Adaptive gamified systems represent an emerging convergence of game mechanics, artificial intelligence, and personalized pedagogy in second language vocabulary instruction. Unlike static gamified platforms that apply uniform game elements to all learners, adaptive gamified systems dynamically adjust task difficulty, content selection, feedback intensity, and reward structures in response to individual learner data. This article examines the theoretical underpinnings, architectural components, and empirical evidence for adaptive gamified systems in lexical practice, drawing on a systematic review of research published between 2012 and 2024. The findings indicate that adaptive systems – particularly those integrating spaced repetition algorithms, learner modeling, and game mechanics – produce significantly stronger vocabulary retention outcomes than non-adaptive gamified environments. The article also identifies critical design principles for effective adaptive gamified vocabulary tools and discusses implications for EFL/ESL curriculum implementation, with attention to resource-constrained educational contexts such as Uzbekistan.
Adaptive Gamified Systems for Personalized Lexical Practice
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