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…

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…

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,…

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…

Artificial Intelligence (AI) can transform all sectors and daily life, but its integration into Public Relations (PR) education and adoption by PR professors is underexplored. This study examines these factors using the Technology Acceptance Model (TAM), focusing on seven variables: social influence, perceived AI knowledge, trust, emotion, AI…

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…

Educators must effectively integrate technology into their teaching practices in today's technology-driven world. This study investigated factors influencing technology integration into teaching among mathematics educators in Gauteng secondary schools in South Africa. The unified theory of acceptance and use of technology, extended by adding the…

Purpose: This paper aims to explore students' intention to use and actual use of the artificial intelligence (AI)-based chatbot such as ChatGPT or Google Bird in the field of higher education in an emerging economic context like Bangladesh. Design/methodology/approach: The present study uses convenience sampling techniques to collect data from 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…

Metaverse, an amalgamation of diverse information technologies, is seen as the future of the internet and holds promise for transforming education. Leveraging metaverse media for immersive learning has the potential to reshape education practices. Despite being a novel concept, metaverse-based education has the capacity to enrich online learning…

This study aims to explore the various factors influencing students in adopting e-learning in educational institutions in Saudi Arabia and analyze the relationship between factors of students' adoption of e-learning and student behavior intention. The study also analyzes perceived opportunities and challenges faced by students in adopting an…

The current study aimed to know the factors that affect university college student's acceptance and use of Mobile learning (ML), and to discover the relationships between these factors. The researcher used the relational descriptive approach through the questionnaire Instrument. The questionnaire consisted of (25) items distributed on (7) factors…

The evolving Metaverse in Higher Education (HE) in Mexico can enrich pedagogy, facilitate skills development, and improve students' learning experience. This research aimed to identify the factors guiding the adoption of the Metaverse in a Business School in Mexico. A survey analysis was conducted to gauge insights from stakeholders on the…