CN113535935A - Method, apparatus, device and medium for volume grouping based on importance degree and priority - Google Patents
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Abstract
The invention discloses a method, a device, equipment and a medium for volume group based on importance degree and priority, wherein the method comprises the following steps: acquiring personal information and test question bank information of a target student; acquiring target test paper information, and performing knowledge point layout according to the target test paper information to obtain a basic test paper template; determining the importance degree of each question in the test paper according to the question bank information and the information of the knowledge point layout; determining the priority of each question in the test paper according to the personal information of the target student and the question bank information; calculating an alternative question bank of each question number according to the importance degree and the priority of each question; and filling the target test paper according to the alternative question bank of each question number to finish the paper assembling process. The invention can improve the volume-forming efficiency, can consider the individual difference of the learning abilities of different students when forming volumes, and can be widely applied to the technical field of data processing.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a volume assembling method, device, equipment and medium based on importance degree and priority.
Background
Before a large-scale examination comes, students often lay a cushion for own knowledge level through pre-examination simulation papers, the simulation papers are generally obtained by long-time screening from a test question bank by teachers, the manual paper organizing method consumes a large amount of manpower, the existing automatic paper organizing method on the market generally adopts a strategy based on simple rules, for example, the paper organizing is randomly carried out according to artificially set test question difficulty, the rationality of each question at the position of the test paper is not considered in the method, meanwhile, the paper organizing mode does not consider the individual difference of the learning ability of the students, and the students cannot learn the knowledge points which are not mastered in a targeted manner.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, a device, and a medium for volume grouping based on importance and priority, so as to improve volume grouping efficiency and consider personalized differences in learning abilities of different students when grouping volumes.
One aspect of the present invention provides a volume group method based on importance and priority, including:
acquiring personal information and test question library information of a target student, wherein the test question library information of the target student comprises wrong answer test questions and unanswered test questions of the target student;
acquiring target test paper information, and performing knowledge point layout according to the target test paper information to obtain a basic test paper template;
determining the importance degree of each question in the test paper according to the question bank information and the information of the knowledge point layout;
determining the priority of each question in the test paper according to the personal information of the target student and the question bank information;
calculating an alternative question bank of each question number according to the importance degree and the priority of each question;
and filling the target test paper according to the alternative question bank of each question number to finish the paper assembling process.
Optionally, the obtaining of the target test paper information and the knowledge point layout according to the target test paper information to obtain a basic test paper template includes:
acquiring target test paper information, wherein the target test paper information comprises the score setting of each question type in the target test paper, the number of questions of each question type and the knowledge point range related to each subject;
constructing a question amount matrix according to the average question amount of each knowledge point in different question types of each test paper;
calculating a question distribution matrix of each knowledge point related to the target test paper according to the question amount matrix;
and carrying out knowledge point layout according to the question distribution matrix to obtain a basic test paper template.
Optionally, the obtaining target test paper information, and performing knowledge point layout according to the target test paper information to obtain a basic test paper template further includes:
when the number of the questions of each knowledge point of the current question type is judged to be less than the preset number according to the question distribution matrix, acquiring score vectors of the target students at the knowledge points, average score vectors at the knowledge points and score difference vectors according to historical answer records of the target students;
and determining the newly added knowledge point topics according to the score vector, the average score vector and the score difference vector.
Optionally, the determining the importance degree of each question in the test paper according to the question bank information and the information of the knowledge point layout includes:
acquiring the occurrence frequency of the knowledge points at different positions of the test paper according to the test question bank information and the information of the knowledge point layout;
obtaining the ratio of the score of the target question to the score of the question under the same question type;
acquiring the occurrence frequency of the target position of the question in different test papers;
and determining the importance degree of each question in the test paper according to the occurrence frequency, the ratio and the occurrence times.
Optionally, the determining the importance degree of each question in the test paper according to the question bank information and the information of the knowledge point layout further includes:
calculating the importance degree of the knowledge points in different question numbers according to the information of the layout of each knowledge point;
calculating an importance degree set of each question in different question numbers according to the importance degree of each knowledge point in different question numbers and the question information of each question number;
the calculation formula of the importance degree of the knowledge points in different question numbers is as follows:
wherein, IKk，i，tThe importance degree of the knowledge point k with the topic number i and the topic type t is shown; kork，i，tThe probability of occurrence of a knowledge point k with the topic number i and the topic type t is shown; scorek，i，t，nIdentifying the question scores of the knowledge points k on the test paper n with the question number i and the question type t; scoreListt，nA score set with the topic type t in the test paper n is obtained; n is the number of the knowledge points k appearing in the test paper;
the calculation formula of the importance degree of each question in different question numbers is as follows:
wherein, IQi，jQot for the importance of topic j in topic number ii，jThe number of times of occurrence of the topic j in the topic number i, KjSet of knowledge points for topic j.
