This qualitative case study aims to enhance the acceptance and adoption of gamification in higher education, focusing on the American University of Bahrain (AUBH) as a unique context. Grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT), this research investigates the integration of gamification in AUBH and its influencing…

Educators expect artificial intelligence (AI) to augment student capabilities and rapidly transform teaching and learning practices. However, little is known about students' perceptions of AI and what they expect from AI in student-AI teaming. There is a lack of holistic understanding of the nature, effects, and areas of improvement in teamwork by…

The Red Queen effect takes its name from a scene in Lewis Carroll's "Through the Looking-Glass," where Alice and the Red Queen are constantly running, yet remain in the same place relative to one another. In competitive ecosystems, this translates to the idea that, "in order to survive, a technology solution must evolve faster just…

This study aimed to reveal science teachers' expectations from a technology-based professional development program and designate the said program accordingly. The case study was carried out with 12 science teachers of gifted students. In order to identify the needs of the teachers for effective technology integration in the classes, interviews…

This study aims to explore the influences of self-efficacy and school climate on motivation for technology integration in education. Albert Bandura's Social Cognitive Theory was used as the theoretical framework. Outcome expectancy was used as a central motivational factor. A foundational model was constructed to explore the relationships among…

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…

Information Systems (IS) and Information Technology (IT) fields face a unique challenge because of the constant changes in the underlying technologies that need to be taught. The rapid overturn of content leads us to need a variety of strategies to maintain an up-to-date curriculum for our programs. This research continues a seventeen-year data…

Technology development has changed students' characteristics and learning needs. As facilitators of student learning, teachers should be able to use learning technology effectively in their classrooms. This study aimed to examine teacher preferences in using learning technology and explore key factors for using learning technology. This study used…

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…

Purpose: This study aims to examine the integration of AI in student engagement and its benefits in the learning environment. Design/methodology/approach: The study employed a quantitative research method, analyzing data from a sample of 720 students. The econometric data analysis used the structural equation modeling (SEM) technique. Findings:…