CN111125342B - Problem test data generation method and device - Google Patents
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Abstract
The disclosure relates to a method, a device, an electronic device and a storage medium for generating exercise test data. Wherein the method comprises the following steps: acquiring the problem error rate of each teaching chapter in the student problems; determining examination range information, and searching the problem error rate corresponding to the section to be examined in the examination range information; acquiring the test question proportion of each section to be tested in the examination range information, and acquiring the test question weight coefficient of each section to be tested according to the test question proportion of each section to be tested and the problem error rate corresponding to each section to be tested; presetting a test question library corresponding to each chapter, selecting the test questions corresponding to each chapter to be tested in the preset test question library according to the test question weight coefficient of each chapter to be tested, and generating the test questions. According to the method, examination questions corresponding to the error rates are automatically generated according to the statistics of the error rates of the examination questions of each chapter.
Description
Technical Field
The present disclosure relates to the field of computer technology, and in particular, to a method and apparatus for generating problem test data, an electronic device, and a computer readable storage medium.
Background
Examination is a strict knowledge level identification method. The examination aims at finding problems and defects existing in learning of the test, and then, feasible measures are adopted to improve the test, so that the test is improved continuously and the test is perfected. A set of good examination questions is a perfect set of all knowledge points in the examination range, and can realize good teaching promotion effect.
However, not all the exams can complete the same set of examination questions, so that the learning promoting effect of the exams can be exerted to the maximum effect, and in some occasions, the examination questions conforming to the learning condition of each student are customized according to different understanding degrees of different students on different knowledge points in the examination range, so that the effects of consolidating and improving learning of the learning content of the students can be achieved.
In the prior art, the application number 201510740357.8 is a programming type examination question automatic evaluation method, which comprises the following steps: s1: the method comprises the steps that a server side obtains an evaluation code to be tested sent by a client side and a preset test case; s2: determining the input, output, weight and score corresponding to the test case; s3: according to the input of the test case, the evaluation code to be tested is operated, and an output result of the evaluation code to be tested is obtained; s4: and matching the output result of the evaluation code to be tested with the expected output of the test case, and calculating the score of the evaluation code to be tested according to the weight and the score of the test case. By adopting the automatic evaluation method for the programming questions provided by the invention, the correctness of the program can be automatically evaluated according to the preset test cases, and the corresponding score is returned, so that the problems that a teacher can carry out tedious verification on the programming questions submitted by students and the questions cannot be effectively and objectively given can be effectively solved, and the programming language class courses can be better served.
The application number 201711420863.4 discloses a test question generation method of an intelligent examination system, which comprises the following steps: s1: the question bank template downloading module downloads a question bank template table with question type distinction in the management terminal; s2: the question bank template uploading module is used for uploading the filled question bank template tables in batches and storing the filled question bank template tables in the management terminal; s3: the test paper generation rule editing module in the management terminal stores the edited test paper generation rule list and sends the edited test paper generation rule list to the server; s4: the examination module in the user terminal provides an examination request of a section to be examined and sends the examination request to the examination paper generation module in the server; s5: and after receiving the examination request, the examination paper generation module correspondingly extracts examination questions in the server according to the examination paper generation rule table of the chapter, generates examination papers of the corresponding chapter and sends the examination papers of the corresponding chapter to the user terminal.
The application number 201410535161.0 discloses a test question database test question acquisition method and a system, wherein the method comprises the following steps: acquiring parameters input by a user; respectively calculating test question matching values of each test question in a test question database according to the parameters and the test question attributes, and storing the test question matching values into a matching value data table; and sorting all the test questions according to the test question matching values in the matching value data table from large to small, sequentially accumulating the test question duration of each test question according to the sequence from large to small of the test question matching values to obtain the total operation duration, and when the difference between the total operation duration and the operation duration parameter is minimum and the total operation duration is smaller than or equal to the operation duration parameter, acquiring all accumulated test questions corresponding to the total operation duration from the matching value data table, and storing and outputting all acquired test questions in the test question distribution data table.
