This study examines educators' perceptions of adopting Generative Artificial Intelligence (GenAI) tools in education through the lens of the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model. Using structural equation modeling (SEM) on data collected from 490 participants, the research investigates: (a) the extent to which…

The incorporation of artificial intelligence (AI) into education is becoming more important over time, although faculty viewpoints on this integration are not well recognized. To analyze educators' attitudes towards AI tools in Bangladesh, this research built a modified model that included components from the technology acceptance model (TAM),…

Although Generative Artificial Intelligence (GAI) has demonstrated significant potential in education, there is a lack of research on pre-service teachers' behavioral intentions toward GAI. This study is based on the UTAUT2 model and, for the first time, introduces perceived risk as a key variable to systematically investigate the factors…

The growing popularity of interpreting technology in the industry has raised awareness of incorporating it into interpreter education. However, it is unclear what factors may contribute to students' behavioral use and the consequent effects of using it. With the addition of three external factors (motivation, task-technology fit, and technology…

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 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 paper reports on literature related to the assessment of barriers to educational technology assessment. It surveys the development of technology acceptance models from social cognitive theory and innovation diffusion theory through to a unified theory that considers performance expectancy, effort expectancy, and social influence. Because risk…

Aim/Purpose: This study investigates the key factors influencing preschool teachers' sustained use of Artificial Intelligence-Generated Content (AIGC) technology in educational settings. While prior research has extensively examined initial adoption, little attention has been given to understanding the continuous intention of preschool teachers…

Purpose: The research aims at examining educators' perceptions, attitudes and behavioral intentions toward learning analytics (LA) and the role of self-instruction within the proposed model for LA adoption. Design/methodology/approach: A quantitative approach is utilized in which a questionnaire is designed as a tool for data collection and…

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…

In the context of the widespread integration of artificial intelligence (AI) technology into education, this study aims to understand the factors influencing Vietnamese mathematics teachers' adoption of ChatGPT in secondary school teaching. Based on the Unified Theory of Acceptance and Use of Technology model, the study uses a quantitative…

The examination of the impact of Generative AI (GenAI) on higher education, especially from the viewpoint of students, is gaining significance. Although prior research has underscored GenAI's potential advantages in higher education, there exists a discernible research gap concerning the determinants that affect its adoption. In the present study,…

The COVID-19 pandemic heavily accelerated the adoption of online education. Technology adoption literature indicates that individuals are motivated to adopt technology as a result of various factors including social influence, performance expectations, effort expectations, and the conditions that facilitate their use. These factors are mediated by…

Generative Artificial Intelligence (GAI) technology, represented by large language models, has driven an in-depth transformation of foreign language education and research. In the era of digital intelligence, how digital technology empowers English as a Foreign Language (EFL) teaching and academic research is a new topic for foreign language…