The Application of Reasonableness Evaluation Model Based on Coefficient of Variation and Normal Distribution in Advanced Mathematics

In order to test the learning and teaching outcomes in a comprehensive and objective way, it is necessary to have a practical examination based on a reasonable proposal. On one hand, a comprehensive evaluation model is built in the paper. Firstly, we analyze the five evaluation indicators, including...

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Main Authors: Ma Zhipeng, Yao Shuwan, Fang Yuming
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201817303023
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spelling doaj-287800a734c543b5bd3f5bd07afd19c42021-03-02T10:36:37ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011730302310.1051/matecconf/201817303023matecconf_smima2018_03023The Application of Reasonableness Evaluation Model Based on Coefficient of Variation and Normal Distribution in Advanced MathematicsMa ZhipengYao ShuwanFang YumingIn order to test the learning and teaching outcomes in a comprehensive and objective way, it is necessary to have a practical examination based on a reasonable proposal. On one hand, a comprehensive evaluation model is built in the paper. Firstly, we analyze the five evaluation indicators, including the relevance, importance, difficulty, extensibility and enlightenment of knowledge points in the database. Then, the weights of these indicators are calculated by Matlab. Lastly, with the method of coefficient of variation, the model is built to formulate a reasonable Question program for advanced mathematics BI. One the other hand, another evaluation model based on the Kuder-Richarson method is built to assess the reliability of the tests. According to the two quantitative models above, a reasonable solution to the test schemes can be obtained.https://doi.org/10.1051/matecconf/201817303023
collection DOAJ
language English
format Article
sources DOAJ
author Ma Zhipeng
Yao Shuwan
Fang Yuming
spellingShingle Ma Zhipeng
Yao Shuwan
Fang Yuming
The Application of Reasonableness Evaluation Model Based on Coefficient of Variation and Normal Distribution in Advanced Mathematics
MATEC Web of Conferences
author_facet Ma Zhipeng
Yao Shuwan
Fang Yuming
author_sort Ma Zhipeng
title The Application of Reasonableness Evaluation Model Based on Coefficient of Variation and Normal Distribution in Advanced Mathematics
title_short The Application of Reasonableness Evaluation Model Based on Coefficient of Variation and Normal Distribution in Advanced Mathematics
title_full The Application of Reasonableness Evaluation Model Based on Coefficient of Variation and Normal Distribution in Advanced Mathematics
title_fullStr The Application of Reasonableness Evaluation Model Based on Coefficient of Variation and Normal Distribution in Advanced Mathematics
title_full_unstemmed The Application of Reasonableness Evaluation Model Based on Coefficient of Variation and Normal Distribution in Advanced Mathematics
title_sort application of reasonableness evaluation model based on coefficient of variation and normal distribution in advanced mathematics
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description In order to test the learning and teaching outcomes in a comprehensive and objective way, it is necessary to have a practical examination based on a reasonable proposal. On one hand, a comprehensive evaluation model is built in the paper. Firstly, we analyze the five evaluation indicators, including the relevance, importance, difficulty, extensibility and enlightenment of knowledge points in the database. Then, the weights of these indicators are calculated by Matlab. Lastly, with the method of coefficient of variation, the model is built to formulate a reasonable Question program for advanced mathematics BI. One the other hand, another evaluation model based on the Kuder-Richarson method is built to assess the reliability of the tests. According to the two quantitative models above, a reasonable solution to the test schemes can be obtained.
url https://doi.org/10.1051/matecconf/201817303023
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