Research Article
Judging the Trend of Curriculum Development Based on Correlation Analysis Algorithm
@INPROCEEDINGS{10.4108/eai.2-12-2022.2328068, author={Jianhua Zhang and Yuxiong Chen}, title={Judging the Trend of Curriculum Development Based on Correlation Analysis Algorithm}, proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China}, publisher={EAI}, proceedings_a={ICICA}, year={2023}, month={3}, keywords={correlation analysis and algorithms; statistical inference and prediction; application of ibm spss; the development trend of emerging engineering education curriculum}, doi={10.4108/eai.2-12-2022.2328068} }- Jianhua Zhang
Yuxiong Chen
Year: 2023
Judging the Trend of Curriculum Development Based on Correlation Analysis Algorithm
ICICA
EAI
DOI: 10.4108/eai.2-12-2022.2328068
Abstract
Emerging Engineering Education began in 2017. With the positive response of education departments and universities, the construction of Emerging Engineering Education courses is making progress. Facing the courses with different research directions, how to find out the internal relations and correlation characteristics between them with scientific algorithms is the necessary premise for universities to open multiple Emerging Engineering Education courses. We collected the data of big data and AI related professional courses offered by domestic colleges and universities in the past five years, and used these data as samples for statistical analysis and calculation. With the famous data statistical analysis software IBM SPSS as a tool, we used the results obtained from the correlation analysis algorithm as the basis for inferences made a scientific analysis of their correlation and made a judgment on their development trend. These results obtained by this inference algorithm are detailed and reliable, and have certain value in popularization and application.
