Analysis of Blended Learning Model Application Using Text Mining Method

The rapid development of networks has resulted in the recognition blended learning as an effective model. text mining method was used to analyze practice data 17 countries provided by Christensen Institute. By classifying and extracting information from use model selection challenges learning, factors that hinder implementation were analyzed. distribution courses models each country discussed, influence relationship between region results demonstrate primary secondary schools is mature four English, Mathematics, Science, Social Research. can be unaffected region, but more tend “mix.” cycle becomes long requires long-term stable support, while teachers’ ability students’ preparation are largest obstacles effectual learning. This study provides references for improving efficiency practices, especially aspects selection, infrastructure preparation, teacher student training.