情报科学 ›› 2022, Vol. 40 ›› Issue (10): 137-146.

• 业务研究 • 上一篇    下一篇

大数据视野下教育信息化管理系统构建与对策研究 

  

  • 出版日期:2022-10-01 发布日期:2022-10-01

  • Online:2022-10-01 Published:2022-10-01

摘要: 【目的/意义】随着人工智能与教育知识服务的深入发展,教育信息化管理成为大数据时代推动教育教学管
理科学发展的基石。然而
,由于大数据方法在教育信息化管理应用的发展时间较短以及教育系统的复杂性,教育数
据信息化管理在教学管理及教学服务方面发挥的作用依然存在不足。【方法
/过程】本文通过阐释大数据视野下教
育信息化管理的内涵,分析了高校在该方面的现状及存在问题,基于数据驱动思想与
Apriori算法构建了一个新型
的教育信息化管理系统,并提出相应的信息化建设对策。【结果
/结论】结果表明,本文所构建的管理系统可以为管
理者、教师和学生等不同对象提供课程设置评价、课程群关联性分析、人才培养、就业指导、学生学习效果侧写等更
加精准全面的管理服务。【创新
/局限】提出了数据驱动的教育信息化管理系统及建设对策,为大数据技术在教育信
息化、智能化、全面化、定制化管理方面的应用提供了可参考的新思路和新模式。但是由于教育信息化影响因素较
多,未对影响高校教育信息化建设因素做全面的解析。

Abstract: Purpose/significanceWith the further development of artificial intelligence and education knowledge services, education information management has become the cornerstone of promoting the education and teaching management scientific development in the era of big data. Nevertheless, there are many problems in the field of education data information management for teaching manage‐ment and teaching services, due to the short development time of big data method in the application of education information manage‐ment and the complexity of education system. Method/processThis paper explained the connotation of education information manage‐
ment in the view of big data, and analyzed the current situations and existing problems of teaching information management in colleges and universities. A new education information management system was constructed based on regression analysis and Apriori algorithm,and some information construction decisions were given
.Result/conclusionThe results show that the education information manage‐ment system can provide managers, teachers and students with more accurate and comprehensive management services, such as cur‐
riculum design evaluation, correlation analysis of curriculum group, personnel training, employment guidance, profile of learn effect and so on.
Innovation/limitationThe education information management system based on data driven and its construction decisions are proposedand then they can provide new ideas and models for the application of big data technology in education informatization,intelligent, comprehensive and customized management. However, there is no comprehensive resolution on the influence of teaching in‐formation construction factorsbecause of its many influence factors.