Course Selection of Students Based on Collaborative Filtering

DOI

10.2991/emcs-16.2016.144How to use a DOI?

Keywords

Collaborative filtering; Credit system; Course selection; Student management; MAE

Abstract

The credit system is the need of higher education development. It is the basis and core of the credit system. Therefore, it is necessary to establish a reasonable course recommendation system. Collaborative filtering is a method of group intelligence, which has been successfully applied in many fields such as electronic commerce, video recommendation, etc. A model to recommend the curriculum is established to guide students to choose the right course to improve the learning effect based on a large number of students grades in the educational management system, and that combined with collaborative filtering recommendation technology to find the students who may not pass and give any help as soon as possible, so these improve the level of management of students in the school effectively and lay a solid foundation for improving the quality of teaching. The method is applied to the prediction of student grades, the results show that the absolution deviations between predicted and actual values are within 5.

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  - Xueli Ren
AU  - Yubiao Dai
AU  - Deqiong Ning
AU  - Yongmei Chen
PY  - 2016/01
DA  - 2016/01
TI  - Course Selection of Students Based on Collaborative Filtering
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 594
EP  - 597
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.144
DO  - 10.2991/emcs-16.2016.144
ID  - Ren2016/01
ER  -