知识图表赋权从知识学习到毕业要求的成就成就
Yangrui Yang1, Sisi Chen1, Yaping Zhu1
1Dept. of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, Henan, China.
PloS one
|October 12, 2023
概括
这项研究构建了一个知识图,将知识,课程和毕业要求联系起来,优化教学资源,并为学生提供个性化的学习. 该方法通过增强理解和有针对性的学习,改善学生完成毕业要求.
科学领域:
- 教育技术的教育技术
- 知识管理知识管理
- 教育中的人工智能
背景情况:
- 了解所获得的知识与毕业要求之间的联系对于学生的成功至关重要.
- 分析这种关系的传统方法是劳动密集的.
- 基于结果的教育原则要求学习与结果之间有明确的联系.
研究的目的:
- 构建一个层次的知识图,连接知识,课程和毕业要求.
- 优化教学资源的组织和管理.
- 为学生提供个性化,独立的学习,以满足毕业要求.
主要方法:
- 使用知识提取,融合和推理技术.
- 使用EERJE多任务框架的转移学习方法被用于三元知识提取.
- 大型语言模型 (LLM) 用于知识推理和扩展.
主要成果:
- 知识图实现了F1值为87.76%的三元组提取和85.42%的实体分类准确度.
- 实验评估表明,数据覆盖范围全面,数据质量有所提高.
- 构建的知识图有效地优化了教学资源管理.
结论:
- 开发的知识图使学生能够直观地理解毕业要求和知识点之间的关系.
- 这种方法支持个性化学习,加强弱点,并提高完成毕业要求的成就.
- 这种基于知识图的教学范式为工程教育提供了重要的参考价值.
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