CN116340657A - Test question searching method and device based on user behaviors - Google Patents
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Abstract
The invention relates to a test question searching method and device based on user behaviors. The test question searching method based on the user behavior comprises the following steps of obtaining test question data and behavior data which are processed by a current user; the test question data at least comprises answer data, question solving step data, prompt information data corresponding to the question solving step data and knowledge point data corresponding to the question solving step data; the behavior data at least comprises effective behavior data corresponding to the solving step data, ineffective behavior data incapable of corresponding to the solving step data and feedback behavior data; judging whether the test question data are displayed in a preset mode or not based on the behavior data of the current user; if yes, acquiring associated data of test question data based on the test question data of the current user; the test question searching method and device based on the user behaviors improve the comprehensiveness and the usability of knowledge points, improve the capability of users to solve difficulties, and are convenient to popularize and use.
Description
Technical Field
The invention belongs to the technical field of test question searching, and particularly relates to a test question searching method and device based on user behaviors.
Background
With the rapid development of internet technology, more and more users learn and work through the internet, and some student users search for wrong questions or problems in the examination so as to seek solutions, so as to consolidate their own learning knowledge. In the prior art, if a user searches a test question, the closest test question and answer are usually displayed to the user according to the similarity, so that the user can conveniently check the answer.
The searching mode in the prior art is too single, and the user is required to input related test questions to a search engine, so that the operation is complicated; for some complex topics, the user may be unfamiliar with only a part of knowledge points, and after the user views the answers, the user often loses the power of repeating one pass, so that the user cannot learn to use the complex topics conveniently.
Disclosure of Invention
The invention aims to solve the problems and provide a test question searching method and device based on user behaviors, which are simple in structure and reasonable in design.
The invention realizes the above purpose through the following technical scheme:
the first aspect of the present invention provides a test question searching method based on user behavior, the method comprising the steps of,
acquiring test question data and behavior data which are currently processed by a user;
the test question data at least comprises answer data, question solving step data, prompt information data corresponding to the question solving step data and knowledge point data corresponding to the question solving step data;
the behavior data at least comprises effective behavior data corresponding to the solving step data, ineffective behavior data incapable of corresponding to the solving step data and feedback behavior data;
judging whether the test question data are displayed in a preset mode or not based on the behavior data of the current user;
if yes, acquiring the associated data of the test question data based on the test question data of the current user, and displaying the associated data in a preset mode;
if not, the test question data and the behavior data corresponding to the test question data are associated and stored.
As a further optimization scheme of the invention, a specific method for obtaining the test question data currently being processed by the user,
collecting test question data, obtaining a question answering area corresponding to the test question data, and obtaining writing information in the question answering area; the method comprises the steps of obtaining a trigger signal, obtaining real-time writing information in an answer area, obtaining answer step data corresponding to the writing information, obtaining prompt information data corresponding to the answer step data at the current or next step, and displaying in a preset mode.
As a further optimization scheme of the invention, the trigger signal is composed of data of one or any combination of the following: specific behavior data, residence time exceeding the preset answer area corresponding to the test question data, and invalid behavior data.
As a further optimization scheme of the invention, first test question data processed in a current time period of a current user is obtained, second test question data processed in a previous time period of the current user is obtained, writing information in a question answering area corresponding to the second test question data is obtained, and effective behavior data and ineffective behavior data in behavior data corresponding to the second test question data are judged based on the writing information and answer data corresponding to the second test question data; and obtaining the score corresponding to the second test question data based on the effective behavior data.
As a further optimization scheme of the invention, judging whether writing information corresponding to the second test question data is matched with answer data corresponding to the second test question data; if the effective behavior data and the ineffective behavior data are matched, judging and obtaining scores based on the effective behavior data; if the specific gravity of the effective behavior data exceeds a threshold value, judging that the user behavior is feedback behavior data, uploading the feedback behavior data to a verification terminal, and displaying the feedback behavior data in a preset mode; if the effective behavior data and the ineffective behavior data are not matched, the score is judged and obtained based on the effective behavior data.
As a further optimization scheme of the invention, the related test question data is obtained based on the triggering signal, the writing information, the question solving step data and the knowledge point data of the current test question data and displayed in a preset mode.
