Author
Listed:
- Muhammad Nur Aizuddin Abdul Rahman
(Sultan Idris Education University, Malaysia)
- Abd Rahim Mohd Shariff
(Sultan Idris Education University, Malaysia)
- Hazuan Mohd Hizan
(Sultan Idris Education University, Malaysia)
Abstract
This study focuses on the design of a tennis readiness module for children, especially primary school students, uniquely adapted from the principles of street tennis. Employing a dynamic mixed-methods approach, the research seamlessly integrates expert insights through Focus Group Discussions (FGD) and the Fuzzy Delphi Method (FDM) to meticulously refine the module’s components. During the FGDs, three handpicked experts rigorously scrutinized the proposed elements, providing critical feedback to enhance their practical application in real-world teaching. Further validation was pursued through the FDM, which involved the participation of 20 certified tennis coaches by International Tennis Federation (ITF), five tennis coaches from abroad, and two university lecturers in the field of sport coaching. These coaches evaluated the proposed components, with their qualitative assessments transformed into quantifiable data using Triangular Fuzzy Numbers (TFN), ensuring precision in capturing expert consensus. The data show that all proposed elements are surpassing the required agreement threshold, confirming their validity for inclusion in the module. As a result, two core components and six detailed elements were unanimously approved, underscoring the module’s robustness and potential to significantly impact tennis education at the primary level. This innovative process not only highlights the importance of expert-driven validation but also paves the way for future educational interventions grounded in empirical rigor and practical relevance.
Suggested Citation
Muhammad Nur Aizuddin Abdul Rahman & Abd Rahim Mohd Shariff & Hazuan Mohd Hizan, 2024.
"Developing A Street Tennis Module for Tennis Education Expert-Validated Design,"
International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(12), pages 1372-1385, December.
Handle:
RePEc:bcp:journl:v:8:y:2024:i:12:p:1372-1385
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