CN111612659A - Automatic scoring system and method for online financial accounting examination - Google Patents
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Abstract
The invention relates to the field of computer-aided education, and discloses an automatic scoring system for an online financial accounting examination. Meanwhile, the automatic scoring method for the online financial accounting examination realizes automatic scoring of the test paper of the online financial accounting examination, does not need manual intervention, is quicker and more accurate than manual scoring, and further ensures the fairness of evaluation. The invention aims at the fact that the accounting training system simulates actual operation question type practice and the examination carries out automatic scoring, and finally realizes the automation of the examination in the accounting industry of the training system.
Description
Technical Field
The invention belongs to the field of computer-aided education, and particularly relates to an automatic scoring system and method for an online financial accounting examination.
Background
At present, the practical operation part of a student is few in education and training examination, the existing system simply realizes the examination content display, the student answering condition still needs a teacher to manually score, and no complete internet technology brings convenience to the student.
In the existing system, only part of the automatic scoring function of the system is realized, namely, the commonly used simple question type scoring (such as option questions, judgment questions and the like) is realized. An automatic scoring system for simulating actual operation in the accounting industry and making account types for students to practice examinations is lacked.
Disclosure of Invention
The invention aims to simulate actual operation question type practice and automatically calculate scores in an examination aiming at an accounting training system, and realize the automation of the examination in the accounting industry of the training system. In order to achieve the above object, the present invention provides an automatic scoring system for an online financial accounting examination, comprising:
a user system: the system is used for the user to participate in the examination, input the personal information of the user and answer the answer, and consists of a plurality of clients, and a human-computer interaction module is arranged in each client;
the question bank system: the method is mainly used for storing, adding, deleting, modifying and inquiring test questions, and meanwhile, the error rate and the related examination points of each test question are calculated and recorded according to the exercise condition of a user;
an examination point system: the system is used for examining a specific examination point or carrying out comprehensive capability examination on an examinee, and comprises a specific examination point examination system and a comprehensive capability examination system;
the specific examination point assessment system is used for reading the error rate of the examination questions in the question bank module and the related examination points, and carrying out error-prone examination question pushing and error-prone point strengthening assessment training on a specific examination point;
the comprehensive capacity assessment system is used for comprehensively assessing financial accounting professional students and comprises conventional assessment and actual assessment, wherein the conventional assessment comprises but is not limited to assessing financial accounting professional knowledge points in the forms of selection questions, gap filling questions, judgment questions and short answer questions, and the actual assessment comprises but is not limited to assessing financial accounting practice of users by using real financial data or simulated financial data;
the scoring system comprises: the system is mainly responsible for machine autonomous scoring and comprises a query module, a classification module, a comparison module and an accounting module;
the query module is used for acquiring the examination ID of the test paper submitted by the examinee from the client and querying question information, question type information and correct answer information of the submitted test paper according to the examination ID;
the classification module is used for identifying question information and question type information of the submitted test paper, and then putting answer answers of the question types into data sets corresponding to the question types respectively, wherein the question types comprise common question types and actual exercise question types;
the comparison module carries out double circulation matching on the correct answer data set and the answer data set of each question type by using a pattern combine method, returns true modification stored score to the grading module if the answer is correct, returns false corresponding score to the grading module as 0 score if the answer is wrong, and finally obtains the score set of each question type;
the accounting module is used for accounting the scoring condition of the test paper submitted by the examinee according to the answer comparison condition, and the scoring condition comprises the scoring condition of each question type and the total scoring condition;
the system comprises a physical server and a network server, wherein the physical server is used for storing user privacy data, the network server is used for storing system codes and user non-privacy data, an item bank system and an examination point system are connected with the network server through the physical server, the network server receives all user exercise condition data uploaded by the item bank system and carries out anonymous processing, the total error rate of the items is calculated through big data analysis, user ranking and learning conditions are evaluated through the total error rate and the user exercise conditions, data are fed back to the examination point system through the physical server, and a man-machine interaction system receives feedback data and regularly and quantitatively pushes the items with higher error rate to a user.
Preferably, the human-computer interaction module includes the identification unit for verify examinee's identity, including certificate scanner and biological identification system, the certificate scanner is used for discerning the scanning to ID card, student's card or other certificates, and biological identification system is used for discerning the examination user.
