Research on Information Extraction and Visualization Methods for Blended Learning Data

With the promotion of the OBE concept, blended learning has become an important teaching method for cultivating students' autonomous learning ability. In the process of implementing blended learning, a large amount of educational data has been accumulated. These data contain a wealth of useful information that can enhance the effectiveness of blended learning. This paper will explore how to construct evaluation indicators for optimizing blended learning, and information extraction and visualization methods that support evaluation indicators. The purpose is to enable teachers and students to teach and learn in a targeted manner that can improve teachers' teaching literacy and cultivate students' autonomous learning ability. It will promote the development of blended teaching.