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…

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,…

Recent scholarship has demonstrated the negative impacts of the pandemic on educators. However, it is less clear whether special education teachers (SETs) incurred more severe effects. This mixed-method study draws on a survey of 419 teachers from 38 schools in New York State to identify differential impacts of the pandemic on SETs. Our analysis…

Based on Social Identity Theory, this study contributes to the understanding of how the attachment felt by students to their university (called here institutional attachment) works as a crucial factor in promoting their life satisfaction and decreasing their dropout intentions. The study aimed to investigate the relations between students'…

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,…

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…

Artificial intelligence (AI) has garnered significant attention in recent years, especially following the introduction of generative large language model (LLM)-based chatbots. This study investigates the factors influencing the adoption of ChatGPT, a widely used AI-powered chatbot, among students and teachers. Using the Unified Theory of…

This study explores the crucial influence of technological and individual-social factors on the willingness of university students to use mobile learning (m-learning). It analyzes the direct, indirect, and overall effects of these factors. Furthermore, it examines how gender and age serve as moderators of the direct impact of each determinant on…

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…

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…

In the Chinese rural education system, small-scale schools are an indispensable component. However, teachers in these schools face unique challenges, including a lack of resources, professional isolation, and limited opportunities for professional development. These challenges not only affect teaching quality but also lead to low retention…

This study aims to investigate whether there are differences in the intentions to adopt maker education between in-service and pre-service teachers. It also seeks to identify the key factors affecting their intentions, providing insights for tailoring professional development (PD) training programs to meet the needs of teachers at different career…