CN108831229A - A kind of Chinese automatic grading method - Google Patents
A kind of Chinese automatic grading method Download PDFInfo
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- CN108831229A CN108831229A CN201810607348.5A CN201810607348A CN108831229A CN 108831229 A CN108831229 A CN 108831229A CN 201810607348 A CN201810607348 A CN 201810607348A CN 108831229 A CN108831229 A CN 108831229A
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/02—Electrically-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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
- G06Q50/2057—Career enhancement or continuing education service
Abstract
The present invention relates to a kind of Chinese automatic grading methods, include the following steps：Step 1. system carries out the division of 9 grades to each knowledge point；Step 2. user selects according to the grade and study version of oneself；Then step 3. pushes topic to user by the algorithm engine of system (each topic is divided into 9 grades)；Step 4. finally obtains the grade of each knowledge point of user by the test of each knowledge point；Step 5. generates report；Step 6. is different according to the report that user tests, and is pushed to the different learning path of each user and learns.Compared with prior art, the present invention has the following advantages that：It can accurately recognize the weak knowledge point of user at present and weak knowledge point before.
Description
Technical field
The present invention relates to Chinese study fields, more particularly, to a kind of Chinese automatic grading method.
Background technique
In product in the current market, most of study that Chinese language is divided with grade pass through when one student 8 grades
It is in fact likely to be that 7 grades knowledge points all not succeeding in school after learning that the certain knowledge points of oneself are not grasped after test,
But our current products in the market can not detect such situation.
By retrieval, China Patent Publication No. is that CN1963753A discloses a kind of multidimensional Chinese understanding Chinese study application system
System and method, learning method include the following steps：One Chinese language study library is provided；User starts the electronic device, behaviour
Making the selected learning Content of display screen or one keyword of input makes its generate a control signal；According to the control signal and the study
File or the control signal and keyword capture learning files in the language learning library, and show study text on a display screen
Part, or play the learning files.The advantages of invention is：Simply, easy to learn, easy to remember, easy-to-use, meet the learning law of Chinese character, does
Man-computer cooperation, interaction of giving and accepting, the new Chinese studying systems rich in intension and the features such as interest are arrived.But the invention is common
Chinese study, cannot be classified according to the actual conditions of user, suitable study can not be pushed according to the actual conditions of user
Content.
Summary of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide a kind of Chinese automatic classifications
Method.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of Chinese automatic grading method, includes the following steps：
Step 1. system carries out the division of 9 grades to each knowledge point；
Step 2. user selects according to the grade and study version of oneself；
Then step 3. pushes topic to user by the algorithm engine of system (each topic is divided into 9 grades)；
Step 4. finally obtains the grade of each knowledge point of user by the test of each knowledge point；
Step 5. generates report；
Step 6. is different according to the report that user tests, and is pushed to the different learning path of each user and learns.
Preferably, the knowledge point in the step 4 include notional word module, function word module, clause module, common sense module,
Translation module and information module.
Preferably, it is 5 grades that topic initial difficulty is defaulted in each knowledge point in the step 4, according to answering for user
It inscribes situation and promotes or reduce difficulty, do to level-one is promoted, do wrong and decline level-one, the user knowledge point pair is determined according to final result
The grade answered.
Preferably, the report in the step 5 includes：(1), the independent horizontal (1~9 grade) of each module, (2), basis
Weight calculates user's level of aggregation (1~9 grade), (3), ability value (visualization), (4), wrong because of analysis (subdivision knowledge point).
Preferably, the weight of each module is undetermined when the level of aggregation calculates.
Preferably, the label category of dynamic generation after each topic in the system has many a large number of users to inscribe
Property, the tag attributes include Reaction time and item difficulty.Based on the tag attributes, algorithm is according to the answer of user
Time and answer difficulty more accurately obtain user for the Grasping level i.e. ability value of the knowledge point from various dimensions.
Compared with prior art, the present invention has the following advantages that：
1, by the algorithm of artificial intelligence, the present invention can accurately understand according to the Reaction time of user, answer difficulty
To the weak knowledge point of user.
2, by big map, system can get through grade of junior middle school three, which partial knowledge point of user is not grasped, energy
There is other knowledge point not grasp before learning it in fact and just influences whether this present knowledge point.
