CN110444065B - Reading assisting method and device, storage medium and intelligent device - Google Patents

Reading assisting method and device, storage medium and intelligent device Download PDF

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CN110444065B
CN110444065B CN201910746074.2A CN201910746074A CN110444065B CN 110444065 B CN110444065 B CN 110444065B CN 201910746074 A CN201910746074 A CN 201910746074A CN 110444065 B CN110444065 B CN 110444065B
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李跃桢
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Shenzhen waterward Software Technology Co.,Ltd.
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    • G09B7/00Electrically-operated teaching apparatus or devices working with questions and answers
    • G09B7/02Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
    • G09B7/04Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question, supplying a further explanation

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Abstract

The invention discloses an auxiliary reading method, an auxiliary reading device, a storage medium and intelligent equipment, wherein the method comprises the following steps: judging whether the reading progress of the user on the reading content reaches a question making starting condition or not; if yes, one or more pre-stored test questions are conveyed to the user according to a preset rule; receiving test question answers input by a user aiming at corresponding test questions, comparing the test question answers with standard answers of the test questions, and judging whether the test question answers are correct or not; if the answer of the test question is wrong, the user is guided to redo the wrong answer test question with the wrong answer according to a preset rule, and the mastering state of the wrong answer test question by the user is judged according to the number of times of the wrong answer test question by the user. The method can further judge the mastering state of the knowledge points by the user on the basis of preliminarily judging whether the knowledge points are mastered through the test questions, judge the reading quality and knowledge mastering defects of the user and assist the user in high-quality reading.

Description

Reading assisting method and device, storage medium and intelligent device
Technical Field
The invention relates to the field of intelligent robots, in particular to an auxiliary reading method, an auxiliary reading device, a storage medium and intelligent equipment.
Background
The pressure of people's life is all bigger now, for the life of the student, people often need to spend a lot of time at work, consequently, lead to companion's time too little, and the self-control ability of low grade student is relatively poor, often need someone to supervise the ability just to go on aside when doing homework, for improving student's learning quality, often pass through robot monitoring student's reading progress nowadays, and can check and consolidate through the exercise after reaching reading volume, however, the reading ware of present day just can judge whether the answer is correct, however, only through the correctness of answer, it is not accurate enough to grasp the condition to student's knowledge, supplementary effect is urgent to wait to strengthen.
Disclosure of Invention
The invention mainly aims to provide an auxiliary reading method, an auxiliary reading device, a storage medium and intelligent equipment, which are used for solving the problem that the judgment on the knowledge mastering condition of students is not accurate enough.
The invention provides an auxiliary reading method, which comprises the following steps:
judging whether the reading progress of the user on the reading content reaches a question making starting condition or not;
if yes, one or more pre-stored test questions are conveyed to the user according to a preset rule;
receiving test question answers input by a user aiming at corresponding test questions, comparing the test question answers with standard answers of the test questions, and judging whether the test question answers are correct or not;
if the answer of the test question is wrong, the user is guided to redo the wrong answer test question with the wrong answer according to a preset rule, and the mastering state of the wrong answer test question by the user is judged according to the number of times of the wrong answer test question by the user.
Further, the step of judging whether the reading progress of the reading content of the user reaches the question making starting condition includes:
judging whether an abort signal sent by a user, an abort signal sent by a preset third party or a read time reaching a set time are received;
if yes, judging that the question making starting condition is reached.
Further, after the step of determining whether the answer to the test question is correct, the method includes:
if the test questions with correct answers exist and each wrong answer test question judges the mastering state of the user on the wrong answer test question, the next stage of reading is opened, a preset encouraging prompt tone is sent, and the encouraging prompt tone simulates sounding according to a preset specific voiceprint.
