Application of Generative Artificial Intelligence Technology in Experimental Teaching——A Case Study of Data Science Experiments
This article designs and develops a data science experimental framework based on generative artificial intelligence(GAI)technology.According to the experimental steps of data science related courses,generative artificial intelligence is integrated into experimental preparation,exploratory data analysis and model construction.Taking the UCI machine learning library public dataset of white wine as an example,the experiment uses the generative artificial intelligence model GPT-4 to classify and optimize the quality of white wine.The overall accuracy of the experimental results reaches 95.5%.The experiment shows that the experimental framework based on generative artificial intelligence technology can reduce the learning threshold for experimenters,improve students'practical ability to use big data analysis and solve real-world problems,and enhance the effectiveness of data science experimental teaching while ensuring experimental accuracy.
data sciencegenerative artificial intelligenceexperimental teachinghuman-machine co-teaching
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