CN116340554B - English question method, device and application based on component splitting and combining - Google Patents

English question method, device and application based on component splitting and combining Download PDF

Info

Publication number
CN116340554B
CN116340554B CN202310627191.3A CN202310627191A CN116340554B CN 116340554 B CN116340554 B CN 116340554B CN 202310627191 A CN202310627191 A CN 202310627191A CN 116340554 B CN116340554 B CN 116340554B
Authority
CN
China
Prior art keywords
question
option
component
type
answer
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202310627191.3A
Other languages
Chinese (zh)
Other versions
CN116340554A (en
Inventor
马技超
陈玮强
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hangzhou Feizhu Technology Co ltd
Original Assignee
Hangzhou Feizhu Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hangzhou Feizhu Technology Co ltd filed Critical Hangzhou Feizhu Technology Co ltd
Priority to CN202310627191.3A priority Critical patent/CN116340554B/en
Publication of CN116340554A publication Critical patent/CN116340554A/en
Application granted granted Critical
Publication of CN116340554B publication Critical patent/CN116340554B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B19/00Teaching not covered by other main groups of this subclass
    • G09B19/06Foreign languages
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
    • G06F16/44Browsing; Visualisation therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
    • G06F16/48Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Multimedia (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Educational Administration (AREA)
  • Educational Technology (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Library & Information Science (AREA)
  • Electrically Operated Instructional Devices (AREA)

Abstract

The application provides an English question method, device and application based on component splitting and combining, which comprises the following steps: the system comprises a question stem module, an option module and a question bank generation module; a question type component corresponding to at least one question type is prestored in the question stem module; the method comprises the steps that an option component corresponding to at least one answer type is pre-stored in the option module, and a question component corresponding to the content of a question stem of the same question and an option component corresponding to the content of an answer option are associated; and selecting a question type component and an option component corresponding to the same question from the question stem module and the option module in the question bank generation module to generate the same questions of different questions, and integrating all the questions to obtain a question bank. According to the scheme, the components of the question setting part and the question answering part are subjected to high-level abstract combination to obtain different types of questions, the components are highly packaged, the use is convenient, and the components can be expanded to better obtain the questions with various question types.

