CN110659313A - College entrance examination aspiration analysis system based on artificial intelligence - Google Patents
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Abstract
The invention discloses a college entrance examination volunteer analysis system based on artificial intelligence, which comprises: the system comprises a database, a screening and editing module, a scheme query unit, an intelligent algorithm processing unit and a display module, wherein the database is created with a casting line data field, a professional score data field, a professional classification data field, a professional introduction data field and a college introduction data field. According to the invention, the institution and school file-putting lines and professional admission scores of the provincial recruit examination institute over the years are integrated, the provincial recruit examination institute and the university are combined, the data and model fitting is nearly perfect, the structure of the scale is very clear, the scale completely conforms to a theoretical model, and a large database system with very ideal structural validity is provided. Under the mechanism, the college entrance examination volunteer filling plan is authoritative, safe and efficient, and more scientific and accurate is provided for the user.
Description
Technical Field
The invention relates to the technical field of college entrance examination volunteer analysis systems, in particular to a college entrance examination volunteer analysis system based on artificial intelligence.
Background
It is known that in addition to the importance of college entrance examination, the later volunteers are also important to fill in, which plays a great role in the fate of examinees, and the volunteers reported after the examination seem to score out and report the volunteers easily, but it is still difficult, because even if you are not wrong, you do not know that there are few people in the same score segment, how many people and you are struggling for a university and a specialty together, and the examinees in each batch are very dense, and the score segments are lower, the number of people is more dense, so you must make a lot of effort to enter the high segment, and the number of people who are struggled for is not too many, you have a better chance to enter the ideal school of themselves, and this needs a lot of data support to accurately judge the range of colleges that children can select.
At present, college entrance examination voluntary reporting software on the market adopts a one-by-one query mode, namely students query favorite colleges to obtain corresponding professional plans and professional scores in the past year, the method has the possibility of selection omission, and the students may miss some good chances, particularly newly-added schools and professionals.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a college entrance examination volunteer analysis system based on artificial intelligence.
In order to achieve the purpose, the invention adopts the following technical scheme: college entrance examination volunteer analytic system based on artificial intelligence includes: the system comprises a database, a screening and editing module, a scheme query unit, an intelligent algorithm processing unit and a display module;
the database is created with a casting line data field, a professional score data field, a professional classification data field, a professional introduction data field and a college introduction data field;
the screening and editing module is used for searching the use habits of the users through user investigation, setting a condition screening value and a condition return value, and returning a corresponding condition value by receiving condition data of the client;
the scheme query unit is used for providing the selected college query for the user according to the condition of the user;
the intelligent algorithm processing unit is used for carrying out intelligent calculation processing and feeding back corresponding data according to the user screening conditions;
and the display module is used for displaying the acquired and screened results of the colleges.
As a further description of the above technical solution:
and each data field established in the database is endowed with a corresponding numerical value, the corresponding admission batch, the province of the college, the nature of the college, the type of the college and the subject of the study are arranged according to the professional admission score and the file line of the past year published by the province and the examination institute of the student, and the specialty of the college and the university are linked with the classification dictionary of the specialty of the people's republic of China to ensure that each specialty can be associated with the specialty.
As a further description of the above technical solution:
the data field of the file throwing line is a general application of the department of statistics of file throwing conditions of the integrated province and student examination hall in the past year, and guidance opinions are provided by arranging the data field by a big data algorithm;
the professional score data field is a professional admission score of the integrated provincial recruit test institute for the past year;
the professional classification data field is based on the ' professional classification dictionary of the people's republic of China ', and the latest professional classification is updated year by year;
the professional introduction data field is used for performing in-person editing on national classification specialties by senior experts in various industries and providing accurate reference opinions for the career guidance of students;
the college introduction data field is an information publishing platform specified by the college entrance sun light project of the education department, the college introduction is arranged, the conciseness is introduced, and accurate information is provided for students.
As a further description of the above technical solution:
the scheme query unit comprises a scheme one-key generation module, a score query module and a ranking query module;
and the scheme one-key generation module is used for selecting provinces, professions and filling strategies of the expected colleges by inputting the scores by a user, and generating a voluntary filling scheme closest to the condition by one key.
