Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)

The Achievement Evaluation Based on Collaborative Filtering

Authors
Dai Yubiao, Ren Xueli
Corresponding Author
Dai Yubiao
Available Online June 2016.
DOI
https://doi.org/10.2991/icemc-17.2017.180How to use a DOI?
Keywords
Principal component analysis; Teaching; Knowledge points; Classroom
Abstract

Curriculum is a main way to acquire knowledge, and achievement is only a test of learning the curriculum, so in the teaching activities, the teaching process is vital important, and which determines the result. Collaborative filtering is a general recommendation technology, which has been applied to personalized recommendation successfully. In the paper collaborative filtering is used in the teaching process to predict learning achievement of student according to homework scores, which not only lay timely warning for students who may not pass the test, but also lay a solid foundation for further study

Copyright
© 2017, 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/).

Download article (PDF)

Volume Title
Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
Series
Advances in Computer Science Research
Publication Date
June 2016
ISBN
978-94-6252-372-2
ISSN
2352-538X
DOI
https://doi.org/10.2991/icemc-17.2017.180How to use a DOI?
Copyright
© 2017, 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  - Dai Yubiao
AU  - Ren Xueli
PY  - 2016/06
DA  - 2016/06
TI  - The Achievement Evaluation Based on Collaborative Filtering
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
PB  - Atlantis Press
SP  - 892
EP  - 896
SN  - 2352-538X
UR  - https://doi.org/10.2991/icemc-17.2017.180
DO  - https://doi.org/10.2991/icemc-17.2017.180
ID  - Yubiao2016/06
ER  -