Research on Learning Effectiveness Evaluation Driven by Artificial Intelligence

Focusing on the application of artificial intelligence in the field of student learning effectiveness evaluation, this article deeply analyzes the limitations of traditional learning effectiveness evaluation and elaborates on the advantages and value of artificial intelligence technology in learning effectiveness evaluation. According to the three-layer structure of data layer, analysis layer, and application layer, an artificial intelligence driven learning effectiveness evaluation system was constructed. The application of Transformer XL behavior analysis kernel in evaluation was emphasized, and a hybrid architecture combining knowledge graph and deep reinforcement learning was proposed. Based on specific application scenarios and practical cases, this paper analyzes and proposes corresponding development strategies to provide theoretical reference and practical guidance for promoting the intelligent development of educational evaluation, and enhance the scientific, accurate, and comprehensive evaluation of student learning outcomes.