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Pengfei Yang; Shaowen Qian – SAGE Open, 2025
E-learning has revolutionized the educational landscape, changing how knowledge is imparted to students and enhancing the learning process. Despite the growing popularity of e-learning worldwide, a lingering question remains regarding the behavioral intentions of Physical Education students toward its use. This study endeavors to address this…
Descriptors: Foreign Countries, Physical Education, Intention, Electronic Learning
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
Ruijuan Li; Yuanchun Zhou; Hua Wang; Qi Wang – International Journal of Sustainability in Higher Education, 2025
Purpose: Reusable takeaway food containers (RTFCs) are a newly emerging green packaging choice for the takeaway industry that can effectively reduce campus solid waste but are not yet well accepted. Therefore, this study aims to identify the key factors influencing university students' intention to choose RTFCs, seeking to enhance RTFC project…
Descriptors: College Students, Intention, Decision Making, Recycling
Brian Shambare; Thuthukile Jita – International Journal of Virtual and Personal Learning Environments, 2025
In many Global South countries, including South Africa, the adoption of Virtual Lab (VL) remains largely conceptual. This paper emphasizes the necessity of understanding teachers' perceptions of VL before implementation to mitigate risks of abandonment or underutilization post deployment. Guided by the Technology Acceptance Model (Davis, 1989),…
Descriptors: Foreign Countries, Science Education, Educational Technology, Computer Simulation
Xiao Xu – Discover Education, 2025
A crucial need for a comprehensive understanding and assessment of mobile learning readiness exists in light of most adult learners' lack of preparedness for mobile learning. This study developed a seven-factor mobile learning readiness construct and crafted a 26-item scale integrating the Technology Acceptance Model, Unified Theory of Acceptance…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
B. Herawan Hayadi; Taqwa Hariguna – Contemporary Educational Technology, 2025
This study explores the factors influencing student engagement and behavioral intention towards mobile learning platforms, with a focus on widely used platforms in Indonesia, such as Ruangguru, Zenius, and Quipper. A total of 375 questionnaires were distributed, out of which 363 were deemed valid and used for analysis. The research employed…
Descriptors: Student Behavior, Intention, Telecommunications, Handheld Devices
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
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
Olga V. Sergeeva; Marina R. Zheltukhina; Tatyana Shoustikova; Leysan R. Tukhvatullina; Denis A. Dobrokhotov – Contemporary Educational Technology, 2025
Generative artificial intelligence (GAI) technologies are gaining traction in higher education, offering potential benefits such as personalized learning support and enhanced productivity. However, successful integration requires understanding the factors influencing students' adoption of these emerging tools. This study investigates the…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Technology Integration
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
Xin Tang; Zhiqiang Yuan; Shaojun Qu – Journal of Computer Assisted Learning, 2025
Background: Generative artificial intelligence (AI) represents a significant technological leap, with platforms like OpenAI's ChatGPT and Baidu's Ernie Bot at the forefront of innovation. This technology has seen widespread adoption across various sectors of society and is anticipated to revolutionise the educational landscape, especially in the…
Descriptors: Influences, College Students, Student Behavior, Intention
S. Koza Ciftci; Engin Karadag; Hatice Ergin-Kocaturk – Technology, Pedagogy and Education, 2025
The COVID-19 pandemic necessitated a rapid transition to online education, presenting adaptation challenges for faculty members unfamiliar with distance education methodologies. Certain institutions have demonstrated greater efficacy owing to prior experience in this domain. This study investigates faculty acceptance and utilisation of mandatory…
Descriptors: Foreign Countries, COVID-19, Pandemics, Online Courses
Joseph Lobo; Kirth Teodosio; Kristia Estilo; Michael Achas; Johnlenon Aliser; Christie Lynne Codod – Journal of Educators Online, 2025
This predictive-causal study determined the factors affecting students' Behavioral Intention (BI) and Actual Use (AU) of Canvas Learning Management System (LMS) and Zoom for both synchronous and asynchronous classes in a private higher education institution in the Philippines adopting Technology Acceptance Mode (TAM). After surveying 496 students,…
Descriptors: Learning Management Systems, Videoconferencing, Physical Activities, Health Promotion
Fang Huang; Timothy Teo; Xueyu Zhao – Computer Assisted Language Learning, 2025
While teachers' technology adoption has received increasing attention in the digital age, little effort has been made to examine ethnic minority English teachers' technology use. This study aims to unpack Chinese ethnic minority English teachers' technology adoption and examine factors that influence their intentions to use technology by employing…
Descriptors: Foreign Countries, Minority Group Teachers, Ethnic Groups, Language Teachers