Dhohirrobbi, Achmad and Pusposari, Luthfiya Fathi
ORCID: https://orcid.org/0000-0003-4456-955X
(2025)
Gen-Smart digital media: An ADDIE-based development to improve learning motivation in social studies.
Sosioedukasi : Jurnal Ilmiah Ilmu Pendidikan dan Sosial, 14 (4).
pp. 4017-4032.
ISSN 2541-612X & 2086-6135
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Abstract
This study develops and evaluates the feasibility and effectiveness of the Gen-Smart digital learning media in enhancing learning motivation among lower secondary Social Studies students. The research adopts a Research and Development (R&D) approach utilizing the ADDIE framework, consisting of analysis, design, development, implementation, and evaluation stages. Gen-Smart was designed using Canva AI, Google Sites, and Website2APK Builder Pro to ensure multi-platform access. Feasibility was evaluated through expert validation and student practicality surveys, while effectiveness was measured using pre-test and post-test scores analyzed with normalized gain (N-Gain). The results indicate a high feasibility level, with validation scores of 92% from the material expert and 89% from the media expert. Student practicality responses reached 83%, categorized as "very practical." The effectiveness analysis demonstrates a significant increase in learning motivation from a mean score of 40.17 (67%) to 53.87 (90%), with an N-gain value of 0.70 (high category). These findings indicate that Gen-Smart is a feasible and effective digital learning media for improving motivation in Social Studies learning and is recommended for wider instructional implementation.
| Item Type: | Journal Article |
|---|---|
| Keywords: | Gen-Smart learning media; digital instructional design; ADDIE model; learning motivation; social studies education; educational technology |
| Subjects: | 13 EDUCATION > 1302 Curriculum and Pedagogy > 130202 Curriculum and Pedagogy Theory and Development |
| Divisions: | Faculty of Tarbiyah and Teaching Training > Department of Social Science Education |
| Depositing User: | Luthfiya Fathi Pusposari |
| Date Deposited: | 31 Dec 2025 14:29 |
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