The method is an improvement on the test question generation method, solves the problems of automatic and rapid generation of test questions and the like, but cannot count the knowledge learning level of students, and realizes the generation of different test questions with stronger individuation for different students.
Accordingly, there is a need to provide one or more solutions that at least address the above-mentioned problems.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
It is an object of the present disclosure to provide a problem test data generation method, apparatus, electronic device, and computer-readable storage medium, which overcome, at least in part, one or more of the problems due to the limitations and disadvantages of the related art.
According to one aspect of the present disclosure, there is provided a problem test data generation method including:
a problem error rate obtaining step of obtaining problem error rates of various teaching chapters in the student problems;
determining examination scope information, namely determining examination scope information, and searching a problem error rate corresponding to a section to be examined in the examination scope information;
a weight coefficient calculation step, namely acquiring the test question proportion of each section to be tested in the examination range information, and acquiring the test question weight coefficient of each section to be tested according to the test question proportion of each section to be tested and the problem error rate corresponding to each section to be tested;
and generating test questions, namely presetting a test question library corresponding to each chapter, selecting the test questions corresponding to each chapter to be tested in the preset test question library according to the test question weight coefficient of each chapter to be tested, and generating the test questions.
In an exemplary embodiment of the present disclosure, the weight coefficient calculating step includes:
the weight coefficient W obtained according to the test question proportion and the error rate of the section to be tested is as follows:
wherein P is each section to be tested, R is the error rate of each section to be tested, n is the total number of sections to be tested, and k is a section to be tested in the total sections to be tested.
In an exemplary embodiment of the present disclosure, the weight coefficient calculating step includes:
acquiring exercises corresponding to each teaching chapter and knowledge point information of each teaching chapter, wherein the knowledge point information comprises important knowledge points;
searching whether the problems of the chapter to be tested contain problems corresponding to important knowledge points;
and if the test question weight coefficient is included, setting the test question weight coefficient corresponding to the teaching chapter as a first investigation coefficient.
In an exemplary embodiment of the present disclosure, after obtaining the problems corresponding to each teaching chapter and knowledge point information of each teaching chapter, the weight coefficient calculating step further includes:
judging whether the problem error rate of the section to be tested is smaller than or equal to a first preset error rate;
if yes, executing the step of searching whether the problems of the section to be tested contain problems corresponding to important knowledge points.
In an exemplary embodiment of the present disclosure, the weight coefficient calculating step includes:
after searching whether the problems of the section to be tested contain problems corresponding to important knowledge points or not, if the problems of the section to be tested contain problems corresponding to a plurality of important knowledge points, setting the test question weight coefficient of the section to be tested according to the number of the contained important knowledge points.
In one exemplary embodiment of the present disclosure, the method includes:
if the problems of the section to be tested are determined to contain problems corresponding to a plurality of important knowledge points, further judging whether the error rate of the problems corresponding to the important knowledge points reaches a second preset error rate, and if not, setting the test problem weight coefficient of the section to be tested as a second investigation coefficient.
In an exemplary embodiment of the present disclosure, in the step of generating the test questions, presetting the test question bank corresponding to each chapter specifically includes:
and acquiring the problems in each teaching chapter, and adding the problems in each teaching chapter into the examination problem library.
In an exemplary embodiment of the present disclosure, in the step of generating the test questions, presetting the test question bank corresponding to each chapter specifically includes:
and acquiring the history test questions corresponding to the teaching chapters, and adding the history test questions corresponding to the teaching chapters into the examination test question library.
In one aspect of the present disclosure, there is provided a problem test data generating apparatus including:
the problem error rate acquisition module is used for acquiring the problem error rate of each teaching chapter in the problems of the students;
the examination range determining module is used for determining examination range information and searching the problem error rate corresponding to the chapter to be examined in the examination range information;
the weight coefficient calculation module is used for obtaining the test question proportion of each section to be tested in the examination range information, and obtaining the test question weight coefficient of each section to be tested according to the test question proportion of each section to be tested and the problem error rate corresponding to each section to be tested;
the examination question generation module is used for presetting examination question libraries corresponding to the chapters, selecting the questions corresponding to the chapters to be examined from the preset examination question libraries according to the question weight coefficients of the chapters to be examined, and generating examination questions.
