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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2018-01-01
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Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201817303023 |
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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 |
work_keys_str_mv |
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