Further, the step of judging the mastering state of the user for the wrong answer test questions according to the wrong answer times of the user for the wrong answer test questions comprises the following steps:
reading the reading content to a corresponding answer reading part according to the wrong answer test questions, or assisting the user to find the answer reading part through a reminding program, wherein the answer reading part is an answer giving part corresponding to the wrong answer test questions, and the answer reading part and the answers are preset to have a corresponding relation;
when a part for completing reading of the wrong test questions by the user is obtained, the wrong-answer test questions are conveyed to the user again, and whether the obtained answers input by the user for the wrong-answer test questions are correct or not is judged again according to preset answers of the test questions;
if the answer is wrong, repeatedly finding a solution reading part and transmitting the wrong answer test questions to the user; when the correct answer input by the user for the wrong answer test question is obtained, or the number of times of the wrong answer input by the user for the wrong answer test question reaches a set value, the number of times of the wrong answer of the user for the wrong answer test question is obtained;
and generating a user's grasp state of the wrong answer test questions according to the wrong answer times of the wrong answer test questions and a preset judgment rule.
Further, the step of judging the mastering state of the user for the wrong answer test questions according to the wrong answer times of the user for the wrong answer test questions comprises the following steps:
importing the data of the wrong answer test and the wrong answer times into a preset judgment model, wherein the data of the wrong answer test comprises knowledge points corresponding to the wrong answer test and corresponding chapter information;
and processing the data of the wrong answers and the wrong answer times through the judgment model to generate a state table, wherein the state table comprises the data of the wrong answers and the mastery state.
Further, after the step of judging the grasping state of the wrong answer test questions according to the preset guidance flow, the method comprises the following steps:
when the reading amount is detected to finish the current day reading plan amount, starting an auxiliary scheme for key wrong-answer test questions with the palm holding state in the wrong-answer test questions as a preset state, wherein the auxiliary scheme is used for assisting a user in disassembling and analyzing the key wrong-answer test questions.
Further, an assistance scheme, comprising:
matching preset disassembly problems matched with the key wrong answer test questions in a database according to the key wrong answer test questions;
sending the disassembly problem to a user;
judging whether the answer about the disassembly question input by the user is correct or not according to the preset answer for the disassembly question;
and outputting a detailed judgment table through the judgment result of the answer of the disassembled problem, wherein the detailed judgment table comprises the answer judgment result of the disassembled problem and the detailed knowledge points corresponding to the disassembled problem.
This application still provides an supplementary reading device based on smart machine, includes:
the starting judging module is used for judging whether the reading progress of the reading content of the user reaches a question making starting condition or not;
the first test question module is used for conveying one or more pre-stored test questions to a user according to a preset rule if a question making starting condition is met, and conveying the test questions one by one when the test questions are multiple;
the examination question module is used for receiving the answer of the test questions input by the user aiming at the corresponding test questions, comparing the answer of the test questions with the standard answer of the test questions and judging whether the answer of the test questions is correct or not;
and the continuous judging module is used for guiding the user to redo the wrong answer test questions with wrong answer answers according to a preset rule if the answers of the test questions are wrong, and judging the mastering state of the wrong answer test questions of the user according to the wrong answer times of the wrong answer test questions of the user.
The present application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, which when executed implements the reading assistance method as described above.
The application also provides an intelligent device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor implements the auxiliary reading method when executing the computer program.
The auxiliary reading method can further judge the mastering state of the knowledge points by the user on the basis of preliminarily judging whether the knowledge points are mastered through the test questions, further more carefully know the knowledge mastering conditions of the user, judge the reading quality of the user and the knowledge mastering defects of the user, and assist the user in high-quality reading.
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FIG. 1 is a schematic diagram illustrating steps of an embodiment of an assisted reading method according to the present invention;
FIG. 2 is a schematic structural diagram of an embodiment of a storage medium according to the present invention;
fig. 3 is a schematic structural diagram of an embodiment of the smart device of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, the reading assistance method provided by the present invention includes:
s1, judging whether the reading progress of the user on the reading content reaches a question making starting condition;
s2, if yes, one or more pre-stored test questions are conveyed to the user according to the preset rules;
s3, receiving test question answers input by the user aiming at the corresponding test questions, comparing the test question answers with standard answers of the test questions, and judging whether the test question answers are correct or not;
and S4, if the answer of the test question is wrong, guiding the user to redo the wrong answer test question with the wrong answer according to a preset rule, and judging the mastering state of the wrong answer test question by the user according to the wrong answer times of the wrong answer test question by the user.
