In blended English teaching, data can come from multiple sources, such as online learning platforms, classroom interaction systems, student assignments, test scores, and so on. There are structural differences in these data, which lead to too high data fusion polarity, so a data fusion method for blended English teaching based on Kalman filtering is proposed. The hybrid English teaching data features are extracted, and the data fusion is completed by using Kalman filtering to generate the hybrid English teaching data fusion process. The experimental results show that the hybrid English teaching data fusion extreme deviation of the proposed method is low, and it has a better hybrid English teaching data fusion effect.