Transforming physical fitness and exercise behaviors in adolescent health using a life log sharing model

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: April 4, 2025

Introduction This study investigates the potential of a deep learning-based Life Log Sharing Model (LLSM) to enhance adolescent physical fitness and exercise behaviors through personalized public health interventions. Methods We developed hybrid Temporal–Spatial Convolutional Neural Network-Bidirectional Long Short-Term Memory (TS-CNN-BiLSTM) model. model integrates temporal, textual, visual features from multimodal life log data (exercise type, duration, intensity) classify predict activity behaviors. Two datasets, Geo-Life (with location data) Time-Life (without data), were constructed evaluate impact spatial information on classification performance. The utilizes CNNs for local feature extraction BiLSTM networks capture temporal dynamics, maintaining user privacy. Results TS-CNN-BiLSTM achieved an average accuracy 99.6% across eight types, outperforming state-of-the-art methods by 1.9–4.4%. Temporal identified as crucial detecting recurring behavioral trends periodic patterns. Discussion These findings demonstrate efficacy integrating with learning accurate classification. high supports its developing promotion strategies, including tailored interventions, incentives, social support mechanisms, engagement in activities advance education management.

Language: Английский

Integrating digital comics into physical education: a new model for enhancing elementary athletic learning

Edu Sportivo/Edu Sportivo, Journal Year: 2025, Volume and Issue: 6(1), P. 78 - 93

Published: April 23, 2025

Background: By integrating interesting and interactive visualisations, digital comics are expected to help students better understand the concept of athletic techniques increase their interest in participating lessons. This approach provides a solution challenges learning basic athletics, which often considered boring difficult by students. Research Objective: research aims develop as tool physical education improve students’ understanding skills. Through visual media, it is hoped that will be more motivated concepts. Method: uses ADDIE method, includes stages analysis, design, development, implementation, evaluation. The respondents this study class IV at MI Plus Al-Fatimah Bojonegoro, totalling 42 students, consisting 18 boys 24 girls. comic was validated 3 experts 1 media expert, content practitioner. results obtained were then analysed using validity index ratio. Finding/Result: validation have been show an average score 4.45, ratio analysis showed 4.47. shows model developed very appropriate relevant meets quality standards needed student motivation athletics. Conclusion: Digital shown effective students' understanding, participation For future research, recommended application extended other subjects involving larger groups. In addition, further could examine long-term impact on academic achievement motor

Language: Английский