Practical Research on Intelligent Evaluation of Generative Learning Resource Quality

This study is based on the intelligent evaluation method of large language model, aiming at the evaluation problem of generative learning resources. An empirical study is conducted on the effect of intelligent evaluation on improving the quality of generative learning resources among 31 postgraduate subjects. Specifically, this study set up a control group evaluated by experts and an experimental group involved in intelligent evaluation, and obtained data of generative learning resources created within eight weeks for analysis and comparison. The results showed that intelligent evaluation can achieve a comparable level with expert evaluation in evaluating resources and continuously improving resource quality. This study suggests that by using intelligent evaluation systems, we can quickly and accurately evaluate a large number of learning resources and provide evidence for their improvement.