Deep Study for Teachers Selection by Students Basing on Gaussian Mixture

DOI

10.2991/icaicte-15.2015.21How to use a DOI?

Keywords

Gaussian Mixture Models; selecting teachers; teaching reform

Abstract

The article aims at the issues that the students autonomously select the teachers during the teaching and has further deep study with the related theory of Gaussian Mixture Models. Establishing model for teachers puts the issues students selecting teachers into Gaussian Mixture Models to expect to put a kind of new thinking way for teaching reform with the scientific theory. We believe that the way will effectively be promoted with the development of education reform, improvement of class freedom and evoking of students’ self-concept.

Copyright

© 2015, 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  - Su Jinghui
AU  - Lu Yang
AU  - Guo Bin
PY  - 2015/08
DA  - 2015/08
TI  - Deep Study for Teachers Selection by Students Basing on Gaussian Mixture
BT  - Proceedings of the 2015 3d International Conference on Advanced Information and Communication Technology for Education
PB  - Atlantis Press
SP  - 89
EP  - 91
SN  - 2352-538X
UR  - https://doi.org/10.2991/icaicte-15.2015.21
DO  - 10.2991/icaicte-15.2015.21
ID  - Jinghui2015/08
ER  -