In one aspect of the present disclosure, there is provided an electronic device comprising:
a processor; and
a memory having stored thereon computer readable instructions which, when executed by the processor, implement a method according to any of the above.
In one aspect of the present disclosure, a computer readable storage medium is provided, on which a computer program is stored, which when executed by a processor, implements a method according to any of the above.
The problem test data generation method in the exemplary embodiment of the present disclosure obtains problem error rates of each teaching chapter in a student problem; determining examination range information, and searching the problem error rate corresponding to the section to be examined in the examination range information; acquiring the test question proportion of each section to be tested in the examination range information, and acquiring the test question weight coefficient of each section to be tested according to the test question proportion of each section to be tested and the problem error rate corresponding to each section to be tested; presetting a test question library corresponding to each chapter, selecting the test questions corresponding to each chapter to be tested in the preset test question library according to the test question weight coefficient of each chapter to be tested, and generating the test questions. On the one hand, as each knowledge point in a chapter or a chapter is used as a minimum statistical unit, corresponding test questions are further generated by using statistics based on the problem error rate, personalized test questions generation for different examinees is realized, different test questions can be generated by targeted mastering of knowledge points of different students, and the teaching is promoted more strongly; on the other hand, the adjustment of the corresponding weight coefficient of the key knowledge point in each chapter ensures the test of the examination questions on the content of the chapter where the key knowledge point is located, and can deepen the review of the key knowledge point by students and realize the unified test of the key knowledge point and the error questions.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
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The above and other features and advantages of the present disclosure will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.
FIG. 1 illustrates a flowchart of a problem test data generation method according to an exemplary embodiment of the present disclosure;
FIG. 2 illustrates a schematic diagram of an application scenario of a problem test data generation method according to an exemplary embodiment of the present disclosure;
FIG. 3 illustrates a schematic diagram of an application scenario of a problem test data generation method according to an exemplary embodiment of the present disclosure;
FIG. 4 illustrates a schematic diagram of an interactive application scenario of a problem test data generation method according to an exemplary embodiment of the present disclosure;
FIG. 5 shows a schematic block diagram of a problem test data generating device according to an exemplary embodiment of the present disclosure;
FIG. 6 schematically illustrates a block diagram of an electronic device according to an exemplary embodiment of the present disclosure; and
fig. 7 schematically illustrates a schematic diagram of a computer-readable storage medium according to an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the disclosed aspects may be practiced without one or more of the specific details, or with other methods, components, materials, devices, steps, etc. In other instances, well-known structures, methods, devices, implementations, materials, or operations are not shown or described in detail to avoid obscuring aspects of the disclosure.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software, or in one or more software-hardened modules, or in different networks and/or processor devices and/or microcontroller devices.
In this exemplary embodiment, first, a problem test data generating method is provided, which can be applied to electronic devices such as a computer; referring to fig. 1, the problem test data generation method may include the steps of:
a problem error rate obtaining step S110, which obtains the problem error rate of each teaching chapter in the student problem;
a test range determining step S120 of determining test range information and searching for a problem error rate corresponding to a chapter to be tested in the test range information;
step S130 of calculating the weight coefficient, namely obtaining the test question proportion of each section to be tested in the examination range information, and obtaining the test question weight coefficient of each section to be tested according to the test question proportion of each section to be tested and the problem error rate corresponding to each section to be tested;
and S140, presetting a test question library corresponding to each section, selecting the test questions corresponding to each section to be tested in the preset test question library according to the test question weight coefficient of each section to be tested, and generating the test questions.
According to the problem test data generation method in the embodiment, on one hand, as each knowledge point in a chapter or a chapter is used as a minimum statistical unit, corresponding test questions are further generated by using statistics based on problem error rates, personalized test questions generation for different testees is realized, different test questions can be generated by targeted mastering of knowledge points of different students, and the method has a strong promotion effect on teaching; on the other hand, the adjustment of the corresponding weight coefficient of the key knowledge point in each chapter ensures the test of the examination questions on the content of the chapter where the key knowledge point is located, and can deepen the review of the key knowledge point by students and realize the unified test of the key knowledge point and the error questions.