Description

English question method, device and application based on component splitting and combining
Technical Field
The application relates to the technical field of intelligent question setting, in particular to an English question setting method, device and application based on component splitting and combination.
Background
The on-line English evaluation system is generally built by depending on an IOS end or an android end, and because a proper question bank can be built more conveniently only based on the IOS end or the android end, questions are set according to the levels of different users, most of the on-line English question evaluation systems based on Web browsers are used for directly crawling questions from an open source website to set questions, and the questions are single in shape and poor in quality.
The number of questions in English is large, the number of question groups is very large, the traditional development needs to develop various questions aiming at various aspects, often the number of question types is hundreds, and the development pressure and the workload of developers are extremely large. Often, a developer needs to independently compile and develop each question type and fill corresponding question content, which has the problems of time and labor consumption. In view of the foregoing, there is a need for a method for generating a large number of high-quality questions with various question types.
Disclosure of Invention
The embodiment of the application provides an English question setting method, device and application based on component splitting combination, which can abstract components with different question types at high level and perform random arrangement and combination on the components so as to reduce development work of developers and quickly and conveniently acquire questions with different question types.
In a first aspect, an embodiment of the present application provides an english question method based on component splitting and combining, where the method includes:
constructing a question stem module, an option module and a question bank generation module;
the method comprises the steps that a question type component corresponding to at least one question type is prestored in the question stem module, wherein each question type component displays the content of the question stem in a corresponding question type;
the method comprises the steps that option components corresponding to at least one answer type are prestored in an option module, wherein each option component displays answer option contents in a corresponding answer type, and a question component corresponding to the question stem content of the same question and an option component corresponding to the answer option content are associated;
and selecting a question type component and an option component corresponding to the same question from the question stem module and the option module in the question bank generation module to generate the same questions of different questions, and integrating all the questions to obtain a question bank.
In a second aspect, an embodiment of the present application provides an english question setting device based on component splitting and combining, including:
the construction module comprises: constructing a question stem module, an option module and a question bank generation module;
the stem module: the method comprises the steps of pre-storing question type components corresponding to at least one question type, wherein each question type component displays question stem content comprising question information of various question types according to the corresponding question type;
an option module: the method comprises the steps of pre-storing option components corresponding to at least one answer type, wherein each option component displays answer option content in a corresponding answer type, and associates a question component corresponding to the question stem content of the same question with an option component corresponding to the answer option content;
the question bank generation module: and selecting a question type component and an option component corresponding to the same question from the question stem module and the option module to generate the same questions of different questions, and integrating all the questions to obtain a question bank.
In a third aspect, an embodiment of the present application provides an electronic device, including a memory, and a processor, where the memory stores a computer program, and the processor is configured to run the computer program to execute an english question system based on component splitting and combining.
In a fourth aspect, embodiments of the present application provide a readable storage medium having a computer program stored therein, the computer program including program code for controlling a process to execute a process including an english-language question system based on component splitting and combining.
The main contributions and innovation points of the application are as follows:
the embodiment of the application generates various questions of different questions by highly abstracting and arranging and combining the different question type components and the different option components, can simply and conveniently generate the questions by combining the highly abstracted components, and has high expandability by switching and controlling the high encapsulation, when a new type of questions need to be added, only the components need to be added, related personnel are used for generating a large number of English questions, and in addition, callback is performed in each component by adding a hook function, so that the subsequent operation is convenient; according to the scheme, the questions are divided into the question packet groups with different difficulties to test the testers, and the English level of the testers can be accurately obtained.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the other features, objects, and advantages of the application.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a flow chart of a method of English question based on component split combination according to an embodiment of the present application;
FIG. 2 is a schematic diagram of the results of the generation of the stem content by the picture topic component in accordance with an embodiment of the present application;
FIG. 3 is a schematic diagram of the results of the generation of the stem content by the sentence-topic component in accordance with an embodiment of the present application;
FIG. 4 is a schematic diagram of the results of the generation of stem content by a speech topic component in accordance with an embodiment of the present application;