Preferably, still include monitored control system, monitored control system includes global monitoring system and customer end monitored control system, global monitoring system installs in the examination place, carry out real time monitoring to the overall situation in examination place, customer end monitored control system includes the recording unit, the unit of taking a picture, the video unit, software monitoring unit, the recording unit is used for carrying out whole journey record to the examinee examination, the video unit is used for carrying out whole journey video recording to the examinee examination, the unit of taking a picture is used for taking a picture at examination in-process at random, software monitoring unit is used for monitoring the online condition of customer end, prevent that the abnormal networking and use cheating software during the examination.
The automatic scoring method for the online financial accounting examination is also provided, and the automatic scoring system for the online financial accounting examination is used for scoring, and comprises the following steps:
s1: the scoring system calls a query module to obtain the examination ID, the question information, the question type information and the correct answer information of the examination paper submitted by the examinee from the client;
s2, the grading system calls a classification module to classify the obtained test paper test questions according to the common question types and the actual exercise question types to obtain correct answers of all the question types, and data encapsulation is carried out to obtain correct answer data sets of all the question types;
s3: carrying out data encapsulation on answer of examinees according to different question types to obtain answer data sets of all question types;
s4: calling a pattern combine method in a comparison module to carry out double circulation matching on the correct answer data set and the answer data set of each question type, if the answer is correct, returning true modification stored score to a grading module, and if the answer is wrong, returning false corresponding score to the grading module as 0 score to finally obtain the score set of each question type;
s5: the total score of the test paper is obtained by statistics from the score set of each topic obtained in step S4.
Preferably, the common themes include:
single choice questions, multiple choice questions, filling in blank questions, and judgment questions.
Preferably, when the question type belongs to a common question type, the step S4 further includes the steps of:
s4.1.1: matching the answer data set of each frequently-used question type obtained in the step S2 with the correct answer data set of each corresponding frequently-used question type obtained in the step S3;
s4.1.2: taking out the matched answer data of a certain frequently-used question type and the correct answer data of the frequently-used question type from a data set of the answer data of the certain frequently-used question type and a data set of the correct answer of the frequently-used question type respectively;
s4.1.3: comparing the answer data of a frequently used question type extracted in step S3.1.2 with the correct answer data of the frequently used question type in a one-to-one manner according to the question sequence;
s4.1.4: if the answer data of a certain question is the same as the correct answer data of the question, the comparison is successful,
if the answer data of a certain question is not the same as the correct answer data of the question, the comparison is unsuccessful;
s4.1.5: obtaining the number of times of successful comparison according to the comparison condition in the step S3.1.4;
s4.1.6: according to the number of successful comparison in step S3.1.5, the score of each frequently used question is counted and stored in the score set named by each frequently used question.
Preferably, when the question type belongs to the real-exercise question type, the step S4 includes the steps of:
s4.2.1: decompressing the correct answer data set of the real exercise question type obtained in the step S2 to obtain correct worksheet string data of each accounting step of the real exercise question type;
s4.2.2: putting the correct worksheet string data obtained in the step S4.2.1 into a set to be compared;
s4.2.3: decompressing the answer data set of the real exercise question type obtained in step S3 to obtain answer worksheet string data of each accounting step of the real exercise question type;
s4.2.4: if the data type of the character string of the answer worksheet is not consistent with the data type of the character string of the correct worksheet, the data type of the character string of the answer worksheet is converted into the data type identical with the data type of the character string of the correct worksheet, and then the data type of the character string of the correct worksheet is put into a set to be compared,
if the data type of the character string of the answer worksheet is consistent with that of the character string of the correct worksheet, directly putting the data into a set to be compared;
s4.2.5: according to the question sequence, the correct worksheet string data in the set to be compared is compared with the answer worksheet string data,
the compared information comprises style information, row and column information and filling content information of the cells of the worksheet;
s4.2.6: if the answer worksheet data of a certain topic is completely matched with the correct worksheet data comparison information of the topic, the comparison is successful,
if the answer worksheet data of a certain topic and the correct worksheet data of the topic cannot be completely matched with each other, the comparison is unsuccessful;
s4.2.7: obtaining the number of times of successful comparison according to the comparison condition in the step S4.2.6;
s4.2.8: according to the comparison success times in step S4.2.7, the score of the real exercise question is counted and stored in the score set named by the real exercise question.
