CN111191859A - Examination prediction method and system - Google Patents
Examination prediction method and system Download PDFInfo
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- CN111191859A CN111191859A CN202010122501.2A CN202010122501A CN111191859A CN 111191859 A CN111191859 A CN 111191859A CN 202010122501 A CN202010122501 A CN 202010122501A CN 111191859 A CN111191859 A CN 111191859A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q50/10—Services
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- G06Q50/205—Education administration or guidance
Abstract
The invention discloses an examination prediction method and system, which comprises the following steps: establishing an examination prediction model at a cloud server; installing a score recording system on the intelligent terminal; students enter college examination scores; sending the college examination scores of the students to a cloud server; the cloud server predicts the examination scores of the students in the university and returns the examination prediction results to the intelligent terminal for display. By constructing the examination and research prediction model on the cloud server, inputting the college examination scores of students through the intelligent terminal, and sending the college examination scores to the examination and research prediction model for prediction, manual processing is avoided, the cost can be greatly reduced, the processing efficiency and the prediction accuracy are improved, and the error probability is reduced; meanwhile, after the prediction result is obtained through the investigation prediction model, the prediction result is returned to the intelligent terminal to be displayed, so that students can intuitively know the probability of passing the investigation, and therefore whether to participate in the investigation is determined, and the method has reference value for the students.
Description
Technical Field
The invention relates to the technical field of examination prediction, in particular to an examination prediction method and system.
Background
In recent years, the nation pays more and more attention to education, especially to the culture of high-end talents, so that more and more universities pay more and more attention to the condition of students in research, and most colleges and universities can learn whether students are interested in taking the research and the passing rate of the research by adopting a questionnaire mode so as to develop the research work of the next year by combining the research results.
However, the way of collecting student examination situations through questionnaire has the following disadvantages: (1) after the questionnaire survey collects the data filled by students, the filled data needs to be manually processed, so that the required cost is high, the efficiency is low, and the risk of data errors exists; (2) the questionnaire survey method has no reference value for students, the questionnaire survey is that the questionnaire side obtains a total survey result by knowing a plurality of filling sides, and the filling sides cannot know the survey result aiming at the questionnaire side, so that the mode of knowing the examination condition of the students by the questionnaire survey has no reference value for the students.
Disclosure of Invention
In view of the above, the invention provides an examination prediction method and an examination prediction system, which can solve the technical problems of high cost, low efficiency, error risk and no reference value for students in the existing examination situation investigation mode for students.
The technical scheme of the invention is realized as follows:
an investigation prediction method is based on an intelligent terminal and a cloud server, and specifically comprises the following steps:
step S1, constructing an investigation prediction model on a cloud server;
step S2, installing a score recording system on the intelligent terminal;
step S3, the students log in the score input system and input the examination scores of the university;
step S4, the college examination scores of the students are sent to a cloud server through the intelligent terminal;
and step S5, the cloud server predicts the examination scores of the students in the university according to the examination prediction model, and returns the examination prediction results to the intelligent terminal for display.
As a further alternative of the investigation and prediction method, the method is also based on a cloud database and an upper computer, and comprises the following steps:
step S6, the intelligent terminal sends login information of the student login result input system to the cloud server;
step S7, the cloud server stores the login information of the students, the examination scores of the university and the examination prediction results to a cloud database;
step S8, the cloud server collects the stored data in the cloud database to obtain collected data, and stores the collected data in the cloud database;
and step S9, acquiring summarized data from the cloud database according to the upper computer, and converting the summarized data into a chart form for displaying.
As a further alternative of the investigation prediction method, the step S1 includes the steps of:
step S11, acquiring the college examination scores of students taking examination in the past year and the information of the students passing the examination;
and step S12, constructing a research prediction model by using the college examination scores of the students taking the research and the information of the students passing the research as training data.
As a further alternative of the investigation prediction method, the student login result entry system in step S3 includes the steps of:
step S31, the student sends a login request to the cloud server through the intelligent terminal;
step S32, the cloud server returns a login password to the intelligent terminal;
and step S33, the student logs in the score recording system by inputting the school number and the login password on the score recording system.
As a further alternative of the research and prediction method, the step S8 of summarizing the saved data in the cloud database by the cloud server includes the following steps:
step S81, classifying the data stored in the cloud database according to the login information of the students to obtain the colleges, grades and professions of the students;
and step S82, calculating the number and proportion of the examination persons in the colleges, the grades and the professions of the students according to the examination scores and the examination prediction results of the universities.
