CN113537717A - Test paper analysis method and device, electronic equipment and storage medium - Google Patents
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Abstract
The invention discloses a test paper analysis method, a test paper analysis device, electronic equipment and a storage medium, wherein the method comprises the steps of constructing a test question evaluation dimension table; obtaining subjective evaluation information of the examinee on the test questions and the test paper; filling the subjective evaluation information into the test question evaluation dimension table; vectorizing the data in the test question evaluation dimension table to obtain an evaluation data vector; and determining the analysis result of the test paper according to the evaluation data vector. The invention combines the subjective evaluation of the examinee on the test paper and the objective evaluation of the examination result of the examinee, can obtain more accurate test paper analysis result, and can be widely applied to the technical field of data analysis.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a test paper analysis method and device, electronic equipment and a storage medium.
Background
As more and more people take various examinations, different test paper contents are also more and more. Therefore, how to reasonably consider various factors such as difficulty, examination range, question amount, etc. to set up the test paper becomes important for the proposition worker and the examinee. However, currently, researchers in education-related works focus on analyzing objective analysis based on scores for evaluation of examination papers, and lack of analysis based on subjective evaluation of examination questions by examinees, so that quality of all aspects of one examination paper cannot be accurately measured.
Disclosure of Invention
In view of this, embodiments of the present invention provide a test paper analysis method, device, electronic device, and storage medium, so as to combine subjective evaluation of an examinee and objective performance of the examinee to obtain a more accurate test paper analysis result.
One aspect of the present invention provides a test paper analysis method, including:
constructing a test question evaluation dimension table;
obtaining subjective evaluation information of the examinee on the test questions and the test paper;
filling the subjective evaluation information into the test question evaluation dimension table;
vectorizing the data in the test question evaluation dimension table to obtain an evaluation data vector;
and determining the analysis result of the test paper according to the evaluation data vector.
Optionally, the constructing of the test question evaluation dimension table includes:
determining the number of evaluation dimensions of the test questions and the number of evaluation dimensions of the test paper;
constructing a test question evaluation dimension table according to the number of the evaluation dimensions of the test questions and the number of the evaluation dimensions of the test paper;
the evaluation dimensionality of the test questions comprises difficulty degree, common degree, assessment capacity, examination range and time consumption degree;
the evaluation dimensionality of the test paper comprises difficulty distribution, knowledge coverage, innovation degree, question type setting and question amount control.
Optionally, the vectorizing the data in the test question evaluation dimension table to obtain an evaluation data vector includes:
carrying out first vector quantization processing on the test question evaluation data in the test question evaluation dimension table to obtain an evaluation data vector of each test question;
performing second directional quantization processing according to the test paper evaluation data in the test question evaluation dimension table and the evaluation data vector of each test question to obtain the evaluation data vector of the test paper;
the calculation formula of the evaluation data vector of the test paper is as follows:
wherein S represents the total score of the test paper; omegaiA score representing the ith question; v. ofiAn evaluation data vector representing the ith question; v. of0' denotes an evaluation data vector of the entire test sheet.
Optionally, the determining an analysis result of the test paper according to the evaluation data vector includes:
comparing the evaluation data vector of each test question with the evaluation data vector of the test paper, and determining an offset value between the evaluation data vector of each test question and the evaluation data vector of the test paper;
and determining the effectiveness of the evaluation data vector according to the deviation value.
Optionally, the determining an analysis result of the test paper according to the evaluation data vector further includes:
constructing radar maps of all the test questions and radar maps of the test paper according to the evaluation data vectors;
and screening data according to the radar map of each test question and the radar map of the test paper.
Optionally, the method further comprises the steps of:
calculating the sum of first elements of the evaluation data vectors of all the test questions;
calculating the sum of second elements of the evaluation data vector of the test paper;
determining the deviation value according to the difference value between the sum of the first elements and the sum of the second elements;
wherein, the calculation formula of the sum of the first elements is as follows:
wherein x represents the sum of the first elements; x is the number ofiAn evaluation data vector representing the ith test question; n stands for questions of the test questionAnd (4) total number.