Preferably, the method of data conversion described in step S4.2.1 includes, but is not limited to, the method of operation of java on io byte stream.
Preferably, the step S5 includes the following steps:
s5.1: acquiring score set information of each topic;
s5.2: judging whether each topic type score set has a data record or not;
s5.3: according to the judgment condition of the step S4.2, extracting the score condition of the topic recorded in the topic score set with the data record;
s5.4: and (4) counting the total score condition according to the score condition extracted in the step (S4.3) and storing the total score condition into a total score set.
Advantageous effects
The implementation of the invention has the following beneficial effects:
the invention aims at the accounting training system to simulate the actual operation question type exercise and automatically calculate the score in the examination, and finally realizes the automation of the examination in the accounting industry of the training system.
Drawings
FIG. 1 is a schematic diagram of a data processing flow according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of the present 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. 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 scope of protection of the present invention.
Example one
An online financial accounting examination automatic scoring system, comprising:
a user system: the system is used for the user to participate in the examination, input the personal information of the user and answer the answer, and consists of a plurality of client sides pc, wherein a human-computer interaction module is arranged in each client side;
the question bank system: the method is mainly used for storing, adding, deleting, modifying and inquiring test questions, and meanwhile, the error rate and the related examination points of each test question are calculated and recorded according to the exercise condition of a user;
an examination point system: the system is used for examining a specific examination point or carrying out comprehensive capability examination on an examinee, and comprises a specific examination point examination system and a comprehensive capability examination system;
the specific examination point assessment system is used for reading the error rate of the examination questions in the question bank module and the related examination points, and carrying out error-prone examination question pushing and error-prone point strengthening assessment training on a specific examination point;
the comprehensive capacity assessment system is used for comprehensively assessing financial accounting professional students and comprises conventional assessment and actual assessment, wherein the conventional assessment comprises but is not limited to assessing financial accounting professional knowledge points in the forms of selection questions, gap filling questions, judgment questions and short answer questions, and the actual assessment comprises but is not limited to assessing financial accounting practice of users by using real financial data or simulated financial data;
the scoring system comprises: the system is mainly responsible for machine autonomous scoring and comprises a query module, a classification module, a comparison module and an accounting module;
the query module is used for acquiring the examination ID of the test paper submitted by the examinee from the client and querying question information, question type information and correct answer information of the submitted test paper according to the examination ID;
the classification module is used for identifying question information and question type information of the submitted test paper, and then putting answer answers of the question types into data sets corresponding to the question types respectively, wherein the question types comprise common question types and actual exercise question types;
the comparison module carries out double circulation matching on the correct answer data set and the answer data set of each question type by using a pattern combine method, returns true modification stored score to the grading module if the answer is correct, returns false corresponding score to the grading module as 0 score if the answer is wrong, and finally obtains the score set of each question type;
the accounting module is used for accounting the scoring condition of the test paper submitted by the examinee according to the answer comparison condition, and the scoring condition comprises the scoring condition of each question type and the total scoring condition;
the system comprises a physical server and a network server, wherein the physical server is used for storing user privacy data, the network server is used for storing system codes and user non-privacy data, an item bank system and an examination point system are connected with the network server through the physical server, the network server receives all user exercise condition data uploaded by the item bank system and carries out anonymous processing, the total error rate of the items is calculated through big data analysis, user ranking and learning conditions are evaluated through the total error rate and the user exercise conditions, data are fed back to the examination point system through the physical server, and a man-machine interaction system receives feedback data and regularly and quantitatively pushes the items with higher error rate to a user.
The man-machine interaction module comprises an identity recognition unit for verifying the identity of an examinee, and comprises a certificate scanner and a biological recognition system, wherein the certificate scanner is used for recognizing and scanning identity cards, student cards or other certificates, and the biological recognition system is used for recognizing examination users.
Still include monitored control system, monitored control system includes global monitoring system and customer end monitored control system, global monitoring system installs in the examination place, carry out real time monitoring to the whole condition in examination place, customer end monitored control system includes the recording unit, the unit of taking a picture, the video unit, software monitoring unit, the recording unit is used for carrying out whole journey recording to the examinee examination, the video unit is used for carrying out whole journey video recording to the examinee examination, the unit of taking a picture is used for taking a picture at examination in-process at random, software monitoring unit is used for monitoring the online condition of customer end, prevent that the abnormal networking and use cheating software during the examination.