FIG. 5 is a schematic illustration of answer option content generated by a sentence word option component in accordance with an embodiment of the present application;
FIG. 6 is a schematic illustration of answer option content generated by a picture option component in accordance with an embodiment of the application;
FIG. 7 is a schematic diagram of answer option content fruits generated by a recording option component in accordance with an embodiment of the application;
FIG. 8 is a schematic diagram of a title obtained according to an embodiment of the present application;
FIG. 9 is a schematic diagram of the issuance of a generated topic packet group in accordance with an embodiment of the present application;
FIG. 10 is an overall flow chart of testing a tester according to an embodiment of the present application;
FIG. 11 is a block diagram of a device for English questions based on component splitting and combining according to an embodiment of the present application;
fig. 12 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with one or more embodiments of the present specification. Rather, they are merely examples of apparatus and methods consistent with aspects of one or more embodiments of the present description as detailed in the accompanying claims.
It should be noted that: in other embodiments, the steps of the corresponding method are not necessarily performed in the order shown and described in this specification. In some other embodiments, the method may include more or fewer steps than described in this specification. Furthermore, individual steps described in this specification, in other embodiments, may be described as being split into multiple steps; while various steps described in this specification may be combined into a single step in other embodiments.
Example 1
The embodiment of the application provides an English question method based on component splitting and combining, and specifically referring to FIG. 1, the method comprises the following steps:
constructing a question stem module, an option module and a question bank generation module;
the method comprises the steps that a question type component corresponding to at least one question type is prestored in the question stem module, wherein each question type component displays the content of the question stem in a corresponding question type;
the method comprises the steps that option components corresponding to at least one answer type are prestored in an option module, wherein each option component displays answer option contents in a corresponding answer type, and a question component corresponding to the question stem content of the same question and an option component corresponding to the answer option content are associated;
and selecting a question type component and an option component corresponding to the same question from the question stem module and the option module in the question bank generation module to generate the same questions of different questions, and integrating all the questions to obtain a question bank.
In some embodiments, in the step of displaying the content of the stem with the corresponding question type for each question type component, the question type component of each question type is abstracted and stored in the stem module, and the question type component is divided into a picture question type component, a sentence question type component and a voice question type component according to different question types.
Specifically, the picture question type component corresponds to the question stem content of the picture question type, the sentence question type component corresponds to the question stem content of the sentence question type, and the voice question type component corresponds to the question stem content of the voice question type.
Specifically, the number of the components of the question type component can be added or reduced according to actual conditions.
Specifically, the picture question type component comprises parameters such as a title, answer time, a question stem description, a picture and the like, the picture parameters in the picture question type component are displayed in a picture form, a answer ending detection callback hook and a stop timing method are provided, the answer ending detection callback hook is used for detecting whether a tester answers, when the fact that the tester has finished answering is detected, the detection callback hook is triggered to execute a preset callback function, the preset callback function can be set to load the next question or answer ending according to actual conditions, the stop timing method is used for controlling answer time of the tester, the stop timing method is used for setting answer time of the tester, when the answer time is exceeded, a answer which the tester has filled in is obtained and the next question is jumped to, and if the current question is the last question, the answer is stopped.
Illustratively, the content of the questions generated according to the picture question type component is shown in fig. 2, and the picture question type component can generate various questions such as a picture word, a picture sentence, a word selected according to pictures, and the like.
Specifically, the sentence question type component includes parameters such as a title, a question answering time, a question stem description, and the like, provides a question answering ending detection callback hook and a stop timing method, where the question stem description in the sentence question type component is displayed in a text form, the question answering ending detection callback hook is used for detecting whether a tester answers a question, when the tester is detected to have finished answering, the detection callback hook is triggered to execute a preset callback function, the preset callback function can be set as loading a next question or ending the answer according to actual conditions, the stop timing method sets the answer time of the tester, when the answer time is exceeded, the answer which the tester has filled out is obtained and is jumped to the next question, and if the current question is the last question, the answer is stopped.
Illustratively, the content of the questions generated according to the sentence pattern component is shown in fig. 3, and the sentence pattern component can generate various questions such as selecting pictures according to words, filling words according to sentences, finding suitable pictures according to sentence descriptions, and the like.