Detailed description of the invention
Fig. 1 is synchronously control software flow pattern of the invention,
Fig. 2 is language writing in classical Chinese summer time class learning process of the invention.
Specific embodiment
The technical scheme in the embodiments of the invention will be clearly and completely described below, it is clear that described implementation
Example is a part of the embodiments of the present invention, rather than whole embodiments.Based on the embodiments of the present invention, ordinary skill
Personnel's every other embodiment obtained without making creative work all should belong to the model that the present invention protects
It encloses.
As shown in Figure 1, a kind of Chinese automatic grading method, includes the following steps：
Step 1. system carries out the division of 9 grades to each knowledge point；
Step 2. user selects according to the grade and study version of oneself；
Then step 3. pushes topic to user by the algorithm engine of system (each topic is divided into 9 grades)；
Step 4. finally obtains the grade of each knowledge point of user by the test of each knowledge point；
Step 5. generates report；
Step 6. is different according to the report that user tests, and is pushed to the different learning path of each user and learns.
Knowledge point in the step 4 includes notional word module, function word module, clause module, common sense module, translation module
And information module.
It is 5 grades that topic initial difficulty is defaulted in each knowledge point in the step 4, is mentioned according to the answer situation of user
Difficulty is risen or reduced, is done to level-one is promoted, is done wrong and decline level-one, it is corresponding etc. according to final result judgement user knowledge point
Grade.
Report in the step 5 includes：(1), the independent horizontal (1~9 grade) of each module, (2) are calculated according to weight
User's level of aggregation (1~9 grade), (3), ability value (visualization) are (4), wrong because of analysis (subdivision knowledge point).
The weight of the level of aggregation each module when calculating is undetermined.
The tag attributes of dynamic generation, described after each topic in the system has many a large number of users to inscribe
Tag attributes include Reaction time and item difficulty.Based on the tag attributes, algorithm is according to the Reaction time of user and answers
It inscribes difficulty and more accurately obtains user for the Grasping level i.e. ability value of the knowledge point from various dimensions.
As shown in Fig. 2, sending the data of student's answer by student side, system returns to backstage, passes through data processing from the background
It is given to the engine of intelligent algorithm, by engine, the last deciding grade and level of the topic of push is given to user by system.
Firstly, student completes test in advance, the knowledge point title and grade that start study are prompted, then system pushing module
Video is imported, student calls video template.After video playing, system pushes study topic, calls and learns problem template, Xue Shengjin
Enter answer interface, start answer, after answer, system judges to mistake, and answers questions or answer mistake for student's prompt, updates the life
Ability value pushes parsing for student.Student enters in next step, learns video template in calling system, plays explanation video.Then
Whether triggered into Systematic selection wrong because of study, mistake entered if select "Yes" because of learning process, after judge whether to reach
Minimum volume needed for being promoted；Directly judge whether to reach the minimum volume needed for being promoted to if selecting "No", if not up to Shanxi
Minimum volume needed for grade, system will continue to push exercise, if having reached minimum volume needed for promotion, system is by judgement value
Whether up to standard, if ability value is up to standard, system is done directly learning process, if ability value is below standard, system will continue judgement and learn
Whether raw learnt exercise reaches the upper limit of topic, if having reached the topic upper limit, system prompt stops the study of present level,
Carry out the study of next module, system will react the information to joining school teacher；If not up to the topic upper limit, system will continue to push
Exercise.
System calls exercise template, and student enters answer interface, starts answer, is judged by system to mistake, then root
According to the wrong ability value for updating student, student is prompted to answer questions or answer mistake, pushes parsing for student, student enters in next step, system
It has detected whether explanation video, the template of study video is called if having explanation video, played explanation video, if being regarded without explanation
Frequently, then directly judge whether to need to trigger wrong because of study.It is wrong because learning then to enter mistake because of learning process if necessary to carry out, if
It does not need to enter mistake because of study, then directly judges whether to reach the minimum volume needed for being promoted to.It is promoted to institute as student does not reach
Minimum volume is needed, then system judges whether the life epicycle exercise is fully completed, and prompt restarts knowing for study as unfinished
Know point title and grade, whole epicycle exercises are such as completed, then system judges whether there are also study topic is available, if any then pushing
Study topic, pushes exercise if not.If student, which has reached minimum volume, system needed for promotion, judges student ability
Whether value is up to standard, and if ability value is below standard, system judges whether student has reached the topic upper limit, if the not up to upper limit, again
Judge whether student completes epicycle whole exercise, stops the study of the module present level if having reached the upper limit, under study
One module, and the information response is given to the teacher for joining school；If the ability value of student is up to standard, it is done directly study stream
Journey.After student completes learning process, this knowledge point present level learning process of system prompt passes through, and it is current etc. to generate the knowledge point
The study report of grade.
