Culturally tailored serious game design model for smart agriculture
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Date
2025
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Publisher
UMT Lahore
Abstract
Computerized learning environments have gained increasing attention in recent years, particularly with the widespread adoption of mobile devices such as smartphones and tablets. This research presents a culturally tailored serious game design model for smart agriculture, aiming to bridge the gap between educational value and cultural relevance. The proposed model integrates sociocultural theory and gamification principles to enhance
learning effectiveness, engagement, and usability within specific regional contexts. The Smart Agriculture Game (SAG), developed based on this model, incorporates cultural elements such as traditional farming practices, local crops, and community customs. The game design process followed systematic stages ranging from low- to high-fidelity prototyping and validation supported by specialized heuristics for evaluating usability in culturally sensitive environments. SAG was evaluated using standard testing procedures, achieving a high usability score of 90% and showing significant improvement in learning outcomes compared to traditional learning groups. By embedding smart agriculture concepts such as IoT, big data, and machine learning within culturally familiar narratives, the game supports knowledge retention and the sustainable adoption of modern farming practices. The design encompasses key dimensions including agri-elements, educational objectives, technology, usability, sustainability, and cultural context. Requirements were identified through stakeholder surveys and literature reviews to guide interface and module development. Overall, this study contributes a novel model for culturally adaptive educational game design, aligned with the goals of precision agriculture and rural technology adoption.