In the step S1, it is determined whether the reading progress of the user reaches the condition for starting question making, and there are corresponding determination rules for different reading modes, for example, if the reading is an electronic file, it may be determined that the reading progress of the user reaches the condition for starting question making according to the instruction sent by the user for completing reading; or judging that the progress reading progress of the user reaches the question making starting condition after the user reaches the reading time; or judging that the progress reading progress of the user reaches the question making starting condition after the end mark representing the reading end of the current segment is identified and the set time is reached; the judgment can be based on an electronic reading mode or a paper book reading mode, and the judgment method also has adaptive adjustment aiming at different reading modes, so that the details are not repeated.
In the step S2, the test questions are preset, and may be set by parents in a self-defined manner or preset, and each piece of reading content may correspond to one or more test questions; when the test questions are multiple channels, the test questions are delivered one by one, the delivery mode can be one by one according to the default sequence, or the delivery mode can be the delivery mode according to the sequence selected by the user, the user selects the sequence according to all the reduced test questions, and the test questions are delivered in sequence according to the selected sequence.
In the step S3, the answer input by the user for the corresponding test question may be obtained through a display input mode, the answer input by the user for the corresponding test question may be obtained through a voice recognition mode, the answer input by the user for the corresponding test question may be obtained through scanning the content of the answer area, whether the answer is correct or not may be determined by comparing the recognized answer with the standard answer in the preset database, and when the obtained answer input by the user only includes a part of answers, whether the answer is a partial answer pair or not may be determined according to the preset rule, and the partial answer pair is also determined as an answer error; the judgment of the answer to the test questions may be made one by one, and after the judgment, if the answer is wrong, the step S4 is performed; in another embodiment, the judgment of the answers to the test questions may be to judge all the test questions after all the test questions, and if there is an answer error, the step S4 is performed.
In step S4, by further determining the wrong answer test question, the grasping state of the knowledge point corresponding to the wrong answer test question, such as basic grasping, no grasping, etc., can be more accurately determined; after the mastery state is judged, if the next reading content exists, the condition can be judged to be met, and the next reading is started; if the reading amount of the current day meets the requirement, when no other trigger signal exists, the condition can be judged not to be met, and the next reading section is not started; a preset alert tone may be played according to different scenes when performing step S4. In this embodiment, the user is guided to redo the wrong answer test questions with wrong answer answers according to the preset rules, the preset rules are preset programs, the wrong answer test questions are displayed to the user again according to program control after the conditions are met, the answers input by the user for the wrong answer test questions are obtained again, and the answers input by the user for the wrong answer test questions are judged to be wrong.
In some embodiments, if the answer obtained from each test question is correct, step S4 is followed by: when the answer of the test question is correct or the grasping state of the user on the wrong test question is judged, judging whether the test question which is not output exists;
if the test questions which are not output exist, the next test question is conveyed to the user until the test questions which are not output exist.
In the process of outputting the test questions which are not output, prompt tones such as 'baby is on stick, next question' and 'baby is added with oil, next question' and the like can be accompanied, and the prompt tones are different according to different scenes and are specifically set according to actual conditions.
When all the test questions have obtained the correct answers or the mastery status of the wrong test questions in step S2, it can be determined whether there are any other contents to be read, and if so, the above steps S1-S4 are repeated until the reading amount on the current day is completed.
Further, the step S1 of determining whether the reading progress of the user on the reading content reaches the condition for starting to do the question includes:
s11, judging whether the stop signal sent by the user, the reading time reaching the set time or the preset stop signal sent by the third party are received;
and S12, if yes, judging that the question starting condition is reached.
In the above step S11, the third party is a person responsible for supervising the user to do a question, the third party is set in advance, and when the third party is not set in advance, the third party cannot recognize the third party even if receiving the stop signal sent by the third party, the recognition here is usually voice recognition, and if the third party triggers the stop signal through a button or a touch screen, the third party defaults to the stop signal sent by the user.
