This study examines the factors influencing science teachers' intentions to adopt humanoid robots in educational settings. It employs the Unified Theory of Acceptance and Use of Technology 2 (UTAUT-2) and the Technology-Organization-Environment (TOE) framework as guiding theoretical models. By integrating UTAUT-2, which emphasizes individual…

The utilization of artificial intelligence (AI) among students is rapidly gaining prominence worldwide. However, Malaysia lags in terms of research and information in this area. This quantitative study aims to identify the factors that contribute to the adoption of AI among postgraduate students. The study focuses on the postgraduate student…

The study investigated the influence of demographics, a wide range of motivations of new media use and constraints of its use, on the pattern of new media use for educational purposes by Nigerian university students. The rationale was to proffer appropriate strategies towards sustainable and effective deployment, integration, and utilisation of…

Research on Artificial Intelligence in Education (AIED) has rapidly progressed in recent years, and understanding the research trends and development is essential for technological innovations and implementations in education. Using a bibliometric analysis of 6843 publications from Web of Science and Scopus, we found that China, US, India, Spain,…

With the rapid development of digital technology, the current field of digital technology in vocational education around the world is ready to or has already entered the digital transformation stage. China, as an emerging force among developing countries, is diligently striving to catch up in this particular domain. As such, this study aspires for…

The objective of this study is to identify and analyze the scientific literature with a bibliometric analysis to find the main topics, authors, sources, most cited articles, and countries in the literature on virtual reality in education. Another aim is to understand the conceptual, intellectual, and social structure of the literature on the…

As AI increasingly permeates education, understanding teachers' perceptions and interactions with these technologies is essential. The Technological Pedagogical Content Knowledge (TPACK) framework provides a comprehensive lens to examine these interactions with educational AI tools (EAITs). This study explored the factors influencing teachers'…

The rapid development of metaverse technology provides countless opportunities for social interaction, collaboration, communication, and knowledge-sharing that will significantly impact human life. To ensure widespread adoption and acceptance, however, issues concerning approval, accessibility, privacy, and user behavior must be resolved.…

In a world driven by constant change and innovation, Higher Education Institutions (HEIs) are undergoing a rapid transformation, often driven by external factors such as emerging technologies. One of the key drivers affecting the design and development of educational delivery mechanisms in HEIs is the fast pace of educational technology…

Generative Artificial Intelligence (AI) refers to advanced systems capable of creating new content by learning from vast datasets, including text, images, and code. These AI tools are increasingly being integrated into various sectors, including education, where they have the potential to enhance learning experiences. While the existing literature…

This study examines the adoption, strategies, and challenges of Artificial Intelligence (AI) in higher education across the Middle East and North Africa (MENA) region, based on data from 508 participants at 259 institutions across 19 countries. Using a mixed-methods approach, it captures quantitative and qualitative insights into AI integration,…

The use of technology in all fields of education has expanded, and investigating the level of technology integration in schools becomes increasingly significant because it offers data-driven technology integration for policymakers, school administrators, and educators to make better budgeting decisions, determine educator professional development…

Using pre-service teachers' (PSTs) technological, pedagogical, content knowledge (TPACK) survey responses, this study's cluster analysis identified five distinct learning profiles: Pedagogical Content Knowledge Specialists, Technological Forerunners, Pedagogically Minded, Balanced Integrators, and TPACK Lingerers. Instead of using a single…

This study examines the factors influencing preservice teachers' (PSTs) technology integration during teaching practice in teacher preparation programs. Utilizing a multidimensional framework, the study integrates models such as TPACK, UTAUT, and the Triple-E evaluation rubric, among others. The research involved a Qualtrics survey of 1,217 PSTs…

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…