AI-supported analysis of Japanese language learningDangubić, Sara (Avtor) Japanese language learninggamificationmotivational theoriesAI-supported analysisThis study examines how gamification elements in Japanese language learning apps and platforms align with motivational theories. Building on established motivational models, it proposes an analytical framework that maps common gamification features (e.g., progress tracking, rewards, and customization) to motivational factors such as competence, achievement, and self-efficacy. The framework is applied to two widely used mobile apps (LingoDeer and Renshuu) and two online platforms (WaniKani and MaruMori). In addition, a large language model is used as an AI-assisted evaluator within the proposed framework to independently assess and rank the selected apps and platforms, with its output compared to the researcher’s analysis as a validation step. The findings suggest that effective motivation depends not on isolated reward mechanisms but on a balanced integration of gamification elements.20262026-10-29 13:31:23Članek v reviji190492sl