The examination prediction system comprises an intelligent terminal and a cloud server, wherein the intelligent terminal is connected with the cloud server; the cloud server comprises a cloud storage module, the cloud storage module is used for storing the examination and research prediction model, the intelligent terminal comprises a score input system, and the score input system is used for students to input examination scores of universities.
As a further alternative of the investigation prediction system, the system further comprises a cloud database and an upper computer, wherein the cloud database is connected with a cloud server, and the upper computer is connected with the cloud database; the cloud server further comprises a cloud computing module, the cloud computing module is used for summarizing the data stored in the cloud database, and the upper computer comprises an acquisition module and a conversion module, the acquisition module is used for acquiring summarized data, and the conversion module is used for converting the summarized data.
As a further alternative of the research prediction system, the cloud storage module comprises a first storage module and a construction module, the first storage module is used for storing university examination scores of students taking part in the research in the past year and information of students passing the research, and the construction module is used for establishing a research prediction model.
As a further alternative of the research prediction system, the cloud computing module comprises a classification module and a computing module, the classification module is used for classifying the college, the grade and the specialty of the student according to the login information of the student, and the computing module is used for the number and the proportion of the research people of the college, the grade and the specialty of the student.
The invention has the beneficial effects that: by adopting the method and the system, the examination and research prediction model is built on the cloud server, the college examination scores of students are input through the intelligent terminal, and the college examination scores are sent to the examination and research prediction model for prediction, so that manual processing is avoided, the cost can be greatly reduced, the processing efficiency can be improved, the prediction accuracy can be improved, and the error probability can be reduced; meanwhile, after the prediction result is obtained through the investigation prediction model, the prediction result is returned to the intelligent terminal to be displayed, so that students can intuitively know the probability of passing the investigation, and therefore whether to participate in the investigation is determined, and the method has reference value for the students.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method of investigation prediction according to the present invention;
FIG. 2 is a schematic diagram of a research prediction system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, a research prediction method based on an intelligent terminal and a cloud server specifically includes the following steps:
step S1, constructing an investigation prediction model on a cloud server;
step S2, installing a score recording system on the intelligent terminal;
step S3, the students log in the score input system and input the examination scores of the university;
step S4, the college examination scores of the students are sent to a cloud server through the intelligent terminal;
and step S5, the cloud server predicts the examination scores of the students in the university according to the examination prediction model, and returns the examination prediction results to the intelligent terminal for display.
In the embodiment, the examination and research prediction model is built on the cloud server, the student's college examination scores are input through the intelligent terminal, and the college examination scores are sent to the examination and research prediction model for prediction, so that manual processing is avoided, the cost can be greatly reduced, the processing efficiency can be improved, the prediction accuracy can be improved, and the error probability can be reduced; meanwhile, after the prediction result is obtained through the investigation prediction model, the prediction result is returned to the intelligent terminal for displaying, so that students can intuitively know the probability of passing the investigation, and then whether to participate in the investigation is determined, and the method has reference value for the students;
it should be noted that the cloud server returns the prediction result to the intelligent terminal of the student through data, text and other forms of responses, and displays the prediction result, where the examination result of the university includes, but is not limited to, level four and level six results, performance points and higher mathematics results, and this is not limited specifically here.
Preferably, the method is further based on a cloud database and an upper computer, and comprises the following steps:
step S6, the intelligent terminal sends login information of the student login result input system to the cloud server;
step S7, the cloud server stores the login information of the students, the examination scores of the university and the examination prediction results to a cloud database;
step S8, the cloud server collects the stored data in the cloud database to obtain collected data, and stores the collected data in the cloud database;
and step S9, acquiring summarized data from the cloud database according to the upper computer, and converting the summarized data into a chart form for displaying.
In this embodiment, through saving student's login information, university examination score and examination and research prediction result to high in the clouds database, be convenient for the high in the clouds server to gather the processing to the data of saving, obtain a data that gathers, then the administrator just can obtain summary data from the high in the clouds database through the host computer, and convert summary data into chart characters, the line chart, modes such as columnar order drawing show, thereby can make corresponding plan to the examination and research work preparation of next year, and the plan can also play certain pertinence, make the education level improve greatly.
Preferably, the step S1 includes the steps of:
step S11, acquiring the college examination scores of students taking examination in the past year and the information of the students passing the examination;
and step S12, constructing a research prediction model by using the college examination scores of the students taking the research and the information of the students passing the research as training data.
In the embodiment, by acquiring the college examination scores of students taking examination in the past year, analyzing the level of college examination scores of the students taking examination in the past year, and establishing the examination prediction model based on the existing prediction model establishing method by using the two items of data as training data, the prediction efficiency can be greatly improved, the manual processing is reduced, and the error probability is reduced.
