Application in Student Management of Similarity
- https://doi.org/10.2991/emcs-16.2016.251How to use a DOI?
- Similarity; Score; Missing value; Student management; MAE
The learning achievement is the important index of students appraising and award grants, therefore, the scores of courses become the core content of the student management. A system is established to estimate scores to improve the learning effect based on a large number of students’ grade data bases in the educational management system, and combined with similarity technology. The four methods to compute similarity are used to estimate scores, and the result shows that the mean absolute errors are less than 5 using these methods; the missing values are filled by listwise deletion, zero imputation, one imputation and mean imputation, and the result shows that the mean imputation is better than the other methods.
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yubiao Dai AU - Xueli Ren PY - 2016/01 DA - 2016/01 TI - Application in Student Management of Similarity BT - Proceedings of the 2016 International Conference on Education, Management, Computer and Society PB - Atlantis Press SP - 1020 EP - 1023 SN - 2352-538X UR - https://doi.org/10.2991/emcs-16.2016.251 DO - https://doi.org/10.2991/emcs-16.2016.251 ID - Dai2016/01 ER -