According to the invention, as a further optimization scheme, based on a trigger signal of the current test question data, real-time writing information corresponding to the current test question data is obtained, question solving step data corresponding to the writing information is obtained, knowledge point data corresponding to the question solving step data in the current or/and next step is obtained, and first priority associated test question data is obtained; and obtaining knowledge point data based on the step data of solving the questions which are not corresponding to the written information, and obtaining second priority associated test question data.
The second aspect of the present invention provides a test question searching device based on user behavior, the device comprising a memory and a processor, wherein the memory comprises a test question searching method program based on user behavior, and the test question searching method program based on user behavior realizes the method when being executed by the processor;
the device also comprises an acquisition module configured to acquire written information data of the user in real time;
and the display module is configured to display the prompt information data based on a preset mode.
As a further optimization scheme of the invention, the device is fixed terminal equipment or mobile terminal equipment.
As a further optimization scheme of the invention, the acquisition module is an image acquisition device, and the display module is a laser projector.
The invention has the beneficial effects that: the invention carries out prompt and search on the corresponding knowledge point part in a mode of decomposing the question information, is convenient for improving the thinking capability of the user, increases the question solving interest of the user, can prompt the knowledge point firstly, learn the corresponding knowledge point in actual setting, then recommend the corresponding associated test question based on the corresponding knowledge point, finally carry out question solving by returning the question information, and correlate various knowledge points for consolidating knowledge, improving the comprehensiveness and usability of the knowledge point, improving the capability of the user for solving difficulties and being convenient for popularization and use.
Drawings
FIG. 1 is a flow chart of a test question searching method based on user behavior;
FIG. 2 is a flow chart of a method for obtaining test question data currently being processed by a user according to the present invention;
FIG. 3 is a flowchart of a search method when a trigger signal is not triggered;
fig. 4 is a schematic block diagram of a test question searching apparatus based on user behavior according to the present invention.
Detailed Description
The following detailed description of the present application is provided in conjunction with the accompanying drawings, and it is to be understood that the following detailed description is merely illustrative of the application and is not to be construed as limiting the scope of the application, since numerous insubstantial modifications and adaptations of the application will be to those skilled in the art in light of the foregoing disclosure.
Example 1
The present embodiments are operational with numerous general purpose or special purpose computing device environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet devices, multiprocessor devices, distributed computing environments that include any of the above devices or devices, and the like.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
As shown in fig. 1, a test question searching method based on user behavior, the method comprising the steps of,
step S102, obtaining test question data and behavior data which are processed by a current user;
the test question data at least comprises answer data, question solving step data, prompt information data corresponding to the question solving step data and knowledge point data corresponding to the question solving step data;
the behavior data at least comprises effective behavior data corresponding to the solving step data, ineffective behavior data incapable of corresponding to the solving step data and feedback behavior data;
step S104, judging whether the test question data is displayed in a preset mode or not based on the behavior data of the current user;
step S105, if yes, acquiring the associated data of the test question data based on the test question data of the current user, and displaying the associated data in a preset mode;
step S106, if not, the test question data and the behavior data corresponding to the test question data are associated and stored.
It should be noted that, in this embodiment, the relevant data in the above scheme is general summary, including, but not limited to, prompt information data, knowledge point data and relevant test question data, and the test question data being processed by the current user and the behavior data of the current user are collected to implement prompting of the test question under a set scenario, so as to help the user think, solve the test question, and analyze the test question based on the occurrence time of the prompting, so that similar knowledge points and question types are recommended, helping the user deepen learning of the knowledge points, helping the user adapt to the processing mode of the relevant question types of the knowledge points, and facilitating improvement of learning efficiency of the user.
Further, a specific method for obtaining the test question data which is being processed by the current user,
as shown in fig. 2, collecting test question data, obtaining a question answering area corresponding to the test question data, and obtaining writing information in the question answering area; the method comprises the steps of obtaining a trigger signal, obtaining real-time writing information in an answer area, obtaining answer step data corresponding to the writing information, obtaining prompt information data corresponding to the answer step data at the current or next step, and displaying in a preset mode.