Optionally, the determining the priority of each question in the test paper according to the personal information of the target student and the question bank information includes:
determining the timeliness of each question according to the personal information of the target student and the question bank information;
judging the grade information of the target students according to the personal information of the target students and the information of the question bank, wherein the grade information is used for determining whether the grade of the target students is the same as that of each question;
obtaining the latest question making time of each question by the target student according to the personal information of the target student and the question bank information;
and calculating the priority of each question in the test paper according to the timeliness, the grade information and the latest question making time.
Optionally, the filling the target test paper according to the candidate question bank of each question number to complete the paper grouping process includes:
dividing the importance degree and the priority of each question according to the question number to obtain an alternative question library of each question number and an importance degree vector and a priority vector of an alternative question;
normalizing the importance degree vector and the priority vector, and adding the two normalized vectors to obtain a comprehensive priority vector of each question in each question number;
sorting the alternative questions of each question number from large to small according to the comprehensive priority;
selecting the question with the highest comprehensive priority, judging whether the number of the questions of the knowledge points related to the current question exceeds the preset number, and if not, filling the question into the test paper.
Another aspect of the embodiments of the present invention provides a volume group apparatus based on importance and priority, including:
the system comprises a first module, a second module and a third module, wherein the first module is used for acquiring personal information and test question library information of a target student, and the test question library information of the target student comprises wrong answer test questions and unanswered test questions of the target student;
the second module is used for acquiring target test paper information and performing knowledge point layout according to the target test paper information to obtain a basic test paper template;
the third module is used for determining the importance degree of each question in the test paper according to the question bank information and the information of the knowledge point layout;
the fourth module is used for determining the priority of each question in the test paper according to the personal information of the target student and the question bank information;
a fifth module, configured to calculate an alternative question bank for each question number according to the importance and priority of each question;
and the sixth module is used for filling the target test paper according to the alternative question bank of each question number to finish the paper assembling process.
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 method comprises the steps of firstly, obtaining personal information and test question library information of a target student, wherein the test question library information of the target student comprises wrong answer test questions and unanswered test questions of the target student; then, acquiring target test paper information, and performing knowledge point layout according to the target test paper information to obtain a basic test paper template; then, determining the importance degree of each question in the test paper according to the question bank information and the information of the knowledge point layout; determining the priority of each question in the test paper according to the personal information of the target student and the question bank information; calculating an alternative question bank of each question number according to the importance degree and the priority of each question; and finally, filling the target test paper according to the alternative question bank of each question number to finish the paper assembling process. According to the embodiment of the invention, the importance degree of each question in the question bank at different test paper positions and the priority of the target student can be calculated according to the question bank information and the student information, the test paper obtained by the method can be personalized for different students, the conditions that the test paper is unreasonably distributed and the questions are too many at a certain knowledge point are avoided, the requirement of personalized test paper composition is met, and the paper composition efficiency is improved.
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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 steps of a volume group method based on importance and priority according to 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.
To solve the problems in the prior art, an embodiment of the present invention provides a volume group method based on importance and priority, as shown in fig. 1, the method includes the following steps:
acquiring personal information and test question library information of a target student, wherein the test question library information of the target student comprises wrong answer test questions and unanswered test questions of the target student;
acquiring target test paper information, and performing knowledge point layout according to the target test paper information to obtain a basic test paper template;
determining the importance degree of each question in the test paper according to the question bank information and the information of the knowledge point layout;
determining the priority of each question in the test paper according to the personal information of the target student and the question bank information;
calculating an alternative question bank of each question number according to the importance degree and the priority of each question;
and filling the target test paper according to the alternative question bank of each question number to finish the paper assembling process.
