Proceedings of the 2016 International Conference on Education, Management, Computer and Society

Application in Student Management of Similarity

Authors
Yubiao Dai, Xueli Ren
Corresponding Author
Yubiao Dai
Available Online January 2016.
DOI
https://doi.org/10.2991/emcs-16.2016.251How to use a DOI?
Keywords
Similarity; Score; Missing value; Student management; MAE
Abstract
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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Education, Management, Computer and Society
Part of series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
978-94-6252-158-2
ISSN
2352-538X
DOI
https://doi.org/10.2991/emcs-16.2016.251How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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  - 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  -