Evaluation and reform measures of online high-quality courses in the e-commerce major group of universities under the background of digitalization
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
万方数据
维普