Specifically, the voice question type component comprises parameters such as a title, a question answering time, a question stem description, an audio source, a picture, playable times and the like, a answer ending detection callback hook and a stop timing method are provided, the audio source in the voice question type component is provided in a voice form, the answer ending detection callback hook is used for detecting whether a tester answers the questions, when the fact that the tester has finished answering is detected, the detection callback hook is triggered to execute a preset callback function, the preset callback function can be set to load the next questions or answer the questions to finish according to actual conditions, the stop timing method sets answer time of the tester, when the answer time is exceeded, answers which the tester has filled in are obtained and are jumped to the next questions, if the current questions are the last questions, the audio source represents the audio source, the playable times represent the playing times of the audio, and the playable times can be set artificially.
For example, the content of the question stem generated according to the voice question type component is shown in fig. 4, and the voice question type component can generate multiple question types such as answer finding according to the voice question, repeated voice content and the like.
In some embodiments, in the step of displaying answer option content by each option component with a corresponding answer type, the option component corresponding to each answer type is abstracted and stored in the option module, and the option components are divided into a sentence word option component, a picture option component and a recording option component according to the answer type.
Specifically, the sentence word option component corresponds to answer option content of a sentence or word answer type, the picture option component corresponds to answer option content of a picture answer type, and the recording option component corresponds to answer option content of a recording answer type.
Specifically, the number of the components of the option components can be added or reduced according to actual conditions.
Specifically, the sentence word option component includes parameters such as an answer option list, an answer ID, and the like, and provides a report answer callback hook and a method for detecting an answer, where the report answer callback hook is used to callback an answer selected/filled by a tester, and when the tester submits an answer or the time is over, the report answer callback hook is triggered to obtain the answer selected/filled by the tester, and whether the answer is correct is detected by the method for detecting an answer, and the answer option list is a word or a sentence.
Illustratively, the content of answer options generated according to the sentence word option component is shown in fig. 5, and the sentence word option component may generate multiple answer types such as word options, sentence options, and the like.
Specifically, the picture option component comprises parameters such as an answer option list, an answer ID and the like, and provides a report answer callback hook and an answer detection method, wherein the report answer callback hook is used for callback of an answer selected/filled by a tester, when the tester submits the answer or the time is over, the report answer callback hook is triggered to obtain the answer selected/filled by the tester, whether the answer is correct is detected by the answer detection method, and the answer option list is in a picture form.
For example, the content of answer options generated according to the picture option component is shown in fig. 6, and the picture option component can generate multiple answer types such as picture options.
Specifically, the recording option component includes parameters such as a reading sentence, a recording time and the like, and provides a reporting answer callback hook, a recording state callback hook, an audio playing stopping callback hook, an answer detection method, an answer scoring method and a recording sound wave supporting rendering, wherein the reading sentence parameter is used for receiving voice information of a tester, the recording time parameter is used for controlling the input time of the tester, the reporting answer callback hook is used for callback an answer uploaded by the tester, when the tester uploads the answer or the time is over, the reporting answer callback hook is triggered to obtain the answer uploaded by the tester, whether the answer is correct or not is detected by the answer detection method, the recording state callback hook is used for processing the recorded audio in real time, when the recorded audio of the tester is detected, the recording state callback hook is called to process the recorded audio of the tester to obtain a better sound effect, the audio playing stopping hook is used for controlling stopping or other operations when the tester stops playing the audio, the audio playing callback is called to stop playing, the playing of the audio playing method is called, and the audio playing callback is better based on the sound wave playing effect of the audio playing system.
For example, the content of answer options generated according to the recording option component is shown in fig. 7, and the recording option component can generate a plurality of answer types such as reading answer, replying answer, dialogue answer and the like.
Specifically, after the audio uploaded by the tester is obtained, scoring is performed based on the relaxation sound, and whether the voice is correct or not is judged, wherein the relaxation sound is a Chinese and English oral evaluation system, and the oral level can be scored.
Specifically, the scheme controls the components through the callback hooks, so that the split combination of the components is simpler.
Specifically, the scheme has the advantages of achieving the effect of being used immediately by highly packaging various components, being simple and convenient to use, having high expansibility and being capable of adding new question types at any time.
In some embodiments, the content of the question stem corresponds to the content of the answer option when the questions are generated, so that the content of the question stem and the content of the answer option are guaranteed to be the same questions when the questions are generated, the problem that the questions are not answered can not occur, and various abstract components can also guarantee that the same questions of different types are generated.
In some embodiments, a countdown component is added to each question in the question bank, which is used to control the answer time of each question.