As a further description of the above technical solution:
the score query module is used for intelligently recommending a list of institutions and schools which correspond to the reference year and accord with the stability and security strategy by inputting examination scores by a user and displaying the institutions and schools which are high in teaching level, developed in regions and have local influence and employment advantages;
and the ranking query module is used for intelligently converting corresponding college entrance examination scores of the corresponding reference year by inputting examination ranks by a user, intelligently recommending a college list conforming to a stability and security strategy by taking the scores as sampling conditions, and displaying colleges with high teaching level, regional economy, local influence and employment advantages.
As a further description of the above technical solution:
the scheme inquiry unit also comprises a reference year editing module;
and the reference year editing module is used for inputting reference year information when the scheme one-key generating module, the score inquiring module and the ranking inquiring module are analyzed and inquired.
As a further description of the above technical solution:
the intelligent algorithm processing module comprises a college screening module and a professional screening module;
and the college screening module is used for screening the colleges according to the province, the property, the subject of study, the type of the student and the professional admission rule of the college screening module after the user inquires through the score inquiring module or the ranking inquiring module, and returning corresponding college condition values by taking corresponding screening conditions as sampling conditions.
As a further description of the above technical solution:
and the professional screening module is used for screening institutions by using the national professional classification and the popular professional classification through the professional screening module after a user inquires through the score query module or the ranking query module, so that the institutions including the selected specialty are displayed as a return numerical value.
The application method of the college entrance examination volunteer analysis system based on artificial intelligence comprises the following steps:
s01: establishing a database, and creating a posting line data field, a professional score data field, a professional classification data field, a professional introduction data field and a college introduction data field;
s02: setting a sampling condition and a return value;
s03: a user selects a scheme for one-key generation according to own conditions, and queries colleges through score query or ranking query;
s04: a user selects a college screener or a professional screener as required to recommend a college list through an intelligent algorithm;
s05: after the screening is finished, the colleges and universities meeting the conditions are displayed through the display module, and the users select intention college volunteers according to the profiles and professional profiles of the colleges and universities.
Advantageous effects
The invention provides a college entrance examination volunteer analysis system based on artificial intelligence. The method has the following beneficial effects:
the college entrance examination wish analysis system based on artificial intelligence integrates college entrance lines and professional admission scores of the provincial recruit examination hospitals over the years, and is combined with the ' Chinese people ' republic of China professional classification dictionary ', data and model fitting is nearly perfect, the structure of a scale is very clear, the scale completely conforms to a theoretical model, and a large database system with very ideal structural effectiveness is provided. Under the mechanism, the college entrance examination volunteer filling plan is authoritative, safe and efficient, and more scientific and accurate is provided for the user.
Drawings
FIG. 1 is a general schematic diagram of a college entrance examination volunteer analysis system based on artificial intelligence according to the present invention;
FIG. 2 is a schematic diagram of a schema query unit in the present invention;
FIG. 3 is a schematic diagram of an intelligent algorithm processing unit of the present invention;
FIG. 4 is a flow chart of the usage of the college entrance examination volunteer analysis system based on artificial intelligence provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-3, an artificial intelligence based college entrance examination volunteer analysis system includes: the system comprises a database, a screening and editing module, a scheme query unit, an intelligent algorithm processing unit and a display module;
the database is created with a casting line data field, a professional score data field, a professional classification data field, a professional introduction data field and a college introduction data field;
the screening and editing module is used for searching the use habits of the users through user investigation, setting a condition screening value and a condition return value, and returning a corresponding condition value by receiving condition data of the client;
the scheme query unit is used for providing the selected college query for the user according to the condition of the user;
the intelligent algorithm processing unit is used for carrying out intelligent calculation processing and feeding back corresponding data according to the user screening conditions;
and the display module is used for displaying the acquired and screened results of the colleges.
And each data field established in the database is endowed with a corresponding numerical value, the corresponding admission batch, the province of the college, the nature of the college, the type of the college and the subject of the study are arranged according to the professional admission score and the file line of the past year published by the province and the examination institute of the recruit, and the specialty of the college and the classics of the national people's republic of China are linked to ensure that each specialty can be associated with the specialty.
