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Showing 1 to 15 of 31 results Save | Export
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HanXi Li; Younghwan Pan – Education and Information Technologies, 2025
This study based on the Hedonic Motivation System Adoption Model (HMSAM), the Expectation Confirmation Model (ECM), and Task Technology Fit (TTF), explores the factors influencing users' continuance intention in gamified learning within metaversity. A total of 286 valid questionnaires were collected using random sampling. The data were analyzed…
Descriptors: Gamification, Technology Uses in Education, Student Motivation, Models
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Jiwon Chung; Hun-yeong Kwon – Education and Information Technologies, 2025
OpenAI's generative pre-trained transformer (ChatGPT) is rapidly transforming fields such as education and becoming an integral part of our daily lives. However, its rise has sparked intense privacy debates, raising concerns about the storage of personal information and attracting global regulatory scrutiny. ChatGPT is gaining popularity among…
Descriptors: Artificial Intelligence, Privacy, Technology Uses in Education, Undergraduate Students
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Anshita Chelawat; Richal Tuscano; Roshani Prasad; Seema Sant – International Journal of Learning Technology, 2025
This study aims to explore factors predicting the use of e-learning as a sustainable solution in Indian higher education institutions by employing a modified version of the technology acceptance model (TAM). An online questionnaire (n = 200), capturing post-graduate management students from the Mumbai Metropolitan Region, was analysed using…
Descriptors: Educational Technology, Electronic Learning, Graduate Students, Value Judgment
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Yao Wang; Yiting Zhao; Xin Tian; Jiachen Yang; Shijian Luo – International Journal of Technology and Design Education, 2025
This study aims to examine design students' intention towards using Artificial Intelligence-aided Design Tools (AIDTs). An extended model is developed by combining the affective-cognitive consistency theory with the Unified Theory of Acceptance and Use of Technology (UTAUT). Data are collected through online comments from Chinese streaming media…
Descriptors: Foreign Countries, Design, Student Attitudes, Intention
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Alhasan, Ameer; Hussein, Mahmood H.; Audah, Lukman; Al-Sharaa, Ammar; Ibrahim, Ishaq; Mahmoud, Moamin A. – Education and Information Technologies, 2023
Recently, the education sector has received increased interest in terms of the adoption of Internet of things (IoT) services for learning activities. However, despite this interest, empirical studies on the adoption of IoT services in the smart classroom are limited. Thus, the present study examines students' intention to use IoT services in the…
Descriptors: Undergraduate Students, Intention, Technology Uses in Education, Learning Activities
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Wenbin Du; Ruo-yu Liang – SAGE Open, 2024
This work aims to investigate the cultural and psychological factors that significantly affect teachers' intention to accept VR technology and use it long-term in their classes in elementary and secondary schools. The extended unified theory of acceptance and use of technology (UTAUT2) model effectively measured such factors in this context. We…
Descriptors: Computer Simulation, Technology, Intention, Technology Uses in Education
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Hui-Shan Lo; Cheng-Ming Chen; Jon-Chao Hong; Ting-Fang Wu – Journal of Special Education Technology, 2025
The purpose of the current study was to develop an appropriate model to represent the relationships among the factors relating to the intention of vocational training professionals to use virtual reality vocational training systems for persons with disabilities. A questionnaire based on the theory of the value-based adoption model was used to…
Descriptors: Career and Technical Education, Computer Simulation, Students with Disabilities, Value Judgment
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Muhammad Ittefaq; Ali Zain; Rauf Arif; Taufiq Ahmad; Laeeq Khan; Hyunjin Seo – Journal of International Students, 2025
GenAI has revolutionized higher education across the globe. One group that is particularly impacted is international students. We examined the factors influencing international students' intentions to use GenAI. We recruited participants studying in the U.S. through an online survey. Our results suggest that attitudes toward GenAI use, PEU, PU,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Foreign Students, Student Attitudes
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Hoi, Vo Ngoc; Hang, Ho Le – Education and Information Technologies, 2021
Research and practice in the use of social networks for educational purposes have indicated the potential of Facebook as an online supplementary learning platform. Yet, empirical evidence regarding students' perception and acceptance of Facebook remains limited. This study adopts an exploratory sequential mixed methods design to understand factors…
Descriptors: Student Behavior, Intention, Social Media, Technology Uses in Education
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Tao, Da; Fu, Pei; Wang, Yunhui; Zhang, Tingru; Qu, Xingda – Interactive Learning Environments, 2022
In spite of the proliferation of Massive Open Online Courses (MOOCs) in higher education, factors influencing user acceptance of MOOCs are not well understood. This study is intended to investigate key characteristics of user acceptance from interface design (i.e. usability), content quality (i.e. perceived quality), and emotional arousal (i.e.…
Descriptors: MOOCs, Computer Attitudes, Educational Technology, Technology Uses in Education
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Yu-Yin Wang – Education and Information Technologies, 2025
Considering the proliferation of artificial intelligence (AI) technologies, it has become crucial to integrate AI-related knowledge and skills education into business management curricula. This is a significant concern for both academics and practitioners. However, in the context of university business management education, few studies have…
Descriptors: Individual Differences, Intention, Artificial Intelligence, Technology Uses in Education
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Sy-Yi Tzeng; Kuang-Chao Yu – Journal of Technology Education, 2024
There are two difficulties associated with many previous evaluations of students' attitudes toward technology. First, most questionnaires focus on social and family environments, neglecting the schooling environment. Second, although some studies have considered the schooling environment, there has been no systematic review of these studies. To…
Descriptors: Student Attitudes, Educational Technology, Technology Uses in Education, Educational Environment
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Sing, Chai Ching; Teo, Timothy; Huang, Fang; Chiu, Thomas K. F.; Xing wei, Wang – Educational Technology Research and Development, 2022
As Artificial Intelligence (AI) is rapidly integrated into existing technologies which has brought forth the fourth industrial and learning revolution, designing curriculum for AI education has become an important strategic development for education authorities throughout the world. Framed broadly from the Theory of Planned Behavior, this study…
Descriptors: Secondary School Students, Intention, Technology Uses in Education, Artificial Intelligence
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Noble, Sean M.; Saville, Jason D.; Foster, Lori L. – International Journal of Educational Technology in Higher Education, 2022
Post-secondary institutions are investing in and utilizing virtual reality (VR) for many educational purposes, including as a discretionary learning tool. Institutions such as vocational schools, community colleges, and universities need to understand what psychological factors drive students' acceptance of VR for learning in discretionary…
Descriptors: Computer Simulation, Video Technology, Computer Attitudes, Adoption (Ideas)
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Si Xu; Pengfei Chen; Ge Zhang – SAGE Open, 2024
Artificial Intelligence (AI) tools are having a significant impact on the field of education, particularly when used by educators. This study aims to explore the acceptance of AI tools among university-level educators. Researchers adapted the UTAUT2 (Unified Theory of Acceptance and Use of Technology) model to the Chinese educational context and…
Descriptors: Foreign Countries, College Faculty, Teacher Attitudes, Intention
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