Specifically, the countdown component abstracts that the countdown component includes an effect of providing countdown, a method of ending countdown, a callback hook of ending countdown, a total time parameter of countdown, etc. for displaying time information, the method of ending countdown includes that the answer is ended when reaching the set time or the answer of the tester is completed, etc., the callback hook of ending countdown is used for detecting whether reaching the set time so as to carry out subsequent operation, and the total time parameter of countdown is used for controlling the answer time of each question, defaults to 60s.
In some embodiments, in the step of selecting the question type component and the option component corresponding to the same question from the question library generating module and the option module to generate the same question in different forms, the different question type components in the question library generating module and the different option components in the option module are arranged and combined at will to obtain a question, wherein the question at least comprises a question type and a question answering type, and if the question simultaneously comprises a plurality of question type components and/or a plurality of option components, a union of a plurality of question type components and/or a union of a plurality of option components is taken to be combined into the question.
Specifically, various types of questions are obtained according to the arrangement and combination mode, and finally the obtained questions are shown in fig. 8.
In some embodiments, answer information of each question by the tester is obtained as a test result, and the test result is recorded in an object, wherein the test result comprises a difficulty level, a question ID and an answer result.
In some embodiments, the questions in the question bank are classified into different difficulty levels according to different difficulties, the questions under the different difficulty levels are used for testing the testers to determine reasonable difficulty levels of the testers, and then the questions with different question types in the reasonable difficulty levels are called for testing the testers to obtain test results, and the test results are scored to obtain English levels of the testers.
Specifically, the question type and the difficulty of each question are judged, a question group is formed according to different question types and the difficulty of each question, the question group is stored in a question bank, each question group comprises sub-question packages with all difficulty levels, each sub-question package comprises questions of each type, the number of the questions of each type in the sub-question package is the same, the mode of generating the question group is shown in fig. 9, mapReduce in fig. 9 is a programming model used for parallel operation of a large-scale data set, and in the scheme, the assembly can be split and combined on the MapReduce.
In some embodiments, in the step of testing the tester with questions of different difficulty levels to obtain a reasonable difficulty level of the tester, the tester is tested with a first number of questions of the lowest difficulty level first, a correct rate interval is set, the correct rate of the tester is judged, if the correct rate of the tester is greater than the correct rate interval, the difficulty level is increased, and if the correct rate of the tester is less than the correct rate interval, the difficulty level is decreased until the correct rate of the tester is within the correct rate interval.
Specifically, the questions of different question types can be used for testing the testers according to actual conditions to confirm reasonable difficulty levels.
As shown in fig. 10, the server extracts three types of question packets of basic type, spoken language type and hearing type from the question library, each question packet group includes sub-question packets of 1-5 difficulty levels, the initial difficulty level is set to 1, the answer order is the basic type, the spoken language type and the hearing type, the difficulty level of the tester is confirmed through the questions of the basic type, and the accuracy interval is set to (0.4, 0.8), that is, if the number of answer errors of the tester is greater than or equal to 3 (i.e., the accuracy is less than 0.4), the difficulty level is reduced, if the number of answer errors of the tester is greater than or equal to 5 (i.e., the accuracy is greater than 0.8), the difficulty level is increased, and when the reasonable difficulty level is obtained or the difficulty level is the highest, the test is performed.
In some embodiments, in the step of scoring the test result to obtain the english level of the tester, the test result is recorded in an object, where the test result includes a difficulty level, a question ID, and an answer result.
Specifically, if the answer result is correct, the score is 100, the error is 0, and the audio answer is scored according to the relaxation.
Example two
Based on the same conception, referring to fig. 11, the application also provides an english question setting device for splitting and combining the components, comprising:
the construction module comprises: constructing a question stem module, an option module and a question bank generation module;
the stem module: the method comprises the steps of pre-storing question type components corresponding to at least one question type, wherein each question type component displays the content of a question stem according to the corresponding question type;
an option module: the method comprises the steps of pre-storing option components corresponding to at least one answer type, wherein each option component displays answer option content in a corresponding answer type, and associates a question component corresponding to the question stem content of the same question with an option component corresponding to the answer option content;
the question bank generation module: and selecting a question type component and an option component corresponding to the same question from the question stem module and the option module to generate the same questions of different questions, and integrating all the questions to obtain a question bank.
Example III
This embodiment also provides an electronic device, referring to fig. 12, comprising a memory 404 and a processor 402, the memory 404 having stored therein a computer program, the processor 402 being arranged to run the computer program to perform the steps of any of the method embodiments described above.
In particular, the processor 402 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured as one or more integrated circuits that implement embodiments of the present application.
