Motivated by the need to understand the role of digital tools such as Moodle in foreign language learning, this study explores the acceptance and use of Moodle by students in the German Language Education Study Program at Universitas Pendidikan Indonesia (UPI). Using a mixed-method approach, we examined students' acceptance of Virtuelles…

Smart classrooms which are facilitated by advanced technology have become a digital learning platform for all university students. Despite their significance in higher education, the number of students adopting the current technology has remained significantly low; thus, universities have to find new solutions to convince their students to quickly…

While the significance of motivation in the adoption of mobile learning has been well-documented in numerous studies, empirical evidence regarding the roles of cognitive, social, and affective needs remains limited. This presents a notable gap in the field of education concerning the influence of motivational factors on mobile learning acceptance.…

SAE for All was introduced by the National Council for Agricultural Education as an innovative model of implementing Supervised Agricultural Experience instruction and better serving all students in School-Based Agricultural Education. States have varied on whether and how they have pushed forward the new model for teachers. In North Carolina, the…

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 use of generative artificial intelligence (GAI) in academic research has created a need to understand graduate students' intention to adopt this technology. This study extended the technology acceptance model (TAM) to explore the factors that influence graduate students' willingness to use GAI for academic research purposes. We…

Generative Artificial Intelligence (GAI) has received widespread attention recently, influencing teacher education in various ways. However, there is little discussion on pre-service teachers' behavioral intention towards GAI. Therefore, this study employs subjective norm, AI self-efficacy, facilitating conditions, and trust to expand the…

This study explores the influence of emotional intelligence and privacy orientation on attitudes and intentions to learn with mobile technologies. Data were collected from 272 respondents in Kazakhstan, a country with a transitioning economy. The findings reveal that both emotional intelligence and privacy orientation positively affect attitudes…

Although the use of AI technology driven by anxiety has become increasingly common, research on the relationship between high school students' math anxiety and their intention to use AI for problem-solving remains limited. This study, grounded in the Stimulus-Organism-Response (SOR) model, aims to explore the relationship between math anxiety and…

Background: The Social Information Processing (SIP) model has helped to identify specificities in the stages preceding the execution of social behaviour in people with mild intellectual developmental disorder or borderline intellectual functioning. However, uncertainties remain about the involvement of the underlying processes and their…

Even as regulation policies prohibiting educational dissection have become more prevalent, some teachers continued to express an intent to perform it. This study attempted to empirically explore how biology teachers' intentions to teach dissection are constructed, focusing on four factors: the perceived educational effectiveness of dissection,…

High turnover among early childhood teachers (ECTs) affects children's quality of care and development at a vital stage. Our study explored the antecedents of ECTs' turnover intention and the buffers against it. Drawing on the conservation of resources theory, we proposed that work-family conflict (WFC) and family-work conflict (FWC) increase…

The usage of artificial intelligence (AI) in education is quickly growing, with chatbots gaining popularity as potential tools for supporting teaching and learning. This study looks into the elements that influence teachers' willingness to use chatbots in their teaching techniques. Drawing on the Unified Theory of Acceptance and Use of Technology,…

The COVID-19 pandemic disrupted teacher candidates' ability to complete licensure requirements, prompting many states to temporarily reduce professional entry requirements to avoid teacher shortages. This study examines the emergency teaching license in Massachusetts, which allowed individuals with only a bachelor's degree to enter the teacher…