The data field of the file throwing line is used for integrating the general first volunteers of the general department of statistics of file throwing conditions of the years in the past of the provincial and the admission control laboratory, and the guidance opinions are provided by adopting big data algorithm arrangement;
the professional score data field is a professional admission score of the integrated provincial recruit test institute in the past year;
the professional classification data field is based on the ' professional classification dictionary of the people's republic of China ', and the latest professional categories are updated year by year;
the professional introduction data field is used for performing in-person editing on national classification specialties for qualified experts of various industries and professions, and provides accurate reference opinions for the career guidance of students;
the college introduction data field is an information publishing platform specified by the college entrance admission sunshine project of the education department, the college introduction is arranged, the conciseness is recruited, and accurate information is provided for students.
The scheme query unit comprises a scheme one-key generation module, a score query module and a ranking query module;
and the scheme one-key generation module is used for selecting provinces, professions and filling strategies of the expected colleges by inputting the scores by a user, and generating a voluntary filling scheme closest to the condition by one key.
The score query module is used for intelligently recommending a list of institutions and schools which correspond to the reference year and accord with the stability and security strategy by inputting examination scores by a user and displaying the institutions and schools which are high in teaching level, developed in regions and have local influence and employment advantages;
and the ranking query module is used for intelligently converting corresponding college entrance examination scores corresponding to the reference years by inputting examination ranks by a user, intelligently recommending a college list conforming to a stability and security strategy by taking the scores as sampling conditions, and displaying colleges with high teaching level, regional economy, local influence and employment advantages.
The scheme inquiry unit further includes a reference year editing unit;
and the reference year editing unit is used for inputting reference year information when the scheme one-key generating module, the score inquiring module and the ranking inquiring module are analyzed and inquired.
The intelligent algorithm processing module comprises a college screening module and a professional screening module;
and the college screening module is used for screening the colleges according to the province, the property, the subject of study, the type of the student and the professional admission rule of the user after the user inquires through the score inquiry module or the ranking inquiry module, and returning corresponding college condition values by taking corresponding screening conditions as sampling conditions.
And the professional screening module is used for screening the colleges by using the national professional classification and the popular professional classification through the professional screening module after the user inquires through the score inquiry module or the ranking inquiry module, so that the colleges containing the selected specialty are displayed as a return numerical value.
The college entrance examination wish analysis system based on artificial intelligence integrates college and universities input lines and professional admission scores of the provincial recruit examination institute in the past years, and combines the input lines and the professional admission scores with the ' Chinese people ' republic of China professional classification dictionary ' to form a large database covering the professional admission conditions of the college and universities in nearly three years; based on the method, the most suitable institutions are recommended through scores of examinees or target specialties, and the artificial intelligence algorithm is combined to perform key recommendation from teaching levels, regional economy, local influence, employment advantages and enrollment trends of the institutions.
Referring to fig. 4, the method for using the college entrance examination volunteer analysis system based on artificial intelligence comprises the following steps:
s01: establishing a database, and creating a posting line data field, a professional score data field, a professional classification data field, a professional introduction data field and a college introduction data field;
s02: setting a sampling condition and a return value;
s03: a user selects a scheme for one-key generation according to own conditions, and queries colleges through score query or ranking query;
s04: a user selects a college screener or a professional screener as required to recommend a college list through an intelligent algorithm;
s05: after the screening is finished, the colleges and universities meeting the conditions are displayed through the display module, and the users select intention college volunteers according to the profiles and professional profiles of the colleges and universities.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (9)
1. College entrance examination volunteer analytic system based on artificial intelligence, its characterized in that includes: the system comprises a database, a screening and editing module, a scheme query unit, an intelligent algorithm processing unit and a display module;
the database is created with a casting line data field, a professional score data field, a professional classification data field, a professional introduction data field and a college introduction data field;
the screening and editing module is used for searching the use habits of the users through user investigation, setting a condition screening value and a condition return value, and returning a corresponding condition value by receiving condition data of the client;
the scheme query unit is used for providing the selected college query for the user according to the condition of the user;
the intelligent algorithm processing unit is used for carrying out intelligent calculation processing and feeding back corresponding data according to the user screening conditions;
and the display module is used for displaying the acquired and screened results of the colleges.