Next, the problem test data generation method in the present exemplary embodiment will be further described.
In the problem error rate obtaining step S110, the problem error rate of each teaching chapter in the student problem can be obtained.
In the embodiment of the example, according to the error rate of the students, the mastering degree of the students on each content in the range to be examined is mastered, the purposefully directed examination questions are carried out, the generation of customized questions for different students can be realized, and the further consolidation and promotion of the students on the knowledge of each learned chapter are facilitated. The problem error rate of each teaching chapter in the student problems is the problem error rate of the students when finishing homework, classroom test and other lower examination, and according to the grasp of the problem error rate, a map of the familiarity degree of knowledge points of each teaching chapter of the students can be drawn.
In the examination scope determining step S120, examination scope information may be determined, and the problem error rate corresponding to the chapter to be examined in the examination scope information may be found.
In this exemplary embodiment, examination range information including start and end points of each of the sections to be examined or each of the knowledge points in each of the sections to be examined is determined, then the problems corresponding to each of the sections to be examined or each of the knowledge points in each of the sections to be examined are counted, and the problem error rate is determined according to the range of the sections to be examined.
In the weight coefficient calculating step S130, the test question proportion of each section to be tested in the examination range information may be obtained, and the test question weight coefficient of each section to be tested is obtained according to the test question proportion of each section to be tested and the problem error rate corresponding to each section to be tested.
In the embodiment of the present example, because the range of each section to be tested is different in the examination range information, the number of corresponding questions is also different, the problem error rate corresponding to each section to be tested is also different, and there may be a factor of a side weight ratio of important knowledge points, so the weight coefficient of each section to be tested is also different, the total trend is that the number of sections with a large number of knowledge points in the range of each section to be tested, the number of sections with a large number of knowledge points corresponding to the problem and the number of sections with a large number of important knowledge points in the range of each section to be tested are also different, and the weight coefficient occupied in the test questions of each section to be tested is correspondingly higher.
In an embodiment of the present example, the weight coefficient calculation step includes: the weight coefficient W obtained according to the test question proportion and the error rate of the section to be tested is as follows:
wherein P is each section to be tested, R is the error rate of each section to be tested, n is the total number of sections to be tested, and k is a section to be tested in the total sections to be tested. As shown in fig. 2, when a student Wang Mou in a middle school is performing a mathematical test, the weight coefficient of each chapter is obtained according to the ratio of the questions and the error rate of the chapter to be tested, and it can be seen that the ratio of the questions in the second chapter is higher than the error rate, so that the weight coefficient occupied in the questions is correspondingly higher.
In an embodiment of the present example, the weight coefficient calculation step includes: acquiring exercises corresponding to each teaching chapter and knowledge point information of each teaching chapter, wherein the knowledge point information comprises important knowledge points; searching whether the problems of the chapter to be tested contain problems corresponding to important knowledge points; and if the test question weight coefficient is included, setting the test question weight coefficient corresponding to the teaching chapter as a first investigation coefficient. In order to ensure that a section containing important knowledge points can have enough investigation space in the test question, a certain investigation share is reserved in the test question even if the error rate of students in the section containing important knowledge points is low, so that the section of the test question corresponding to the important knowledge points is set as a first investigation coefficient, and the coefficient can be 0.2-0.5.
In this exemplary embodiment, after obtaining the problem corresponding to each teaching chapter and the knowledge point information of each teaching chapter, the weight coefficient calculating step further includes: judging whether the problem error rate of the section to be tested is smaller than or equal to a first preset error rate; if yes, executing the step of searching whether the problems of the section to be tested contain problems corresponding to important knowledge points. When the error rate of the chapter containing the key knowledge points is lower than the first preset error rate, in order to ensure that the chapter containing the key knowledge points can have enough investigation space in the test questions, the weight coefficient of the chapter can be directly set as a first investigation coefficient, and the first investigation coefficient is not smaller than the weight coefficient directly calculated according to the error rate of the chapter.
