一个合并的模糊系统和神经网络,用于改进科学研究和教育的管理方法和战略
1Beijing Institute of Graphic Communication, Beijing, 102600, China. kangwentao@bigc.edu.cn.
Scientific reports
|July 2, 2025
概括
教育管理中的人工智能 (AI) 增强了个性化的学习和资源分配. 这种由人工智能驱动的方法改善了决策,提高了学生的成绩,并优化了教育资源.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
- 教育中的数据科学教育中的数据科学
背景情况:
- 传统的教育管理面临着个性化和资源优化方面的挑战.
- 整合人工智能 (AI) 为教育方法提供了变革性的潜力.
研究的目的:
- 提出一种基于人工智能的方法,用于教育中的科学管理.
- 使用人工智能增强决策,学生成绩和资源配置.
主要方法:
- 神经网络分类和模糊系统的组合.
- 实施改进的激活功能和新的管理技术.
- 在神经网络结构中利用分类学习者.
主要成果:
- 学生表现和行政效率的显著改善.
- 促进了风险研究人员的早期识别.
- 在评估通过率上实现了15%的增加.
结论:
- 拟议的AI方法有效优化了教育管理.
- 数据驱动的洞察力带来了提高学生的成功和高效的资源利用.
- 人工智能集成为当前的教育挑战提供了创新的解决方案.
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