Proceedings of the 2017 2nd International Conference on Humanities and Social Science (HSS 2017)

Research of Learning Scoring Model for Chinese Police Information Management Course

Authors
Liang Hu, Jin Wen, Hong-Mei Yu, Yu-Chi Zhu
Corresponding Author
Liang Hu
Available Online February 2017.
DOI
10.2991/hss-17.2017.90How to use a DOI?
Keywords
Learning scoring, Police information management, Course, Analytic hierarchy process.
Abstract

This research analyzes the key factors of the learning quality index and the teaching effect of Chinese police information management course and proposes a learning scoring model. The model uses the analytic hierarchy process to compute the weight of each factor index, establishes the index weight coefficient by a scientific system of evaluation matrix of data analysis collected the survey sampling mode, and then according to the data analysis gives a comprehensive evaluation score of students' 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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Volume Title
Proceedings of the 2017 2nd International Conference on Humanities and Social Science (HSS 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
February 2017
ISBN
978-94-6252-316-6
ISSN
2352-5398
DOI
10.2991/hss-17.2017.90How 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  - Liang Hu
AU  - Jin Wen
AU  - Hong-Mei Yu
AU  - Yu-Chi Zhu
PY  - 2017/02
DA  - 2017/02
TI  - Research of Learning Scoring Model for Chinese Police Information Management Course
BT  - Proceedings of the 2017 2nd International Conference on Humanities and Social Science (HSS 2017)
PB  - Atlantis Press
SP  - 517
EP  - 523
SN  - 2352-5398
UR  - https://doi.org/10.2991/hss-17.2017.90
DO  - 10.2991/hss-17.2017.90
ID  - Hu2017/02
ER  -