When the method is used for writing test questions in an electronic product, the test question data being processed can be judged by the following method: 1. question data being displayed by the display; 2. inputting test question data corresponding to the position of a cursor of a character; 3. a region entered by the graphical inputter (e.g., a capacitive stylus); or other existing methods for inputting information into electronic products, wherein the test question information corresponding to the current region to be input information is the test question information to be processed; the prompt information data can be directly displayed in a screen of the electronic product;
when the method writes on the writing paper, the position of the writing pen can be acquired through the camera, and the method can be matched with the writing pen with the camera (namely the acquisition module), but in actual use, the corresponding camera or a helmet, a headband and the like with the camera can be erected on the desktop, so that the writing information of a test taker in writing can be acquired in a overlooking view; the presentation data may be displayed by a separate electronic display or may be displayed by projection or laser, as will be described in detail in example 2.
Further, the trigger signal is formed by data of one or any combination of the following: specific behavior data, residence time exceeding the preset answer area corresponding to the test question data, and invalid behavior data.
In the method, the specific behavior data can be a specific gesture, a mouse cursor triggering a specific graph, activating a specific key, and the like.
The problem solving time can be preset in a mode of carrying out average problem solving time and adaptation time on each type of test problem data; optimally, the time can be reasonably distributed in the problem solving step data, when a user writes, the writing step is judged to correspond to any step in the problem solving step data, then based on the last corresponding data, the next corresponding data is judged to be activated after the set time, and if the next corresponding data is not matched and activated after the set time, whether the prompt information data is displayed or not can be considered; of course, in actual use, the user may also define the relevant speed himself to ensure training within a specified time.
The prompt information data can also be triggered based on the invalid behavior data after the invalid behavior data is identified; the method comprises the steps that when invalid behavior data is solved, if invalid text information is input too much to a set threshold value or specific wrong text information is input, the invalid behavior data can be set to improve the time accuracy of triggering prompt information data by the invalid behavior data, and specifically, if the invalid text information is input too much to the set threshold value or specific wrong text information is input when the Chinese test questions are solved, the invalid behavior data can be judged that a trigger signal is activated; in a specific example, if the article is judged to be a prose or a thesis, if the input information (written information) of the user has a 'prose' keyword, the trigger information can be considered to be activated, and at this time, each thesis point of the thesis can be marked in the thesis information by using fonts with other colors and used as the prompt information; the feature information of the treatises and the feature information of the prosecution (similarly, the knowledge points may be displayed) may be displayed in the blank.
As shown in fig. 3, further, first test question data processed in a current time period of a current user is obtained, second test question data processed in a previous time period of the current user is obtained, writing information in a question answering area corresponding to the second test question data is obtained, and valid behavior data and invalid behavior data in behavior data corresponding to the second test question data are judged based on the writing information and answer data corresponding to the second test question data; and obtaining the score corresponding to the second test question data based on the effective behavior data.
In this scheme, it should be noted that many times, the answer of the literature is not very limited, many questions are the demonstration of related views, for this type of questions, only when the user finishes writing the question, i.e. jumps to the next question (the first test question data), the answer of the previous question (the second test question data) is terminated, at this time, the device or system in this application starts to compare and analyze the writing information of the previous question (the second test question data) with the answer data, matches the related test question data based on the corresponding analysis, and is convenient for the associated generation of the subsequent questions in the electronic product of automatically generating the test questions.
Specifically, whether writing information corresponding to the second test question data is matched with answer data corresponding to the second test question data or not is judged; if the effective behavior data and the ineffective behavior data are matched, judging and obtaining scores based on the effective behavior data; if the specific gravity of the effective behavior data exceeds a threshold value, judging that the user behavior is feedback behavior data, uploading the feedback behavior data to a verification terminal, and displaying the feedback behavior data in a preset mode; if the effective behavior data and the ineffective behavior data are not matched, the score is judged and obtained based on the effective behavior data.
The specific gravity of the effective behavior data is the specific gravity of the sum of the effective behavior data and the effective behavior data plus the ineffective behavior data, and generally, when whether the effective behavior data is too low or not is considered, the user behavior is judged to be feedback behavior data; in actual use, the scheme particularly judges whether the user adopts other step methods to obtain a correct answer or not, so that the answer can be uploaded to a background computer, checked by a checking terminal, generally analyzed and judged by an authoritative teacher expert, and if the answer is really other effective step methods, data processing can be performed and recorded into the method and the system of the application.