In step S12, after determining that the question starting condition is reached, the starting effect may be achieved by generating a starting command.
After the step S3 of determining whether the answer to the test question is correct, the method includes:
and S31, if the test questions with correct answers exist and each wrong answer test question judges the mastering state of the user on the wrong answer test question, opening the reading of the next stage, sending a preset encouraging prompt tone, and simulating the sounding of the encouraging prompt tone according to the preset specific voiceprint.
In the step 31, if there is the content of the next-stage reading, the next-stage reading is opened, if the reading amount of the current day reaches the standard, the next-stage reading can be determined whether to be opened according to the judgment whether a command representing that the reading can be read in advance is received, if so, the next-stage reading is opened, and if not, the reading is ended; the voiceprint of parents or teachers of the user can be simulated through the simulated voiceprint, so that the user can feel more substituted, the parents or the teachers can supervise own learning, the learning efficiency is promoted, the prompt tone is preset, for example, the answer is correct, the sound can be ' baby real bar ', the next question ' is made, and the like.
When the answer of the user is determined to be wrong, there may be an incentive prompt sound, for example, "baby needs to be filled in, please listen again" for the case that the test question needs to be listened again, "baby needs to be filled in, please listen next question" for the upper limit of the number of times of answer errors.
Further, the step S4 of determining the grasping state of the user on the wrong answer test questions according to the number of times of the user on the wrong answer test questions includes:
s41, turning over the reading content to a corresponding answer reading part according to the wrong answer test questions, or assisting the user to find the answer reading part through a reminding program, wherein the answer reading part is an answer giving part corresponding to the wrong answer test questions, and the answer reading part and the answers are preset to have a corresponding relation;
s42, when the part that the user finishes reading the test questions is obtained, the wrong-answer test questions are conveyed to the user again, and whether the obtained answers input by the user for the wrong-answer test questions are correct or not is judged again according to the preset answers of the test questions;
s43, if the answer is wrong, repeatedly finding out the reading part of the answer and transmitting the wrong answer test questions to the user; when the correct answer input by the user for the wrong answer test question is obtained, or the number of times that the user inputs the wrong answer for the wrong answer test question reaches a set value, the number of times that the user answers the wrong answer test question is obtained;
and S44, generating the grasping state of the user on the wrong answer test questions according to the wrong answer times of the wrong answer test questions and a preset judgment rule.
In the step S41, if the reading content is an electronic file, the reading content can be directly returned to the corresponding content to be read through the control program, if the reading content is paper, the reminding program assists the user to find a step reading part, for example, the same voice prompt, reminds the user to turn a page to a specified page number, and indicates the part to be read through the laser pen, it should be said that the part to be read is not necessarily the content which is not read before answering, it may be that only the solution reading part for the wrong answering question is the answer giving part corresponding to the wrong answering question, the solution reading part has a preset corresponding relation with the answer, and if all questions are answered in error, the solution reading part may be the whole reading content.
In the above step S42, the determination of the reading completion resolution reading part of the user is similar to that in the step S1, which is not described herein again, wherein the determination of the reading time may be appropriately adjusted according to the setting, for example, the reading time is adjusted according to the proportion of the content to be read in the total content, and the reading time required for the content to be read is proportional to the proportion of the content to be read in the total content.
In the above step S43, the number of times that the user can answer the question is determined in advance, and when the number of times is reached, the grasping state of the question by the user can be judged according to the setting; wherein the number of times of error answering is the total number of times of error answering.
In the above step S44, the predetermined determination rule may be a range of the number of times of error in response for each grasping state, and the number of times of error in response is compared with the predetermined range so that the grasping state corresponds to the number of times of error in response, for example, 0 or less is grasped, 1 or more is greater than 0 and less than 1 is basically grasped, 1 or more is primarily grasped, 3 or less is primarily grasped, and 3 or more is not grasped.
