The research model, which aims to determine the correlation between the level of teacher candidates taking teacher educators as role models in technology use and the level of technology acceptance and use and to what extent teacher candidates taking teacher educators as role models in technology use predicts technology acceptance and use, is a…

Previous research has extensively explored the integration of Information and Communication Technology (ICT) in education. However, much of previous research has not differentiated between the environments where ICT is used, particularly in terms of its perceived usefulness in school versus at home. This gap in understanding the contextual…

Recent progress in artificial intelligence (AI) has aroused interest in the growth and development of educational AI tools (EAITs). Teachers' adoption of EAITs in classrooms has helped in shaping instructional decisions taken by them in an attempt to promote intelligently and actively students' meaningful learning of contents areas. Nevertheless,…

This study explored factors influencing ChatGPT adoption among higher education students in five Nordic countries (Sweden, Finland, Denmark, Norway, and Iceland) and the USA. The unified theory of acceptance and use of technology 2 (UTAUT2) framework was employed and extended to incorporate personal innovativeness. Data was collected from 586…

This study examines a level and model for technology acceptability and use in online learning inside universities. The unified theory of UTAUT is used as an analysis tool. An associative quantitative method is used with a sample of 392 students. Data were collected by distributing questionnaires through a specially designed Google Form. The data…

The integration of AI-chatbots into higher education offers the potential to enhance learning practices. This research aims to explore the factors influencing AI-chatbots adoption within higher education, with a focus on the moderating roles of technological proficiency and academic discipline. Utilizing a survey-based approach and advanced…

Generative artificial intelligence (AI) is increasingly transforming higher education by enhancing teaching methodologies, automating administrative tasks, and supporting research initiatives. Faculty adoption of generative AI is crucial for maximizing its potential benefits; however, its acceptance remains inconsistent due to factors such as…

This study aims to examine university students' intentions to use artificial intelligence (AI) applications in their educational processes within the context of job characteristics (JC), technology characteristics (TC), task-technology fit (TTF), and self-efficacy (SE). The research was conducted with 965 students enrolled in Information…

Objectives: In this study, we investigate the intentions of research scholars to use ChatGPT in their academic research endeavors by employing an extended Unified Theory of Acceptance and Use of Technology model, the UTAUT2, which examines factors such as performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic…

Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…

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…

Background: According to gender-differentiated attributions of failure in the STEM field, errors tend to be attributed to internal factors more to girls than to boys. Aims: This experimental study explored factors influencing gender-differentiated teachers' internal attributions of girls' and boys' errors and the consequent likelihood of teachers'…

This study presents an in-depth examination of the role of Generative Artificial Intelligence in enhancing entrepreneurial success, situated within the educational context of a leading business school in Peru. Utilizing the Technology-to-Performance Chain framework, the research integrates both qualitative and quantitative methodologies to explore…

This study builds on the increasing relevance of technology integration in higher education, specifically in artificial intelligence (AI) usage in educational contexts. Background research highlights the limited exploration of AI training in educational programs, particularly within Latin America. AI has become increasingly pivotal in educational…

This study examines learners' acceptance of an immersive STEAM-based microlearning environment from the perspective of the Technology Acceptance Model (TAM), utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) as the primary analytical approach. While immersive technologies such as virtual reality (VR) and augmented reality (AR)…