This study examined factors driving the adoption of generative artificial intelligence tools like ChatGPT for research writing through an integrated framework combining the Technology Acceptance Model, Task Technology Fit, and Trust in Specific Technology. Responses from 564 researchers in 12 countries were analyzed using a structural equation modeling approach. Intriguingly, perceived usefulness and ease of use were insignificant despite being considered the strongest predictors of behavioral intention in countless studies. Instead, researchers prioritize trusting beliefs and the compatibility between a technology and a task when considering its use. It was also found that trust in the technology has greater explanatory power than task-technology compatibility, and this trust is influenced by beliefs that ChatGPT is a socially and academically accepted tool for manuscript writing. Overall, this study contributes new insights for researchers, funding bodies, publishers, policymakers, and the academic community as they navigate the evolving role of AI in scholarly writing.

The emergence of generative AI tools like ChatGPT has sparked investigations into their applications in teaching and learning. In computer programming education, efforts are underway to explore how this tool can enhance instructional practices. Despite the growing literature, there is a lack of synthesis on its use in this field. This rapid review addresses this gap by examining the current literature to outline research trends, assess how it supports teaching and learning processes, and discern the issues that emerge from its application in programming instruction. A total of 107 documents disseminated across 81 distinct sources and authored by 394 contributors were identified. The review adopted a broad and inclusive approach, selecting literature based on relevance to ChatGPT's application in programming education and encompassing studies from diverse settings and methodologies. Results highlight applications such as personalized tutoring, knowledge reinforcement, instructional material creation, source code generation, immediate feedback, and assessment support. However, its use also introduces challenges such as academic dishonesty, ethical dilemmas, diminished critical thinking, overdependence on ChatGPT, and various technical limitations. Considering these findings, a balanced approach to the utilization of ChatGPT in programming education is essential. Implications and recommendations have been provided to guide policymakers, curriculum designers, teachers, and students in harnessing the benefits of this technology while mitigating potential challenges.

The fusion of molecular-scale engineering in nanotechnology with machine learning (ML) analytics is reshaping the field of precision medicine. Nanoparticles enable ultrasensitive diagnostics, targeted drug and gene delivery, and high-resolution imaging, whereas ML models mine vast multimodal datasets to optimize nanoparticle design, enhance predictive accuracy, and personalize treatment in real-time. Recent breakthroughs include ML-guided formulations of lipid, polymeric, and inorganic carriers that cross biological barriers; AI-enhanced nanosensors that flag early disease from breath, sweat, or blood; and nanotheranostic agents that simultaneously track and treat tumors. Comparative insights into Retrieval-Augmented Generation and supervised learning pipelines reveal distinct advantages for nanodevice engineering across diverse data environments. An expanded focus on explainable AI tools, such as SHAP, LIME, Grad-CAM, and Integrated Gradients, highlights their role in enhancing transparency, trust, and interpretability in nano-enabled clinical decisions. A structured narrative review method was applied, and key ML model performances were synthesized to strengthen analytical clarity. Emerging biodegradable nanomaterials, autonomous micro-nanorobots, and hybrid lab-on-chip systems promise faster point-of-care decisions but raise pressing questions about data integrity, interpretability, scalability, regulation, ethics, and equitable access. Addressing these hurdles will require robust data standards, privacy safeguards, interdisciplinary R&D networks, and flexible approval pathways to translate bench advances into bedside benefits for patients. This review synthesizes the current landscape, critical challenges, and future directions at the intersection of nanotechnology and ML in precision medicine.

PE often finds itself overlooked in the broader discourse on educational innovation, despite its crucial role in fostering lifelong health and well-being. Unlike subjects that easily attract attention due to their academic prestige or technological allure, PE is sometimes seen as secondary, relegated to the sidelines of educational reform. Yet, in an age where global health challenges such as obesity, mental health disorders, and sedentary lifestyles are increasingly prevalent (World Health Organization, 2020), the significance of PE cannot be understated. The Global Innovations in Physical Education and Health book seeks to challenge this perception by highlighting the transformative potential of innovative approaches in PE and health education (Garcia, Lopez Cabrera, et al., 2023). It brings together 69 experts from nine countries—Indonesia, Philippines, China, Ireland, United Arab Emirates, Portugal, India, USA, and Canada—to explore how these innovations are reshaping the way we teach, experience, and benefit from PE, making it a field deserving of as much attention and innovation as any other educational domain. This book serves as a crucial resource in guiding the development of more effective, inclusive, and culturally aware health and PE programs. It sets the foundation for actionable teaching and learning models in various educational and cultural contexts. The coverage includes insights into how different countries approach PE, the integration of health education within these programs, and their impact on student health and academic achievement.

