Development and validation of a deep learning-based physical education e-module for fundamental movement skills

Lahmuddin Lahmuddin; Rika Sepriani; Asep Sujana Wahyuri; Padli Padli; Ardo Okilanda

doi:10.32698/03572

Development and validation of a deep learning-based physical education e-module for fundamental movement skills

Lahmuddin Lahmuddin⁽¹⁾, Rika Sepriani⁽²⁾, Asep Sujana Wahyuri⁽³⁾, Padli Padli⁽⁴⁾, Ardo Okilanda⁽⁵⁾,
(1) Universitas Negeri Padang

Indonesia
(2) Universitas Negeri Padang

Indonesia
(3) Universitas Negeri Padang

Indonesia
(4) Universitas Negeri Padang

Indonesia
(5) Universitas Negeri Padang

Indonesia

Corresponding Author

DOI : https://doi.org/10.32698/03572

Full Text:

Language : en

Abstract

Purpose: This study aimed to develop and determine the feasibility and practicality of a Deep Learning-based Physical Education e-module for teaching fundamental movement skills to Grade IV elementary-school students. Method: A Research and Development approach using the ADDIE model was employed. Data were collected through needs analysis, expert validation, and practicality questionnaires and analyzed using descriptive statistics, Aiken’s V, item validity, and Cronbach’s alpha. Results: Expert validation demonstrated good content (84%; V = 0.795) and media feasibility (83%; V = 0.783) and very good language feasibility (97%; V = 0.958). The practicality instruments showed high reliability (α = 0.862–0.876), while teacher/practitioner assessment indicated very high practicality (92.50%). Conclusion: The developed e-module was feasible, reliable, and highly practical for supporting fundamental movement instruction through mindful, meaningful, and joyful learning in elementary Physical Education

Keywords

Deep Learning; E-Module; Fundamental Movement Skills; Physical Education

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