Optionally, the obtaining of the target test paper information and the knowledge point layout according to the target test paper information to obtain a basic test paper template includes:
acquiring target test paper information, wherein the target test paper information comprises the score setting of each question type in the target test paper, the number of questions of each question type and the knowledge point range related to each subject;
constructing a question amount matrix according to the average question amount of each knowledge point in different question types of each test paper;
calculating a question distribution matrix of each knowledge point related to the target test paper according to the question amount matrix;
and carrying out knowledge point layout according to the question distribution matrix to obtain a basic test paper template.
Optionally, the obtaining target test paper information, and performing knowledge point layout according to the target test paper information to obtain a basic test paper template further includes:
when the number of the questions of each knowledge point of the current question type is judged to be less than the preset number according to the question distribution matrix, acquiring score vectors of the target students at the knowledge points, average score vectors at the knowledge points and score difference vectors according to historical answer records of the target students;
and determining the newly added knowledge point topics according to the score vector, the average score vector and the score difference vector.
Optionally, the determining the importance degree of each question in the test paper according to the question bank information and the information of the knowledge point layout includes:
acquiring the occurrence frequency of the knowledge points at different positions of the test paper according to the test question bank information and the information of the knowledge point layout;
obtaining the ratio of the score of the target question to the score of the question under the same question type;
acquiring the occurrence frequency of the target position of the question in different test papers;
and determining the importance degree of each question in the test paper according to the occurrence frequency, the ratio and the occurrence times.
Optionally, the determining the importance degree of each question in the test paper according to the question bank information and the information of the knowledge point layout further includes:
calculating the importance degree of the knowledge points in different question numbers according to the information of the layout of each knowledge point;
calculating an importance degree set of each question in different question numbers according to the importance degree of each knowledge point in different question numbers and the question information of each question number;
the calculation formula of the importance degree of the knowledge points in different question numbers is as follows:
wherein, IKk，i，tThe importance degree of the knowledge point k with the topic number i and the topic type t is shown; kork，i，tThe probability of occurrence of a knowledge point k with the topic number i and the topic type t is shown; scorek，i，t，nIdentifying the question scores of the knowledge points k on the test paper n with the question number i and the question type t; scoreListt，nA score set with the topic type t in the test paper n is obtained; n is the number of the knowledge points k appearing in the test paper;
the calculation formula of the importance degree of each question in different question numbers is as follows:
wherein, IQi，jQot for the importance of topic j in topic number ii，jThe number of times of occurrence of the topic j in the topic number i, KjSet of knowledge points for topic j.
Optionally, the determining the priority of each question in the test paper according to the personal information of the target student and the question bank information includes:
determining the timeliness of each question according to the personal information of the target student and the question bank information;
judging the grade information of the target students according to the personal information of the target students and the information of the question bank, wherein the grade information is used for determining whether the grade of the target students is the same as that of each question;
obtaining the latest question making time of each question by the target student according to the personal information of the target student and the question bank information;
and calculating the priority of each question in the test paper according to the timeliness, the grade information and the latest question making time.
Optionally, the filling the target test paper according to the candidate question bank of each question number to complete the paper grouping process includes:
dividing the importance degree and the priority of each question according to the question number to obtain an alternative question library of each question number and an importance degree vector and a priority vector of an alternative question;
normalizing the importance degree vector and the priority vector, and adding the two normalized vectors to obtain a comprehensive priority vector of each question in each question number;
sorting the alternative questions of each question number from large to small according to the comprehensive priority;
selecting the question with the highest comprehensive priority, judging whether the number of the questions of the knowledge points related to the current question exceeds the preset number, and if not, filling the question into the test paper.
Another aspect of the embodiments of the present invention provides a volume group apparatus based on importance and priority, including:
the system comprises a first module, a second module and a third module, wherein the first module is used for acquiring personal information and test question library information of a target student, and the test question library information of the target student comprises wrong answer test questions and unanswered test questions of the target student;
the second module is used for acquiring target test paper information and performing knowledge point layout according to the target test paper information to obtain a basic test paper template;
the third module is used for determining the importance degree of each question in the test paper according to the question bank information and the information of the knowledge point layout;
the fourth module is used for determining the priority of each question in the test paper according to the personal information of the target student and the question bank information;
a fifth module, configured to calculate an alternative question bank for each question number according to the importance and priority of each question;
and the sixth module is used for filling the target test paper according to the alternative question bank of each question number to finish the paper assembling process.
