Research on Dynamic Monitoring of Third Language Teaching Quality Based on Big Data

The traditional teaching quality monitoring in colleges and universities has drawbacks such as long data collection time, difficulty in summarizing, feedback lag, one-sided evaluation, lack of systematization and integrity, especially the third language teaching has been hovering in the "gray zone" of monitoring due to its own characteristics. With the concept of "Internet plus" extending in the field of higher education, big data technology can be used to choose the appropriate teaching cloud platform, collect and analyze the data generated in the teaching process comprehensively. It can also be used to recommend personalized learning sources by capturing the click rate, retention time, stay location and learning mood of learners; to set up questionnaires for different evaluation objects, customize diversified indicators of teaching and learning evaluation; to form an efficient feedback and improvement mechanism among students, teachers, supervisors, secondary colleges and teaching management institutions, which can bring a new perspective for college third language teaching, and also provide a new path for teaching quality monitoring.