Research on Teaching Process Management and Quality Monitoring System for Higher Education
Zheng Liu, Gao Shanshan, Shaojing Yuan
Abstract
Zheng Liu, Gao Shanshan, Shaojing Yuan
Abstract
As is well known that teaching process management and quality monitoring significantly affect the teaching quality of higher education. Therefore, in this paper, we aim to analyze the importance of teaching process management and teaching quality monitoring in advance, and then we design and develop an effective teaching management system for teaching practice. Particularly, the intelligent information processing and mining technology are exploited as the main methods in the proposed system. Furthermore, the proposed system can greatly adapt to specific requirements of teaching process in colleges and universities. By analyzing and mining the data produced by the proposed system, we can find out the teaching rules and the bottleneck that affects the further improvement of teaching quality. In the proposed system, the teaching process management is defined to contain three aspects: 1) managing teachers' teaching, 2) managing students' learning, and 3) visualizing the data in the whole teaching process. We have used the proposed teaching mode for one year, and the reflection of students for the proposed new teaching pattern as listed as follows: 1) it can significantly improve the teaching quality, 2) students' learning process can be effectively monitored, and 3) the proposed system can accurately find the problems in the teaching process. In summary, the conclusions are drawn that the proposed system is of great significance to improve both the teaching quality and the teaching management level.
OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
As is well known that teaching process management and quality monitoring significantly affect the teaching quality of higher education. Therefore, in this paper, we aim to analyze the importance of teaching process management and teaching quality monitoring in advance, and then we design and develop an effective teaching management system for teaching practice. Particularly, the intelligent information processing and mining technology are exploited as the main methods in the proposed system. Furthermore, the proposed system can greatly adapt to specific requirements of teaching process in colleges and universities. By analyzing and mining the data produced by the proposed system, we can find out the teaching rules and the bottleneck that affects the further improvement of teaching quality. In the proposed system, the teaching process management is defined to contain three aspects: 1) managing teachers' teaching, 2) managing students' learning, and 3) visualizing the data in the whole teaching process. We have used the proposed teaching mode for one year, and the reflection of students for the proposed new teaching pattern as listed as follows: 1) it can significantly improve the teaching quality, 2) students' learning process can be effectively monitored, and 3) the proposed system can accurately find the problems in the teaching process. In summary, the conclusions are drawn that the proposed system is of great significance to improve both the teaching quality and the teaching management level.
Key concepts: Bottleneck, Process (computing), Computer science, Quality (philosophy), Teaching and learning center, Management system, Teaching method, Reflection (computer programming)