The memory 404 may include, among other things, mass storage 404 for data or instructions. By way of example, and not limitation, memory 404 may comprise a Hard Disk Drive (HDD), floppy disk drive, solid State Drive (SSD), flash memory, optical disk, magneto-optical disk, tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Memory 404 may include removable or non-removable (or fixed) media, where appropriate. Memory 404 may be internal or external to the data processing apparatus, where appropriate. In a particular embodiment, the memory 404 is a Non-Volatile (Non-Volatile) memory. In particular embodiments, memory 404 includes Read-only memory (ROM) and Random Access Memory (RAM). Where appropriate, the ROM may be a mask-programmed ROM, a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), an electrically rewritable ROM (EAROM) or FLASH memory (FLASH) or a combination of two or more of these. The RAM may be Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM) where appropriate, and the DRAM may be fast page mode dynamic random access memory 404 (FPMDRAM), extended Data Output Dynamic Random Access Memory (EDODRAM), synchronous Dynamic Random Access Memory (SDRAM), or the like.
Memory 404 may be used to store or cache various data files that need to be processed and/or used for communication, as well as possible computer program instructions for execution by processor 402.
The processor 402 reads and executes the computer program instructions stored in the memory 404 to implement any of the english question method based on the component splitting combination in the above-described embodiments.
Optionally, the electronic apparatus may further include a transmission device 406 and an input/output device 408, where the transmission device 406 is connected to the processor 402 and the input/output device 408 is connected to the processor 402.
The transmission device 406 may be used to receive or transmit data via a network. Specific examples of the network described above may include a wired or wireless network provided by a communication provider of the electronic device. In one example, the transmission device includes a network adapter (Network Interface Controller, simply referred to as NIC) that can connect to other network devices through the base station to communicate with the internet. In one example, the transmission device 406 may be a Radio Frequency (RF) module, which is configured to communicate with the internet wirelessly.
The input-output device 408 is used to input or output information. In this embodiment, the input information may be various question type components, various option components, etc., and the output information may be questions with different reminders and different difficulty levels.
Alternatively, in the present embodiment, the above-mentioned processor 402 may be configured to execute the following steps by a computer program:
s101, constructing a question stem module, an option module and a question bank generation module;
s102, pre-storing a question type component corresponding to at least one question type in the question stem module, wherein each question type component displays the content of the question stem according to the corresponding question type;
s103, pre-storing option components corresponding to at least one answer type in the option module, wherein each option component displays answer option contents in the corresponding answer type and associates a question component corresponding to the question stem content of the same question with an option component corresponding to the answer option content;
s104, selecting a question type component and an option component corresponding to the same question from the question stem module and the option module in the question bank generation module to generate the same questions of different question types, and integrating all the questions to obtain a question bank.
It should be noted that, specific examples in this embodiment may refer to examples described in the foregoing embodiments and alternative implementations, and this embodiment is not repeated herein.
In general, the various embodiments may be implemented in hardware or special purpose circuits, software, logic or any combination thereof. Some aspects of the application may be implemented in hardware, while other aspects may be implemented in firmware or software which may be executed by a controller, microprocessor or other computing device, although the application is not limited thereto. While various aspects of the application may be illustrated and described as block diagrams, flow charts, or using some other pictorial representation, it is well understood that these blocks, apparatus, systems, techniques or methods described herein may be implemented in, as non-limiting examples, hardware, software, firmware, special purpose circuits or logic, general purpose hardware or controller or other computing devices, or some combination thereof.
Embodiments of the application may be implemented by computer software executable by a data processor of a mobile device, such as in a processor entity, or by hardware, or by a combination of software and hardware. Computer software or programs (also referred to as program products) including software routines, applets, and/or macros can be stored in any apparatus-readable data storage medium and they include program instructions for performing particular tasks. The computer program product may include one or more computer-executable components configured to perform embodiments when the program is run. The one or more computer-executable components may be at least one software code or a portion thereof. In this regard, it should also be noted that any block of the logic flow as in fig. 12 may represent a program step, or interconnected logic circuits, blocks and functions, or a combination of program steps and logic circuits, blocks and functions. The software may be stored on a physical medium such as a memory chip or memory block implemented within a processor, a magnetic medium such as a hard disk or floppy disk, and an optical medium such as, for example, a DVD and its data variants, a CD, etc. The physical medium is a non-transitory medium.
It should be understood by those skilled in the art that the technical features of the above embodiments may be combined in any manner, and for brevity, all of the possible combinations of the technical features of the above embodiments are not described, however, they should be considered as being within the scope of the description provided herein, as long as there is no contradiction between the combinations of the technical features.
The foregoing examples illustrate only a few embodiments of the application, which are described in greater detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.