Another aspect of an embodiment of the present invention provides a test paper analysis apparatus, including:
the first module is used for constructing a test question evaluation dimension table;
the second module is used for acquiring subjective evaluation information of the examinee on the test questions and the test paper;
the third module is used for filling the subjective evaluation information into the test question evaluation dimension table;
the fourth module is used for vectorizing the data in the test question evaluation dimension table to obtain an evaluation data vector;
and the fifth module is used for determining the analysis result of the test paper according to the evaluation data vector.
Another aspect of the embodiments of the present invention provides an electronic device, including a processor and a memory;
the memory is used for storing programs;
the processor executes the program to implement the method as described above.
Another aspect of the embodiments of the present invention provides a computer-readable storage medium storing a program, the program being executed by a processor to implement the method as described above.
The embodiment of the invention also discloses a computer program product or a computer program, which comprises computer instructions, and the computer instructions are stored in a computer readable storage medium. The computer instructions may be read by a processor of a computer device from a computer-readable storage medium, and the computer instructions executed by the processor cause the computer device to perform the foregoing method.
The embodiment of the invention firstly constructs a test question evaluation dimension table; then obtaining subjective evaluation information of the examinee on the test questions and the test paper; filling the subjective evaluation information into the test question evaluation dimension table; vectorizing the data in the test question evaluation dimension table to obtain an evaluation data vector; and finally, determining the analysis result of the test paper according to the evaluation data vector. The invention combines the subjective evaluation of the examinee on the test paper and the objective evaluation of the examination result of the examinee, and can obtain a more accurate test paper analysis result.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flowchart illustrating the overall steps provided by an embodiment of the present invention;
FIG. 2 is a flowchart of an algorithm for processing evaluation data of a single question to obtain evaluation data of a whole test paper according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a radar provided by an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In view of the problems in the prior art, an embodiment of the present invention provides a test paper analysis method, including:
constructing a test question evaluation dimension table;
obtaining subjective evaluation information of the examinee on the test questions and the test paper;
filling the subjective evaluation information into the test question evaluation dimension table;
vectorizing the data in the test question evaluation dimension table to obtain an evaluation data vector;
and determining the analysis result of the test paper according to the evaluation data vector.
Optionally, the constructing of the test question evaluation dimension table includes:
determining the number of evaluation dimensions of the test questions and the number of evaluation dimensions of the test paper;
constructing a test question evaluation dimension table according to the number of the evaluation dimensions of the test questions and the number of the evaluation dimensions of the test paper;
the evaluation dimensionality of the test questions comprises difficulty degree, common degree, assessment capacity, examination range and time consumption degree;
the evaluation dimensionality of the test paper comprises difficulty distribution, knowledge coverage, innovation degree, question type setting and question amount control.
Optionally, the vectorizing the data in the test question evaluation dimension table to obtain an evaluation data vector includes:
carrying out first vector quantization processing on the test question evaluation data in the test question evaluation dimension table to obtain an evaluation data vector of each test question;
performing second directional quantization processing according to the test paper evaluation data in the test question evaluation dimension table and the evaluation data vector of each test question to obtain the evaluation data vector of the test paper;
the calculation formula of the evaluation data vector of the test paper is as follows:
wherein S represents the total score of the test paper; omegaiA score representing the ith question; v. ofiAn evaluation data vector representing the ith question; v. of0' denotes an evaluation data vector of the entire test sheet.
Optionally, the determining an analysis result of the test paper according to the evaluation data vector includes:
comparing the evaluation data vector of each test question with the evaluation data vector of the test paper, and determining an offset value between the evaluation data vector of each test question and the evaluation data vector of the test paper;
and determining the effectiveness of the evaluation data vector according to the deviation value.
