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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
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
Lihui Sun; Liang Zhou – Education and Information Technologies, 2025
Generative Artificial Intelligence (GenAI) has fundamentally transformed the education landscape, offering unprecedented potential for personalized learning and enhanced teaching methods. This research conducted two sub-studies aimed at exploring the influences and differences in college students' attitudes towards generative artificial…
Descriptors: Artificial Intelligence, Computer Uses in Education, Computer Attitudes, Student Attitudes
Fairuz Anjum Binte Habib – Education and Information Technologies, 2025
The incorporation of artificial intelligence (AI) into education is becoming more important over time, although faculty viewpoints on this integration are not well recognized. To analyze educators' attitudes towards AI tools in Bangladesh, this research built a modified model that included components from the technology acceptance model (TAM),…
Descriptors: Teacher Attitudes, Intention, Artificial Intelligence, Technology Uses in Education
Linlin Hu; Hao Wang; Yunfei Xin – Education and Information Technologies, 2025
Although Generative Artificial Intelligence (GAI) has demonstrated significant potential in education, there is a lack of research on pre-service teachers' behavioral intentions toward GAI. This study is based on the UTAUT2 model and, for the first time, introduces perceived risk as a key variable to systematically investigate the factors…
Descriptors: Foreign Countries, Preservice Teachers, Computer Attitudes, Technology Integration
Tugce Özbek; Christina Wekerle; Ingo Kollar – Education and Information Technologies, 2024
Pre-service teachers' often suboptimal use of technology in teaching can be explained by low levels of technology acceptance. The present study aims to investigate how technology acceptance can be promoted. Based on the Technology Acceptance Model by Davis (1986), we hypothesized that encouraging pre-service teachers to constructively engage with…
Descriptors: Preservice Teachers, Student Attitudes, Computer Attitudes, Technology Uses in Education
Kofi Ayebi-Arthur; Kwaku Anhwere Barfi; Valentina Arkorful; Theophilus Ocran; Nyinaku Odoi Baffour – Education and Information Technologies, 2024
Higher institutions are increasingly embracing the use of computer technologies in advancing education. Despite evidence pointing to the positive impact of computer technologies on teaching and learning, systematic research study on the role of teachers' competencies in computer technologies integration is still not saturated in literature.…
Descriptors: Computer Uses in Education, Computer Science Education, Teaching Methods, Higher Education
Xuemei Bai; Rifa Guo; Xiaoqing Gu – Education and Information Technologies, 2024
A growing number of studies are focusing on the effect of teachers' knowledge on their behavioral intention to use technology in teaching. This study aims to explore the influence of teachers' technological pedagogical content knowledge (TPACK) on their behavioral intention to use technology by including their technology self-efficacy and attitude…
Descriptors: Technology Integration, Educational Technology, Pedagogical Content Knowledge, Technological Literacy
Lu Li; Linlin Li; Baichang Zhong; Yuqin Yang – Education and Information Technologies, 2024
The increasingly ubiquitous use of information and communication technologies (ICTs) in education have brought vast boons to educators and learners but also caused technostress for some of them due to their maladaptation to ICT-supported work and learning. Scientific research on technostress in educational settings has been growing ever since this…
Descriptors: Literature Reviews, Bibliometrics, Anxiety, Stress Variables
Artur Strzelecki – Education and Information Technologies, 2025
This research explored the attitudes of higher education students toward ChatGPT, an AI tool commonly employed for academic assistance. Our aim was to investigate students' acceptance and use of ChatGPT during their academic pursuits. We targeted two distinctive groups for our study: undergraduate and postgraduate students. Our findings show that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Undergraduate Students
Sajuddin Saifi; Shaista Tanveer; Mohd Arwab; Dori Lal; Nabila Mirza – Education and Information Technologies, 2025
The current study is an attempt to bring to light the influence of Open AI adoption among users regarding the Indian Higher Education system by incorporating the TCT and TTF models. A questionnaire was designed to collect the data from 571 participants associated with higher education in India. The developed model with Perceived usefulness,…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Higher Education
Al-Rahmi, Ali Mugahed; Al-Rahmi, Waleed Mugahed; Alturki, Uthman; Aldraiweesh, Ahmed; Almutairy, Sultan; Al-Adwan, Ahmad Samed – Education and Information Technologies, 2022
Mobile-learning (M-learning) apps have grown in popularity and demand in recent years and have become a typical occurrence in modern educational systems, particularly with the deployment of M-learning initiatives. The key objective of this study was to reveal the key factors that impact university students' behavioural intention and actual use of…
Descriptors: Electronic Learning, Computer Oriented Programs, College Students, Intention
Hoora Dehghani; Amir Mashhadi – Education and Information Technologies, 2024
This study explores the factors influencing the acceptance of ChatGPT, an artificial intelligence chatbot, for English Language Teaching (ELT) among Iranian EFL (English as a Foreign Language) teachers. The research framework is grounded in the Technology Acceptance Model (TAM), augmented with external factors pertaining to system characteristics…
Descriptors: Foreign Countries, Language Teachers, English (Second Language), Teacher Attitudes
Ferhan Sahin; Aydin Kizilaslan; Önder Simsek – Education and Information Technologies, 2024
While assistive technologies are crucial for students with special needs, the number of studies scrutinizing instructors' acceptance of assistive technologies within the scope of inclusive education remains quite limited. Furthermore, there is almost no comprehensive study in the existing body of literature focusing on the acceptance of assistive…
Descriptors: Assistive Technology, Inclusion, Teacher Attitudes, Special Needs Students
Amelie Elm; Peter Bergström; Daniel Pettersson – Education and Information Technologies, 2024
This study explores practitioners' beliefs and experiences of education, socialisation and care and their impact on the introduction of a software application for quality work in early childhood education. Based on field notes, audio recordings and follow-up semi-structured interviews in four Swedish preschools, it explores how teachers' beliefs…
Descriptors: Foreign Countries, Early Childhood Education, Preschools, Early Childhood Teachers