Research and Practice of Smart Teaching Model Driven by Big Data

The current research on intelligent teaching and precise teaching faces some challenges, and the continuous development of big data technology provides new opportunities to solve these problems. In the construction of big data-driven intelligent teaching mode, data analysis is combined with information technology teaching to achieve multi-level data collection and analysis, access to learning data, and combined with curriculum knowledge mapping, personalized teaching guidance and learning path planning to help students achieve independent learning goals; through "tailored" can be in the course of early warning. Effective implementation. Through "tailor-made", we can effectively implement intelligent education measures such as curriculum early warning and improve teaching accuracy, so as to achieve the goal of intelligent teaching. Use educational big data to guide teaching practice and implement a blended teaching model. The implementation results show that the model effectively improves the quality of teaching and has good potential for replication and scale-up.