Xuxin Wang1 and Fangrui Guo2, 1USA, 2California State Polytechnic University, USA
This research addresses the challenge of providing an engaging and effective Latin language learning experience by leveraging advanced AI technologies [1]. The proposed solution involves developing an educational app that integrates the GPT-4o Mini model for personalized learning, combining language instruction with cultural insights [2]. Key components include a Flask-based backend, AI-driven content generation, and interactive games designed to enhance user engagement [3]. Challenges such as balancing AI performance with response time were tackled by selecting GPT-4o Mini for its optimal mix of speed and accuracy. Experiments confirmed the model's effectiveness across various benchmarks, demonstrating its superior performance and cost-efficiency. The app offers a comprehensive and immersive learning experience, making it a valuable tool for modern learners interested in classical studies [4]. This approach not only improves traditional methods but also sets a new standard for language education by integrating advanced AI and interactive elements.
Literature Education, Nature Language Processing, Large Language Model, Machine Learning
