Proceedings of the 2017 7th International Conference on Social science and Education Research (SSER2017)

Agricultural Economics Case Teaching and Effectiveness Evaluation based on Markov chain

Authors
Shuang Yu, Guang Li, Yulian Ye
Corresponding Author
Shuang Yu
Available Online January 2018.
DOI
10.2991/sser-17.2018.68How to use a DOI?
Keywords
Case teaching; Agricultural Economics; Markov chain; Teaching evaluation
Abstract

Teaching evaluation is a basic and indispensable link in the teaching activities. It has become an important urgent task of all kinds of school to establish and improve the teaching evaluation system. In this paper, Limit distribution and Penalty factor method of Homogeneous Markov Chain are evaluation of teaching effectiveness about Case teaching mode in "Agricultural Economics" course teaching process, evaluation results are objective and accurate. Results showed that the implementation of case teaching students good teaching effect in the implementation of case teaching are not students, illustrate the case teaching in the teaching of mathematics is an effective teaching method.

Copyright
© 2018, 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 7th International Conference on Social science and Education Research (SSER2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2018
ISBN
978-94-6252-446-0
ISSN
2352-5398
DOI
10.2991/sser-17.2018.68How to use a DOI?
Copyright
© 2018, 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  - Shuang Yu
AU  - Guang Li
AU  - Yulian Ye
PY  - 2018/01
DA  - 2018/01
TI  - Agricultural Economics Case Teaching and Effectiveness Evaluation based on Markov chain
BT  - Proceedings of the 2017 7th International Conference on Social science and Education Research (SSER2017)
PB  - Atlantis Press
SP  - 315
EP  - 320
SN  - 2352-5398
UR  - https://doi.org/10.2991/sser-17.2018.68
DO  - 10.2991/sser-17.2018.68
ID  - Yu2018/01
ER  -