In an embodiment of the present example, the weight coefficient calculation step includes: after searching whether the problems of the section to be tested contain problems corresponding to important knowledge points or not, if the problems of the section to be tested contain problems corresponding to a plurality of important knowledge points, setting the test question weight coefficient of the section to be tested according to the number of the contained important knowledge points. Similarly, in order to ensure that a section containing a plurality of important knowledge points can have enough investigation space in the test question, even if the error rate of the section containing the important knowledge points is high, students can increase a certain investigation share in the test question, and the weight coefficient of the test question of the section to be examined is increased to increase the investigation proportion which is considered in the test question because of the section containing a plurality of important knowledge points.
In an embodiment of the present example, the method comprises: if the problems of the section to be tested are determined to contain problems corresponding to a plurality of important knowledge points, further judging whether the error rate of the problems corresponding to the important knowledge points reaches a second preset error rate, and if not, setting the test problem weight coefficient of the section to be tested as a second investigation coefficient. When the error rate of the student in the section containing the important knowledge points is lower than the second preset error rate, in order to ensure that the section containing a plurality of important knowledge points can have enough investigation space in the test question, the weight coefficient of the section can be directly set as a second investigation coefficient. In the above example, the second chapter includes 5 key knowledge points, the error rate of the second chapter of a student is 40% and is lower than the corresponding error rate of the plurality of knowledge points included in the second chapter by 80%, so the weight proportion corresponding to the chapter including the plurality of key knowledge points is directly set to be the second investigation coefficient 1.5, and the investigation side weight proportion of the chapter including the plurality of key knowledge points in the test questions is increased.
In the test question generation step S140, a test question library corresponding to each chapter may be preset, and a question corresponding to each chapter to be tested may be selected from the preset test question library according to the question weight coefficient of each chapter to be tested, and a test question may be generated.
In the embodiment of the present example, after determining the test question weight coefficient of each section to be tested, the test questions corresponding to each section to be tested or each knowledge point of each section to be tested are searched in a preset test question library according to the test question weight coefficient of each section to be tested, and test questions in the range of each section to be tested are generated. Fig. 3 is a schematic diagram of a test question generated by selecting a test question corresponding to each section to be tested in a preset test question library according to the test question weight coefficient of each section to be tested.
In this example embodiment, in the step of generating the test questions, presetting the test question bank corresponding to each chapter specifically includes: and acquiring the problems in each teaching chapter, and adding the problems in each teaching chapter into the examination problem library. The problems of each teaching chapter are important components of the examination problem library, and the examination of the wrong problems of the examinee can be considered again, so that the review of the students can be promoted to a certain extent, and the students can develop good learning habits.
In this example embodiment, in the step of generating the test questions, presetting the test question bank corresponding to each chapter specifically includes: and acquiring the history test questions corresponding to the teaching chapters, and adding the history test questions corresponding to the teaching chapters into the examination test question library. The examination questions of the lower examination are used as the candidate examination questions in the examination question library of the upper examination, and students can also cultivate learning habits of the students for review of the learned knowledge service and multi-summary induction.
In this example embodiment, the method may be applied to a PC, or may be applied to a portable handheld device, and may further implement data interaction between the two devices. Fig. 4 is a schematic diagram of a data interaction scenario in which the method is applied to a PC and a portable handheld device.
It should be noted that although the steps of the methods of the present disclosure are illustrated in the accompanying drawings in a particular order, this does not require or imply that the steps must be performed in that particular order or that all of the illustrated steps be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.