2. The system of claim 1, wherein each data field created in the database is assigned a corresponding value, and the system arranges the corresponding batch of registrations, the province of the institution, the nature of the institution, the type of the institution and the subject of the institution according to the professional registration score and the filing line of the past year published by the provincial entrance examination hall, and links the specialty of the institution with the classification of the university of the people's republic of China to ensure that each specialty can be associated with the specialty.
3. The college entrance examination volunteer analysis system based on artificial intelligence as claimed in claim 1, wherein the data field of the file-casting line is a general-lot first volunteer of the statistical representation of file casting situation of the past years of the integrated provincial student examination hall, and the guidance opinion is provided by arranging by adopting a big data algorithm;
the professional score data field is a professional admission score of the integrated provincial recruit test institute for the past year;
the professional classification data field is based on the ' professional classification dictionary of the people's republic of China ', and the latest professional classification is updated year by year;
the professional introduction data field is used for performing in-person editing on national classification specialties by senior experts in various industries and providing accurate reference opinions for the career guidance of students;
the college introduction data field is an information publishing platform specified by the college entrance sun light project of the education department, the college introduction is arranged, the conciseness is introduced, and accurate information is provided for students.
4. The artificial intelligence based college entrance examination volunteer analysis system according to claim 1, wherein the scheme query unit comprises a scheme one-key generation module, a score query module and a ranking query module;
and the scheme one-key generation module is used for selecting provinces, professions and filling strategies of the expected colleges by inputting the scores by a user, and generating a voluntary filling scheme closest to the condition by one key.
5. The college entrance examination volunteer analysis system based on artificial intelligence as claimed in claim 4, wherein said score query module is used for the user to intelligently recommend a list of colleges and universities corresponding to the reference year in compliance with the stability and security policy by inputting examination scores, and to display the colleges and universities with high teaching level, developed regions, and local influence and employment advantages;
and the ranking query module is used for intelligently converting corresponding college entrance examination scores of the corresponding reference year by inputting examination ranks by a user, intelligently recommending a college list conforming to a stability and security strategy by taking the scores as sampling conditions, and displaying colleges with high teaching level, regional economy, local influence and employment advantages.
6. The artificial intelligence-based college entrance examination volunteer analysis system according to claim 4, wherein the plan query unit further comprises a reference year editing unit;
and the reference year editing unit is used for inputting reference year information when the scheme one-key generating module, the score inquiring module and the ranking inquiring module are analyzed and inquired.
7. The artificial intelligence based college entrance examination volunteer analysis system according to claim 1, wherein the intelligent algorithm processing module comprises an institution screening module and a professional screening module;
and the college screening module is used for screening the colleges according to the province, the property, the subject of study, the type of the student and the professional admission rule of the college screening module after the user inquires through the score inquiring module or the ranking inquiring module, and returning corresponding college condition values by taking corresponding screening conditions as sampling conditions.
8. The system of claim 7, wherein the professional screening module is configured to screen institutions by the professional screening module according to national professional classifications and popular professional classifications after the user queries the colleges through the score query module or the ranking query module, so as to display institutions including the selected specialty as a return value.
9. The application method of the college entrance examination volunteer analysis system based on artificial intelligence is characterized by comprising the following steps of:
s01: establishing a database, and creating a posting line data field, a professional score data field, a professional classification data field, a professional introduction data field and a college introduction data field;
s02: setting a sampling condition and a return value;
s03: a user selects a scheme for one-key generation according to own conditions, and queries colleges through score query or ranking query;
s04: a user selects a college screener or a professional screener as required to recommend a college list through an intelligent algorithm;
s05: after the screening is finished, the colleges and universities meeting the conditions are displayed through the display module, and the users select intention college volunteers according to the profiles and professional profiles of the colleges and universities.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113407855A (en) * | 2021-07-29 | 2021-09-17 | 河南鸿之博教育科技有限公司 | College entrance examination voluntary reporting auxiliary recommendation method and system |
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Application publication date: 20200107 |