Exploration of Blended Teaching Reform in Statistics Courses in Universities in the Era of Big Data—Taking Xinjiang University of Science and Technology as an Example
Statistics is a discipline that analyzes and processes data to discover the inherent laws of data.The quality of the curriculum directly determines the quality of talent cultivation.Through teaching reform practice,in response to the problems that students face in the combination of blended statistics teaching reform and big data learning,an IPA model is constructed through questionnaire research and in-depth interviews to analyze questionnaire data.From the perspectives of teaching content,teaching methods,and educational environment,countermeasures and suggestions are proposed to improve the teaching quality of statistics courses.Teaching reform laws are explored from the aspects of big data integration and case teaching,in order to promote the construction of subject courses and teaching models,and further enhance the teaching quality of statistics courses.
NETL
NSTL
万方数据
