Research on the Quality Monitoring System of Hybrid Teaching in Universities under the Background of Big Data
With the rapid development of information technology,the era of big data has arrived,and its impact on the education field is becoming increasingly significant.University is an important link in cultivating talents,and the monitoring and improvement of teaching quality is particularly important.Traditional teaching quality monitoring methods have problems such as incomplete information and poor timeliness,which cannot meet the needs of modern higher education.Therefore,building a hybrid teaching quality monitoring system for universities based on big data is of great significance.On the basis of analyzing the shortcomings of traditional teaching quality monitoring methods,this article actively attempts to construct a hybrid teaching quality monitoring system for universities based on big data,aiming to provide an effective teaching quality monitoring tool for higher education,and promote personalized learning of students and teaching reform of teachers.
big datahybrid learningquality monitoringhigher educationeducation reform
NETL
NSTL
万方数据
