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应用机器学习和SHAP方法来识别对中学学生数学素养表现的关键影响

Ying Huang1, Ying Zhou1, Jihe Chen2

  • 1School of Mathematics and Statistics, Guangxi Normal University, Guilin 541006, China.

Journal of Intelligence
|October 25, 2024
PubMed
概括

在PISA 2022中,学生的数学成绩在全球范围内下降. 机器学习确定了数学自我效率作为影响中学学生数学素养的关键因素,并指出了个性化的因素.

关键词:
在PISA 2022中,我们将进行两次测试.根据SHAP方法,我们可以关键影响因素 关键影响因素机器学习是机器学习.数学素养数学素养的提高

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