Pengembangan Capital Market Mystery Box Berbasis Game di Era Artificial Intelligence untuk Mendukung SDG 4 di SMAN 1 Singosari

Avrielya Vondra Rini Sianipar, Jonathan Setia Theogracia Sinuhaji, Ana Dhaoud Daroin

Abstract


The rapid advancement of Artificial Intelligence (AI) has fundamentally transformed educational paradigms, necessitating learning innovations that cultivate higher-order competencies beyond mere memorization. This study aims to develop and examine the effectiveness of the Capital Market Mystery Box, a game-based learning medium integrated with AI elements, in enhancing student motivation and conceptual understanding of capital market material in the context of Sustainable Development Goal 4 (SDG 4). This research employed a Research and Development (R&D) approach using the ADDIE model (Analysis, Design, Development, Implementation, Evaluation) with a mixed-methods design. The subjects consisted of 66 students from classes X-J and X-L at SMAN 1 Singosari, selected through total sampling. Data were collected via validated questionnaires and achievement tests, and analyzed using descriptive statistics with percentage-based eligibility criteria. Instrument validity was confirmed through Corrected Item-Total Correlation (r > 0.244), while reliability was established with a Cronbach's Alpha coefficient of 0.880. The results demonstrated that all three measured variables achieved ratings in the "Good" category: student response toward the medium (82.9%), learning motivation (82.4%), and conceptual understanding of capital market material (79.0%). These findings confirm that the Capital Market Mystery Box constitutes a valid, practical, and effective learning medium, capable of transforming abstract capital market concepts into engaging, collaborative, and analytically stimulating learning experiences. This innovation contributes meaningfully to the attainment of SDG 4 by promoting student-centered, inclusive, and quality education in the AI era.

Keywords: Capital Market Mystery Box, Game-Based Learning, Artificial Intelligence, SDG 4, Learning Motivation, Capital Market Literacy

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