Application in Student Management of Similarity

DOI

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.

Copyright

© 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/).

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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  - 10.2991/emcs-16.2016.251
ID  - Dai2016/01
ER  -