Further, the step S44 of generating the grasping state of the wrong answer test by the user according to the number of times of wrong answers and the preset determination rule includes:
s441, importing the data of the wrong answer test questions and the wrong answer times into a preset judgment model, wherein the data of the wrong answer test questions comprise knowledge points corresponding to the wrong answer test questions and information of corresponding chapters;
and S442, processing the data of the wrong answers and the wrong answer times through the judgment model to generate a state table, wherein the state table comprises the data of the wrong answers and the mastery state.
In the above step S441, the model is determined to be set in advance.
In step S442, the palm-hold status and the wrong-answer question in the status table correspond to each other, and the general situation of the user can be clearly understood through the status table. The status table is typically used to send to a pre-configured terminal, such as a parent's cell phone.
Further, after step S4, the method for determining the grasping state of the user about the wrong-answer test questions according to the number of times of wrong answers of the user about the wrong-answer test questions includes:
and S5, when the reading amount is detected to finish the current day reading plan amount, starting an auxiliary scheme for key wrong-answer test questions with the palm holding state in the wrong-answer test questions being a preset state, wherein the auxiliary scheme is used for assisting the user in disassembling and analyzing the key wrong-answer test questions.
In the step S5, the preset status may include preliminary grasping and non-grasping, and when it is detected that the key wrong answer test question in the non-preset status is answered, the answer result information is directly sent to the preset terminal. The auxiliary scheme can assist the user in solving the problems, assist the user in solving the test problems which cannot be solved, further find out the parts which can not be really solved by the user in the test problems, and carefully analyze the mastering condition of the user on the knowledge points.
In some embodiments, the assistance scheme comprises:
s61, matching preset disassembly problems matched with the key wrong answer questions in the database according to the key wrong answer questions;
s62, sending the disassembly problem to a user;
s63, judging whether the answer about the disassembly question input by the user is correct or not according to the preset answer for the disassembly question;
and S64, outputting a detailed judgment table according to the judgment result of the answer of the disassembled question, wherein the detailed judgment table comprises the judgment result of the answer of the disassembled question and the detailed knowledge points corresponding to the disassembled question.
In step S61, the problem splitting process is performed to solve a plurality of small problems corresponding to the wrong test questions, and the solution to the problem splitting process can refine where the problem is found in the first problem solving process, so that the user can refine the knowledge of the knowledge points.
In the above step S62, the disassembly problem is sent to the user by displaying on the display screen, or by combining the display on the display screen with the voice announcement, or the like.
In the step S63, the answer is compared with the preset answer, so as to determine whether the answer is correct.
In the step S64, the detailed judgment table includes the knowledge points corresponding to the disassembled question and whether the user' S answer to the disassembled question is correct, so that the user can intuitively know the grasping condition of the corresponding knowledge points, and further the reason why the user has answered the first question incorrectly can be analyzed.
In other embodiments, the reading-assisting method may further include the following specific steps:
sa1, after each reading of a part, such as a chapter, or reaching a certain reading time, or completing a certain reading amount, determining whether the content of the part has a corresponding question bank;
sa2, if there is a corresponding question bank, further determines whether the chief deputy has set a question permitted. If no corresponding question bank exists, directly switching to Sa 9;
sa3, if a question is set, jumping from the text file to a question file (when uploading, the text file and the question file are different files and are uploaded separately, wherein the file types can all include at least one of an audio file and a text file), continuously judging the difficulty level of the question bank set by the captain end (all questions in the question bank are judgment questions and/or selection questions containing a plurality of preset options), and if the question is not set, directly switching to Sa 9;
sa4, automatically playing problem files corresponding to the question bank (the corresponding problem files can be text files-tts broadcast, and can also be audio files), starting a microphone, and starting voice recognition (if the chief end selects a difficult question bank, the problem files corresponding to the difficult question bank are automatically played, and if the parent end selects an easy question bank, the problem files corresponding to the easy question bank are automatically played);
sa5, automatically judging whether the answer is correct according to the answer recognized by the voice (if the answer is wrong, prompting that the baby needs to be oiled and please hear again, and returning to Sa4 to continue to repeatedly broadcast the questions; when the repetition number is more than or equal to 2, prompting that the baby needs to be oiled and asks for the next question, recording the answer of the time as the answer error; if the answer is correct, prompting that the baby has a lot of property and asks for the next question, recording the answer of the time as the answer correct);
sa6, title number plus 1 repeat the process of Sa4-Sa5 until all titles are played;
sa7, when all questions are answered, uploading the data to the server, and returning the data to the household;
sa8, setting whether to share friends or not according to the captain end, and participating in ranking; (if the sharing friend is set to participate in the ranking, the data is uploaded and the ranking of the friend is displayed; if the non-sharing friend is set, the ranking is not displayed.)
