用模糊逻辑预测未来体育和体育教师的学业成绩
Ayşe Anapalı Şenel1, Berika Göksu1, Ender Şenel2
1Applied Mathematics, Faculty of Science, Mugla Sitki Kocman University, Mugla, Turkey.
Scientific reports
|August 2, 2025
概括
这项研究引入了模糊逻辑来预测学生在教育中的成功,发现学习方法和学术支持显著影响考试成绩. 模糊逻辑提供了一种新的方法来识别需要帮助的学生,并改善学习环境.
科学领域:
- 教育心理学教育心理学
- 教育中的人工智能
- 预测分析是一种预测分析.
背景情况:
- 学生的成功受到学术支持和学习策略的影响.
- 学业成绩的预测模型存在,但模糊逻辑应用是有限的.
- 了解影响学生表现的复杂相互作用至关重要.
研究的目的:
- 探索模糊逻辑在预测学业成绩方面的应用.
- 使用模糊逻辑模型预测未来体育教育和体育教师的考试成绩.
- 检查学习方法和学术支持对学生成绩的影响.
主要方法:
- 一个模糊逻辑模型的开发和应用.
- 分析学习方法和感知到的学术支持.
- 预测特定学生队伍的考试成绩.
主要成果:
- 模糊逻辑被证明是预测学生成功的可行工具,为传统方法提供了替代方案.
- 学生的学习方法和对学术支持的看法显著影响了他们的学业成绩.
- 该研究表明了模糊逻辑在识别影响性能的非线性相互作用方面的潜力.
结论:
- 模糊逻辑模型可以有效地预测学生的成功,并识别有风险的学生.
- 调查结果强调了促进深度学习和加强学术支持的重要性.
- 该研究有助于理解影响教育成果的复杂因素,并为有针对性的干预提供信息.
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