In addition, in the present exemplary embodiment, there is also provided a problem test data generating apparatus. Referring to fig. 5, the problem test data generating apparatus 500 may include: the test problem error rate acquisition module 510, the test range determination module 520, the weight coefficient calculation module 530 and the test problem generation module 540. Wherein:
the problem error rate obtaining module 510 is configured to obtain problem error rates of each teaching chapter in the student problem;
the examination scope determining module 520 is configured to determine examination scope information, and find a problem error rate corresponding to a chapter to be examined in the examination scope information;
the weight coefficient calculation module 530 is configured to obtain a test question proportion of each section to be tested in the examination range information, and obtain a test question weight coefficient of each section to be tested according to the test question proportion of each section to be tested and the problem error rate corresponding to each section to be tested;
the examination question generation module 540 is configured to preset an examination question library corresponding to each chapter, select a question corresponding to each chapter to be examined in the preset examination question library according to the question weight coefficient of each chapter to be examined, and generate an examination question.
The specific details of the exercise test data generating device module in the foregoing description are already described in detail in the corresponding audio paragraph identification method, so that the details are not repeated here.
It should be noted that although several modules or units of the problem test data generating device 500 are mentioned in the above detailed description, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
Those skilled in the art will appreciate that the various aspects of the invention may be implemented as a system, method, or program product. Accordingly, aspects of the invention may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
An electronic device 600 according to such an embodiment of the invention is described below with reference to fig. 6. The electronic device 600 shown in fig. 6 is merely an example, and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 6, the electronic device 600 is in the form of a general purpose computing device. Components of electronic device 600 may include, but are not limited to: the at least one processing unit 610, the at least one memory unit 620, a bus 630 connecting the different system components (including the memory unit 620 and the processing unit 610), a display unit 640.
Wherein the storage unit stores program code that is executable by the processing unit 610 such that the processing unit 610 performs steps according to various exemplary embodiments of the present invention described in the above-described "exemplary methods" section of the present specification. For example, the processing unit 610 may perform steps S110 to S140 as shown in fig. 1.
The storage unit 620 may include readable media in the form of volatile storage units, such as Random Access Memory (RAM) 6201 and/or cache memory unit 6202, and may further include Read Only Memory (ROM) 6203.
The storage unit 620 may also include a program/utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
The electronic device 600 may also communicate with one or more external devices 670 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 600, and/or any devices (e.g., routers, modems, etc.) that enable the electronic device 600 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 650. Also, electronic device 600 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 660. As shown, network adapter 660 communicates with other modules of electronic device 600 over bus 630. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 600, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, a computer-readable storage medium having stored thereon a program product capable of implementing the method described above in the present specification is also provided. In some possible embodiments, the various aspects of the invention may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the invention as described in the "exemplary methods" section of this specification, when said program product is run on the terminal device.
Referring to fig. 7, a program product 700 for implementing the above-described method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
Furthermore, the above-described drawings are only schematic illustrations of processes included in the method according to the exemplary embodiment of the present invention, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A method for generating problem test data, the method comprising:
a problem error rate obtaining step of obtaining problem error rates of various teaching chapters in the student problems;
determining examination scope information, namely determining examination scope information, and searching a problem error rate corresponding to a section to be examined in the examination scope information;
a weight coefficient calculation step, namely acquiring the test question proportion of each section to be tested in the examination range information, and acquiring the test question weight coefficient of each section to be tested according to the test question proportion of each section to be tested and the problem error rate corresponding to each section to be tested; the weight coefficient W obtained according to the test question proportion and the error rate of the section to be tested is as follows:
wherein P is each section to be tested, R is the error rate of each section to be tested, n is the total number of sections to be tested, and k is a section to be tested in the total sections to be tested;
and generating test questions, namely presetting a test question library corresponding to each chapter, selecting the test questions corresponding to each chapter to be tested in the preset test question library according to the test question weight coefficient of each chapter to be tested, and generating the test questions.
2. The method of claim 1, wherein the weight coefficient calculating step comprises:
acquiring exercises corresponding to each teaching chapter and knowledge point information of each teaching chapter, wherein the knowledge point information comprises important knowledge points;
searching whether the problems of the chapter to be tested contain problems corresponding to important knowledge points;
and if the test question weight coefficient is included, setting the test question weight coefficient corresponding to the teaching chapter as a first investigation coefficient.