Preferably, the student login result entry system in step S3 includes the following steps:
step S31, the student sends a login request to the cloud server through the intelligent terminal;
step S32, the cloud server returns a login password to the intelligent terminal;
and step S33, the student logs in the score recording system by inputting the school number and the login password on the score recording system.
In this embodiment, when a student needs to log in the score entry system of the intelligent terminal, the student first needs to send a login request to the cloud server through the intelligent terminal, and when sending the login request, the student also needs to input the student number, then the cloud server randomly generates a login password to be returned to the intelligent terminal, the learning number of each student corresponds to the login password, the login password has timeliness, the time for generating the password is recorded after the cloud server generates the login password, once the time exceeds a preset threshold value, the login password is invalid, the student needs to send a login request to the cloud server again, and the student can log in the score recording system only when the learning number is consistent with the login password, therefore, the malicious login of the user can be prevented, the operation of the cloud server is reduced, and the processing efficiency of the cloud server is improved.
Preferably, the step S8 of summarizing the data stored in the cloud database by the cloud server includes the following steps:
step S81, classifying the data stored in the cloud database according to the login information of the students to obtain the colleges, grades and professions of the students;
and step S82, calculating the number and proportion of the examination persons in the colleges, the grades and the professions of the students according to the examination scores and the examination prediction results of the universities.
In the embodiment, the college, the grade and the specialty of the student can be effectively distinguished according to the student number input when the student logs in, so that the student can be classified quickly, the data processing efficiency is improved, the number of the research people in the college, the grade and the specialty of the student can be obtained after the student is classified, the number of the people predicted to participate in the research is divided by the total number of the people, the proportion of the research can be obtained, and the method is simple and effective, not only is the cost reduced, but also the efficiency can be improved.
The examination prediction system comprises an intelligent terminal and a cloud server, wherein the intelligent terminal is connected with the cloud server; the cloud server comprises a cloud storage module, the cloud storage module is used for storing the examination and research prediction model, the intelligent terminal comprises a score input system, and the score input system is used for students to input examination scores of universities.
In the embodiment, the examination and research prediction model is built on the cloud server, the student's college examination scores are input through the intelligent terminal, and the college examination scores are sent to the examination and research prediction model for prediction, so that manual processing is avoided, the cost can be greatly reduced, the processing efficiency can be improved, the prediction accuracy can be improved, and the error probability can be reduced; meanwhile, after the prediction result is obtained through the investigation prediction model, the prediction result is returned to the intelligent terminal for displaying, so that students can intuitively know the probability of passing the investigation, and then whether to participate in the investigation is determined, and the method has reference value for the students;
it should be noted that the cloud server returns the prediction result to the intelligent terminal of the student through data, text and other forms of responses, and displays the prediction result, where the examination result of the university includes, but is not limited to, level four and level six results, performance points and higher mathematics results, and this is not limited specifically here.
Preferably, the system further comprises a cloud database and an upper computer, wherein the cloud database is connected with a cloud server, and the upper computer is connected with the cloud database; the cloud server further comprises a cloud computing module, the cloud computing module is used for summarizing the data stored in the cloud database, and the upper computer comprises an acquisition module and a conversion module, the acquisition module is used for acquiring summarized data, and the conversion module is used for converting the summarized data.
In this embodiment, through saving student's login information, university examination score and examination and research prediction result to high in the clouds database, be convenient for the high in the clouds server to gather the processing to the data of saving, obtain a data that gathers, then the administrator just can obtain summary data from the high in the clouds database through the host computer, and convert summary data into chart characters, the line chart, modes such as columnar order drawing show, thereby can make corresponding plan to the examination and research work preparation of next year, and the plan can also play certain pertinence, make the education level improve greatly.
Preferably, the cloud storage module comprises a first storage module and a construction module, the first storage module is used for storing university examination scores of students taking examinations in the past year and information of students passing the examinations, and the construction module is used for establishing an examination prediction model.
In the embodiment, by acquiring the college examination scores of students taking examination in the past year, analyzing the level of college examination scores of the students taking examination in the past year, and establishing the examination prediction model based on the existing prediction model establishing method by using the two items of data as training data, the prediction efficiency can be greatly improved, the manual processing is reduced, and the error probability is reduced.
Preferably, the cloud computing module comprises a classification module and a computing module, the classification module is used for classifying the college, the grade and the specialty of the student according to the login information of the student, and the computing module is used for the number and the proportion of the research people of the college, the grade and the specialty of the student.