Addressing the worldwide crisis of inadequate physical education (PE) programs requires immediate attention. Despite the advocacy of international organizations like UNESCO and WHO, there still needs to be a significant gap in understanding the effectiveness of PE initiatives globally. Cultural, socio-economic, and policy differences further complicate evaluating and improving these programs. More comprehensive research is needed to promote academic achievement, well-being, and overall health. This is where Global Innovations in Physical Education and Health comes in, a groundbreaking solution poised to revolutionize PE on a global scale. This innovative book serves as a beacon of hope by exploring diverse teaching strategies and creative methods worldwide. Bridging critical research gaps empowers policymakers, educators, researchers, administrators, and health professionals with actionable insights to enhance the quality and inclusivity of PE programs. With its comprehensive coverage of topics such as adaptive PE, nutritional education, and global health initiatives, this book provides a roadmap for transforming PE into a catalyst for holistic health and lifelong well-being.

Online learning has become fundamental to modern academic and professional development. Amidst its widespread adoption, there is increasing integration of artificial intelligence (AI) to enhance the learning experience. Understanding student engagement within these AI-powered digital platforms is crucial, as it directly influences learning outcomes and satisfaction. This chapter provides a narrative review of key theories and models essential for analyzing engagement in virtual learning contexts. Particularly, it focuses on constructivist learning theory, social learning theory, cognitive load theory, flow theory, technology acceptance model, self-determination theory, cognitive theory of multimedia learning, and feedback intervention theory. By examining these frameworks through an epistemological lens, the chapter explores how knowledge acquisition, cognitive processing, and social learning principles interact within AI-enhanced educational contexts. The insights reported here can serve as a guide for optimizing AI to maximize student involvement and educational efficacy.

There have been discussions about the gender gap in STEM majors. While some fields (e.g., Biomedical Sciences) have a high proportion of women workers, the Computer Science (CS) and Software Engineering (SE) disciplines are lacking female specialists. Universities worldwide are implementing different practices to attract more women to the CS and SE programs. This literature review aims to collect literature on this topic, identify the research tendencies, and collect female-inclusive practices. This paper presents the main findings from analyzing 143 selected papers from five academic databases (IEEE, ACM, Web of Science, Science Direct, and Scopus). The analysis revealed the need for inclusivity across all education stages, emphasizing practical studies beyond the classroom. Twenty-eight gender-inclusive practices were identified.

The Philippines is currently grappling with some of the hottest temperatures on record, presenting substantial public health challenges. Alarmingly, the temperature in Metro Manila reached a staggering 38.8 degrees Celsius (℃) this year, producing a perilous heat index (i.e., “feels like” temperature) of 45 ℃ due to high humidity (1). This recent spike in heat has surpassed the previous record set in 1915, and with Philippine Atmospheric, Geophysical and Astronomical Services Administration’s (PAGASA) reporting that heat indices could potentially soar above 52 ℃ in certain areas (2), the risk to public health is significant (3). According to the Department of Health (4), the Philippine Atmospheric, Geophysical and Astronomical Services Administration (PAGASA) classified temperatures ranging from 33–41 ℃ as “extreme caution” levels, while 42–51 ℃ falls into the “danger” category. Temperatures of 52 ℃ and above are classified as “extreme danger”, where heat stroke is imminent. This issue is not confined to the Philippines, as many Asian countries are experiencing unprecedented heatwaves (5), making this a broader regional crisis that demands urgent attention and action.

This letter highlights an escalating concern regarding predatory conference speaker invitations that are currently plaguing academia. Such invitations are frequently issued to individuals outside their areas of expertise, for instance, non-healthcare professionals being invited to health-related conferences. This issue poses a substantial threat as it compromises the integrity of legitimate academic discourse and carries the risk of propagating unchecked and potentially detrimental information. To avoid becoming ensnared by these predatory practices, it is paramount to undertake thorough due diligence. Consequently, this letter also outlines the characteristics of predatory speaker invitations. These guidelines underscore the necessity for the academic community to remain vigilant and judicious, thereby recognizing these overtures for what they truly represent: a deceptive temptation that leads away from authentic scholarly engagement toward a facade of recognition and prestige.

The evolution of AI technologies, exemplified by ChatGPT, signifies a transformative shift in our interactions with information and each other. This shift necessitates that our policies and mental health interventions adapt to protect the psychological well-being of individuals in this digital age. It is imperative that not only the psychiatric community but also policymakers, technologists, ethicists, and indeed, the broader society, engage actively in leading the development of comprehensive policies that confront these challenges directly. Encouraging collaboration across these diverse sectors is crucial. By fostering an environment of proactive policy development and implementation, we can collectively ensure that our engagement with AI not only supports but also enhances our mental health, rather than detracting from it. Together, we can harness the positive potential of AI, ensuring it serves as a tool for improving mental health outcomes and the overall quality of life for people around the globe.