Claims (8)

1. An English question setting method based on component splitting combination is characterized by comprising the following steps:
constructing a question stem module, an option module and a question bank generation module;
the method comprises the steps that a question type component corresponding to at least one question type is pre-stored in the question stem module, wherein each question type component displays the content of a question stem in a corresponding question type, the question type component of each question type is abstracted and stored in the question stem module, the question type component is divided into a picture question type component, a sentence question type component and a voice question type component according to different question types, and a answer end detection callback hook is provided in each question type component;
the method comprises the steps that option components corresponding to at least one answer type are pre-stored in an option module, each option component displays answer option content in a corresponding answer type, a question component corresponding to the answer stem content of the same question and an option component corresponding to the answer option content are associated, the option component corresponding to each answer type is abstracted and stored in the option module, the option components are divided into sentence word option components, picture option components and recording option components according to the answer type, and a report answer callback is provided in each option component;
selecting a question type component and an option component corresponding to the same question type from a question stem module and an option module in the question bank generation module to generate the same question of different question types, carrying out random arrangement and combination on the different question type components in the question stem module and the different option components in the option module to obtain a question, wherein the question at least comprises a question type and a question answering type, if the question simultaneously comprises a plurality of question type components and/or a plurality of option components, combining the union of the plurality of question type components and/or the union of the plurality of option components into the question, integrating all the questions to obtain a question bank, dividing the questions in the question bank into different difficulty grades according to different difficulties, testing the testers by using the questions under the different difficulty grades to determine reasonable difficulty grades of the testers, calling the questions of the different question types in the reasonable grades to test the testers to obtain test results, and grading the test results to obtain English level of the testers.
2. The method for presenting questions based on split combination of components according to claim 1, wherein in the step of presenting the stem content of each question type component with the corresponding question type component, the answer end detection callback hook is used for detecting whether the answer is ended or not by the tester.
3. The method according to claim 1, wherein in the step of presenting answer option contents by each option component in a corresponding answer type, the answer callback hook is used to callback the answer selected/filled by the tester.
4. The method for setting English questions based on component splitting and combining as claimed in claim 1, wherein a countdown component is added for each question in the question bank, the countdown component is used for controlling the answering time of each question, a callback hook for ending the countdown is provided in the countdown component, and the callback hook for ending the countdown is used for detecting whether the set answering time is reached.
5. The method for English question setting based on component splitting and combining according to claim 1, wherein in the step of testing a tester by using questions of different difficulty levels to obtain reasonable difficulty levels of the tester, the tester is tested by first using a first number of questions of a lowest difficulty level, a correct rate interval is set, the correct rate of the tester is judged, if the correct rate of the tester is greater than the correct rate interval, the difficulty level is increased, and if the correct rate of the tester is less than the correct rate interval, the difficulty level is reduced until the correct rate of the tester is within the correct rate interval.
6. English device of putting a question based on subassembly split combination, its characterized in that includes:
the construction module comprises: constructing a question stem module, an option module and a question bank generation module;
the stem module: the method comprises the steps of pre-storing a question type component corresponding to at least one question type, wherein each question type component displays question information of various question types according to the corresponding question type, abstracts the question type component of each question type and stores the question type component in the question type module, and the question type component is divided into a picture question type component, a sentence question type component and a voice question type component according to different question types;
an option module: the method comprises the steps that option components corresponding to at least one answer type are prestored, each option component displays answer option content in a corresponding answer type, a question component corresponding to the question stem content of the same question and an option component corresponding to the answer option content are associated, the option component corresponding to each answer type is abstracted and stored in the option module, and the option components are divided into sentence word option components, picture option components and recording option components according to the answer type;
the question bank generation module: selecting a question type component and an option component corresponding to the same question type from a question stem module and an option module to generate the same question of different question types, randomly arranging and combining the different question type components in the question stem module and the different option components in the option module to obtain a question, wherein the question at least comprises a question type and a question answering type, if the question simultaneously comprises a plurality of question type components and/or a plurality of option components, combining a union of the plurality of question type components and/or a union of the plurality of option components to form a question, integrating all the questions to obtain a question library, classifying the questions in the question library into different difficulty grades according to different difficulties, testing the tester by using the questions under the different difficulty grades to determine the reasonable difficulty grades of the tester, calling the questions of the different question types in the reasonable difficulty grades to test the tester to obtain a test result, and grading the test result to obtain the English level of the tester.
7. An electronic device comprising a memory and a processor, wherein the memory has stored therein a computer program, the processor being arranged to run the computer program to perform a component-split-combination-based english thematic method according to any of claims 1-5.
8. A readable storage medium, wherein a computer program is stored in the readable storage medium, the computer program comprising program code for controlling a process to execute the process, the process comprising an english question method based on a split combination of components according to any one of claims 1 to 5.
CN202310627191.3A 2023-05-31 2023-05-31 English question method, device and application based on component splitting and combining Active CN116340554B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310627191.3A CN116340554B (en) 2023-05-31 2023-05-31 English question method, device and application based on component splitting and combining