Example two
An automatic scoring method for an online financial accounting examination comprises the following steps:
1. according to the examination ID20190001 of the test paper submitted by the examinee, question information A and question type information of the test paper are obtained, wherein the question information A and the question type information comprise choice questions, blank filling questions and correct answer information B, and a correct answer data set C of the choice questions and the blank filling questions is obtained.
2. Respectively carrying out data encapsulation on answer of examinees according to different choice questions and blank filling questions to obtain a choice question answer data set D and a blank filling question answer data set E;
3. the answer data set of the choice questions and the answer data set of the blank filling questions are respectively compared with the answer data set to obtain a fraction set of the choice questions and the blank filling questions, wherein the correct answer data set C of the choice questions and the blank filling questions is respectively matched with the answer data set D of the choice questions and the answer data set E of the blank filling questions; taking out the answering answer data of the matched choice questions and the matched blank filling questions and the correct answer data of the choice questions and the matched blank filling questions from the answering answer data set of the choice questions and the matched blank filling questions and the correct answer data set of the choice questions and the matched blank filling questions respectively; according to the question sequence, one-to-one comparison is carried out on the answer data and the correct answer data of the selected questions and the blank filling questions; if the answer data of the question N is the same as the correct answer data M of the question, the comparison is successful, and if the answer data of the question N is not the same as the correct answer data M of the question, the comparison is unsuccessful;
counting the number of times of successful comparison between the selected questions and the blank filling questions to be respectively 10; and counting the scoring conditions of the selection questions and the blank filling questions according to the comparison success condition times 10, and storing the scoring conditions into a scoring set of the selection questions and a scoring set of the blank filling questions.
4. And (4) counting to obtain the total score of the test paper according to the score set of the selection questions and the gap filling questions obtained in the step (3): acquiring score set information of a selection question and a blank filling question; judging whether a score set of the selection questions and the blank filling questions has data records; extracting the score condition of the topic type recorded in the topic type score set with the data record; and counting the extracted score conditions to obtain total score conditions and storing the total score conditions into a total score set.
EXAMPLE III
1. According to the examination ID20190002 of the test paper submitted by the examinee, the question information of the test paper is A, the question type information is an actual exercise question type, and the correct answer information is B, so that a correct answer data set C of each question type is obtained.
2. Carrying out data encapsulation on the answering answers of the examinees according to the real exercise questions to obtain an answering answer data set D of the real exercise questions;
3. and comparing the correct answer data set of the real exercise question with the answer data set to obtain a score set E of the real exercise question: decompressing the correct answer data set C of the actual exercise question to obtain correct worksheet string data of each accounting step of the actual exercise question type; putting the correct worksheet string data into a set to be compared; decompressing the answer data set D of the real exercise question to obtain the answer worksheet character string data of each accounting step of the real exercise question; if the data type of the character string of the answer worksheet is not consistent with the data type of the character string of the correct worksheet, converting the data type of the character string of the answer worksheet into the data type identical with the data type of the character string of the correct worksheet, converting the data type of the character string of the answer worksheet by using a java-based operation method of io byte stream, and then putting the converted data type of the character string of the answer worksheet into a set to be compared, and if the data type of the character string of the answer worksheet is consistent; according to the question sequence, carrying out information comparison on correct worksheet character string data and answer worksheet character string data in the set to be compared, wherein the compared information comprises style information, row and column information and filling content information of cells of the worksheet; if the comparison information of the answer worksheet data N of the question and the correct worksheet data M of the question is completely matched, the comparison is successful, and if the comparison information of the answer worksheet data N of the question and the correct worksheet data M of the question cannot be completely matched, the comparison is unsuccessful; obtaining the times of successful comparison according to the comparison condition; and according to the times of the successful comparison, counting the score condition of the actual exercise question type and storing the score set named by the actual exercise question type.
4. And (3) counting the total score condition of the test paper according to the score set E of the actual exercise question type: acquiring actual exercise question type score set information; judging whether a data record exists in the real operation item type score set or not; extracting the score condition of the real exercise question type recorded in the real exercise question score set with the data record according to the judgment condition; and counting the total score condition according to the extracted score condition and storing the total score condition into a total score fraction set.
