Research on the Effect of Blended Learning Mode Based on Text Data Analysis

Abstract

Blended Learning mode is developing towards more and more scientific direction under the promotion of information technology. Aiming at freshmen's learning situation, this study designs a Blended Learning mode with four communication patterns and effective teaching cycle as the main ideas. It mainly uses data mining technology to analyze the communication records of online group, and it is concluded that the students in the pilot class in the Blended Learning mode have a better learning initiative. It also proved the feasibility of text data analysis method in teaching research. Through the comparison of homework grade and final examination results with the control classes, the advantages of Blended Learning mode are further demonstrated.