大数据驱动下的本科交叉融合学科教育教学管理策略优化  

Optimization of the Education and Teaching Management Strategies of Undergraduate Cross-fusion Disciplines Driven by Big Data

作　　者：多力思 郭晶[1] 曾繁丽[1] Duo Lisi;Guo Jing;Zeng Fani(Harbin Engineering University,Harbin 150006,China)

机构地区：[1]哈尔滨工程大学,哈尔滨150006

出　　处：《办公自动化》2023年第16期32-35,共4页Office Informatization

基　　金：黑龙江省2022年度高等教育本科教学改革研究项目以“研究生创新实践系列大赛”为依托的科教融合协同育人模式实践(项目编号:SJ-*GY20220107)。

摘　　要：近年来,国家对本科教育的质量提出更高的要求,随之而来的是高校需要不断探索创新,发展不同类型的交叉融合学科,形成更加完善的本科人才培养体系。同时,大数据等信息技术的发展也为高校的教育教学管理带来更多的挑战。针对高校目前在交叉融合学科教育教学管理方面存在的问题,文章给出一些改进的思路。In recent years,the state has put forward a higher requirements for the quality of undergraduate education,and with it,colleges and universities need to explore and innovate continuously,develop different types of cross-fusion disciplines,and form a more perfect undergraduate talents cultivation system.Meanwhile,the development of information technology such as big data has also brought more challenges to the education and teaching management of colleges and universities.In view of the current problems in cross-fusion discipline education and teaching management in colleges and universities,this paper gives some ideas for improvement.

关 键 词：大数据 交叉融合学科 教育教学管理 

分 类 号：G642.0[文化科学—高等教育学] G647[文化科学—教育学]