Proceedings of the 2016 International Conference on Education, Management Science and Economics

Construction of Gymnastics Performance Evaluation Model Based on Multiple Intelligence Theory

Authors
Xiangle Meng
Corresponding Author
Xiangle Meng
Available Online December 2016.
DOI
https://doi.org/10.2991/icemse-16.2016.16How to use a DOI?
Keywords
Evaluation model, performance, gymnastics, multiple intelligence theory
Abstract
By using the method of literature, logical analysis, the study reviewed the connotation of the multiple intelligences theory, analyzed the inspirations brought by the theory to gymnastics performance evaluation, expounded the necessity of the reform of gymnastics performance evaluation model, and finally put forward the construction of a new evaluation model on gymnastics performance. The results show that a reasonable evaluation model of gymnastics performance, based on the multiple intelligence theory, should include subjects, methods, goals, principles and contents. At the same time, the model should be scientific and comprehensive. Ii is concluded that the new model will be more suitable for evaluating student's gymnastics performance.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Education, Management Science and Economics
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2016
ISBN
978-94-6252-275-6
ISSN
2352-5398
DOI
https://doi.org/10.2991/icemse-16.2016.16How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiangle Meng
PY  - 2016/12
DA  - 2016/12
TI  - Construction of Gymnastics Performance Evaluation Model Based on Multiple Intelligence Theory
BT  - 2016 International Conference on Education, Management Science and Economics
PB  - Atlantis Press
SP  - 69
EP  - 71
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemse-16.2016.16
DO  - https://doi.org/10.2991/icemse-16.2016.16
ID  - Meng2016/12
ER  -