Sa9 determines whether to read the page according to whether the child turns the page.
This application still provides an supplementary reading device based on smart machine, includes:
the starting judging module is used for judging whether the reading progress of the reading content of the user reaches a question making starting condition or not;
the first test question module is used for conveying one or more pre-stored test questions to a user according to a preset rule if a question making starting condition is met;
the examination question module is used for receiving the answer of the test questions input by the user aiming at the corresponding test questions, comparing the answer of the test questions with the standard answer of the test questions and judging whether the answer of the test questions is correct or not;
and the continuous judging module is used for guiding the user to redo the wrong answer test questions with wrong answer answers according to a preset rule if the answers of the test questions are wrong, and judging the mastering state of the wrong answer test questions of the user according to the wrong answer times of the wrong answer test questions of the user.
In some embodiments, the activation determination module comprises:
the acquisition and judgment submodule is used for judging whether an abort signal sent by a user, a preset abort signal sent by a third party or a preset abort time when the reading time reaches the set time are received;
and the starting judgment submodule is used for judging that the starting condition of the question is reached if the starting judgment submodule is used for judging that the starting condition of the question is reached.
In some embodiments, a smart device-based assistive reading device comprises:
and the first prompting module is used for opening the reading of the next stage and sending a preset encouraging prompt tone if the test questions with correct test question answers exist and each wrong answer test question judges the mastering state of the user on the wrong answer test question, and the encouraging prompt tone simulates sounding according to a preset specific voiceprint.
In some embodiments, the continuation module comprises:
the return sub-module is used for turning over the reading content to the corresponding answer reading part according to the wrong answer test questions or assisting the user to find the answer reading part through a reminding program, wherein the answer reading part is an answer giving part corresponding to the wrong answer test questions, and the answer reading part and the answers are preset to have a corresponding relation;
the second judgment module is used for re-conveying the wrong-answer test questions to the user when the part of the user for reading the questions to be solved is obtained, and judging whether the obtained answers input by the user for the wrong-answer test questions are correct or not according to the preset answers of the test questions;
the times obtaining sub-module is used for repeatedly finding the question solving reading part and transmitting the wrong answer test questions to the user if the answers are wrong; when the correct answer input by the user for the wrong answer test question is obtained, or the number of times of obtaining the wrong answer input by the user for the wrong answer test question reaches a set value, obtaining the number of times of the wrong answer of the user for the wrong answer test question;
and the judging submodule is used for generating a grasping state of the user on the wrong answer test questions according to the wrong answer times of the wrong answer test questions and a preset judging rule.
Further, the decision submodule includes:
the importing unit is used for importing the data of the wrong answer test and the wrong answer times into a preset judgment model, and the data of the wrong answer test comprises knowledge points corresponding to the wrong answer test and corresponding chapter information;
and the judging unit is used for processing the data according to the wrong answer test questions and the wrong answer times through the judging model to generate a state table, and the state table comprises the data of the wrong answer test questions and the mastering state.
In some embodiments, the smart device-based assistive reading device further comprises:
and the analysis module is used for starting an auxiliary scheme for key wrong-answer test questions with the palm holding state being a preset state when the reading amount is detected to finish the current day reading plan amount, and the auxiliary scheme is used for assisting the user in disassembling and analyzing the key wrong-answer test questions.