Still further, based on the triggering signal, writing information, solving step data and knowledge point data of the current test question data, obtaining the related test question data, and displaying in a preset mode.
Specifically, based on a trigger signal of the current test question data, real-time writing information corresponding to the current test question data is obtained, question solving step data corresponding to the writing information is obtained, knowledge point data corresponding to the question solving step data at the current or/and next step is obtained, and first priority associated test question data is obtained; and obtaining knowledge point data based on the step data of solving the questions which are not corresponding to the written information, and obtaining second priority associated test question data.
By the scheme, the user can know the unskilled or inexperienced knowledge points, the small specific knowledge points are used for searching and recommending the related test questions, the related knowledge points are consolidated, and the related test questions of the related large-type knowledge points which are comprehensively applied are recommended, so that the practice efficiency and effect of the user are improved; the scheme of the embodiment of the application not only can meet the search requirement of the user, but also improves the search efficiency and further improves the search experience of the user.
Taking the problem type of the trigonometric function in the high-school data as an example, when a user cannot decompose the related trigonometric function in the first step, the method can prompt the corresponding specific formula in the first step, provide the related problem based on the knowledge points of the formula, and then solve the problem again; the corresponding specific formula of the first step can be prompted firstly, a user is blocked in the later step, a corresponding trigger signal is activated, and then the corresponding specific formula is prompted until the problem is ended, and corresponding associated problems are provided for the user in sequence for training and consolidating use based on knowledge points of the prompted part; both modes can be freely selected by users.
The above-mentioned providing of the corresponding subjects is preferably carried out by the electronic product, and if the electronic product is combined with paper, the corresponding data can be obtained by the background computer and printed and distributed.
Example 2
As shown in fig. 4, a test question searching apparatus based on user behavior includes a memory 21 and a processor 22, wherein the memory 21 includes a test question searching method program based on user behavior, and the test question searching method program based on user behavior realizes the above method when being executed by the processor 22;
the device further comprises an acquisition module 23 configured to acquire written information data of the user in real time;
and a display module 24 configured to display the prompt information data based on a preset manner.
Further, the apparatus in this embodiment may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for executing the method in embodiment 1 described above.
More specifically, the device can be fixed terminal equipment or mobile terminal equipment or a combination of the fixed terminal equipment and the mobile terminal equipment, such as mobile phones, flat plates and the like, can also be fixed-position computer terminal equipment, can also be used in a matched mode, and is convenient to adapt to writing and searching of electronic test questions and paper test questions.
On the other hand, the present embodiment further provides a special manner, where the acquisition module 23 is an image acquisition device, and the display module 24 is a laser projector.
The image acquisition device is a high-definition camera, namely a writing pen with a camera (namely an acquisition module) is matched for use, but in actual use, the corresponding camera or a helmet, a headband and the like with the camera can be erected on a desktop, so that writing information of a test taker during writing can be acquired in a overlooking view; the display module 24 may be used for projection by a laser projector provided on a table top.
When the color marking device is used, the existing acquisition module 23 performs data acquisition and test paper positioning, and then the laser projector projects the test paper, so that the color marking on the test questions can be satisfied.
When the test question searching method and device based on the user behaviors are used, the corresponding knowledge point part is prompted and searched in a mode of decomposing the question information, so that the thinking capability of a user is improved, the question solving interest of the user is increased, in actual setting, the knowledge point can be prompted first, the corresponding knowledge point is learned, then the corresponding associated test questions are recommended based on the corresponding knowledge point, finally the question information is returned to solve the questions, and various knowledge points are associated with each other to consolidate knowledge, improve the comprehensiveness and usability of the knowledge point, improve the difficulty solving capability of the user and facilitate popularization and use.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (10)
1. A test question searching method based on user behavior is characterized by comprising the following steps,
acquiring test question data and behavior data which are currently processed by a user;
the test question data at least comprises answer data, question solving step data, prompt information data corresponding to the question solving step data and knowledge point data corresponding to the question solving step data;
the behavior data at least comprises effective behavior data corresponding to the solving step data, ineffective behavior data incapable of corresponding to the solving step data and feedback behavior data;
judging whether the test question data are displayed in a preset mode or not based on the behavior data of the current user;
if yes, acquiring the associated data of the test question data based on the test question data of the current user, and displaying the associated data in a preset mode;
if not, the test question data and the behavior data corresponding to the test question data are associated and stored.