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310627191.3A CN116340554B (en) 2023-05-31 2023-05-31 English question method, device and application based on component splitting and combining

Publications (2)

Publication Number Publication Date
CN116340554A CN116340554A (en) 2023-06-27
CN116340554B true CN116340554B (en) 2023-09-05

Family

ID=86879155

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310627191.3A Active CN116340554B (en) 2023-05-31 2023-05-31 English question method, device and application based on component splitting and combining

Country Status (1)

Country Link
CN (1) CN116340554B (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW201248567A (en) * 2011-05-18 2012-12-01 Smarten Tech Co Ltd Generating method for digital test paper
CN106448311A (en) * 2016-09-19 2017-02-22 福建农林大学 Method for achieving corresponding relation sequence of options and test questions in 3D question bank
CN110347379A (en) * 2019-07-15 2019-10-18 网易(杭州)网络有限公司 Processing method, device and the storage medium of combined crowdsourcing topic
CN113268970A (en) * 2021-06-07 2021-08-17 武汉华工智云科技有限公司 Method and device for generating on-line examination paper
WO2022174817A1 (en) * 2021-02-20 2022-08-25 胡润宇 Test question generation method, apparatus and system, and computer storage medium and program product
CN115934908A (en) * 2022-11-30 2023-04-07 浙江华为通信技术有限公司 Method and system for automatically generating questions

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW201248567A (en) * 2011-05-18 2012-12-01 Smarten Tech Co Ltd Generating method for digital test paper
CN106448311A (en) * 2016-09-19 2017-02-22 福建农林大学 Method for achieving corresponding relation sequence of options and test questions in 3D question bank
CN110347379A (en) * 2019-07-15 2019-10-18 网易(杭州)网络有限公司 Processing method, device and the storage medium of combined crowdsourcing topic
WO2022174817A1 (en) * 2021-02-20 2022-08-25 胡润宇 Test question generation method, apparatus and system, and computer storage medium and program product
CN113268970A (en) * 2021-06-07 2021-08-17 武汉华工智云科技有限公司 Method and device for generating on-line examination paper
CN115934908A (en) * 2022-11-30 2023-04-07 浙江华为通信技术有限公司 Method and system for automatically generating questions

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
多选题型的计算机组卷策略及评分算法设计;田振清;陈梅;;内蒙古师范大学学报(自然科学汉文版)(第03期);70-75 *

Also Published As

Publication number Publication date
CN116340554A (en) 2023-06-27

Similar Documents

Publication Publication Date Title
JP5669630B2 (en) Test case generation method, program and system
CN111062580B (en) Matching method of staff and target item and electronic equipment
CN105446874B (en) A kind of detection method and device of resource distribution file
CN106055464B (en) Data buffer storage testing schooling pressure device and method
CN105653338B (en) A kind of update method and device of application
CN108804305A (en) A kind of method and device of automatic test
CN112148580A (en) Test method and device and electronic equipment
CN112905451B (en) Automatic testing method and device for application program
CN115809203A (en) Software test case dynamic nesting method, device and application thereof
CN114117977B (en) Method suitable for automatically verifying processor system scene
CN107220165A (en) The method and apparatus of pressure test on a kind of artificial line
CN116340554B (en) English question method, device and application based on component splitting and combining
CN109697164A (en) Test method, device, storage medium and the terminal of App have been adjusted in browser
US20160179656A1 (en) Automatically testing firmware
CN111782266B (en) Software performance benchmark determination method and device
CN113051163A (en) Unit testing method, unit testing device, electronic equipment and storage medium
CN113742461A (en) Dialogue system test method and device and statement rewriting method
CN109815083B (en) Application crash monitoring method and device, electronic equipment and medium
US5319579A (en) Simulation of human performance of a process operation procedure
CN115987821A (en) Gateway routing test method and device
CN112651199B (en) Quality Verification Platform and Quality Verification Method
CN109144518A (en) A kind of image file construction method and device based on jenkins
CN107590039A (en) A kind of continuous test method, device and storage medium
CN109992514B (en) Mobile application dynamic analysis method based on visual content
CN112860585A (en) Test script assertion generation method and device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant