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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
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
Kamil Çelik; Ahmet Ayaz – Educational Technology Research and Development, 2025
Technological advancements in recent years have accelerated the development of information and communication technologies, introducing numerous innovations. One prominent innovation is the concept of the metaverse, which has gained significant popularity and is increasingly influencing various sectors, including the economy, art, entertainment,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Computer Science Education
Faith Sylvester Orim; Usani Joseph Ofem; Imelda Barong Edam-Agbor; Nsan Njar Nsan; John Arikpo Okri; Patience Ekpang; Blessing Ogunjimi; Isu Michael Egbe; James Omaji Ukatu; Cecilia Undie Angrey; Moses Agba Undie; Oluwaseun Akin-Fakorede; Dymphina Abua; Peace Asukwo – Discover Education, 2025
The current educational landscape is flooded with new technological tools, especially with the arrival of artificial intelligence, which is applicable at all levels of instructional practices. However, the application of technology in assessment in higher education has been understudied. This study focused on filling this research gap by examining…
Descriptors: Higher Education, College Faculty, Computer Assisted Testing, Technology Integration
Zhang, Xiaotian; Wang, Yi; Leung, Shing on – Technology, Pedagogy and Education, 2023
Based on the Technology Acceptance Model (TAM) and supplemented by social cognitive theory and gender schema theory, this study investigated the interactive mechanism of TAM by incorporating self-efficacy and gender as two factors in students' usage of sports bracelets. Data were collected from 682 Chinese college freshmen. Results indicated that…
Descriptors: Foreign Countries, College Freshmen, Physical Education, Gender Differences
Feng Zhang; Gege Li; Heng Luo – Educational Technology & Society, 2025
With the development of virtual reality technology, 3D multi-user virtual environments (MUVEs) have attracted increasing research attention and are thought to bring many learning benefits in higher education. However, the widespread and sustained application of MUVEs in higher education lies in learners' intention to use them, but the mechanism…
Descriptors: Student Attitudes, Intention, College Students, Educational Technology
Unal, Erhan; Uzun, Ahmet Murat – British Journal of Educational Technology, 2021
Educational social network sites have many uses in the field of education. The present paper aims to determine factors influencing students' behavioral intention to use a popular educational social network site, Edmodo. Using an extension of the technology acceptance model, we analyzed quantitative responses of 218 university students, registered…
Descriptors: College Students, Intention, Social Media, Technology Integration
Fatih Balaman; Muhammet Bas – Interactive Learning Environments, 2023
This study is aimed to develop a scale that measures university students' perception of using e-learning platforms by using the Technology Acceptance Model (TAM). The sample consisted of 636 university students. The Exploratory Factor Analysis (EFA) results revealed 5-factors on a 6-items scale. The five factors that were revealed on the EFA…
Descriptors: Electronic Learning, Computer Attitudes, College Students, Usability
Sarah Alturkustani; Ashley Durfee; Olivia F. O'Leary; Siobhain M. O'Mahony; Conor O'Mahony; Mutahira Lone; Andreea Factor – Anatomical Sciences Education, 2025
Anatomy is fundamental to medical disciplines. However, its complexity can be challenging to learners, and traditional anatomy teaching may not be easily accessible. Virtual Reality has the potential to supplement anatomy education, but its effectiveness depends on students' willingness to accept it. This study aimed to measure students'…
Descriptors: Student Attitudes, Computer Simulation, Anatomy, Electronic Learning
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
Bahçekapili, Ekrem – Research in Learning Technology, 2023
Technology acceptance studies are interesting because they are practical and theoretically helpful in explaining the adoption and intention to use a particular technology. There is a large amount of research on e-learning and other technologies in the literature, but there is limited evidence to explain why secondary school students' intention to…
Descriptors: Foreign Countries, Elementary School Students, Secondary School Students, Technology Uses in Education
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
Madalena Ribeiro e Silva; Joana Carneiro Pinto – Journal of Workplace Learning, 2025
Purpose: The purpose of this study is to test and integrative model that forecasts a range of attributes as both antecedents and consequents of using a gamification app. Design/methodology/approach: The proposed model includes factors from the technology acceptance model (TAM) [perceived ease of use (PEU), perceived usefulness (PU) and attitude…
Descriptors: Gamification, Work Environment, Job Enrichment, Organizational Climate
Kampa, Raj Kishor – Asian Association of Open Universities Journal, 2023
Purpose: The study aims to validate a mobile learning readiness scale through the technology readiness and acceptance model (TRAM), thereby assessing students' readiness to adopt m-learning in teaching and learning, including its acceptance. Design/methodology/approach: A structured questionnaire was administered to open and distance learning…
Descriptors: Foreign Countries, Electronic Learning, Readiness, Open Education