Heuristic Teaching Mode based on Large Language Model Improves the Programming Teaching in Big Data Course

With the increasing importance of programming education, students face many challenges in the procedure of learning programming. However, the traditional programming teaching mode has gradually exposed problems such as low teaching efficiency and insufficient pertinence when facing complex programming knowledge and diverse student needs. In order to better meet the learning needs of students and improve the efficiency of programming teaching, this project aims to build a heuristic teaching mode through the innovative application of large language model (LLM) technology and in combination with iFly Spark Code Chat. In the aspects such as LLM Q&A, code error correction, code comparison, and intelligent programming tutoring, it helps students learn programming more efficiently and cultivates students' problem-solving abilities, thereby improving the programming teaching of big data module.