通过数据挖掘技术设计和实施大学生体育教学信息管理系统
1School of Physical Education, Wuhan University of Science and Technology, Wuhan, China.
Heliyon
|September 9, 2024
概括
本研究介绍了一种基于数据挖掘的体育教育教学管理系统,用于大学. 改进的算法准确地挖掘教学数据,提高教育效率并减少教师的工作量.
科学领域:
- 教育技术的教育技术
- 数据挖掘 数据挖掘
- 运动科学 运动科学 运动科学
背景情况:
- 传统的体育教育 (PE) 教学管理方法不足以满足现代要求.
- 有必要将数据挖掘与现有的大学PE教学数据库集成,以提取有价值的见解.
研究的目的:
- 使用数据挖掘设计和实施大学生体育教学信息管理系统.
- 研究数据挖掘技术与PE教学数据库的有效整合.
- 为改善PE教学和管理提供数据驱动的信息支持.
主要方法:
- 数据挖掘技术,包括学生评估的决策树和教师-学生数据分析的协会规则.
- 为适应性和可维护性开发一个三层系统架构模型.
- 提取了1039个记录和8205个学生记录用于数据挖掘.
主要成果:
- 分析显示,专业称号,教育水平和教学经验是影响教学有效性的关键因素,经验至关重要.
- 与原始算法 (0.08最大差异) 相比,改进的数据挖掘算法显示了显著更高的准确性 (0.01最大差异).
- 该系统成功地集成了数据挖掘,在大学环境中展示了实际应用和有效性.
结论:
- 数据挖掘为推进PE教学和管理提供了坚实的基础.
- 开发的系统提高了PE教学效率,加速了流程,并减少了教师的工作量.
- 该系统在大学环境中是可操作和有效的,满足现代管理需求.
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