Student engagement is critical for learning and adjustment, but poor personal resources, such as low academic self-concept and mental health problems, can impede the individual's capacity to engage in academic activities. The present study's main aim was to investigate whether student-perceived emotional support from teachers in upper secondary…

Previous studies have linked experiences with chance events to shifts in career intentions, but they have not investigated chance events as agents of career shifts in graduate students. This study investigated the types of chance events and perceived impacts of those events on the career intentions of life science graduate students at a university…

This novel qualitative study explores the transformative potential of Virtual Reality (VR) in augmenting Computer-Based Training (CBT) for energy industry contractors. By immersing participants in four VR simulations, the study delves into the heart of how learners perceive hazardous work environments and emergency procedures in VR. The findings…

Digital teachers represent an innovative fusion of media and artificial intelligence (AI) within online educational environments. However, the specific ways in which the appearance anthropomorphism of digital teachers influences the delivery of different knowledge types remain insufficiently understood. Drawing on Embodied Learning Theory and…

Transfer beliefs are understudied in the training transfer field, whereas structural equation modelling (SEM) has been a widely used technique to study transfer models. New methodologies are needed to study training transfer and network analysis (NA) has emerged as a new approach that provides a visual representation of a given network. We…

The rapid development of generative AI (GenAI), such as ChatGPT, has created both opportunities and challenges for its use in education. Some educators have expressed concern that such rapid report generation from AI may encourage cheating or hinder the development of critical thinking skills in students. Moving beyond mere acceptance, we propose…

Presenteeism is a severe global public health issue, which is widespread in the community of teachers. Limited evidence shows presenteeism patterns and their associations with work engagement and turnover intention among primary and secondary school teachers in China. In this study, latent profile analysis (LPA) was used to categorize the…

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…