JCERJournal of Contemporary Educational Research2208-84662208-8474Bio-Byword Scientific Publishing Pty. Ltd.10.26689/jcer.v9i5.10480ArticleThe Impact of an AI-Empowered Blended Teaching Model on Chinese EFL Students: A Case Study of Superstar Learning Platformhttps://artdesignp.com/journal/JCER/9/5/10.26689/jcer.v9i5.10480YiYing2025952025-05-28While artificial intelligence (AI) shows promise in education, its real-world effectiveness in specific settings like blended English as a Foreign Language (EFL) learning needs closer examination. This study investigated the impact of a blended teaching model incorporating AI tools on the Superstar Learning Platform for Chinese university EFL students. Using a mixed-methods approach, 60 first-year students were randomized into an experimental group (using the AI-enhanced model) and a control group (traditional instruction) for 16 weeks. Data included test scores, learning behaviors (duration, task completion), satisfaction surveys, and interviews. Results showed the experimental group significantly outperformed the control group on post-tests and achieved larger learning gains. These students also demonstrated greater engagement through longer study times and higher task completion rates, and reported significantly higher satisfaction. Interviews confirmed these findings, with students attributing benefits to the model’s personalized guidance, structured content presentation (knowledge graphs), immediate responses, flexibility, and varied interaction methods. However, limitations were noted, including areas where the platform’s AI could be improved (e.g., for assessing speaking/translation) and ongoing challenges with student self-discipline. The study concludes that this AI-enhanced blended model significantly improved student performance, engagement, and satisfaction in this EFL context. The findings offer practical insights for educators and platform developers, suggesting AI integration holds significant potential while highlighting areas for refinement.

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