Optionally, the determining an analysis result of the test paper according to the evaluation data vector further includes:
constructing radar maps of all the test questions and radar maps of the test paper according to the evaluation data vectors;
and screening data according to the radar map of each test question and the radar map of the test paper.
Optionally, the method further comprises the steps of:
calculating the sum of first elements of the evaluation data vectors of all the test questions;
calculating the sum of second elements of the evaluation data vector of the test paper;
determining the deviation value according to the difference value between the sum of the first elements and the sum of the second elements;
wherein, the calculation formula of the sum of the first elements is as follows:
wherein x represents the sum of the first elements; x is the number ofiAn evaluation data vector representing the ith test question; n represents the total number of questions of the test question.
Another aspect of an embodiment of the present invention provides a test paper analysis apparatus, including:
the first module is used for constructing a test question evaluation dimension table;
the second module is used for acquiring subjective evaluation information of the examinee on the test questions and the test paper;
the third module is used for filling the subjective evaluation information into the test question evaluation dimension table;
the fourth module is used for vectorizing the data in the test question evaluation dimension table to obtain an evaluation data vector;
and the fifth module is used for determining the analysis result of the test paper according to the evaluation data vector.
Another aspect of the embodiments of the present invention provides an electronic device, including a processor and a memory;
the memory is used for storing programs;
the processor executes the program to implement the method as described above.
Another aspect of the embodiments of the present invention provides a computer-readable storage medium storing a program, the program being executed by a processor to implement the method as described above.
The embodiment of the invention also discloses a computer program product or a computer program, which comprises computer instructions, and the computer instructions are stored in a computer readable storage medium. The computer instructions may be read by a processor of a computer device from a computer-readable storage medium, and the computer instructions executed by the processor cause the computer device to perform the foregoing method.
The following describes the implementation principle of the present invention in detail with reference to the drawings of the specification, and a test paper analysis method based on subjective evaluation and objective performance of test questions is shown in fig. 1, and the method includes the following steps:
1) and designing evaluation dimensions and evaluation forms of the test questions and the test papers.
i. The evaluation table of the evaluation data for each question is shown in table 1:
TABLE 1
The evaluation data for the entire test paper is shown in table 2:
TABLE 2
In table 1 and table 2, each of the evaluation dimensions of the questions and the evaluation dimension of the entire test paper includes five dimensions, and each evaluation dimension is divided into five linear levels. The examinees who participate in the questionnaire select the corresponding hierarchy according to their own subjective recognition. If necessary, a dimension evaluation standard can be drawn up, and the examinees who participate in the questionnaire can complete the questionnaire by referring to the evaluation standard and combining subjective knowledge of the examinees.
2) Obtaining evaluation data, namely inviting examinees who answer the test paper to be evaluated to participate in questionnaire survey to obtain original evaluation data; the raw evaluation data includes evaluation data for each question and evaluation data for the entire test sheet.
The embodiment can invite the examinees taking the examination to evaluate the examination questions and the examination papers;
the content of the evaluation includes two: 1) evaluating each question in a questionnaire survey mode; 2) and the overall evaluation of the test paper is carried out in the same manner as 1).
3) And processing the evaluation data, wherein the processing comprises two steps of 4) and 5).
4) Imaging the evaluation data, wherein the imaging mode adopts a radar map; in the step, the data is imaged to obtain a radar map of each question and a radar map of the whole test paper;
the purpose of step 4) is to facilitate the comparison of the differences between the data.
5) To obtain a whole volume evaluation data vector v on a per-topic basis0′＝[x1,x2,x3,x4,x5]TThe algorithm adopted in the invention has the following core formula;
wherein S represents the total score, omega, of the test paperiScore, v, representing the ith questioniAn evaluation data vector representing the ith question; v. of0' evaluation data vector representing the whole test paper;
and obtaining an evaluation data vector of the whole test paper based on the evaluation data of each question after processing through the above calculation formula.
