CN110991830B - Test paper analysis reporting system and method - Google Patents

Test paper analysis reporting system and method Download PDF

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CN110991830B
CN110991830B CN201911137446.8A CN201911137446A CN110991830B CN 110991830 B CN110991830 B CN 110991830B CN 201911137446 A CN201911137446 A CN 201911137446A CN 110991830 B CN110991830 B CN 110991830B
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郑洪涛
江华清
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Hebei Canglan Education Technology Group Co ltd
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Abstract

The invention provides a test paper analysis report system and a method, comprising the following steps: the system comprises an acquisition module, a judging module, a model analysis module and an output module; the acquisition module acquires answer information of the test paper, and transmits the answer information to the paper judging module; the examination paper judging module is used for judging the examination paper information transmitted by the acquisition module, acquiring the examination paper-based examination paper answering situation of an examinee and transmitting the answering situation to the model analysis module; a model analysis module, comprising: the model building unit is used for building a learning model according to answer conditions of the examinee group; the model processing unit is used for acquiring the learning rank and the knowledge point mastering condition of the examinee based on the learning model according to the answering condition transmitted by the judging and winding module, and transmitting and displaying the answering condition, the learning rank and the knowledge point mastering condition of the examinee to the output module, so that the answering condition, the learning rank and the knowledge point mastering condition of the examinee are acquired by the staff and the examinee.

Description

Test paper analysis reporting system and method
Technical Field
The invention relates to the technical field of examination, in particular to a test paper analysis reporting system and method.
Background
Along with the continuous development of science and technology, the data analysis technology is applied to the aspects of work and life of people, thereby bringing great convenience to people; at present, an intelligent paper marking instrument is used for realizing automatic paper marking and shortening the time consumed by manual paper marking in the traditional technology; however, the traditional intelligent examination paper reader can only judge examination papers and can not acquire knowledge points of examinees according to the answer conditions of the examinees to the examination papers.
Therefore, a test paper analysis report system and a method are provided.
Disclosure of Invention
In order to solve the technical problems, the invention provides a test paper analysis reporting system and a test paper analysis reporting method, which are used for obtaining knowledge points of examinees.
The embodiment of the invention provides a test paper analysis reporting system, which comprises: the system comprises an acquisition module, a judging module, a model analysis module and an output module; wherein, the liquid crystal display device comprises a liquid crystal display device,
the acquisition module is used for acquiring answer information of the test paper based by the examinee and transmitting the answer information to the paper judging module;
the examination paper judging module is used for carrying out examination paper judging processing on the answer information transmitted by the acquisition module, acquiring answer cases of test paper-based testers and transmitting the answer cases to the model analysis module;
the model analysis module comprises a model establishment unit and a model processing unit; the model building unit is used for building a learning model according to answer conditions of the examinee group; the model processing unit is used for acquiring the learning ranking and knowledge point mastering conditions of the examinee based on the learning model according to the answer conditions transmitted by the paper judging module, and transmitting the answer conditions, the learning ranking and the knowledge point mastering conditions of the examinee to the output module;
the output module is used for transmitting and displaying the answer conditions, the learning ranking and the knowledge point mastering conditions of the examinees to staff and the examinees.
In one embodiment, the model building subunit comprises a test paper analysis subunit;
the test paper analysis subunit is used for dividing the test paper into a plurality of test paper partitions according to the knowledge point type and obtaining standard score information of each test paper partition;
the model processing unit comprises an answer condition analysis subunit and a knowledge point mastering and analyzing subunit;
the answer condition analysis subunit is used for dividing the answer condition into corresponding test paper partitions according to the knowledge point type, and acquiring actual score information of testees in each test paper partition according to the answer condition;
the knowledge point mastering and analyzing subunit is configured to obtain the knowledge point mastering condition of the examinee according to the standard score information of the test paper partition and the actual score information of the examinee.
In one embodiment, the model processing unit further comprises a score computation subunit, a ranking subunit, and a ranking acquisition subunit, wherein,
the score calculating subunit is used for acquiring score information of the examinee based on the test paper according to the answer condition transmitted by the paper judging module and transmitting the score information to the storage subunit;
the storage subunit is used for storing the score information transmitted by the score calculation subunit, and sequentially sequencing the score information stored in the storage subunit according to the numerical value of the score information;
the ranking obtaining subunit is used for obtaining the learning ranking of the examinee according to the ordering condition of the score information of the examinee in the storage subunit.
