This study investigates the level of teachers' moral capital, the factors influencing this perception, and strategies for its development. The research aims to determine teachers' moral capital levels, identify variables affecting their perceptions, and suggest improvements. A mixed-methods approach was employed, combining both quantitative and…

This study examined the effects of worked examples with different explanation types and novices' motivation on cognitive load, and how this subsequently influenced their programming problem-solving performance. Given the study's emphasis on both instructional approaches and learner motivation, the Cognitive Theory of Multimedia Learning served as…

This article explores the integration of ChatGPT into instructional design, utilizing a backward planning framework to align learning objectives, assessments, and activities for enhanced educational outcomes. Grounded in the principles of Understanding by Design (UbD) the paper introduces a threestep human-AI hybrid co-design model that enables…

Coding and digital game design activities have been used in recent years to contribute to students' academic achievement and twenty-first century skills. This study aimed to investigate the effect of the 5E model enriched with coding and digital game design activities (5EECD) on gifted students' academic achievement and problem-solving skills. A…

In this essay, we argue that both critique and self-criticism are needed to advance, professionalize, and internationalize the field of music education. We identify three "gaps" in the field: the gap between scholarly work and practice, the gap between North American and Northern European interpretations of foundational concepts, and the…

This longitudinal study assessed the career aspirations and ultimate careers of 28 academically talented American girls across three time periods: Time 1 (7th/8th grade), Time 2 (11th/12th grade), and Time 3 (current study, 21 years post-Time 1). Two decades after the initial study, these participants are all in their 30s, identify as female, and…

We develop a conceptual framework for understanding and predicting teacher shortages at the state, region, district, and school levels. We then empirically examine how teacher shortages vary geographically and by subject using data on unfilled teaching positions in Tennessee traditional public schools during Fall 2019. We find that teacher…

Compassion and empathy are foundational to nursing education, influencing patient outcomes and fostering holistic care. Despite their critical role, integrating these values into curricula often encounters challenges, such as limited standardisation, institutional constraints, and the difficulty of assessing emotional competencies. This article…

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…