The above embodiments are only for illustrating the invention and are not to be construed as limiting the invention, and those skilled in the art can make various changes and modifications without departing from the spirit and scope of the invention, so that all equivalent technical solutions also belong to the scope of the invention, and the scope of the invention is defined by the claims.
Claims (9)
1. An automatic scoring system for an online financial accounting examination, comprising:
a user system: the system is used for the user to participate in the examination, input the personal information of the user and answer the answer, and consists of a plurality of clients, and a human-computer interaction module is arranged in each client;
the question bank system: the method is mainly used for storing, adding, deleting, modifying and inquiring test questions, and meanwhile, the error rate and the related examination points of each test question are calculated and recorded according to the exercise condition of a user;
an examination point system: the system is used for examining a specific examination point or carrying out comprehensive capability examination on an examinee, and comprises a specific examination point examination system and a comprehensive capability examination system;
the specific examination point assessment system is used for reading the error rate of the examination questions in the question bank module and the related examination points, and carrying out error-prone examination question pushing and error-prone point strengthening assessment training on a specific examination point;
the comprehensive capacity assessment system is used for comprehensively assessing financial accounting professional students and comprises conventional assessment and actual assessment, wherein the conventional assessment comprises but is not limited to assessing financial accounting professional knowledge points in the forms of selection questions, gap filling questions, judgment questions and short answer questions, and the actual assessment comprises but is not limited to assessing financial accounting practice of users by using real financial data or simulated financial data;
the scoring system comprises: the system is mainly responsible for machine autonomous scoring and comprises a query module, a classification module, a comparison module and an accounting module;
the query module is used for acquiring the examination ID of the test paper submitted by the examinee from the client and querying question information, question type information and correct answer information of the submitted test paper according to the examination ID;
the classification module is used for identifying question information and question type information of the submitted test paper, and then putting answer answers of the question types into data sets corresponding to the question types respectively, wherein the question types comprise common question types and actual exercise question types;
the comparison module carries out double circulation matching on the correct answer data set and the answer data set of each question type by using a pattern combine method, returns true modification stored score to the grading module if the answer is correct, returns false corresponding score to the grading module as 0 score if the answer is wrong, and finally obtains the score set of each question type;
the accounting module is used for accounting the scoring condition of the test paper submitted by the examinee according to the answer comparison condition, and the scoring condition comprises the scoring condition of each question type and the total scoring condition;
the system comprises a physical server and a network server, wherein the physical server is used for storing user privacy data, the network server is used for storing system codes and user non-privacy data, an item bank system and an examination point system are connected with the network server through the physical server, the network server receives all user exercise condition data uploaded by the item bank system and carries out anonymous processing, the total error rate of the items is calculated through big data analysis, user ranking and learning conditions are evaluated through the total error rate and the user exercise conditions, data are fed back to the examination point system through the physical server, and a man-machine interaction system receives feedback data and regularly and quantitatively pushes the items with higher error rate to a user.
2. The system of claim 1, wherein the human-computer interaction module comprises an identity recognition unit for verifying the identity of the examinee, and comprises a document scanner for performing recognition scanning on an identity card, a student's card or other documents, and a biometric recognition system for recognizing the user of the examination.
3. The automatic scoring system for the on-line financial accounting examination as claimed in claim 1, further comprising a monitoring system, wherein the monitoring system comprises a global monitoring system and a client monitoring system, the global monitoring system is installed in an examination place and monitors the whole situation of the examination place in real time, the client monitoring system comprises a recording unit, a photographing unit, a video unit and a software monitoring unit, the recording unit is used for recording the whole recording of the examination of an examinee, the video unit is used for recording the whole recording of the examination of the examinee, the photographing unit is used for randomly photographing in the examination process, and the software monitoring unit is used for monitoring the internet access situation of the client, so that abnormal networking and cheating software use during the examination are prevented.
4. An automatic scoring method for an online financial accounting examination, which is characterized in that the automatic scoring system for the online financial accounting examination of claim 1 is used for scoring, and comprises the following steps:
s1: the scoring system calls a query module to obtain the examination ID, the question information, the question type information and the correct answer information of the examination paper submitted by the examinee from the client;
s2, the grading system calls a classification module to classify the obtained test paper test questions according to the common question types and the actual exercise question types to obtain correct answers of all the question types, and data encapsulation is carried out to obtain correct answer data sets of all the question types;
s3: carrying out data encapsulation on answer of examinees according to different question types to obtain answer data sets of all question types;
s4: calling a pattern combine method in a comparison module to carry out double circulation matching on the correct answer data set and the answer data set of each question type, if the answer is correct, returning true modification stored score to a grading module, and if the answer is wrong, returning false corresponding score to the grading module as 0 score to finally obtain the score set of each question type;
s5: the total score of the test paper is obtained by statistics from the score set of each topic obtained in step S4.
