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)
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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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