In one embodiment, the model processing unit further comprises a score prediction subunit;
the score prediction subunit is configured to obtain the knowledge point grasping condition of the examinee, which is obtained by the knowledge point grasping analysis subunit, and obtain prediction score information of the examinee according to the knowledge point grasping condition; transmitting the prediction score information to the output module;
the output module is used for transmitting and displaying the predictive score information of the examinee to staff and the examinee.
In one embodiment, the system further comprises a storage module;
the storage module is used for storing the answer conditions, the learning ranking and the knowledge point mastering conditions of the examinees acquired by the model analysis module;
the storage module comprises a first processing unit, a distributed management unit and a second processing unit;
the first processing unit is used for transmitting the answer condition, the learning rank and the knowledge point mastering condition of the examinee to the distributed management unit;
the distributed management unit is used for respectively transmitting the answer condition, the learning ranking and the knowledge point mastering condition of the examinee to the corresponding storage areas; obtaining the answer condition, the learning rank and the storage link address of the knowledge point mastering condition;
the second processing unit is used for acquiring the name of the examinee and generating a unique identification code of the examinee according to a preset identification code generation algorithm according to the name of the examinee; establishing a corresponding relation between the unique identification code and the storage link address;
the second processing unit is further configured to receive a query instruction transmitted by the test taker, and obtain a name of the test taker in the query instruction; generating a unique identification code of the examinee according to the name of the examinee and the preset identification code generation algorithm; the storage link address of the answer condition, the learning rank and the knowledge point mastering condition of the examinee is obtained through the corresponding relation between the unique identification code and the storage link address; inquiring answer conditions, learning ranks and knowledge point mastering conditions of the examinees through the storage link address; and transmitting the answer condition, the learning rank and the knowledge point mastering condition of the examinee to the examinee.
In one embodiment, the storage module further comprises a compression processing unit;
the compression processing unit is used for respectively compressing the answer conditions, the learning ranking and the knowledge point mastering conditions in the storage area;
the compression processing unit comprises an extraction subunit, a coding subunit and a compression subunit;
the extraction subunit is used for extracting key data information and description data information of the answer cases, the learning ranks and the knowledge point mastering cases; the coding subunit is further configured to allocate codes to the key data information and the description data information; the compression subunit is used for carrying out compression processing according to codes corresponding to the key data information and the description data information.
A method of coupon analysis reporting, the method comprising:
obtaining answer information of an examinee based on the test paper;
performing examination paper judging processing on the answer information to obtain answer situations of the examinee based on examination papers;
establishing a learning model according to answer conditions of the examinee group;
according to the answer condition, based on the learning model, acquiring learning ranking and knowledge point mastering conditions of the examinee;
and transmitting and displaying the answer conditions, the learning ranking and the knowledge point mastering conditions of the examinee to staff and the examinee.
In one embodiment, the steps are as follows: according to the answer condition of the examinee group, a learning model is established, which comprises the following steps:
dividing the test paper into a plurality of test paper partitions according to the knowledge point type, and obtaining standard score information of each test paper partition;
the method comprises the following steps: according to the answer condition, based on the learning model, acquiring learning ranking and knowledge point mastering conditions of the examinee, including:
dividing the answer cases into corresponding test paper partitions according to the knowledge point types, and acquiring actual score information of test takers in each test paper partition according to the answer cases;
and acquiring the knowledge point mastering condition of the examinee according to the standard score information of the test paper partition and the actual score information of the examinee.
In one embodiment, the number of each knowledge point is i, i=1, 2,3, …, N, and the knowledge point i of the examinee j in the N-1 th examination is P N-1ij If Dij is the interval time from the nth-1 th examination to the nth examination of the knowledge point i of the examinee j, before the nth examinationRaw j grasps theoretical value P of knowledge point i Nij The method comprises the following steps:
Figure BDA0002279950890000041
where e is a natural number.
Considering that the examinee plays due to the influence of the presence factor, a standby error answer is set for each question answer in the knowledge point i, and each standby error answer has a corresponding mastery rate, and the question numbers under the knowledge point i are set to be Q fij F=1, 2,3, …, F is the total number of questions set by knowledge point i, subject j is based on question Q f Knowledge points fed back by the answer condition of (1) are mastered as Q fij The degree P of mastery of knowledge point i by examinee j ij The method comprises the following steps:
Figure BDA0002279950890000051
wherein max (Q) fij ) And min (Q) fij ) Representing the maximum value and the minimum value of the grasping condition of the knowledge points fed back by the test.
According to the theoretical value P Nij And the calculated value P ij The true mastery degree P of the examination j on the knowledge point i is calculated as follows:
Figure BDA0002279950890000052
i.e.
Figure BDA0002279950890000053
Wherein α and β are weight coefficients, both being equal to or greater than 0 and equal to or less than 1, and α+β=1, when n=1, α is 0;
and determining whether misjudgment occurs in the knowledge point mastering situation according to the real mastering degree P.
In one embodiment, the steps are as follows: according to the answer condition, based on the learning model, acquiring learning ranking and knowledge point mastering conditions of the examinee, and further comprising:
according to the answer condition, score information of the examinee based on the test paper is obtained;
storing the acquired score information of the test paper based on the test paper, and sequentially sequencing the stored score information according to the numerical value of the score information;
and acquiring the learning rank of the examinee according to the ordering condition of the score information of the examinee.
In one embodiment, the steps are as follows: according to the answer condition, based on the learning model, acquiring learning ranking and knowledge point mastering conditions of the examinee; and then further comprises:
acquiring prediction score information of the examinee according to the knowledge point mastering condition;
and transmitting the prediction score information to the staff and the examinee.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
FIG. 1 is a schematic diagram of a test paper analysis reporting system according to the present invention;
fig. 2 is a schematic diagram of a test paper analysis reporting method provided by the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides a test paper analysis reporting system, as shown in fig. 1, comprising: the system comprises an acquisition module 11, a judging and rolling module 12, a model analysis module 13 and an output module 14; wherein, the liquid crystal display device comprises a liquid crystal display device,
the acquisition module 11 is used for acquiring answer information of the test paper and transmitting the answer information to the judgment module 12;
the examination paper judging module 12 is used for carrying out examination paper judging processing on the answer information transmitted by the acquisition module 11, acquiring the answer condition of the examinee based on the examination paper, and transmitting the answer condition to the model analysis module 13;
a model analysis module 13 including a model establishing unit 131 and a model processing unit 132; a model building unit 131, configured to build a learning model according to answer situations of the examinee group; the model processing unit 132 is configured to obtain a learning ranking and knowledge point grasping condition of the examinee based on the learning model according to the answer condition transmitted by the judgment module, and transmit the answer condition, the learning ranking and the knowledge point grasping condition of the examinee to the output module 14;
and the output module 14 is used for transmitting and displaying the answer situation, the learning rank and the knowledge point mastering situation of the examinee to the staff and the examinee.
The working principle of the system is as follows: the acquisition module 11 transmits answer information of the test paper to the test paper judging module 12; the examination paper judging module 12 judges the examination paper information transmitted by the acquisition module 11, acquires the examination paper-based examination paper answering situation, and transmits the answering situation to the model analysis module 13; the model establishing unit 131 of the model analysis module 13 establishes a learning model according to answer conditions of the examinee group; the model processing unit 13 obtains learning ranking and knowledge point mastering conditions of the examinee based on the learning model established by the model analysis module 132 according to the answer conditions transmitted by the judgment module 12, and transmits the answer conditions, the learning ranking and the knowledge point mastering conditions of the examinee to the output module 14; the output module 14 transmits and displays the answer situation, the learning rank and the knowledge point grasp situation of the examinee to the staff and the examinee.
The beneficial effect of above-mentioned system lies in: the answer information of the examinee based on the test paper is acquired through the acquisition module; the examination paper judging module is used for realizing examination paper judging processing according to answer information of an examinee and transmitting the answer situation obtained by processing to the model analysis module; the model analysis module is used for acquiring answer cases, learning ranks and knowledge point mastering cases of the examinees, and the acquisition module is used for transmitting the answer cases, the learning ranks and the knowledge point mastering cases to the staff and the examinees, so that the answer cases, the learning ranks and the knowledge point mastering cases of the staff and the examinees are acquired; compared with the prior art, the system not only can realize the examination paper judgment processing, but also can realize the acquisition of answering situations, learning ranking and knowledge point mastering situations of the examinees according to the answering situations of the examinees on the examination paper through the model analysis module.
In a specific embodiment, the population of test takers includes one or more of the same grade, the same subject, the same school, and the same age group.
In one embodiment, the model building subunit comprises a test paper analysis subunit;
the test paper analysis subunit is used for dividing the test paper into a plurality of test paper partitions according to the knowledge point type and acquiring standard score information of each test paper partition;
the model processing unit comprises a answer condition analysis subunit and a knowledge point mastering and analyzing subunit;
the answer condition analysis subunit is used for dividing the answer condition into corresponding test paper partitions according to the knowledge point types and acquiring actual score information of test takers in each test paper partition according to the answer condition;
the knowledge point grasping and analyzing subunit is used for acquiring knowledge point grasping conditions of the test taker according to the standard score information of the test paper partition and the actual score information of the test taker. According to the technical scheme, the examination paper is divided into a plurality of examination paper partitions through the examination paper analysis subunit, and standard score information of each examination paper partition is acquired; the answer condition analysis subunit of the model processing unit divides the answer condition transmitted by the judgment module into corresponding test paper partitions according to the knowledge point type, and acquires actual score information of examinees in each test paper partition according to the answer condition; the knowledge point mastering and analyzing subunit obtains knowledge point mastering conditions of the examinees according to the standard score information of the test paper partition obtained by the answer condition analyzing subunit and the actual score information of the examinees obtained by the answer condition analyzing subunit.
In one embodiment, the model processing unit further comprises a score computation subunit, a ranking subunit, and a ranking acquisition subunit, wherein,
the score calculating subunit is used for acquiring score information of the test paper based on the test paper according to the answer condition transmitted by the test paper judging module and transmitting the score information to the storage subunit;
the storage subunit is used for storing the fraction information transmitted by the fraction calculation subunit, and sequentially sequencing the fraction information stored in the storage subunit according to the numerical value of the fraction information;
the ranking obtaining subunit is used for obtaining the learning ranking of the examinee according to the ordering condition of the score information of the examinee in the storage subunit. According to the technical scheme, the score information of the test paper based on the test paper is obtained by the score calculating subunit of the model processing unit according to the answer situation transmitted by the paper judging module; the storage of the score information and the sorting according to the numerical value of the score information are realized through the storage subunit; and the ranking obtaining subunit is used for obtaining the learning ranking of the examinee according to the ordering condition of the score information of the examinee in the storage subunit.
In one embodiment, the model processing unit further comprises a score prediction subunit;
the score predicting subunit is used for acquiring the knowledge point grasping condition of the examinee, which is acquired by the knowledge point grasping and analyzing subunit, and acquiring the predicted score information of the examinee according to the knowledge point grasping condition; transmitting the prediction score information to an output module;
and the output module is used for transmitting and displaying the predictive score information of the examinee to the staff and the examinee. According to the technical scheme, the score prediction subunit of the model processing unit is used for realizing the prediction of the score of the examinee according to the knowledge point grasping condition of the examinee obtained by the knowledge point grasping analysis subunit and transmitting the obtained prediction score information to the output module; and through the output module, the predicted score information of the examinee is transmitted and displayed to the staff and the examinee, so that the examinee and the staff can acquire the predicted score information of the examinee.
In one embodiment, the system further comprises a storage module;
the storage module is used for storing the answer situation, the learning ranking and the knowledge point mastering situation of the examinee acquired by the model analysis module;
the storage module comprises a first processing unit, a distributed management unit and a second processing unit;
the first processing unit is used for transmitting answer cases, learning ranks and knowledge point mastering cases of the examinees to the distributed management unit;
the distributed management unit is used for respectively transmitting answer cases, learning ranks and knowledge point mastering cases of the examinees to the corresponding storage areas; obtaining the answer condition, the learning rank and the storage link address of knowledge point mastering condition;
the second processing unit is used for acquiring the name of the examinee and generating a unique identification code of the examinee according to a preset identification code generation algorithm according to the name of the examinee; establishing a corresponding relation between the unique identification code and the storage link address;
the second processing unit is also used for receiving the query instruction transmitted by the examinee and acquiring the name of the examinee in the query instruction; generating a unique identification code of the examinee according to a name of the examinee and a preset identification code generation algorithm; the corresponding relation between the unique identification code and the storage link address realizes the acquisition of the storage link address of answering situations, learning ranking and knowledge point mastering situations of the examinee; inquiring answer conditions, learning ranks and knowledge point mastering conditions of the examinees by storing the link addresses; and transmitting the answer condition, the learning rank and the knowledge point mastering condition of the examinee to the examinee. According to the technical scheme, through the distributed management unit, the answer condition, the learning ranking and the knowledge point mastering condition of the examinee are respectively transmitted to the corresponding storage areas, and the storage link addresses of the answer condition, the learning ranking and the knowledge point mastering condition are obtained; the second processing unit is used for obtaining the unique identification code of the examinee; the corresponding relation between the unique identification code and the storage link address is established; when the examinee inquires about answering conditions, learns ranking and knowledge point mastering conditions, the second processing unit acquires names of the examinees in the inquiry instructions according to the transmitted inquiry instructions by transmitting the inquiry instructions to the second processing unit; generating a unique identification code of the examinee according to a name of the examinee and a preset identification code generation algorithm; the corresponding relation between the unique identification code and the storage link address realizes the acquisition of the storage link address of answering situations, learning ranking and knowledge point mastering situations of the examinee; inquiring answer conditions, learning ranks and knowledge point mastering conditions of the examinees by storing the link addresses; and transmitting the answer condition, the learning ranking and the knowledge point mastering condition of the examinee to the examinee, so that the examinee can inquire and acquire the answer condition, the learning ranking and the knowledge point mastering condition.