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 volume group method of the present invention in detail:
a personalized automatic volume-forming method based on importance degree and priority comprises the following steps:
1. obtaining basic information and test question library information of target students, wherein the test question library of the target students is used for answering wrong test questions and unanswered test questions for the target students
2. Inputting information of a target test paper, and automatically distributing knowledge points of the test paper to form a basic test paper template;
3. determining the importance degree of each question according to the information of the question bank and the information of the knowledge points;
4. determining the priority of each question according to the information of the selected question bank and the information of the students;
5. and calculating to obtain an alternative question bank of each question number according to the importance degree and the priority of each question, and filling the target test paper.
The basic information of the student comprises: the answer records of students, the grade of the student, and the like;
the item bank information comprises: the method comprises the following steps of (1) acquiring knowledge points of each question, the question type of each question, the test paper set to which each question belongs, the question number sets of each question on different test papers, the last answer time of students, the answer times of target students, the question setting time of each question, the target grade of each question, the preset difficulty of each grade and the actual difficulty of each grade;
the information of the target test paper comprises: the question type, the number of questions of each question type, the question score and the knowledge points related to the test paper are included; wherein the number of topics must not exceed a certain maximum.
Further, the automatic knowledge point distribution of the test paper to form a basic test paper template comprises the following steps:
1) inputting basic information of the target test paper, including the score setting of each question type in the target test paper, the number of questions of each question type, the related knowledge point range and the TypeCounttRepresenting the number of questions of the question type t in the target test paper;
2) calculating the average question amount of each knowledge point related to the subject of the target test paper in different question types of each test paper to obtain a question amount matrix count:
3) calculating a question distribution matrix count' of each knowledge point related to the target test paper according to the question quantity matrix count; calculating the average question amount of each knowledge point in different question types of each test paper, and rounding in a four-contained five-input mode to obtain a question distribution matrix count, wherein the count is shown as follows
count＝[count1…countt…countlen(type)]T
countt＝[countt，1…countt，k…countt，len(k)]
Wherein counttRepresenting the number distribution, count, of each knowledge point in the topic type tt，kThe average question amount of the knowledge points k in the question types t, len (type) is the number of the question types, and len (k) is the number of the knowledge points;
calculating the question distribution of each knowledge point of the target test paper according to the question quantity matrix count to obtain a target matrix question distribution matrix count', which is shown as follows
count`＝[count`1…count`t…count`len(type)]T
count`t＝[count`t，1…count`t，k…count`t，len(k)]
Wherein [ m ] is]Representing rounding down, count ″tRepresents the number distribution, count' of each knowledge point in the target test paper in the question type tt，kSetting a question amount for the target question of the knowledge point k in the question type t;
alternatively, if | count ″t|＜TypeCounttThat is, the number of the question at each knowledge point of the current question type t is less than the preset number, and the value is recorded as TypeCountt-|count`tL, |; according to the historical answer records of students, obtaining score rate _ stu vectors of all knowledge points of target students, average score rate _ ave vectors of all knowledge points and finally obtained score difference vector rate _ delta, which are respectively shown as follows
rate_delta＝rate_stu-rate_ave
Sorting from small to large, taking the first dvalue knowledge points (the knowledge points involved in the target examination), adding 1 to the number of the questions of the selected knowledge points to obtain a new count ″tIf still | countt|＜TypeCounttAnd repeating the steps.
The importance degree of each question is used for judging the important achievement of a certain question to a certain position (such as a first question of a test paper and a first question of a choice question), and the judgment basis is as follows: whether the frequency of the knowledge points related to the question appearing at different positions of the test paper is high (the higher the probability of the appearance of the knowledge points is, the higher the importance degree of the related knowledge points at the positions), the ratio of the score of the question to the score of the same question type (the higher the ratio is, the higher the score is, the higher the importance degree is considered), and the number of the appearance times of the question at a certain position in different test papers (the more the appearance times are, the higher the importance degree of the thought mode of the examination of the question is considered).