2. The test question searching method based on the user behavior according to claim 1, wherein the method comprises the following steps: the specific method for obtaining the test question data which is being processed by the current user comprises the steps of collecting the test question data, obtaining a question answering area corresponding to the test question data, and obtaining writing information in the question answering area; the method comprises the steps of obtaining a trigger signal, obtaining real-time writing information in an answer area, obtaining answer step data corresponding to the writing information, obtaining prompt information data corresponding to the answer step data at the current or next step, and displaying in a preset mode.
3. The test question searching method based on the user behavior according to claim 2, wherein the method comprises the following steps: the trigger signal is formed by data of one or any combination of the following: specific behavior data, residence time exceeding the preset answer area corresponding to the test question data, and invalid behavior data.
4. The test question searching method based on the user behavior according to claim 2, wherein the method comprises the following steps: acquiring first test question data processed in a current time period of a current user, acquiring second test question data processed in a previous time period of the current user, acquiring writing information in a answer area corresponding to the second test question data, and judging effective behavior data and ineffective behavior data in behavior data corresponding to the second test question data based on the writing information and the answer data corresponding to the second test question data; and obtaining the score corresponding to the second test question data based on the effective behavior data.
5. The test question searching method based on the user behavior according to claim 4, wherein the method comprises the following steps: judging whether writing information corresponding to the second test question data is matched with answer data corresponding to the second test question data or not; if the effective behavior data and the ineffective behavior data are matched, judging and obtaining scores based on the effective behavior data; if the specific gravity of the effective behavior data exceeds a threshold value, judging that the user behavior is feedback behavior data, uploading the feedback behavior data to a verification terminal, and displaying the feedback behavior data in a preset mode; if the effective behavior data and the ineffective behavior data are not matched, the score is judged and obtained based on the effective behavior data.
6. The test question searching method based on the user behavior according to claim 5, wherein the method comprises the following steps: based on the triggering signal, writing information, solving step data and knowledge point data of the current test question data, obtaining related test question data, and displaying in a preset mode.
7. The test question searching method based on the user behavior according to claim 6, wherein the method comprises the following steps: based on a trigger signal of the current test question data, acquiring real-time writing information corresponding to the current test question data, acquiring question solving step data corresponding to the writing information, acquiring knowledge point data corresponding to the question solving step data of the current or/and the next step, and acquiring first priority associated test question data; and obtaining knowledge point data based on the step data of solving the questions which are not corresponding to the written information, and obtaining second priority associated test question data.
8. The test question searching device based on the user behavior is characterized by comprising a memory and a processor, wherein the memory comprises a test question searching method program based on the user behavior, and the test question searching method based on the user behavior is realized when the test question searching method program based on the user behavior is executed by the processor;
the device also comprises an acquisition module configured to acquire written information data of the user in real time;
and the display module is configured to display the prompt information data based on a preset mode.
9. The test question searching apparatus based on user behavior according to claim 8, wherein: the device is fixed terminal equipment or mobile terminal equipment.
10. The test question searching apparatus based on user behavior according to claim 8, wherein: the acquisition module is an image acquisition device, and the display module is a laser projector.
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| CN108920663A (en) * | 2018-07-04 | 2018-11-30 | 北京希子教育科技有限公司 | A kind of method of automatic recommendation item content |
| CN111967328A (en) * | 2020-07-16 | 2020-11-20 | 深圳市沃特沃德股份有限公司 | Method for tutoring operation, intelligent drawing robot and server |
| CN112509404A (en) * | 2020-11-19 | 2021-03-16 | 江苏乐易学教育科技有限公司 | Teaching system and teaching method for space geometric thinking process |
| CN116150319A (en) * | 2022-12-30 | 2023-05-23 | 科大讯飞股份有限公司 | Auxiliary answering method, device, electronic equipment and storage medium |
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