6) Will be at the topEvaluation results of the entire test paper obtained in the two ways (i.e., v)0＝[x1,x2,x3,x4,x5]TAnd v0′＝[x1,x2,x3,x4,x5]T) And comparing, and if the average score difference value of the two is within a certain range, determining that the data has a certain reference value.
The algorithm idea of processing the evaluation data aiming at a single question to obtain the evaluation data of the whole test paper in the embodiment of the invention is as follows:
1) let the evaluation data of each question be a vector vi＝[x1,x2,x3,x4,x5]TThe evaluation data of the whole test paper is vector v0＝[x1,x2,x3,x4,x5]T；
2) V. the0′＝[x1,x2,x3,x4,x5]TThe evaluation data vector of the whole test paper is obtained based on the evaluation data of each question; to obtain v0', calculated using the following formula;
wherein S represents the total score, omega, of the test paperiScore, v, representing the ith questioniAn evaluation data vector representing the ith question; v. of0' evaluation data vector representing the whole test paper;
v is processed by the above calculation formulaiThen, an evaluation data vector v of the whole test paper based on the evaluation data of each question is obtained0'. V is to be0＝[x1,x2,x3,x4,x5]TAnd v0′＝[x1,x2,x3,x4,x5]TComparing according to formula
Obtaining the sum of the elements of the two vectors, if the difference value of the two vectors is within a certain range, determining that the data is valid data and has the reference value in the invention;
in addition, a radar map of each question and the whole test paper is obtained according to the evaluation data, and the purpose of the radar map is to easily compare and eliminate unreasonable data and directly discard the sample data. A schematic of a radar map can be seen in fig. 3.
Processing the evaluation data of each question through the algorithm in the invention to obtain the evaluation data vector v of the whole test paper0′＝[x1,x2,x3,x4,x5]TAnd v0＝[x1,x2,x3,x4,x5]TRadar maps can also be formed for comparison;
through the steps, some v with reference value are obtained0′＝[x1,x2,...,xn-1,xn]TAnd v0＝[x1,x2,...,xn-1,xn]T。
Through the steps, some v with reference value are obtained0′＝[x1,x2,...,xn-1,xn]TAnd v0＝[x1,x2,...,xn-1,xn]T。
From the analysis of evaluation results, the larger the value of a certain dimension of a set of test paper is, the more excellent the attribute value is; from a global perspective, a good quality test paper should be balanced in dimensions and have high attribute values.
In this embodiment, the evaluation data is vectorized, and the evaluation data of each question or the entire test paper is a multidimensional vector.
In summary, according to the analysis of the evaluation results, the larger the value of a certain dimension of a set of test paper is, the more excellent the attribute value is; from a global perspective, a good quality test paper should be balanced in dimensions and have high attribute values.
At present, education researchers generally obtain the quality of examination questions and examination papers by analyzing the score data of examinees, and then form an evaluation on one examination paper. That is, speaking with data, i.e., the existing evaluation method, is very objective, because the score data of the examinee is the only analysis basis source. However, in the present invention, the examination questions and the examination papers are evaluated in another way, that is, the examination questions and the examination papers are evaluated by collecting the subjective evaluation of the examination questions and the examination papers by the examinees and then performing a certain analysis process on the evaluation data.
In the implementation process of the invention, some v with reference value are obtained by analyzing the evaluation data of the reference examinee on the examination paper of the examination0'＝[x1,x2,...,xn-1,xn]TAnd v0＝[x1,x2,...,xn-1,xn]TThe values of the elements of these vectors correspond to the evaluation dimensions, which reflect the subjective opinion of the test taker on the test paper. Therefore, by combining with the examination score of the examinee, some expected and actual differences of the examination paper can be reflected. This gap can provide a reference for proposition workers; the proposition person combines the above-mentioned difference and several factors, so as to develop a set of test paper with more excellent quality in every aspect.
In alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Furthermore, the embodiments presented and described in the flow charts of the present invention are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and in which sub-operations described as part of larger operations are performed independently.