The suggestion that school teacher is reported and joined according to study, judging student's present level, whether there are also other knowledge point needs
Study is learned if without other knowledge points if there is other knowledge points then prompt the knowledge point title and grade of study again
It is raw to enter integration test link, it prompts student to enter integration test, corresponding test question is pushed according to algorithm, calls test question mould
Plate, student enter answer interface and carry out answer, and system judges whether student completes whole test questions, pushes away again if not completing
Corresponding test question is sent, if whole test questions are completed, system will call test report template to generate test report.Pass through survey
Examination report, judges whether that all knowledge point and grade have all learnt to finish or stop, and weight is needed if also not learning to finish
New prompt starts the knowledge point title and grade of study, and system calls all knowledge points in exam pool if all study finishes
With the study topic and exercise that do not did in grade, topic template is called, into answer interface, student carries out answer, system
Judge to be prompted to student to mistake and by result, while pushing corresponding parsing, if having parsing video by pushing video in system, such as
Fruit will not judge whether directly not answer there are also topic, if there is then continuing that the study that do not did in exam pool is called to inscribe and practice
Topic, if the topic that do not answered, prompts course on classical Chinese to terminate.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can readily occur in various equivalent modifications or replace
It changes, these modifications or substitutions should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with right
It is required that protection scope subject to.
Claims (6)
1. a kind of Chinese automatic grading method, which is characterized in that include the following steps：
Step 1. system carries out the division of 9 grades to each knowledge point；
Step 2. user selects according to the grade and study version of oneself；
Then step 3. pushes topic to user by the algorithm engine of system (each topic is divided into 9 grades)；
Step 4. finally obtains the grade of each knowledge point of user by the test of each knowledge point；
Step 5. generates report；
Step 6. is different according to the report that user tests, and is pushed to the different learning path of each user and learns.
2. a kind of Chinese automatic grading method according to claim 1, which is characterized in that the knowledge in the step 4
Point includes notional word module, function word module, clause module, common sense module, translation module and information module.
3. a kind of Chinese automatic grading method according to claim 1, which is characterized in that each of the step 4
It is 5 grades that topic initial difficulty is defaulted in knowledge point, and difficulty is promoted or reduced according to the answer situation of user, is done to promotion level-one,
It does wrong and declines level-one, the corresponding grade in the user knowledge point is determined according to final result.
4. a kind of Chinese automatic grading method according to claim 1, which is characterized in that the report in the step 5
Including：(1), the independent horizontal (1~9 grade) of each module, (2) calculate user's level of aggregation (1~9 grade) according to weight, (3), energy
Force value (visualization), it is (4), wrong because of analysis (subdivision knowledge point).
5. a kind of Chinese automatic grading method according to claim 4, which is characterized in that when the level of aggregation calculates
The weight of each module is undetermined.
6. a kind of Chinese automatic grading method according to claim 4, which is characterized in that each topic in the system
The tag attributes of dynamic generation after mesh has many a large number of users to inscribe, the tag attributes include that Reaction time and topic are difficult
Degree.Based on the tag attributes, algorithm is according to Reaction time and answer difficulty more accurately the obtaining from various dimensions of user
Grasping level, that is, ability value of the user for the knowledge point.
Applications Claiming Priority (2)
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| CN201810290544 | 2018-03-30 | ||
| CN2018102905444 | 2018-03-30 |
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| CN110111610A (en) * | 2019-05-13 | 2019-08-09 | 上海乂学教育科技有限公司 | Chinese language structure reading method in adaptive learning based on AI algorithm |
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| CN113806516A (en) * | 2021-09-22 | 2021-12-17 | 湖北天天数链技术有限公司 | Matching degree determination method and device, electronic equipment and computer readable storage medium |
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