对工业与教育融合的跨技术信息管理 (ITIM) 系统的研究
Zhenhua He1, Lifeng Chen2,3, Lianqin Zhu4
1School of Logistics and Transportation and Tourism, Jiangsu Vocational College of Finance and Economics, Huaian, 223003, Jiangsu, China.
Heliyon
|October 9, 2023
概括
高校必须通过整合行业教育,使教学适应数字经济. 跨技术信息管理 (ITIM) 系统以98%的准确度改善了大数据培训.
科学领域:
- 教育技术的教育技术
- 教育中的数据科学教育中的数据科学
- 工业与学术界的合作
背景情况:
- 越来越多的人对数字经济的依赖,需要在高等教育中进行教育改革.
- 传统的人才培训模式面临诸如缺乏实际软件经验和过度强调理论等挑战.
- 有效评估商学院合作伙伴关系需要共同的标准和数据可视化.
研究的目的:
- 解决传统高等教育人才培训模式的缺陷.
- 通过加强大数据技术集成,弥合行业和教育之间的差距.
- 为优质教育开发和实施一个跨技术信息管理 (ITIM) 系统.
主要方法:
- 分析传统人才培训模式的缺陷.
- 开发和实施跨技术信息管理 (ITIM) 系统.
- 在ITIM系统中使用模糊算法来评估教育质量.
主要成果:
- 拟议的ITIM系统实现了98%的工业教育绩效准确度.
- 该系统显示平均分析和计算时间为20 ms.
- 通过对行业教育进行动态分析,最高性能效率达到了98%.
结论:
- ITIM系统有效地提高了教学效率和学生的学习.
- 整合工业教育有力地提高了理论应用教学质量.
- 与大数据教育的其他整合模型相比,ITIM系统提供了更高的性能.
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