Research on the impact of AI on college students based on the entropy weight integrated scoring model
DOI:
https://doi.org/10.54097/hset.v57i.10006Keywords:
Independent heat coding; Outlier analysis; Gradual regression; Correlation; Entropy weight comprehensive score.Abstract
In recent years, artificial intelligence technology is developing continuously, which has had a wide impact on the study of college students. This paper uses scale, independent heat coding and other methods to quantify the questionnaire data, screen the evaluation index system by establishing gradual regression model, correlation model and comprehensive evaluation model of entropy right, and quantify the influence of artificial intelligence on college students' learning. First of all, the raw data was statistically analyzed and visualized. The analysis showed that 93.2% of college students hoped to actively use artificial intelligence tools to improve their academic performance. Then, the influence of artificial intelligence on the learning of college students was studied, and the evaluation index system was determined through the Pearson correlation model and the stepwise regression model. Finally, the effect of AI on undergraduate learning is studied through the entropy weight integrated scoring model.
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