A Study on the Impact of Blended Teaching Modes on Student Engagement Based on SPSS Statistical Analysis

This research work studies the impact of blended teaching modes on student engagement in the horticulture course. This work intends to address the challenges of low participation, lack of interaction, and monotonous teaching methods in vocational education. This work aims to improve student engagement and knowledge using a three-phase mode such as pre-class exploration, in-class guidance, and post-class expansion. This work performs an empirical analysis by comparing student engagement levels before and after the implementation of the blended teaching model. The pre- and post-test data were collected, and the statistical analysis is performed using SPSS. The outcome of the results indicates the significant improvements in pre-class, in-class engagement (p < 0.01), and the overall involvement. Though, post-class engagement showed limited enhancement. This recommends the necessity for additional refinement of the post-class development step. Through the correlation analysis, the improvement in the performance of the students were demonstrated. Regression analysis comparison illustrates that decision tree regression outperforms well in terms of Root Mean Squared Error (RMSE), and the R2 values.