Application Research of Stem Education in Big Data + Math Core Literacy Cultivation

Abstract

To study the STEM education of college students in the big data environment, to guide the college students to improve the core literacy of mathematics, and then to improve the core literacy of college students. Using the big data gain to analyze the correlation between the influencing factors and the frequency of STEM education, build sensitive Influencing factors model, and further using Big Data + Math Core Literacy Cultivation (BDMCLCM) to establish a big data + math core literacy training model. The 10 influencing factors most relevant to the occurrence of STEM education are distributed in the breeding object, encounter big data, big data environment The core literacy of mathematics is 4 dimensions; the accuracy of model classification prediction is 82.96%, which indicates that BDMCLCM has a good effect on predicting the frequency of STEM education.