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Health Metrics of P.E. Teachers from Direct and Smart Phones App Measurements: Their Relationship with Gender, Age, and Areas Handled Eliza B. Ayo; Anabel G. Lim; Rosalie P. Alejandro; Richard Niel B. Peralta; Raymond L. Peralta; Ma. Christina A. Florentino; Joel H. Cruz; Jean Bernadette C. Parcher
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 6 No. 12 (2025): International Journal of Multidisciplinary: Applied Business and Education Res
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.06.12.06

Abstract

This study investigated the relationship between demographic and professional factors—specifically gender, age, and physical education (P.E.) areas handled—and health and sleep metrics among P.E. teachers. A quantitative cross-sectional design was employed among 374 P.E. teachers. Data were collected using validated instruments, including the Pittsburgh Sleep Quality Index (PSQI) and International Physical Activity Questionnaire (IPAQ), along with direct and smart app health measurements. Statistical analyses included independent t-tests, Pearson correlations, ANOVA, and chi-square tests. The sample comprised 58.8% males with a mean age of 38.9 years. Gender showed minimal relationships with health metrics except for daily steps (females higher, p = 0.05). Age was significantly associated with sleep quality (r = 0.15, p = 0.03), sleep disorder prevalence (χ2 = 10.5, p = 0.03), BMI category (χ2 = 12.3, p = 0.02), and blood pressure (systolic: r = 0.20, p = 0.01; diastolic: r = 0.18, p = 0.02). Most notably, P.E. areas handled showed the strongest associations with health metrics, particularly physical activity levels, daily steps, sleep quality, and BMI categories (all p < 0.05). Professional specialization within P.E. teaching emerged as the most significant predictor of health and sleep outcomes, surpassing demographic factors. These findings inform institution for targeted wellness interventions to revisit and review institutional policies for P.E. educators.
MiniXplorer Technical Performance Evaluation and SDG Alignment Assessment Eliza B. Ayo; Josan D. Tamayo; Teresita S. Mijares; Rosemarivic A. Bustamante; Raymond Peralta
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 6 No. 12 (2025): International Journal of Multidisciplinary: Applied Business and Education Res
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.06.12.09

Abstract

Artificial intelligence (AI) is increasingly being integrated into education, offering new ways to address global learning challenges. This study examines the development and effectiveness of MiniXplorer, a mobile application powered by Google’s Machine Learning Kit (ML Kit) for image recognition and Text-to-Speech (TTS) technology. The project also considers how the app contributes to the United Nations Sustainable Development Goal 4 (Quality Education). The study followed a descriptive-developmental design using a mixed-methods approach. MiniXplorer was tested in different image conditions (e.g., resolution, format, lighting, and noise), underwent automated compatibility checks, and was assessed for security risks. User experiences were evaluated following the ISO/IEC 25010 quality standards, with data collected from surveys, interviews, and observations. MiniXplorer showed strong performance, working best with natural lighting, .jpg formats, and front or side object views (average ratings between 2.50–2.83 on a 3-point scale). It was also capable of handling partial obstructions and more complex image scenarios. Automated testing confirmed smooth compatibility with modern Android operating systems. Users gave positive feedback across all ISO 25010 criteria, with particularly high scores in functional suitability (1.42–2.00), usability (1.49), and reliability (1.75). Two minor security issues were detected but were promptly resolved. MiniXplorer has proven to be an engaging, accessible, and effective educational tool for young learners. Its design and performance support the goals of SDG 4, SDG 9 and SDG 10 by promoting inclusive, equitable, and high-quality education through the use of affordable AI technologies.