In the embodiment, the college, the grade and the specialty of the student can be effectively distinguished according to the student number input when the student logs in, so that the student can be classified quickly, the data processing efficiency is improved, the number of the research people in the college, the grade and the specialty of the student can be obtained after the student is classified, the number of the people predicted to participate in the research is divided by the total number of the people, the proportion of the research can be obtained, and the method is simple and effective, not only is the cost reduced, but also the efficiency can be improved.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (9)
1. An investigation prediction method based on an intelligent terminal and a cloud server is characterized by comprising the following steps:
step S1, constructing an investigation prediction model on a cloud server;
step S2, installing a score recording system on the intelligent terminal;
step S3, the students log in the score input system and input the examination scores of the university;
step S4, the college examination scores of the students are sent to a cloud server through the intelligent terminal;
and step S5, the cloud server predicts the examination scores of the students in the university according to the examination prediction model, and returns the examination prediction results to the intelligent terminal for display.
2. The investigation prediction method according to claim 1, the method further based on a cloud database and a host computer, characterized in that the method further comprises the steps of:
step S6, the intelligent terminal sends login information of the student login result input system to the cloud server;
step S7, the cloud server stores the login information of the students, the examination scores of the university and the examination prediction results to a cloud database;
step S8, the cloud server collects the stored data in the cloud database to obtain collected data, and stores the collected data in the cloud database;
and step S9, acquiring summarized data from the cloud database according to the upper computer, and converting the summarized data into a chart form for displaying.
3. The investigation prediction method of claim 2, wherein the step S1 comprises the steps of:
step S11, acquiring the college examination scores of students taking examination in the past year and the information of the students passing the examination;
and step S12, constructing a research prediction model by using the college examination scores of the students taking the research and the information of the students passing the research as training data.
4. The investigation prediction method of claim 3, wherein the student login result entry system of step S3 comprises the following steps:
step S31, the student sends a login request to the cloud server through the intelligent terminal;
step S32, the cloud server returns a login password to the intelligent terminal;
and step S33, the student logs in the score recording system by inputting the school number and the login password on the score recording system.
5. The investigation prediction method of claim 4, wherein the step S8 of the cloud server summarizing the saved data in the cloud database includes the following steps:
step S81, classifying the data stored in the cloud database according to the login information of the students to obtain the colleges, grades and professions of the students;
and step S82, calculating the number and proportion of the examination persons in the colleges, the grades and the professions of the students according to the examination scores and the examination prediction results of the universities.
6. The utility model provides a prediction system examines and research, the system includes intelligent terminal and high in the clouds server, intelligent terminal is connected with high in the clouds server, its characterized in that, high in the clouds server includes cloud storage module, cloud storage module is used for storing the prediction model of examining and research, intelligent terminal includes the score and types the system, the score is typeeed the system and is used for the student to type university's examination score.
7. The investigation prediction method according to claim 6, wherein the system further comprises a cloud database and an upper computer, the cloud database is connected with a cloud server, and the upper computer is connected with the cloud database; the cloud server further comprises a cloud computing module, the cloud computing module is used for summarizing the data stored in the cloud database, and the upper computer comprises an acquisition module and a conversion module, the acquisition module is used for acquiring summarized data, and the conversion module is used for converting the summarized data.
8. The investigation prediction method of claim 7, wherein the cloud storage module comprises a first storage module and a construction module, the first storage module is used for storing college examination scores of students taking examinations in the past and information of students passing examinations, and the construction module is used for establishing an investigation prediction model.
9. The research prediction method of claim 8, wherein the cloud computing module comprises a classification module and a calculation module, the classification module is used for classifying the college, the grade and the specialty of the student according to the login information of the student, and the calculation module is used for the number and the proportion of the research subjects in the college, the grade and the specialty of the student.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113065719A (en) * | 2021-04-23 | 2021-07-02 | 中国矿业大学(北京) | Examination success rate prediction device, examination success rate prediction method, readable medium and electronic device |
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| CN106157204A (en) * | 2016-06-20 | 2016-11-23 | 山东师范大学 | A kind of Forecasting The Scores method and system based on BP neural network model |
| CN109241148A (en) * | 2018-11-12 | 2019-01-18 | 电子科技大学中山学院 | College student score intelligent big data management system |
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| CN105488142A (en) * | 2015-11-24 | 2016-04-13 | 科大讯飞股份有限公司 | Student score information input method and system |
| CN106157204A (en) * | 2016-06-20 | 2016-11-23 | 山东师范大学 | A kind of Forecasting The Scores method and system based on BP neural network model |
| CN109241148A (en) * | 2018-11-12 | 2019-01-18 | 电子科技大学中山学院 | College student score intelligent big data management system |
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Application publication date: 20200522 |