In one embodiment, the memory module further comprises a compression processing unit;
the compression processing unit is used for respectively compressing answer cases, learning ranks and knowledge point mastering cases in the storage area;
the compression processing unit comprises an extraction subunit, a coding subunit and a compression subunit;
the extraction subunit is used for extracting key data information and description data information of answer situations, learning ranks and knowledge point mastering situations; the coding subunit is also used for distributing codes to the key data information and the description data information; and the compression subunit is used for carrying out compression processing according to codes corresponding to the key data information and the description data information. By the compression processing unit in the technical scheme, the answer conditions, the learning ranking and the knowledge point mastering conditions in the storage area are respectively compressed.
A test paper analysis reporting method, as shown in fig. 2, the method comprises:
obtaining answer information of an examinee based on the test paper;
performing judgment processing on the answer information to obtain an answer condition of an examinee based on the test paper;
establishing a learning model according to answer conditions of the examinee group;
according to the answering situation, based on a learning model, learning ranking and knowledge point mastering situations of the examinee are obtained;
and transmitting and displaying the answering situation, the learning ranking and the knowledge point mastering situation of the examinee to the staff and the examinee.
The working principle of the method is as follows: carrying out judgment processing on answer information of the examinee based on the test paper to obtain the answer condition of the examinee based on the test paper; building a learning model according to answer conditions of the examinee group; according to the answering situation, based on a learning model, learning ranking and knowledge point mastering situations of the examinee are obtained; and transmitting and displaying the answering situation, the learning ranking and the knowledge point mastering situation of the examinee to the staff and the examinee.
The method has the beneficial effects that: the method realizes the acquisition of answer information of the examinee based on the test paper; and the examination paper is judged according to the answer information of the examinee, so that the answer condition is obtained; the method has the advantages that the answer, the learning ranking and the knowledge point mastering conditions of the examinees are obtained through the built learning model and transmitted to the staff and the examinees, so that the answer, the learning ranking and the knowledge point mastering conditions of the staff and the examinees are obtained; compared with the prior art, the method not only can realize the judgment processing of the test paper, but also can realize the acquisition of answering situations, learning ranking and knowledge point mastering situations of the examinee according to the answering situations of the examinee on the test paper.
In one embodiment, the number of each knowledge point is i, i=1, 2,3, …, N, and the knowledge point i of the examinee j in the N-1 th examination is P N-1ij Let Dij be the interval time from the nth-1 th to the nth examination of the knowledge point i of the examinee j, and according to the Egnotor forgetting curve, the examinee j grasps the theoretical value P of the knowledge point i before the nth examination Nij The method comprises the following steps:
Figure BDA0002279950890000111
where e is a natural number.
Considering that the examinee may exert the effect due to the presence factor, a possible standby error answer is set for each answer of the questions in the knowledge point i, and each standby error answer has a corresponding mastery rate, for example, the standard answer is 10000, and under the condition that the examination writes 0 by great meaning and determines that no other algorithm can obtain 1000, the examination can be considered to master 90% of the knowledge point. Let the topic number under knowledge point i be Q fij F=1, 2,3, …, F is the total number of questions set by knowledge point i, subject j is based on question Q f Knowledge points fed back by the answer condition of (1) are mastered as Q fij From the current examinee's answer, the examinee j grasps the knowledge point i to a degree P ij The method comprises the following steps:
Figure BDA0002279950890000121
wherein max (Q) fij ) And min (Q) fij ) Representing the maximum value and the minimum value of the grasping condition of the knowledge point i fed back by the test.
