Content area
At present, the traditional education quality evaluation system has some problems, such as insufficient data processing ability and poor real-time performance, which is difficult to meet the needs of teaching quality improvement in rapidly developing higher vocational colleges. In order to solve such problems, this paper designs an intelligent education quality improvement system based on Swin Transformer and simulated annealing algorithm. Through the pilot experiment of applying this system in a higher vocational college, it is found that after three months' trial, the overall teaching satisfaction of the college has increased by about 12.8%, the teachers' teaching quality score has increased by 9.4%, and the students' learning efficiency has increased by 8.7% on average. The research shows that the system can provide strong support in improving teaching quality, optimizing the allocation of teaching resources and promoting teachers' teaching improvement, and has good popularization and application value.
Details
Sustainable Development;
Teacher Effectiveness;
World Problems;
Social Development;
Teacher Promotion;
Simulation;
Natural Language Processing;
Privacy;
Artificial Intelligence;
Language Processing;
Attention;
Algorithms;
Resource Allocation;
Educational Quality;
Chinese;
Translation;
Educational Resources;
Influence of Technology;
Educational Technology;
Periodicals;
Career and Technical Education;
Educational Administration;
Data Processing;
College Science
Quality management;
Students;
Algorithms;
College students;
Optimization;
Research design;
Teachers;
Data quality;
Access control;
Colleges & universities;
Data integrity;
Resource allocation;
Data processing;
Education;
Quality improvement;
Vocational education;
Real time;
Simulated annealing;
Educational systems;
Learning;
Personal information;
Machine translation;
Privacy;
Intelligence;
Quality assessment;
Educational research;
Artificial intelligence;
Design;
Natural language processing;
Satisfaction