In some embodiments, the parsing module comprises:
the analysis test question matching sub-module is used for matching preset disassembly questions matched with the key wrong answer test questions in the database according to the key wrong answer test questions;
the analysis test question sending submodule is used for sending the disassembly problem to a user;
the analysis test question judging submodule is used for judging whether the answer about the disassembly question input by the user is correct or not according to the preset answer for the disassembly question;
and the analysis test question result output sub-module outputs a detailed judgment table through the judgment result of the answer of the disassembled question, and the detailed judgment table comprises the answer judgment result of the disassembled question and the detailed knowledge points corresponding to the disassembled question.
Referring to fig. 2, a storage medium 100, which is a computer-readable storage medium, is further provided, and a computer program 200 is stored on the storage medium, and when executed, the computer program 200 implements the reading assistance method in any of the above embodiments.
Referring to fig. 3, the present application further provides a smart device 300, which includes a memory 400, a processor 500, and a computer program 200 stored in the memory 400 and executable on the processor 500, wherein the processor 500 executes the computer program 200 to implement the reading assistance method in any of the above embodiments.
Those skilled in the art will appreciate that the smart device 300 of the embodiments of the present application is a device referred to above for performing one or more of the methods of the present application. These devices may be specially designed and manufactured for the required purposes, or they may comprise known devices in general-purpose computers. These devices have stored therein computer programs 200 or application programs, which computer programs 200 are selectively activated or reconfigured. Such a computer program 200 may be stored in a device (e.g., computer) readable medium, including, but not limited to, any type of disk including floppy disks, hard disks, optical disks, CD-ROMs, and magnetic-optical disks, ROMs (Read-Only memories), RAMs (Random Access memories), EPROMs (Erasable Programmable Read-Only memories), EEPROMs (Electrically Programmable Read-Only memories), flash memories, magnetic cards, or optical cards, or any type of media suitable for storing electronic instructions, and each coupled to a bus. That is, a readable medium includes any medium that stores or transmits information in a form readable by a device (e.g., a computer).
The auxiliary reading method can further judge the mastering state of the knowledge points by the user on the basis of preliminarily judging whether the knowledge points are mastered through the test questions, further more carefully know the knowledge mastering conditions of the user, judge the reading quality of the user and the knowledge mastering defects of the user, and assist the user in high-quality reading.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (8)

1. An assistive reading method, comprising:
judging whether the reading progress of the user on the reading content reaches a question making starting condition or not;
if yes, one or more pre-stored test questions are conveyed to the user according to a preset rule;
receiving test question answers input by the user aiming at corresponding test questions, comparing the test question answers with standard answers of the test questions, and judging whether the test question answers are correct or not;
if the answer of the test question is wrong, guiding the user to redo the wrong answer test question with the wrong answer according to a preset rule, and judging the mastering state of the user on the wrong answer test question according to the wrong answer times of the user on the wrong answer test question;
after the step of judging the mastering state of the user on the wrong answer test questions according to the wrong answer times of the user on the wrong answer test questions, the method comprises the following steps:
when the reading amount is detected to finish the current-day reading plan amount, starting an auxiliary scheme for key wrong-answer test questions of which the mastery state is a preset state in the wrong-answer test questions, wherein the auxiliary scheme is used for assisting the user in disassembling and analyzing the key wrong-answer test questions;
the auxiliary scheme comprises the following steps:
matching preset disassembly problems matched with the key wrong answer test questions in a database according to the key wrong answer test questions;
sending the disassembly problem to the user;
judging whether the answer input by the user about the disassembled question is correct or not according to a preset answer for the disassembled question;
and outputting a detailed judgment table according to the judgment result of the answer of the disassembled problem, wherein the detailed judgment table comprises the answer judgment result of the disassembled problem and the refined knowledge points corresponding to the disassembled problem.
2. The reading aid method according to claim 1, wherein the step of determining whether the reading progress of the user on the reading content meets a condition for starting a question making process includes:
judging whether an abort signal sent by a user, an abort signal sent by a preset third party or a read time reaching a set time are received;
if yes, judging that the question making starting condition is reached.
