globusjournal

With the rapid and significant advancement of technology nowadays, there are a lot of themes to be explored in the field of integrating technology into health and fitness. The role of online applications such as fitness trackers is the main concept to be addressed. The purpose of this study is to gain insight regarding how fitness tracking applications assist the lifestyle transition of an individual from being sedentary to becoming more active. The study is centered on identifying which app features encourage students to make long-term changes to their habits and lifestyle. Qualitative-Phenomenological Approach is employed in this study to better understand the experience and perspective of the students concerning the role of fitness apps in lifestyle development. Therefore, the use of in-depth interviews with the key informants is utilized in gathering data specifically the viewpoint and testimonies of the students. Consistent with the stated purpose, this study opts to serve as a guide for future application developers and enlightenment for individuals as for the function of technology in relation to fitness and well-being.

Keywords: Role, Fitness Tracking Applications, Lifestyle.

PISA has recorded data that states that the Philippines is the sixth lowest country in the world in terms of the subject Mathematics. This current issue calls attention to focus on improving Filipino students’ arithmetic skills. With technology being one of the most commonly used tools in teaching, this study investigated the possibility of using Artificial Intelligence (AI) to teach Mathematics. Through the earned perspectives from educators by employing a qualitative-phenomenological approach, the study underscores educators’ perspectives on the possibility of using AI, tools that can be used to teach Mathematics, the challenges of incorporating AI, and its implications in the field. In line with these objectives, the study aims to emphasize the rise of technology – especially AI – which could lead to a major shift in mathematics education redefining how math is taught and learned in classrooms.

Keywords: Mathematics Education, Artificial Intelligence, Educators Perspectives.

The rapid advancement of digital technologies has significantly transformed healthcare systems worldwide, particularly in response to increasing demands for accessible, efficient, and high-quality care. In the Philippines, the integration of digital healthcare solutions such as telemedicine and electronic medical records has accelerated, especially during the COVID-19 pandemic. Nurses, as primary healthcare providers, play a crucial role in adopting and utilizing these technologies. However, their level of acceptance and the barriers they encounter remain critical factors influencing the successful implementation of digital healthcare systems. This study aimed to determine the level of acceptance of nurses toward the digitalization of healthcare management in a tertiary private hospital in Manila. The study utilized a descriptive quantitative research design conducted in a tertiary private hospital in Manila, Philippines. The respondents were registered nurses selected through simple random sampling. Data were collected using a structured and validated questionnaire administered through an online survey platform. The instrument measured the nurses’ profile, level of acceptance of digital healthcare in terms of patient-nurse communication, health provider performance, health assessment, and health delivery, as well as perceived barriers in terms of service, experience, data, and information. Data were analyzed using frequency, percentage, mean, standard deviation, t-test, ANOVA, and correlation analysis at a 0.05 level of significance. The findings revealed that nurses exhibited a high level of acceptance of digital healthcare systems across all dimensions, particularly in enhancing communication, improving healthcare performance, and facilitating efficient service delivery. However, moderate barriers were identified, including issues related to system reliability, user experience, data management, and information flow. Statistical analysis showed no significant difference in both acceptance and perceived barriers when respondents were grouped according to demographic variables. However, a significant relationship was found between the level of acceptance and perceived barriers, indicating that existing challenges influence the extent of digital healthcare utilization. The study concludes that nurses are generally receptive to the digitalization of healthcare and recognize its benefits in improving patient care and healthcare delivery. Nevertheless, the presence of operational and technological barriers highlights the need for continuous system enhancement, training, and institutional support. Addressing these challenges is essential to strengthen nurses’ acceptance and maximize the effectiveness of digital healthcare systems. The successful integration of digital technologies in healthcare depends on both technological readiness and the capacity of healthcare professionals to adapt to ongoing innovations.

Keywords: Digitalization in Healthcare, Nurse Acceptance, Telemedicine, Healthcare Technology, Barriers to Digital Health, Philippines Healthcare System.

Introduction: Artificial Intelligence (AI) tools are increasingly integrated into educational contexts, transforming how students engage with language. These tools, including AI writing assistants and chatbots, influence grammar, vocabulary, sentence construction, and coherence in student outputs. While AI can support learning and writing efficiency, concerns exist regarding overreliance, diminished cognitive engagement, and reduced originality. This study investigates how AI affects language use, communication competence, and cognitive engagement among learners.

Methods: A mixed-methods descriptive research design was employed. Participants included 120 senior high school and college students and 20 language teachers. Data were collected using a Language Use Survey measuring frequency and purpose of AI use, writing sample analysis comparing AI-assisted and independent essays, and teacher interviews exploring perceptions of AI’s impact on learning. Quantitative data were analyzed using paired t-tests and descriptive statistics, while qualitative responses were coded thematically.

Results: Findings indicated that 82% of students regularly used AI for grammar correction, paraphrasing, and idea generation. AI-assisted essays exhibited significantly fewer grammatical errors, higher vocabulary diversity, and greater sentence complexity (p < 0.01) compared to independent essays. Teachers observed improvements in structural accuracy and coherence but noted reduced originality and overreliance on AI for cognitive processing. Interviews revealed a growing need for AI literacy and guided reflection in classroom practice.

Keywords: Artificial Intelligence, Language Use, Communication Competence, Writing Proficiency, Cognitive Engagement.

Background: Integration of artificial intelligence (AI) in mental health nursing is accelerating, offering opportunities for improving clinical efficiency, diagnostic precision, and care coordination. However, this technological transformation raises concerns regarding the preservation of human empathy and the nurse‑patient therapeutic relationship.

Aim: This research investigates how human-AI collaboration can be optimized in mental health nursing such that it enhances clinical workflows without compromising empathic care.

Methods: We conducted a narrative literature synthesis drawing on recent studies examining AI applications in mental health nursing, nurse perceptions of AI, and empirical evaluations of empathy outcomes in AI‑augmented care contexts.

Results: Findings indicate that AI systems can support clinical decision‑making, risk assessment, and monitoring while freeing nurses’ time for deeper interpersonal engagement. Conversely, AI’s limitations in authentic empathy and concerns about depersonalization, ethical considerations, and bias must be systematically addressed.

Conclusion: Effective incorporation of AI in mental health nursing requires a hybrid human-AI model. This model preserves empathic engagement by nurses while leveraging automated tools for routine or cognitively demanding tasks. Education, ethical frameworks, and co‑design practices between clinicians and developers are crucial.

Keywords: Human-AI Collaboration; Mental Health Nursing; Empathy; Automation; Therapeutic Relationship; Ethical AI.