3. The method of claim 2, wherein the step of calculating the weight coefficient further comprises, after obtaining the problem corresponding to each teaching chapter and knowledge point information of each teaching chapter:
judging whether the problem error rate of the section to be tested is smaller than or equal to a first preset error rate;
if yes, executing the step of searching whether the problems of the section to be tested contain problems corresponding to important knowledge points.
4. The method of claim 2, wherein the weight coefficient calculating step comprises:
after searching whether the problems of the section to be tested contain problems corresponding to important knowledge points or not, if the problems of the section to be tested contain problems corresponding to a plurality of important knowledge points, setting the test question weight coefficient of the section to be tested according to the number of the contained important knowledge points.
5. The method of claim 4, wherein the method comprises:
if the problems of the section to be tested are determined to contain problems corresponding to a plurality of important knowledge points, further judging whether the error rate of the problems corresponding to the important knowledge points reaches a second preset error rate, and if not, setting the test problem weight coefficient of the section to be tested as a second investigation coefficient.
6. The method of claim 1, wherein in the step of generating test questions, presetting the test question bank corresponding to each chapter specifically includes:
and acquiring the problems in each teaching chapter, and adding the problems in each teaching chapter into the examination problem library.
7. The method of claim 1, wherein in the step of generating test questions, presetting the test question bank corresponding to each chapter specifically includes:
and acquiring the history test questions corresponding to the teaching chapters, and adding the history test questions corresponding to the teaching chapters into the examination test question library.
8. A problem test data generation apparatus, the apparatus comprising:
the problem error rate acquisition module is used for acquiring the problem error rate of each teaching chapter in the problems of the students;
the examination range determining module is used for determining examination range information and searching the problem error rate corresponding to the chapter to be examined in the examination range information;
the weight coefficient calculation module is used for obtaining the test question proportion of each section to be tested in the examination range information, and obtaining the test question weight coefficient of each section to be tested according to the test question proportion of each section to be tested and the problem error rate corresponding to each section to be tested; the weight coefficient W obtained according to the test question proportion and the error rate of the section to be tested is as follows:
wherein P is each section to be tested, R is the error rate of each section to be tested, n is the total number of sections to be tested, and k is a section to be tested in the total sections to be tested;
the examination question generation module is used for presetting examination question libraries corresponding to the chapters, selecting the questions corresponding to the chapters to be examined from the preset examination question libraries according to the question weight coefficients of the chapters to be examined, and generating examination questions.
9. An electronic device, comprising
A processor; and
a memory having stored thereon computer readable instructions which, when executed by the processor, implement the method according to any of claims 1 to 7.
10. A computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method according to any of claims 1 to 7.
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| CN201911298014.5A CN111125342B (en) | 2019-12-17 | 2019-12-17 | Problem test data generation method and device |
| PCT/CN2020/137004 WO2021121296A1 (en) | 2019-12-17 | 2020-12-16 | Exercise test data generation method and apparatus |
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| CN111125342B (en) * | 2019-12-17 | 2023-06-27 | 深圳市鹰硕技术有限公司 | Problem test data generation method and device |
| CN111949870A (en) * | 2020-08-12 | 2020-11-17 | 福建师范大学协和学院 | Intelligent language learning method based on memory curve and storage medium |
| CN112100154B (en) * | 2020-08-31 | 2023-10-24 | 重庆大学 | Method, system, device and storage medium for intelligently generating structural mechanics course question bank based on man-machine interaction |
| CN112632393B (en) * | 2020-12-30 | 2024-06-21 | 北京博海迪信息科技股份有限公司 | Course recommendation method and device and electronic equipment |
| CN113763767A (en) * | 2021-08-25 | 2021-12-07 | 赣州市加薪教育科技有限公司 | Learning test question pushing method and device, computer equipment and storage medium |
| CN114266684A (en) * | 2021-12-31 | 2022-04-01 | Oook(北京)教育科技有限责任公司 | Test paper generation method, device, medium and electronic equipment |
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| CN110533974A (en) * | 2018-05-24 | 2019-12-03 | 中国移动通信集团有限公司 | A kind of intelligent Auto-generating Test Paper method, system and computer readable storage medium |
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