نبذة مختصرة : The application of big data visualization in teaching is becoming more and more common. The study introduces this method into tourism education and combines it with “educational data narrative” to jointly construct a visual learning analysis framework based on “educational data narrative”. To determine the purpose of the study and the research object, we set up a controlled teaching experiment for tourism education in colleges and universities and conducted a pre-and post-test to verify the academic levels of the experimental group and the control group. The classroom behaviors of the experimental group before and after the experiment were further observed and counted to investigate the effectiveness of the teaching method in improving teaching interactivity from the perspective of classroom emotional atmosphere, teacher’s influence in the classroom, student interaction, and classroom structure as a whole. Before the experiment, the performance of the experimental group and the control group in the six courses of tourism management majors was similar, with no significant differences. The experiment resulted in significant P-values at the 1% level for both groups on the 6 courses, and the experimental group had a significantly higher academic level than the control group. In terms of emotional climate in the classroom, the experimental group fell in the positive integration grid ratio, which was improved, and the defective grid ratio decreased after the experiment. Teachers had an indirect influence ratio of 32.75% and a direct influence ratio of 8.73%, respectively. The ratio of students’ verbal behavior was 29.26%. The teacher’s speech ratio, student’s speech ratio, silence ratio, and technology ratio were 41.48%, 29.26%, 7.86%, and 21.40%, respectively. Traveling classroom interactivity has obviously improved.
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