Integrated Computational Learning Algorithm for Undergraduates' Academic Early Warning

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 数字工厂研究室

	Integrated Computational Learning Algorithm for Undergraduates' Academic Early Warning
	Sheng, Xiaoguang 1; Yang QR(杨琦瑞)1,2; Han, Yu 1; Wang, Ying 1
	2020
会议日期	December 20-21, 2020
会议地点	Xiamen, China
页码	1-8
英文摘要	With the development of education big data, it is helpful for education managers to use machine learning method to predict students' academic warning status, in order to ensure that students pass the course and graduate on time. Although significant progress on predicting academic warning status has been achieved in recent years, existing methods are often lack of generalization and are difficult to be applied in real scenarios. In this study, we divide students' scores into five coarse-grained dimensions: mathematics, foreign language, humanities, major and total score, and innovatively use machine learning ensemble model to predict college students' academic status. Experiments show that the coarse-grained dimension division is not only conducive to the generalization of the model, but also improves the accuracy of prediction academic warning status by 9.708%. Meanwhile, experimental results show that the multi machine learning model ensemble technique can effectively improve the prediction accuracy of college students' academic warning status. With only a small number of samples, the accuracy of predicting students' academic warning status by three months in advance reaches 97.52%, and that by the previous semester reaches above 97.93%.
产权排序	2
会议录	2020 2nd International Conference on Computer, Communications and Mechatronics Engineering (CCME2020)
会议录出版者	IOP
会议录出版地	Bristol, UK
语种	英语
ISSN号	1742-6596
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/28626]
专题	沈阳自动化研究所_数字工厂研究室
通讯作者	Sheng, Xiaoguang
作者单位	1.University of Chinese Academy of Sciences, No.19(A) Yuquan Road, Shijingshan District, Beijing100049, China 2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式 GB/T 7714	Sheng, Xiaoguang,Yang QR,Han, Yu,et al. Integrated Computational Learning Algorithm for Undergraduates' Academic Early Warning[C]. 见:. Xiamen, China. December 20-21, 2020.