According to the theoretical value P Nij And the calculated value P ij The true mastery degree P of the examination j on the knowledge point i is calculated as follows:
Figure BDA0002279950890000122
i.e.
Figure BDA0002279950890000123
Wherein α and β are weight coefficients, both being equal to or greater than 0 and equal to or less than 1, and α+β=1. When n=1, α is 0;
and determining whether misjudgment occurs in the knowledge point mastering situation according to the real mastering degree P.
Because the test taker may influence the answer questions due to various conditions, such as writing correct answers into wrong answers by pen errors, or because the answer questions are wrong due to careless writing of a certain calculation missing decimal point and the like, if the mastering condition of the knowledge points of the test is judged by comparing the standard score information of the test with the actual score information of the test taker, erroneous judgment may be caused, so that the judgment on the mastering condition of the knowledge points of the test taker needs to be judged again according to the algorithm, whether the erroneous judgment on the mastering condition of the knowledge points of the test taker occurs is determined, and the judgment accuracy of the mastering condition of the knowledge points of the test taker is improved.
In one embodiment, the steps of: according to the answer condition of the examinee group, a learning model is established, which comprises the following steps:
dividing the test paper into a plurality of test paper partitions according to the knowledge point types, and acquiring standard score information of each test paper partition;
the steps are as follows: according to the answering situation, based on a learning model, learning ranking and knowledge point mastering situations of the examinee are obtained, and the method comprises the following steps:
dividing answer cases into corresponding test paper partitions according to the knowledge point types, and acquiring actual score information of testers in each test paper partition according to the answer cases;
and acquiring knowledge point grasp conditions of the examinee according to the standard score information of the examination paper partition and the actual score information of the examinee. According to the technical scheme, according to the knowledge point type, the test paper is divided into a plurality of test paper partitions, and standard score information of each test paper partition is acquired; dividing the transmitted answer cases into corresponding test paper partitions according to the knowledge point types, and acquiring actual score information of examinees in each test paper partition according to the answer cases; and according to the standard score information of the acquired test paper partition and the acquired actual score information of the examinee, knowledge points of the examinee are acquired.
In one embodiment, the steps of: according to the answer condition, based on the learning model, learning rank and knowledge point mastering condition of the examinee are obtained, and the method further comprises the following steps:
according to the answer question condition, obtaining score information of an examinee based on the test paper;
storing the acquired score information of the test paper based on the test paper, and sequentially sequencing the stored score information according to the numerical value of the score information;
and acquiring learning ranking of the examinees according to the ordering condition of the score information of the examinees. According to the technical scheme, the score information of the test paper based on the examinee is obtained according to the transmitted answer situation; storing the obtained score information, and sorting according to the numerical value of the stored score information; according to the sorting condition of score information of the examinees, learning rank of the examinees is obtained.
In one embodiment, the steps of: according to the answering situation, based on a learning model, learning ranking and knowledge point mastering situations of the examinee are obtained; and then further comprises:
acquiring prediction score information of the examinee according to knowledge point mastering conditions;
and transmitting the prediction score information to staff and examinees. According to the technical scheme, scores of the examinees are predicted according to the acquired knowledge points of the examinees, and the acquired prediction score information is transmitted to staff and the examinees, so that the examinees and the staff acquire the prediction score information of the examinees.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (7)

1. A test paper analysis reporting system, comprising: the system comprises an acquisition module, a judging module, a model analysis module and an output module; wherein, the liquid crystal display device comprises a liquid crystal display device,
the acquisition module is used for acquiring answer information of the test paper based by the examinee and transmitting the answer information to the paper judging module;
the examination paper judging module is used for carrying out examination paper judging processing on the answer information transmitted by the acquisition module, acquiring answer cases of test paper-based testers and transmitting the answer cases to the model analysis module;
the model analysis module comprises a model establishment unit and a model processing unit; the model building unit is used for building a learning model according to answer conditions of the examinee group; the model processing unit is used for acquiring the learning ranking and knowledge point mastering conditions of the examinee based on the learning model according to the answer conditions transmitted by the paper judging module, and transmitting the answer conditions, the learning ranking and the knowledge point mastering conditions of the examinee to the output module;
the output module is used for transmitting and displaying the answer conditions, the learning ranking and the knowledge point mastering conditions of the examinees to staff and the examinees;
the model building unit comprises a test paper analysis subunit;
