Course Selection of Students Based on Collaborative Filtering
Xueli Ren, Yubiao Dai, Deqiong Ning, Yongmei Chen
Available Online January 2016.
- https://doi.org/10.2991/emcs-16.2016.144How to use a DOI?
- Collaborative filtering; Credit system; Course selection; Student management; MAE
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/emcs-16.2016.144 ID - Ren2016/01 ER -