Furthermore, although the present invention is described in the context of functional modules, it should be understood that, unless otherwise stated to the contrary, one or more of the described functions and/or features may be integrated in a single physical device and/or software module, or one or more functions and/or features may be implemented in a separate physical device or software module. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary for an understanding of the present invention. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be understood within the ordinary skill of an engineer, given the nature, function, and internal relationship of the modules. Accordingly, those skilled in the art can, using ordinary skill, practice the invention as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative of and not intended to limit the scope of the invention, which is defined by the appended claims and their full scope of equivalents.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. A test paper analysis method, comprising:
constructing a test question evaluation dimension table;
obtaining subjective evaluation information of the examinee on the test questions and the test paper;
filling the subjective evaluation information into the test question evaluation dimension table;
vectorizing the data in the test question evaluation dimension table to obtain an evaluation data vector;
and determining the analysis result of the test paper according to the evaluation data vector.
2. The test paper analysis method of claim 1, wherein the constructing of the test question evaluation dimension table comprises:
determining the number of evaluation dimensions of the test questions and the number of evaluation dimensions of the test paper;
constructing a test question evaluation dimension table according to the number of the evaluation dimensions of the test questions and the number of the evaluation dimensions of the test paper;
the evaluation dimensionality of the test questions comprises difficulty degree, common degree, assessment capacity, examination range and time consumption degree;
the evaluation dimensionality of the test paper comprises difficulty distribution, knowledge coverage, innovation degree, question type setting and question amount control.
3. The test paper analysis method of claim 1, wherein the vectorizing the data in the test question evaluation dimension table to obtain an evaluation data vector comprises:
carrying out first vector quantization processing on the test question evaluation data in the test question evaluation dimension table to obtain an evaluation data vector of each test question;
performing second directional quantization processing according to the test paper evaluation data in the test question evaluation dimension table and the evaluation data vector of each test question to obtain the evaluation data vector of the test paper;
the calculation formula of the evaluation data vector of the test paper is as follows:
wherein S represents the total score of the test paper; omegaiA score representing the ith question; v. ofiAn evaluation data vector representing the ith question; v. of0' denotes an evaluation data vector of the entire test sheet.
4. The test paper analysis method according to claim 3, wherein the determining the analysis result of the test paper according to the evaluation data vector comprises:
comparing the evaluation data vector of each test question with the evaluation data vector of the test paper, and determining an offset value between the evaluation data vector of each test question and the evaluation data vector of the test paper;
and determining the effectiveness of the evaluation data vector according to the deviation value.
5. The test paper analysis method according to claim 4, wherein the determining an analysis result of the test paper according to the evaluation data vector further comprises:
constructing radar maps of all the test questions and radar maps of the test paper according to the evaluation data vectors;
and screening data according to the radar map of each test question and the radar map of the test paper.
6. The test paper analysis method according to claim 5, further comprising the steps of:
calculating the sum of first elements of the evaluation data vectors of all the test questions;
calculating the sum of second elements of the evaluation data vector of the test paper;
determining the deviation value according to the difference value between the sum of the first elements and the sum of the second elements;
wherein, the calculation formula of the sum of the first elements is as follows:
wherein x represents the sum of the first elements; x is the number ofiAn evaluation data vector representing the ith test question; n represents the total number of questions of the test question.
7. A test paper analysis apparatus, comprising:
the first module is used for constructing a test question evaluation dimension table;
the second module is used for acquiring subjective evaluation information of the examinee on the test questions and the test paper;
the third module is used for filling the subjective evaluation information into the test question evaluation dimension table;
the fourth module is used for vectorizing the data in the test question evaluation dimension table to obtain an evaluation data vector;
and the fifth module is used for determining the analysis result of the test paper according to the evaluation data vector.
8. An electronic device comprising a processor and a memory;
the memory is used for storing programs;
the processor executing the program realizes the method of any one of claims 1-6.
9. A computer-readable storage medium, characterized in that the storage medium stores a program, which is executed by a processor to implement the method according to any one of claims 1-6.
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