5. An online financial institution examination automatic scoring system or an online financial institution examination automatic scoring method as claimed in claim 1 or 4, wherein the frequently-used question type includes:
single choice questions, multiple choice questions, filling in blank questions, and judgment questions.
6. The automatic scoring method for an online financial institution examination as claimed in claim 4, wherein the step S4 further comprises the following steps when the question type belongs to a commonly used question type:
s4.1.1: matching the answer data set of each frequently-used question type obtained in the step S2 with the correct answer data set of each corresponding frequently-used question type obtained in the step S3;
s4.1.2: taking out the matched answer data of a certain frequently-used question type and the correct answer data of the frequently-used question type from a data set of the answer data of the certain frequently-used question type and a data set of the correct answer of the frequently-used question type respectively;
s4.1.3: comparing the answer data of a frequently used question type extracted in step S3.1.2 with the correct answer data of the frequently used question type in a one-to-one manner according to the question sequence;
s4.1.4: if the answer data of a certain question is the same as the correct answer data of the question, the comparison is successful,
if the answer data of a certain question is not the same as the correct answer data of the question, the comparison is unsuccessful;
s4.1.5: obtaining the number of times of successful comparison according to the comparison condition in the step S3.1.4;
s4.1.6: according to the number of successful comparison in step S3.1.5, the score of each frequently used question is counted and stored in the score set named by each frequently used question.
7. The automatic scoring method for the online financial institution examination as claimed in claim 4, wherein the step S4 comprises the following steps when the question type belongs to the real exercise question type:
s4.2.1: decompressing the correct answer data set of the real exercise question type obtained in the step S2 to obtain correct worksheet string data of each accounting step of the real exercise question type;
s4.2.2: putting the correct worksheet string data obtained in the step S4.2.1 into a set to be compared;
s4.2.3: decompressing the answer data set of the real exercise question type obtained in step S3 to obtain answer worksheet string data of each accounting step of the real exercise question type;
s4.2.4: if the data type of the character string of the answer worksheet is not consistent with the data type of the character string of the correct worksheet, the data type of the character string of the answer worksheet is converted into the data type identical with the data type of the character string of the correct worksheet, and then the data type of the character string of the correct worksheet is put into a set to be compared,
if the data type of the character string of the answer worksheet is consistent with that of the character string of the correct worksheet, directly putting the data into a set to be compared;
s4.2.5: according to the question sequence, the correct worksheet string data in the set to be compared is compared with the answer worksheet string data,
the compared information comprises style information, row and column information and filling content information of the cells of the worksheet;
s4.2.6: if the answer worksheet data of a certain topic is completely matched with the correct worksheet data comparison information of the topic, the comparison is successful,
if the answer worksheet data of a certain topic and the correct worksheet data of the topic cannot be completely matched with each other, the comparison is unsuccessful;
s4.2.7: obtaining the number of times of successful comparison according to the comparison condition in the step S4.2.6;
s4.2.8: according to the comparison success times in step S4.2.7, the score of the real exercise question is counted and stored in the score set named by the real exercise question.
8. The automatic scoring method for an online financial institution examination as recited in claim 7, wherein the data transformation method of step S4.2.1 includes but is not limited to java-to-io byte stream.
9. The automatic scoring method for an online financial institution examination as claimed in claim 4, wherein the step S5 includes the steps of:
s5.1: acquiring score set information of each topic;
s5.2: judging whether each topic type score set has a data record or not;
s5.3: according to the judgment condition of the step S4.2, extracting the score condition of the topic recorded in the topic score set with the data record;
s5.4: and (4) counting the total score condition according to the score condition extracted in the step (S4.3) and storing the total score condition into a total score set.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101477755A (en) * | 2009-01-06 | 2009-07-08 | 陈诗周 | Error problem database system for student |
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| CN104217310A (en) * | 2014-09-27 | 2014-12-17 | 昆明钢铁集团有限责任公司 | Smart paperless examination system and method |
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