整合和检索来自异质平台的学习分析数据,使用本体学对齐:基于图形的方法
Mohd Hafizan Musa1,2, Sazilah Salam1,3, Siti Feirusz Ahmad Fesol4
1Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, 76100 Melaka, Malaysia.
MethodsX
|January 15, 2025
概括
这项研究引入了一种用于管理异质教育数据的新本体学,改进了洞察力和决策. 学生绩效和课程本体学增强了教育机构的资源管理和绩效评估.
科学领域:
- 计算机科学 计算机科学
- 教育技术的教育技术.
- 数据科学数据科学数据科学
背景情况:
- 教育机构面临的挑战是异构的数据集成和检索.
- 现有的实体学需要即兴化,以解决新的教育数据主题.
- 高等教育中需要先进的数据驱动决策.
研究的目的:
- 利用本体图数据库,探索跨平台整合和检索异质数据.
- 增强教育洞察力,并使数据驱动的决策.
- 为管理学生和课程绩效数据提出一个创新的本体学.
主要方法:
- 开发了一种创新的本体论,即学生表现和课程本体论.
- 改进了现有的实体,并根据初步采访引入了新的实体.
- 利用本体图形数据库进行数据集成和检索.
- 包含了基于绩效评估的数据检索评估矩阵.
主要成果:
- 成功解决了数据积累和异质性的问题.
- 开发了一个适合处理大型数据集的可扩展模型.
- 启用了对课程,学生和MOOC的增强资源管理和评估.
- 确认了基于绩效评估的数据检索过程.
结论:
- 拟议的学生表现和课程本体学有效地整合了异构的教育数据.
- 本体图形数据库增强了教育洞察力和数据驱动的决策.
- 该模型为管理和评估教育数据提供了一个可扩展的解决方案.
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