Sun Xiaomeng
Normal College, Shihezi University, Shihezi, China.
Front Psychol. 2023 Feb 16;14:1015759. doi: 10.3389/fpsyg.2023.1015759. eCollection 2023.
With the deepening of the strategy of strengthening the country through education, the innovation and development of higher education, system reform and teaching innovation in the western region have become the focus of researchers' attention, and the optimization of educational power strategy has always been an important basis for the development of teaching work. On the basis of fuzzy models Takagi and Sugeno (T-S), this paper constructs an educational resource recommendation model based on T-S fuzzy neural network, verifies the feasibility of the model, further combines the educational resource recommendation model with university teaching, and analyzes the application effect. The current situation of educational resources investigation in M College is analyzed. It is found that the full-time teachers' overall academic qualifications are not high, the proportion of young full-time teachers with certain experience is small, and the professional advantages of the school are not obvious. After applying the educational resource recommendation model, the accuracy of educational resource recommendation is obviously improved, and the design is feasible. The educational management mode with positive psychological emotions has a good teaching effect, which can greatly improve teachers' dedication and concentration. Positive psychological emotions can reduce the possibility of intensification of contradictions and the possibility of behavioral opposition. Teaching resource recommendation mode can improve college students' interest in the application of teaching resources to a certain extent, and their application satisfaction is obviously improved. This paper not only provides technical support for the improvement of teaching management resource recommendation mode, but also contributes to the optimization of teaching power strategy.
随着教育强国战略的深入推进,西部地区高等教育的创新发展、体制改革和教学创新成为研究者关注的焦点,而教育强国战略的优化始终是教学工作发展的重要依据。本文在高木-菅野(T-S)模糊模型的基础上,构建了基于T-S模糊神经网络的教育资源推荐模型,验证了模型的可行性,进一步将教育资源推荐模型与高校教学相结合,并分析了应用效果。分析了M学院教育资源调查的现状。发现专任教师整体学历不高,有一定经验的青年专任教师比例小,学校的专业优势不明显。应用教育资源推荐模型后,教育资源推荐的准确性明显提高,设计可行。具有积极心理情绪的教育管理模式具有良好的教学效果,能极大提高教师的敬业度和专注度。积极的心理情绪可以降低矛盾激化的可能性和行为对立的可能性。教学资源推荐模式能在一定程度上提高大学生对教学资源应用的兴趣,其应用满意度明显提高。本文不仅为教学管理资源推荐模式的改进提供了技术支持,也为教学强国战略的优化做出了贡献。