Research Article
Optimization of Instructional Management Strategies in Universities Based on Genetic Algorithms and Transfer Learning
@INPROCEEDINGS{10.4108/eai.24-11-2023.2343584, author={Gang Lei and Duanyang Feng and Wennan Wang and Lili Wang and Ziwen Sun}, title={Optimization of Instructional Management Strategies in Universities Based on Genetic Algorithms and Transfer Learning}, proceedings={Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24--26, 2023, Zhengzhou, China}, publisher={EAI}, proceedings_a={ITEI}, year={2024}, month={4}, keywords={genetic algorithm transfer learning university teaching management optimization strategy}, doi={10.4108/eai.24-11-2023.2343584} }- Gang Lei
Duanyang Feng
Wennan Wang
Lili Wang
Ziwen Sun
Year: 2024
Optimization of Instructional Management Strategies in Universities Based on Genetic Algorithms and Transfer Learning
ITEI
EAI
DOI: 10.4108/eai.24-11-2023.2343584
Abstract
With the continuous development in the field of education, the optimization of teaching management strategies in colleges and universities has become a hot topic of research and practice. This study specifically proposes an optimization method based on genetic algorithm and transfer learning for teaching management strategies in universities. We selected developing colleges and universities in a province in mainland China as the research object to ensure the wide applicability of the study. After a series of experimental comparisons, the method shows excellent performance in key evaluation metrics such as classroom interaction, students' learning autonomy, and long-term knowledge retention, which clearly outperforms existing methods. In addition, the method provides a new direction for thinking and practicing for teaching management in universities and provides a useful reference for future educational research.
