MARC

LEADER 00000nab a2200000uu 4500
001 3211843497
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022 |a 1548-1093 
022 |a 1548-1107 
024 7 |a 10.4018/IJWLTT.377799  |2 doi 
035 |a 3211843497 
045 2 |b d20250101  |b d20251231 
100 1 |a Li, Haoqiong  |u Henan Women's Vocational College, China 
245 1 |a Design and Research of Intelligent Educational Quality Improvement System in Vocational College Based on Swin Transformer and Simulated Annealing Algorithm 
260 |b IGI Global  |c 2025 
513 |a Journal Article 
520 3 |a 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. 
653 |a Teaching 
653 |a Quality management 
653 |a Students 
653 |a Algorithms 
653 |a College students 
653 |a Optimization 
653 |a Research design 
653 |a Teachers 
653 |a Data quality 
653 |a Access control 
653 |a Colleges & universities 
653 |a Data integrity 
653 |a Resource allocation 
653 |a Data processing 
653 |a Education 
653 |a Quality improvement 
653 |a Vocational education 
653 |a Real time 
653 |a Simulated annealing 
653 |a Educational systems 
653 |a Learning 
653 |a Personal information 
653 |a Machine translation 
653 |a Privacy 
653 |a Intelligence 
653 |a Quality assessment 
653 |a Educational research 
653 |a Artificial intelligence 
653 |a Design 
653 |a Natural language processing 
653 |a Satisfaction 
653 |a Instructional Improvement 
653 |a Sustainable Development 
653 |a Teacher Effectiveness 
653 |a World Problems 
653 |a Social Development 
653 |a Teacher Promotion 
653 |a Simulation 
653 |a Language Processing 
653 |a Attention 
653 |a Educational Quality 
653 |a Chinese 
653 |a Translation 
653 |a Educational Resources 
653 |a Influence of Technology 
653 |a Educational Technology 
653 |a Periodicals 
653 |a Career and Technical Education 
653 |a Educational Administration 
653 |a College Science 
773 0 |t International Journal of Web-Based Learning and Teaching Technologies  |g vol. 20, no. 1 (2025), p. 1-25 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3211843497/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3211843497/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch