Analysis of Student Classroom Emotional Tendency Based on Random Forest Model

The humanistic theory focuses on students' subjective experiences, emotions, and needs. Educators should prioritize students' emotional tendencies and create a positive learning environment. This study employs random forest models to analyze the Guangdong dataset and overcomes traditional research limitations. The SHAP framework visualizes the importance of each factor. Finally, the study found that students' positive emotions were significantly influenced by the student participation index, the number of positive teacher utterances, the average length of student speech, the negative atmosphere in the classroom created by the teacher, and the teacher's emotional expression. Similarly, negative emotions were largely influenced by the student participation index, the number of positive teacher utterances, the total duration of teacher speech, the average duration of student speech, and the teacher's language comprehension in the classroom. Based on these results, relevant suggestions have been provided.