Artificial Intelligence (AI) and Gamification in Blended Learning: Enhancing Language and Literacy in Shanxi, China
Abstract
This study investigates the implementation and efficacy of blended learning integrating artificial intelligence (AI) and gamification in language and literacy instruction in Shanxi Province, China. Blended learning, combining traditional face-to-face teaching with online education, has been acknowledged for improving educational outcomes. This research evaluates the impact of AI-driven personalized learning paths and gamification features on students’ language acquisition and literacy skills. Using a quasi-experimental design grounded in constructivist, adaptive learning, and gamification theories, the study involves 200 students aged 6–12, equally divided into experimental and control groups. The experimental group receives blended learning enhanced with AI and gamification, while the control group follows traditional teaching methods. Data collection includes surveys and test scores, analyzed through descriptive statistics, correlation, and regression analyses. Results reveal significant improvements in language and literacy outcomes in the experimental group compared to the control group. Students in the experimental group achieved a 25% higher improvement in vocabulary learning and a 30% increase in reading comprehension. AI-driven learning paths boosted engagement by 20%, while gamification elements enhanced motivation by 15%. These findings highlight the potential of AI and gamification to transform blended learning environments. Practical implications suggest incorporating AI for personalized learning and gamification for increasing student motivation. The study concludes with recommendations for integrating these technologies into educational practices and exploring long-term impacts and scalability in future research.
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