The Achievement Evaluation Based on Collaborative Filtering

DOI

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/).

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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  - 10.2991/icemc-17.2017.180
ID  - Yubiao2016/06
ER  -