Integrating Local Wisdom into Outcome-Based Physical Education through a Digital Learning Platform: A Research and Development Study
- DOI
- 10.2991/978-2-38476-591-1_27How to use a DOI?
- Keywords
- Outcome-Based Education; Local Wisdom; Digital Learning; Physical Education; LMS; Cultural Pedagogy
- Abstract
This study aims to operationalize Outcome-Based Education (OBE) through the integration of North Sumatra’s local wisdom into a digital learning platform, thereby strengthening culturally responsive pedagogy within physical education. The initiative is designed as a comprehensive curriculum framework applicable across study programs in the Faculty of Sport Science, including Physical Education, Health and Recreation, Sport Science, and Coaching Science. By embedding indigenous knowledge into structured digital learning, the study addresses the growing demand for contextualized and technology-enhanced education in higher institutions [1], [2]. The research adopts a Research and Development (R&D) approach based on the Borg and Gall model, encompassing ten systematic stages: needs analysis, planning, prototype development, preliminary testing, product revision, main field testing, operational refinement, large-scale implementation, final revision, and dissemination. The digital platform was developed using a WordPress-based Learning Management System (LMS) integrated with the LearnPress plugin and deployed on an institutional subdomain, ensuring accessibility and scalability. Empirical findings demonstrate high user engagement and system effectiveness. Google Analytics data indicate that 97% of students successfully accessed the platform, with an average session duration of 16 minutes, reflecting sustained interaction. User satisfaction analysis reveals that 92.2% of participants perceived the platform as user-friendly, while 88.7% reported minimal technical barriers, primarily limited to network-related constraints during video uploads. Learning analytics further show that 83% of students completed all assessment components, achieving a mean score of 86.3, and 75% actively participated in asynchronous discussions. The platform incorporates multimodal instructional features, including interactive PDF modules, culturally embedded video demonstrations of traditional games such as marsialapari, dau naso, and dungdung rang-rang, formative quizzes across six thematic units, and weekly discussion forums. These features contribute to improved cognitive engagement, cultural awareness, and collaborative learning, aligning with contemporary digital pedagogy frameworks [3], [4]. The study highlights the pedagogical value of integrating local cultural assets into digital learning ecosystems, reinforcing both learning outcomes and cultural identity. This approach provides a scalable model for curriculum innovation in sport science education, particularly in developing countries seeking to balance global educational standards with local relevance.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - M. Irfan AU - Ardi Nusri AU - Agustin Sastrawan Harahap AU - Indra Darma Sitepu AU - Khairul Usman AU - Suharjo Suharjo PY - 2026 DA - 2026/06/24 TI - Integrating Local Wisdom into Outcome-Based Physical Education through a Digital Learning Platform: A Research and Development Study BT - Proceedings of the 2nd International Conference of Sport Science, Sport Coaching Science, and Physical Education, and Recreation 2025 (ICOSSCOPER 2025) PB - Atlantis Press SP - 279 EP - 290 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-591-1_27 DO - 10.2991/978-2-38476-591-1_27 ID - Irfan2026 ER -