Development of Learning Agent for Data Structures on Smart Education Platform

With the rapid development of artificial intelligence technology, intelligent education has become a crucial direction for educational informatization. This study develops an intelligent learning agent system for the Data Structures course based on iFLYTEK's Spark Code Platform. The system integrates large language models, knowledge graphs, and personalized recommendation algorithms to provide comprehensive learning support, including intelligent Q&A, code tutoring, and learning path planning. Using a quasi-experimental design, we conducted a semester-long teaching experiment comparing the effectiveness of intelligent agent-assisted learning versus traditional learning modes. Results demonstrate that students in the experimental group using the learning agent significantly outperformed the control group in course grades (12.3% improvement), learning efficiency (27.5% reduction in homework completion time), and satisfaction ratings (18.7% increase). This study provides a practical paradigm for deep integration of intelligent education platforms with professional courses and offers valuable insights for promoting digital transformation in higher education.