Degree Department

Soft Skills for Entry-Level Engineers: What Employers Want (open access)

Soft Skills for Entry-Level Engineers: What Employers Want

This article is a review of literature for skills comprised within the Accreditation Board of Engineering and Technology (ABET) criteria determined 26 topics necessary for the entry-level and continued success of engineers. The findings suggest that although entry-level engineers have proficiency in all of these ABET required skills, the entry-level engineers were not meeting the level of importance expressed by the organization for 24 of these 26 skills.
Date: October 14, 2021
Creator: Hirudayaraj, Malar; Baker, Rose M.; Baker, Francie & Eastman, Mike
System: The UNT Digital Library
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.
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
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.
System: The UNT Digital Library