographic variables to estimate soil moisture potential across a watershed in order to better understand the quality of farmland in terms of soil moisture.
Date: August 21, 2019
Creator: Gillreath-Brown, Andrew; Nagaoka, Lisa & Wolverton, Steven J.
Object Type: Article
System: The UNT Digital Library