the test paper analysis subunit is used for dividing the test paper into a plurality of test paper partitions according to the knowledge point type and obtaining standard score information of each test paper partition;
the model processing unit comprises an answer condition analysis subunit and a knowledge point mastering and analyzing subunit;
the answer condition analysis subunit is used for dividing the answer condition into corresponding test paper partitions according to the knowledge point type, and acquiring actual score information of testees in each test paper partition according to the answer condition;
the knowledge point mastering and analyzing subunit is used for acquiring the knowledge point mastering condition of the examinee according to the standard score information of the test paper partition and the actual score information of the examinee;
the system further comprises:
let the number of each knowledge point be i, i=1, 2,3, …, n, j is the firstThe knowledge point i is mastered under the condition P in N-1 exams N-1ij Let D ij The theoretical value of the knowledge point i is mastered by the examinee j before the nth examination when the knowledge point i of the examinee j is in the interval time from the (N-1) th examination to the nth examination
Figure QLYQS_1
The method comprises the following steps:
Figure QLYQS_2
；
wherein e is a natural number;
considering that the examinee plays due to the influence of the presence factor, a standby error answer is set for each question answer in the knowledge point i, and each standby error answer has a corresponding mastery rate, and the question numbers under the knowledge point i are set to be Q fij F=1, 2,3, …, F is the total number of questions set by knowledge point i, subject j is based on question Q f Knowledge points fed back by the answer condition of (1) are mastered as Q fij The degree of mastery of the knowledge point i by the examinee j
Figure QLYQS_3
The method comprises the following steps:
Figure QLYQS_4
；
wherein the method comprises the steps of
Figure QLYQS_5
And->
Figure QLYQS_6
Respectively representing the maximum value and the minimum value of the mastery condition of the knowledge points fed back by the test;
according to theoretical values
Figure QLYQS_7
And the calculated value->
Figure QLYQS_8
The true mastery degree P of the examination j on the knowledge point i is calculated as follows:
Figure QLYQS_9
；
i.e.
Figure QLYQS_10
；
Wherein the method comprises the steps of
Figure QLYQS_11
And->
Figure QLYQS_12
Is a weight coefficient, which is equal to or more than 0 and equal to or less than 1, and +.>
Figure QLYQS_13
When n=1, the ++>
Figure QLYQS_14
Is 0;
and determining whether misjudgment occurs in the knowledge point mastering situation according to the real mastering degree P.
2. The system of claim 1, wherein,
the model processing unit also comprises a score calculating subunit, a storage subunit and a ranking obtaining subunit, wherein,
the score calculating subunit is used for acquiring score information of the examinee based on the test paper according to the answer condition transmitted by the paper judging module and transmitting the score information to the storage subunit;
the storage subunit is used for storing the score information transmitted by the score calculation subunit, and sequentially sequencing the score information stored in the storage subunit according to the numerical value of the score information;
the ranking obtaining subunit is used for obtaining the learning ranking of the examinee according to the ordering condition of the score information of the examinee in the storage subunit.
3. The system of claim 1, wherein,
the model processing unit further comprises a fraction prediction subunit;
the score prediction subunit is configured to obtain the knowledge point grasping condition of the examinee, which is obtained by the knowledge point grasping analysis subunit, and obtain prediction score information of the examinee according to the knowledge point grasping condition; transmitting the prediction score information to the output module;
the output module is used for transmitting and displaying the predictive score information of the examinee to staff and the examinee.
4. The system of claim 1, wherein,
the system also comprises a storage module;
the storage module is used for storing the answer conditions, the learning ranking and the knowledge point mastering conditions of the examinees acquired by the model analysis module;
the storage module comprises a first processing unit, a distributed management unit and a second processing unit;
the first processing unit is used for transmitting the answer condition, the learning rank and the knowledge point mastering condition of the examinee to the distributed management unit;
the distributed management unit is used for respectively transmitting the answer condition, the learning ranking and the knowledge point mastering condition of the examinee to the corresponding storage areas; obtaining the answer condition, the learning rank and the storage link address of the knowledge point mastering condition;
the second processing unit is used for acquiring the name of the examinee and generating a unique identification code of the examinee according to a preset identification code generation algorithm according to the name of the examinee; establishing a corresponding relation between the unique identification code and the storage link address;
the second processing unit is further configured to receive a query instruction transmitted by the test taker, and obtain a name of the test taker in the query instruction; generating a unique identification code of the examinee according to the name of the examinee and the preset identification code generation algorithm; the storage link address of the answer condition, the learning rank and the knowledge point mastering condition of the examinee is obtained through the corresponding relation between the unique identification code and the storage link address; inquiring answer conditions, learning ranks and knowledge point mastering conditions of the examinees through the storage link address; and transmitting the answer condition, the learning rank and the knowledge point mastering condition of the examinee to the examinee.