Further, obtaining the importance degree of each question according to the information of the question bank and the information of the knowledge points, comprising:
1) calculating the importance degree of the knowledge points in different question numbers according to the information of each knowledge point;
2) calculating an importance degree set of each question in different question numbers according to the importance degree of each knowledge point and each question information;
the importance degree of the knowledge points in different topic numbers is calculated according to the information of the knowledge points, and the importance degree of the knowledge points in different topic numbers is calculated according to a formula I, wherein the formula I comprises:
wherein, IKk，i，tThe importance of the knowledge point k in question i and question t kork，i，tIs a knowledge point k at questionProbability of occurrence with number i and topic type t, scorek，i，t，nIdentifying k for knowledge, having a topic number of i and a topic type of t, and assigning a topic score of n on the test paper, scoreListt，nThe method comprises the following steps of (1) taking a score set with a topic type of t in a test paper N, wherein N is the number of knowledge points k appearing in the test paper;
the importance degree set of each question in different question numbers is calculated according to the importance degree of each knowledge point and each question information, the importance degree of each question in different question numbers is calculated according to a second expression, and the second formula comprises:
IQi，jqot for the importance of topic j in topic number ii，jThe number of times of occurrence of the topic j in the topic number i, KjSet of knowledge points for topic j.
Further, the information of the selected question bank and the information of the students determine the priority of each question, and the priority comprises the following steps:
calculating the priority of the test questions in different question numbers according to a formula III; the priority of each question is used for judging the importance of a certain question to a certain position according to the following judgment criteria: whether the question is time-efficient (the question is time-efficient and needs to consider the current year), whether the grade of the target student is the same as the grade of the question (the more the grade of the student is close to the target grade, the higher the priority is), and the last time the student made the question (the longer the time is, the higher the priority is);
the third formula includes:
PRIi，j＝I(Timeliness＝＝True)×I(effective＝＝True)×Oi，j；
PRIi，jfor the priority of topic j at topic number I, I () is an indicative function, and DayNow is the time and date of the group volume, i.e., the current time, DayLastjLast time do questions for the studentDate of mesh j, stuRatekThe aveRate, which is the score of the student's topic jkThe average score of all student topics j in the database, the grade of sgrade student in the current year, the target grade of qgrade topic, ratei，jThe probability of the topic appearing in the topic number i; pr (total reflection)1、pr2Is a weight coefficient;
wherein, if the target student has not done the question before, DayLastjstuRate, same as DayNowkAnd aveRatekThe same is true.
Further, the step of calculating an alternative question bank of each question number according to the importance degree and the priority of each question to fill the target test paper comprises the following steps:
1) dividing the importance degree and the priority of each question according to the question number to obtain an alternative question library of each question number and an importance degree vector and a priority vector of an alternative question;
2) normalizing the importance degree vector and the priority vector, and adding the two normalized vectors to obtain a comprehensive priority vector of each question in each question number;
3) sorting the alternative questions of each question number from large to small according to the comprehensive priority;
4) selecting the question with the highest comprehensive priority, judging whether the number of the questions of the knowledge points related to the current question exceeds the preset number, if so, selecting the next question, and repeating the step; if not, filling the test paper;
wherein, the dividing the importance degree and the priority of each topic according to the topic number to obtain a plurality of vectors comprises:
a) topic i importance vector:
b) the ith priority vector:
wherein leniFor the number of the i-th question possibly appearing in the question bank；
The normalizing each array and calculating the comprehensive priority of each question on each question number comprises the following steps: obtaining a new importance vector
And priority vector
In summary, the invention can calculate the importance degree of each question in the question bank at different test paper positions and the priority of the target student according to the question bank information and the student information, and the test paper obtained by the method can be personalized for different students, simultaneously avoids the conditions that the distribution of test paper questions is unreasonable and the questions are too many at a certain knowledge point, and meets the requirements of personalized test paper composition.
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 (10)
1. The method for volume group based on the importance degree and the priority is characterized by comprising the following steps:
acquiring personal information and test question library information of a target student, wherein the test question library information of the target student comprises wrong answer test questions and unanswered test questions of the target student;
acquiring target test paper information, and performing knowledge point layout according to the target test paper information to obtain a basic test paper template;
determining the importance degree of each question in the test paper according to the question bank information and the information of the knowledge point layout;
determining the priority of each question in the test paper according to the personal information of the target student and the question bank information;
calculating an alternative question bank of each question number according to the importance degree and the priority of each question;
and filling the target test paper according to the alternative question bank of each question number to finish the paper assembling process.
2. The method of claim 1, wherein the obtaining of the target test paper information and the knowledge point layout according to the target test paper information to obtain the basic test paper template comprises:
acquiring target test paper information, wherein the target test paper information comprises the score setting of each question type in the target test paper, the number of questions of each question type and the knowledge point range related to each subject;
constructing a question amount matrix according to the average question amount of each knowledge point in different question types of each test paper;
calculating a question distribution matrix of each knowledge point related to the target test paper according to the question amount matrix;
and carrying out knowledge point layout according to the question distribution matrix to obtain a basic test paper template.
