This study investigates the adoption and usage of artificial intelligence (AI) technologies among Chinese undergraduate accounting students, focusing on the roles of Social Influence (SI), Behavioral Intention (BI), and Actual Usage (AU), while examining the mediating effect of BI and the moderating effect of Voluntariness of Use (VOU). By…

Various factors, including technical, organisational, cultural, and individual, can influence how people adopt digital technologies (DT). However, different contexts have produced similar yet distinct results when researchers integrated these various factors into the technology acceptance model (TAM). Two critical factors in the Islamic…

This qualitative study explored the factors that influence teachers' behavioural intention (BI) to use ChatGPT for teaching. The data was collected from 214 Bhutanese teachers using open-ended questions and interviews. The thematic analysis revealed four key factors that are likely to influence teachers' BI to use ChatGPT in the context. These…

Adopting technology by its intended users is one of the most important contributors to that technology's success. Therefore, the success of mobile learning (ML) depends on the students' acceptance of the method. Regarding this point, this quantitative research aims to identify factors that affect switching intention to adopt ML among university…

Artificial Intelligence (AI) is driving ecological shifts and systemic reforms in education. As practitioners of educational reform, teachers' behavioral intention to experience and accept the effectiveness of AI technologies will affect the quality of educational change. From an educational ecology perspective, this study explores the impact of…

Integrating Information and Communication Technologies (ICT) for meaningful constructivist instruction has become essential in teacher education. This study investigated preservice teachers' intention to integrate ICT for constructivist learning from the perspectives of their Internet epistemic beliefs (IEB) and Internet-based learning…

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…

This study aims to investigate the factors influencing teachers' intentions to integrate Virtual Reality (VR) technology into their educational practices, utilising the Unified Theory of Acceptance and Use of Technology (UTAUT-2) framework. The research involved adapting and validating the 'Acceptance of Mobile Immersive Virtual Reality in…

This study contributes to the extant literature on instructional technology by investigating the relationships between the social and personal factors and behavioral intention to use virtual reality. Moreover, the current study examined the links between perceived characteristics of virtual reality and attitude and the moderating role that can be…

The COVID-19 pandemic has prompted the adoption of an e-Learning pedagogy. This forced teachers and students to shift to online learning and thus was compelled to adopt online educational technology. Educational institutes have been facing challenges like insufficient infrastructure and a shortage of quality teachers. Online learning can help to…

Robotics, an emerging tool in STEM education, promises a multitude of educational benefits, ranging from hands-on learning experiences to fostering critical thinking and collaborative skills. However, the integration of robotics in classrooms is primarily contingent upon science teachers' inclination and willingness to adopt this technology. To…

This study aims to identify factors that can influence students when using the learning management system (LMS) in learning educational pedagogy. The LMS that we mean in this study is Pedagogi.id Platform. The design model in the study uses the UTAUT model. Questionnaires with five UTAUT variables, namely performance expectancy, effort expectancy,…

Higher education has seen substantial changes with the growing integration of computer-based intelligence technologies into the learning process. Nevertheless, the acceptance of computer-based intelligence in advanced educational settings is still faced with various difficulties, including perceived dangers, implementation assumptions, and…

This study developed a Learning Materials Repository Hub (LMRH) to digitize educational resources for the K-12 education system, addressing the need for centralized, high-quality, and accessible learning materials. Using a developmental research approach, Graduate School students created Digitized Learning Materials (DLMs) aligned with the Most…

"Virtual Reality" (VR) is increasingly being viewed as one of the most effective and efficient instructional tools in educational settings. The successful implementation of this innovative instructional technology presupposes teachers' acceptance and diffusion. And prospective teachers, as the teacher talent pool, their beliefs and…