中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Integrated Computational Learning Algorithm for Undergraduates' Academic Early Warning

文献类型:会议论文

作者Sheng, Xiaoguang1; Yang QR(杨琦瑞)1,2; Han, Yu1; Wang, Ying1
出版日期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
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.

入库方式: OAI收割

来源:沈阳自动化研究所

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