The Technology Acceptance Model (TAM), proposed by Fred Davis in 1986, is a foundational framework for understanding technology adoption, emphasizing Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) as key determinants of Intention to Use (ITU). While Attitude Toward Using (ATU) was initially central to TAM, it was later omitted in…

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…

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…

The extant research on the factors influencing online education platform learners' continuance intention has yielded inconsistent results, which necessitates a thorough review and reanalysis of relevant literature. Therefore, this study combines different theoretical models and conducts a meta-analysis on 219 articles obtained from Web of Science,…

COVID-19 caused a worldwide education crisis. Schools were forced to close, teachers and parents had little time to prepare, and students were required to learn from home. The purpose of this study was to explore teachers' perceptions of usefulness and ease of use in adopting technology in response to the COVID-19 pandemic and what support or…

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),…

This study examines the relationship between student perceptions and their intention to use generative artificial intelligence (GenAI) in higher education. With a sample of 405 students participating in the study, their knowledge, perceived value, and perceived cost of using the technology were measured by an Expectancy-Value Theory (EVT)…

This study, rooted in the Technology Acceptance Model (TAM), investigates the multifaceted factors that influence teacher education students in Information-Based Teaching to embrace artificial intelligence technologies. To enrich the TAM framework, we have incorporated elements such as Artificial Intelligence Literacy (AIL), Subjective Norms (SN),…

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…

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…

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…

Distance-based technologies have been one of the foci of technology-related studies since the pandemic first appeared, but there is still a need for further research to gain a greater understanding of how teachers are using these technologies in the post-pandemic era. Thus, the aim of this study is to determine whether the level of digital…

This study set out to determine what variables led students to choose mobile learning during COVID-19 and to study the direct impact of the perceived fear of COVID-19 (PCF) on undergraduate learners' intentions to adopt m-learning in developing countries such as Sudan. It utilizes the Technology Acceptance Model (TAM) as a foundation and uses PCF…

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,…

Research shows that videoconferencing tools can be used for delivering high-quality instruction in real-time to a large number of students simultaneously during and even in the aftermath of the pandemic. However, there is a lack of data on how favourable it is among students, particularly in the Philippine setting, in the field of Physical…