3. The method of claim 2, wherein the obtaining of the target test paper information and the knowledge point layout according to the target test paper information to obtain the basic test paper template further comprises:
when the number of the questions of each knowledge point of the current question type is judged to be less than the preset number according to the question distribution matrix, acquiring score vectors of the target students at the knowledge points, average score vectors at the knowledge points and score difference vectors according to historical answer records of the target students;
and determining the newly added knowledge point topics according to the score vector, the average score vector and the score difference vector.
4. The method for paper grouping based on importance and priority as claimed in claim 1, wherein the determining the importance of each question in the test paper according to the question bank information and the knowledge point layout information comprises:
acquiring the occurrence frequency of the knowledge points at different positions of the test paper according to the test question bank information and the information of the knowledge point layout;
obtaining the ratio of the score of the target question to the score of the question under the same question type;
acquiring the occurrence frequency of the target position of the question in different test papers;
and determining the importance degree of each question in the test paper according to the occurrence frequency, the ratio and the occurrence times.
5. The method of claim 4, wherein the determining the importance of each question in the test paper according to the question bank information and the knowledge point layout information further comprises:
calculating the importance degree of the knowledge points in different question numbers according to the information of the layout of each knowledge point;
calculating an importance degree set of each question in different question numbers according to the importance degree of each knowledge point in different question numbers and the question information of each question number;
the calculation formula of the importance degree of the knowledge points in different question numbers is as follows:
wherein, IKk，i，tThe importance degree of the knowledge point k with the topic number i and the topic type t is shown; kork，i，tThe probability of occurrence of a knowledge point k with the topic number i and the topic type t is shown; scorek，i，t，nIdentifying the question scores of the knowledge points k on the test paper n with the question number i and the question type t; scoreListt，nA score set with the topic type t in the test paper n is obtained; n is the number of the knowledge points k appearing in the test paper;
the calculation formula of the importance degree of each question in different question numbers is as follows:
wherein, IQi，jQot for the importance of topic j in topic number ii，jThe number of times of occurrence of the topic j in the topic number i, KjSet of knowledge points for topic j.
6. The method for paper grouping based on importance and priority as claimed in claim 1, wherein the determining the priority of each topic in the test paper according to the personal information of the target student and the test question library information comprises:
determining the timeliness of each question according to the personal information of the target student and the question bank information;
judging the grade information of the target students according to the personal information of the target students and the information of the question bank, wherein the grade information is used for determining whether the grade of the target students is the same as that of each question;
obtaining the latest question making time of each question by the target student according to the personal information of the target student and the question bank information;
and calculating the priority of each question in the test paper according to the timeliness, the grade information and the latest question making time.
7. The method according to claim 1, wherein the filling of the target test paper according to the candidate question bank of each question number completes the paper grouping process, and comprises:
dividing the importance degree and the priority of each question according to the question number to obtain an alternative question library of each question number and an importance degree vector and a priority vector of an alternative question;
normalizing the importance degree vector and the priority vector, and adding the two normalized vectors to obtain a comprehensive priority vector of each question in each question number;
sorting the alternative questions of each question number from large to small according to the comprehensive priority;
selecting the question with the highest comprehensive priority, judging whether the number of the questions of the knowledge points related to the current question exceeds the preset number, and if not, filling the question into the test paper.
8. A group volume device based on importance and priority, comprising:
the system comprises a first module, a second module and a third module, wherein the first module is used for acquiring personal information and test question library information of a target student, and the test question library information of the target student comprises wrong answer test questions and unanswered test questions of the target student;
the second module is used for acquiring target test paper information and performing knowledge point layout according to the target test paper information to obtain a basic test paper template;
the third module is used for determining the importance degree of each question in the test paper according to the question bank information and the information of the knowledge point layout;
the fourth module is used for determining the priority of each question in the test paper according to the personal information of the target student and the question bank information;
a fifth module, configured to calculate an alternative question bank for each question number according to the importance and priority of each question;
and the sixth module is used for filling the target test paper according to the alternative question bank of each question number to finish the paper assembling process.
9. An electronic device comprising a processor and a memory;
the memory is used for storing programs;
the processor executing the program realizes the method according to any one of claims 1-7.
10. 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 1-7.
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