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Andrew Kemp; Edward Palmer; Peter Strelan; Helen Thompson – British Journal of Educational Technology, 2024
Many technology acceptance models used in education were originally designed for general technologies and later adopted by education researchers. This study extends Davis' technology acceptance model to specifically evaluate educational technologies in higher education, focusing on virtual classrooms. Prior research informed the construction of…
Descriptors: College Students, Educational Technology, Models, Student Attitudes
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Chengliang Wang; Xiaojiao Chen; Zhebing Hu; Sheng Jin; Xiaoqing Gu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, as a cutting-edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and educational equity. Existing studies have not fully explored learners' intentions to adopt artificial intelligence generated content (AIGC) technology, highlighting the need…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Computer Uses in Education
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Marc Watkins; Stephen Monroe – Thresholds in Education, 2025
We begin our introduction by acknowledging the valid anxieties of faculty who face rapid technological change brought on by Generative AI (GenAI) tools without adequate institutional support or training. While some scholars advocate for GenAI resistance and others for wholesale adoption, the voices included within this volume argue for a balanced,…
Descriptors: Higher Education, Technology Uses in Education, Artificial Intelligence, Accountability
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Stephen J. Lind – Journal of Workplace Learning, 2025
Purpose: This study aims to investigate the effectiveness of widely adopted but under-studied synthetic humanlike spokespersons (SHS) compared to organic human spokespersons in workplace training videos. The primary aim is to evaluate whether employees will rate training videos more negatively when they perceive their trainer to be synthetic such…
Descriptors: Job Training, Trainees, Artificial Intelligence, Video Technology
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Marcella Mandanici; Simone Spagnol – IEEE Transactions on Education, 2024
The purpose of this study is to look at how a music programming course affects the development of computational thinking in undergraduate music conservatory students. In addition to teaching the fundamentals of computational thinking, music programming, and logic, the course addresses the Four C's of education. The change in students' attitudes…
Descriptors: Music Education, Undergraduate Students, Programming, Computer Attitudes
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Mehrbakhsh Nilashi; Rabab Ali Abumalloh – Education and Information Technologies, 2025
Immersive technologies strive to enhance users' digital experiences by enabling more interactive, engaging, and realistic virtual environments. Despite the growing popularity and advancements in immersive technologies, achieving widespread user acceptance remains a significant challenge. In addition, previous acceptance models may not fully…
Descriptors: Computer Attitudes, Computer Simulation, Simulated Environment, Physical Environment
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Mohan Yang; Courtney Miller; Helen Crompton; Zilong Pan; Noah Glaser – TechTrends: Linking Research and Practice to Improve Learning, 2024
The implementation of virtual reality (VR) has gained popularity in the organizational settings in responding to the digital transformation in the era of Industry 4.0. VR offers immersive and authentic experiences for learners through simulated real-life scenarios during training. While the affordances have been widely discussed, there is a need…
Descriptors: Computer Simulation, Organizational Learning, Training, Technology Integration
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Phil Seok Oh; Gyeong-Geon Lee – Science & Education, 2025
How and why science education scholars and practitioners might use artificial intelligence (AI) in the classroom has been a controversial agenda for decades. ChatGPT, a state-of-the-art (SOTA) AI released in November 2022, has attracted global interest for its exceptionally high performance in generating human-like natural language answers to…
Descriptors: Science Education, Artificial Intelligence, Cognitive Processes, Affective Behavior
Lisa Mischelle Watts – ProQuest LLC, 2024
Blended learning (BL), also known as hybrid or flipped classroom learning, is a method that involves both traditional face-to-face teaching and online media instruction. The problem experienced in South Texas school districts (STSD), despite research showing evidence of the BL model's benefits, is that some teachers are struggling to implement BL…
Descriptors: Blended Learning, Teacher Attitudes, Computer Attitudes, Teaching Methods
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Flanagan, Teresa; Wong, Gavin; Kushnir, Tamar – Developmental Psychology, 2023
Children are developing alongside interactive technologies that can move, talk, and act like agents, but it is unclear if children's beliefs about the agency of these household technologies are similar to their beliefs about advanced, humanoid robots used in lab research. This study investigated 4-11-year-old children's (N = 127, M[subscript age]…
Descriptors: Childrens Attitudes, Beliefs, Social Cognition, Robotics
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Salvatore G. Garofalo; Stephen J. Farenga – Science & Education, 2025
The purpose of this study was to gauge the attitudes towards artificial intelligence (AI) use in the science classroom by science teachers at the start of generative AI chatbot popularity (March 2023). The lens of distributed cognition afforded an opportunity to gather thoughts, opinions, and perceptions from 24 secondary science educators as well…
Descriptors: Secondary School Teachers, Science Teachers, Teacher Attitudes, Artificial Intelligence
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Amjad Ur Rehman; Asif Mahmood; Shahid Bashir; Mazhar Iqbal – Journal of Educators Online, 2024
This study aims to determine how technophobia, or dread of technology, hinders education and offers future research recommendations. Utilizing systematic reviews, researchers scoured numerous research sources for articles on technophobia in education. The admissions criteria were established, and 18 research works that met those criteria were…
Descriptors: Computer Attitudes, Anxiety, Fear, Technology Uses in Education
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Mussa Saidi Abubakari; Gamal Abdul Nasir Zakaria; Juraidah Musa – Cogent Education, 2024
Various factors, including technical, organisational, cultural, and individual, can influence how people adopt digital technologies (DT). However, different contexts have produced similar yet distinct results when researchers integrated these various factors into the technology acceptance model (TAM). Two critical factors in the Islamic…
Descriptors: Foreign Countries, Higher Education, Islam, Religious Education
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Papakostas, Christos; Troussas, Christos; Krouska, Akrivi; Sgouropoulou, Cleo – Education and Information Technologies, 2022
The integration of Augmented Reality (AR) in welding training is considered to increase the efficiency, security and time gain in operations, reducing consumable and infrastructures costs. Prior research has examined the integration of AR-simulation in applications, like medical operations or aviation, showing the need for greater usability of…
Descriptors: Technology Integration, Computer Simulation, Welding, Training
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Tasdöndüren, Tuba; Korucu, Agah Tugrul – Journal of Learning and Teaching in Digital Age, 2022
The aim of this study is to examine middle school students' perceptions of information technology self-efficacy and their attitudes towards coding according to various variables and to determine the difference between secondary school students' perceptions of information technology self-efficacy and their attitudes towards coding. The study was…
Descriptors: Student Attitudes, Computer Attitudes, Self Efficacy, Programming
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