Kesuma, Dadang Warta Candra Wira
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Effectiveness of Integrating Educational Games in Physical Fitness Training to Improve Students Cardiorespiratory Capacity Maulana, Indra; Satrianingsih, Baiq; Yundarwati, Susi; Kesuma, Dadang Warta Candra Wira
ACTIVE: Journal of Physical Education, Sport, Health and Recreation Vol. 14 No. 3 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/active.v14i3.41419

Abstract

Background: Cardiorespiratory capacity (CRF) is crucial for physical and cognitive health in children and adolescents. However, declines in CRF due to sedentary lifestyles highlight the need for effective interventions in school-based physical education (PE) programs. Traditional PE methods often fail to engage students sufficiently. Objective: This systematic literature review (SLR) evaluates the effectiveness of integrating educational games into physical fitness training, comparing it with traditional high-intensity interval training (HIIT) for improving CRF in students. Methods: A systematic search across Scopus, Web of Science, and Google Scholar identified experimental and quasi-experimental studies from the last 10 years. Studies included were those that integrated educational games into fitness programs and measured CRF outcomes. Results: HIIT consistently improved CRF, particularly VO₂ max and aerobic performance. Game-based interventions showed smaller but significant improvements, primarily through enhanced engagement and motivation. Combining game elements with HIIT enhanced both physiological and behavioral outcomes. Conclusion: HIIT and game-based interventions offer complementary benefits for improving CRF. HIIT provides significant physiological gains, while educational games foster long-term participation. A combined approach could optimize both fitness and engagement in PE programs. Further research is needed to refine intervention parameters and assess long-term outcomes.
Pelatihan Pemanfaatan ChatGPT dan Scite.ai untuk Meningkatkan Kualitas Penulisan Artikel Pengabdian Hunaepi, Hunaepi; Sibua, Sulami; Asy’ari, Muhammad; Ikhsan, Muhammad; Kesuma, Dadang Warta Candra Wira; Aminullah, Aminullah; Prayogi, Saiful; Kurnia, Nova; Mirawati, Baiq; Azmi, Irham; Hidayati, Rospin; Afrilyana, Maya
Nuras : Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 1 (2026): January (In Progress)
Publisher : Lembaga Pendidikan, Penelitian, dan Pengabdian Kamandanu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/nuras.v6i1.614

Abstract

This community service activity aims to improve the competence of lecturers at the Faculty of Culture, Management, and Business, Mandalika University of Education, in writing quality community service articles through the use of artificial intelligence technology, specifically ChatGPT and Scite.ai. The method used was an interactive workshop based on direct practice, equipped with a pre-test, delivery of theoretical materials, practice using AI, post-test, and reflection sessions. The analysis results showed a significant increase in post-test scores compared to the pre-test, with the majority of participants' N-gain being in the medium to high category. Participants were also able to produce draft community service articles with good to very good quality categories based on the assessment rubric. The level of participant satisfaction with the materials, methods, and implementation of the workshop was in the high category, indicating the success of the training approach used. This activity also contributed to the achievement of the SDGs, especially the goals of Quality Education (SDG 4), Innovation and Infrastructure (SDG 9), and Partnership (SDG 17). This training can be replicated as a model for increasing lecturer capacity in the context of digital transformation of higher education.