Interprofessional collaboration (IPC) in healthcare is regarded as important by professionals, as it increases the quality of care while decreasing costs. Interprofessional education (IPE) is a prerequisite for IPC and influences learners' attitudes, knowledge, and collaboration skills. Since attitudes shape behavior, understanding how they are…

As societies age, Alzheimer's disease and other forms of dementia have become more common. Previous research has shown that people with more education are less likely to develop dementia or have it occur later in life. The authors show that this relationship is likely causal, both in the United States and in six lower- and middle-income countries.…

Speaker diarization, the process of identifying "who spoke when" in audio recordings, is essential for understanding classroom dynamics. However, classroom settings present distinct challenges, including poor recording quality, high levels of background noise, overlapping speech, and the difficulty of accurately capturing children's…

Background/purpose: Depressive symptoms are prevalent in student-athletes. Evidence for the factorial validity of measures assessing depressive symptoms in student-athletes is presently absent from the literature. This study examined the best fitting factorial structure and invariance across sexes of the PHQ-9. Methods: Data were collected from…

In this study, we examine the role of AI-driven marketing in international student recruitment, focusing on how perceived usefulness, trust, and personalization influence decision-making. Grounded in the Technology Acceptance Model (TAM), the Trust-Based Decision-Making Model, and the Personalization--Privacy Paradox, we studied how AI-powered…

This study explores the role of perceived utility, social influence, and ethical concerns in the adoption of AI-based data analysis tools among academic researchers in China, focusing on differences between public and private universities. The research aims to identify key drivers and barriers influencing the integration of AI technology in…

The study uses the partial least squares-structural equation modeling (PLS-SEM) algorithm to predict the factors affecting the programming performance (PPE) (low, high) of the students receiving computer programming education. The participants of the study consist of 763 students who received programming education. In the analysis of the data, the…

Background/purpose: This study aimed to develop and validate a causal model of factors influencing the mathematical reasoning ability of Grade 6 students in Thailand. Materials/methods: The sample consisted of 530 students selected through multi-stage random sampling. Research instruments included a basic mathematics knowledge test, a mathematical…

This study aimed to design an integrative instructional model to enhance Islamic legal literacy, ma?la?ah reasoning, and the character of religious moderation character through digital technology. Employing a Research and Development (R&D) approach tailored for Islamic higher education, the research involved needs analysis, model development,…

With the global rise of digital education, fragmented academic reading has attracted increasing attention, as an emerging learning mode among university students in various countries. This study explores the factors influencing university students' acceptance and use of fragmented academic reading through a comprehensive framework that integrates…

Information frictions--where a worker and her current employer know more about the worker's productivity than prospective employers--have complex equity-efficiency implications in the teacher labor market. Reducing information frictions may make it easier for effective teachers to move to their preferred schools and increase cross-school…

This study looks at the relevance of Holland's Hexagonal Model of vocational interests within a collectivistic cultural context by examining the alignment between RIASEC personality types and occupational daydreams among Indonesian high school students. Informed by a mixed-methods approach, 649 students completed the Self-Directed Search (SDS),…

This study examined the relationship between trust in AI-powered educational technology (AI-EdTech) and school burnout among Turkish high school students and the mediating role of perceived usefulness and academic stress in this relationship. A total of 619 students (M[subscript age] = 15.95, SD = 0.94) participated in the study, and structural…

Regulations and policy in early care and education (ECE) is based largely on the idea that structural elements of ECE, such as child-adult ratio, predict teacher-child interactions that then predict child developmental outcomes. This structure-process-outcome model was initially proposed when many states had minimal ECE quality standards. Our…

This research aimed to develop and evaluate a creative leadership program for secondary school teachers under Provincial Administrative Organizations in Northeastern Thailand. Employing a comprehensive research and development methodology, the study proceeded through three sequential phases. In Phase 1, we analyzed the components of creative…