3. The reading aid method of claim 1, wherein the step of determining whether the answer to the test question is correct comprises:
and if the test questions with correct answers exist and each wrong answer test question judges the mastering state of the user on the wrong answer test question, opening the reading of the next stage and sending a preset encouragement prompt tone, wherein the encouragement prompt tone simulates sounding according to a preset specific voiceprint.
4. The reading aid method according to claim 3, wherein the step of determining the grasping state of the user on the wrong-answer test questions according to the number of times the user wrongly answers the wrong-answer test questions comprises:
reading the reading content to a corresponding answer reading part according to the wrong answer test questions, or assisting a user to find the answer reading part through a reminding program, wherein the answer reading part is an answer giving part corresponding to the wrong answer test questions, and the answer reading part and the answers are preset to have a corresponding relation;
when the problem solving reading part is obtained, the wrong answer test questions are conveyed to the user again, and whether the obtained answers input by the user for the wrong answer test questions are correct or not is judged again according to preset answers of the test questions;
if the answer is wrong, repeatedly finding the answer reading part and transmitting the wrong answer test questions to the user; when the correct answer input by the user for the wrong answer test question is obtained, or the number of times that the wrong answer is input by the user to the wrong answer test question reaches a set value, the number of times that the user wrongly answers the wrong answer test question is obtained;
and generating the mastery state of the user on the wrong answer test questions according to the wrong answer times of the wrong answer test questions and a preset judgment rule.
5. The reading aid method according to claim 4, wherein the step of generating the grasping condition of the user on the wrong answer test questions according to the number of wrong answers of the wrong answer test questions and a preset determination rule comprises:
importing the data of the wrong answer test questions and the wrong answer times into a preset judgment model, wherein the data of the wrong answer test questions comprise knowledge points corresponding to the wrong answer test questions and corresponding chapter information;
and processing the data of the wrong answer test questions and the wrong answer times through the judgment model to generate a state table, wherein the state table comprises the data of the wrong answer test questions and the mastery state.
6. An auxiliary reading device based on smart device, comprising:
the starting judging module is used for judging whether the reading progress of the reading content of the user reaches a question making starting condition or not;
the first test question module is used for conveying one or more pre-stored test questions to a user according to a preset rule if a question making starting condition is met;
the examination question module is used for receiving the answer of the test questions input by the user aiming at the corresponding test questions, comparing the answer of the test questions with the standard answer of the test questions and judging whether the answer of the test questions is correct or not;
the continuous judging module is used for guiding the user to redo the wrong answer test questions with wrong answer answers according to a preset rule if the answer of the test questions is wrong, and judging the mastering state of the user on the wrong answer test questions according to the wrong answer times of the user on the wrong answer test questions;
the device further comprises:
the analysis module is used for starting an auxiliary scheme for key wrong-answer test questions with the palm holding state being a preset state in the wrong-answer test questions when the reading amount is detected to finish the current day reading plan amount, and the auxiliary scheme is used for assisting a user in disassembling and analyzing the key wrong-answer test questions;
the parsing module includes:
the analysis test question matching sub-module is used for matching preset disassembly questions matched with the key wrong answer test questions in the database according to the key wrong answer test questions;
the analysis test question sending submodule is used for sending the disassembly problem to a user;
the analysis test question judging submodule is used for judging whether the answer about the disassembly question input by the user is correct or not according to the preset answer for the disassembly question;
and the analysis test question result output sub-module outputs a detailed judgment table through the judgment result of the answer of the disassembled question, and the detailed judgment table comprises the answer judgment result of the disassembled question and the detailed knowledge points corresponding to the disassembled question.
7. A storage medium, characterized in that it is a computer-readable storage medium on which a computer program is stored, which computer program, when executed, implements the assistive reading method of any one of claims 1 to 5.
8. An intelligent device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the assistive reading method of any one of claims 1 to 5 when executing the computer program.
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