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English score prediction method based on big data, and server for predicting English score

A forecasting method and server technology, applied in data processing applications, forecasting, genetic models, etc., can solve the problems of high cost, inability to improve grades, difficulty in improving grades, etc., and achieve the effect of improving accuracy

Inactive Publication Date: 2018-09-28
河南工学院
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the main basis for employers to measure English proficiency is the English scores of applicants. As we all know, the cost of many general English tests is very high, and it is very difficult to improve their scores through repeated tests; some general English tests (such as CET- 6) Only for specific groups of people, that is, the number of times each person can take this type of test is certain, and the test cannot be improved by repeated tests

Method used

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  • English score prediction method based on big data, and server for predicting English score

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Experimental program
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Effect test

Embodiment 1

[0017] Such as figure 1 Said, the English performance prediction method of the present invention comprises: Step 101: generate the first questionnaire by the server, and send the first questionnaire to the user terminal; Step 102: the user terminal sends the first answer to the first questionnaire to the server, and the server Obtain the user's listening ability parameters, reading ability parameters, and translation ability parameters based on the first answer; step 103: the server generates a second questionnaire, and sends the second questionnaire to the user terminal; step 104: the user terminal sends the second questionnaire to the second questionnaire The second answer is sent to the server, and the server obtains the user's vocabulary ability parameter, grammar ability parameter and discourse knowledge ability parameter based on the second answer; step 105: the server generates the third questionnaire, and sends the third questionnaire to the user terminal; step 106: Th...

Embodiment 2

[0019]The method of the present invention also includes the server based on the user's listening ability parameters, reading ability parameters, translation ability parameters, vocabulary ability parameters, grammar ability parameters, discourse knowledge ability parameters, learning motivation parameters, learning interest parameters, cross-cultural communication ability parameters And the oral ability parameter predicts the user's performance specifically as follows: the user's listening ability parameter, reading ability parameter, translation ability parameter, vocabulary ability parameter, grammar ability parameter, discourse knowledge ability parameter, learning motivation parameter, learning interest parameter are established by the server parameters, cross-cultural communication ability parameters, and the association between oral ability parameters and the user's historical English performance; using the Apriori algorithm, based on the user's listening ability parameter...

Embodiment 3

[0021] The present invention also provides a server for predicting English performance based on big data, the server includes: a unit for generating the first questionnaire and sending the first questionnaire to the user terminal; for receiving the first questionnaire for the first questionnaire An answer, and based on the first answer to obtain the unit of the user's listening ability parameters, reading ability parameters and translation ability parameters, the first answer is sent by the user terminal; used to generate the second questionnaire, and send the second questionnaire to the user terminal A unit; used to receive the second answer for the second questionnaire, and obtain the user's vocabulary ability parameter, grammar ability parameter and discourse knowledge ability parameter based on the second answer, the second answer is sent by the user terminal; use A unit for generating the third questionnaire and sending the third questionnaire to the user terminal; for rec...

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Abstract

The invention discloses an English score prediction method based on big data, and the method comprises the steps: generating a first questionnaire through a server, transmitting a first answer of thefirst questionnaire to the server through a user terminal, and enabling the server to obtain a listening ability parameter, a reading ability parameter and a translation ability parameter of a user based on the first answer; enabling the server to generate a second questionnaire, transmitting a second answer of the second questionnaire to the server through the user terminal, and obtaining a vocabulary ability parameter, a grammar ability parameter and a discourse knowledge ability parameter of the user; enabling the server to generate a third questionnaire, transmitting the third answer of the third questionnaire to the server through the user terminal, and obtaining a learning motivation parameter, a learning interest parameter and a cross-cultural communication ability parameter of theuser; enabling the server to generate an interactive question and answer test, enabling the user terminal to send an interactive question and answer test answer of the interactive question and answertest to the server, and enabling the server to predict the score of the user based on various parameters and oral ability parameters.

Description

technical field [0001] The invention relates to a method for predicting English grades, in particular to a method for predicting English grades based on big data and a server for predicting English grades. Background technique [0002] In today's society, English proficiency is very important. Whether you have high English ability can actually determine the career direction of most people. At present, the main basis for employers to measure English proficiency is the English scores of applicants. As we all know, the cost of many general English tests is very high, and it is very difficult to improve their scores through repeated tests; some general English tests (such as CET- 6) Only for specific groups of people, that is, the number of times each person can take this type of test is certain, and the test cannot be repeated to improve the score. [0003] Under the above circumstances, it is of great significance for candidates to use some technical means to predict the tes...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/02G06N3/12
CPCG06N3/02G06N3/126G06Q10/04
Inventor 崔华娴梁敏
Owner 河南工学院
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