5. The system of claim 4, wherein,
the storage module further comprises a compression processing unit;
the compression processing unit is used for respectively compressing the answer conditions, the learning ranking and the knowledge point mastering conditions in the storage area;
the compression processing unit comprises an extraction subunit, a coding subunit and a compression subunit;
the extraction subunit is used for extracting key data information and description data information of the answer cases, the learning ranks and the knowledge point mastering cases; the coding subunit is further configured to allocate codes to the key data information and the description data information; the compression subunit is used for carrying out compression processing according to codes corresponding to the key data information and the description data information.
6. A method of coupon analysis reporting, the method comprising:
obtaining answer information of an examinee based on the test paper;
performing examination paper judging processing on the answer information to obtain answer situations of the examinee based on examination papers;
establishing a learning model according to answer conditions of the examinee group;
according to the answer condition, based on the learning model, acquiring learning ranking and knowledge point mastering conditions of the examinee;
transmitting and displaying the answer condition, the learning rank and the knowledge point mastering condition of the examinee to staff and the examinee;
according to the answer condition of the examinee group, a learning model is established, which comprises the following steps:
dividing the test paper into a plurality of test paper partitions according to the knowledge point type, and obtaining standard score information of each test paper partition;
according to the answer condition, based on the learning model, acquiring learning ranking and knowledge point mastering conditions of the examinee, including:
dividing the answer cases into corresponding test paper partitions according to the knowledge point types, and acquiring actual score information of test takers in each test paper partition according to the answer cases;
acquiring the knowledge point mastering condition of the examinee according to the standard score information of the test paper partition and the actual score information of the examinee;
the method further comprises the steps of: let the number of each knowledge point be i, i=1, 2,3, …, N, and the knowledge point i of the examinee j in the N-1 th examination is grasped as P N-1ij Let D ij The theoretical value of the knowledge point i is mastered by the examinee j before the nth examination when the knowledge point i of the examinee j is in the interval time from the (N-1) th examination to the nth examination
Figure QLYQS_15
The method comprises the following steps:
Figure QLYQS_16
；
wherein e is a natural number;
consider that the examinee is due to the factors of presenceThe answer of each question in the knowledge point i is set with a spare error answer, and each spare error answer has a corresponding mastery rate, and the question number under the knowledge point i is set as Q fij F=1, 2,3, …, F is the total number of questions set by knowledge point i, subject j is based on question Q f Knowledge points fed back by the answer condition of (1) are mastered as Q fij The degree of mastery of the knowledge point i by the examinee j
Figure QLYQS_17
The method comprises the following steps:
Figure QLYQS_18
；
wherein the method comprises the steps of
Figure QLYQS_19
And->
Figure QLYQS_20
Respectively representing the maximum value and the minimum value of the mastery condition of the knowledge points fed back by the test;
according to theoretical values
Figure QLYQS_21
And the calculated value->
Figure QLYQS_22
The true mastery degree P of the examination j on the knowledge point i is calculated as follows:
Figure QLYQS_23
；
i.e.
Figure QLYQS_24
；
Wherein the method comprises the steps of
Figure QLYQS_25
And->
Figure QLYQS_26
Is a weight coefficient, which is equal to or more than 0 and equal to or less than 1, and +.>
Figure QLYQS_27
When n=1, the ++>
Figure QLYQS_28
Is 0;
and determining whether misjudgment occurs in the knowledge point mastering situation according to the real mastering degree P.
7. The method of claim 6, wherein,
according to the answer condition, based on the learning model, acquiring learning ranking and knowledge point mastering conditions of the examinee, and further comprising:
according to the answer condition, score information of the examinee based on the test paper is obtained;
storing the acquired score information of the test paper based on the test paper, and sequentially sequencing the stored score information according to the numerical value of the score information;
and acquiring the learning rank of the examinee according to the ordering condition of the score information of the examinee.
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