The grey correlation analysis was used to analyze the correlation between students'satisfaction with the courses.The results shows that students'satisfaction with the online quality courses of the e-commerce major group was highly correlated with post-course knowledge answering,diverse teaching methods,diverse post-course assignments,informatization means,and diverse pre-course preview materials,with correlation coefficients of 0.801,0.773,0.771,0.768,and 0.757 respectively.It is recommended to use artificial in-telligence,knowledge graph,big data analysis,and other intelligent means for personalized teaching to a-chieve the visualization of online quality course content.Meanwhile,it is necessary to establish the industry resource database,adjust the teaching content in real time,improve the online high-quality course content,and actively serve the e-commerce industry.Through the above measures we can promote the reform of high-er education curriculum system.
Online Quality CourseE-Commerce Major GroupTeaching ReformDigitalization
维普
万方数据
