Digital Technology Base Assessment In Higher Physical Education Learning
Keywords:
bia analysis, body composition, digital assesment, sport educationAbstract
This study aims to analyze the body composition profiles of university students using digital technology and examine its implications for physical education assessment. In the context of digital transformation in higher education, conventional assessment methods based on body mass index (BMI) are considered insufficient to comprehensively reflect students' physical fitness. This study used a descriptive cross-sectional design involving 90 university students enrolled in a compulsory physical education course. Data were collected using a multi-frequency Bioelectrical Impedance Analysis (BIA) device to measure body composition parameters, including weight, height, skeletal muscle mass, body fat mass, BMI, and body fat percentage. Additional data were obtained through a digital platform for self-reporting and verification. Descriptive statistical analysis was performed using IBM SPSS. The results showed that the average BMI of participants was within the normal category (22.33 ± 4.60 kg/m²), while body fat percentage (22.57 ± 8.11%) and skeletal muscle mass (26.60 ± 5.17 kg) showed considerable variation. These findings indicate that BMI alone is insufficient to accurately describe students' physical condition, particularly in identifying body composition imbalances. Therefore, the integration of BMI-based digital technology into physical education assessments provides a more objective and comprehensive evaluation of students' physical fitness.
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