CN105844226A - Method and device for processing data based on subjective question - Google Patents
Method and device for processing data based on subjective question Download PDFInfo
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Abstract
The invention discloses a method and a device for processing data based on a subjective question, which relates to the computer technology field and can simplify the process of homework assignment. The method for processing data based on the subjective question comprises steps of obtaining a question stem of a subjective question, an answer area and a standard answer corresponding to the answer area, identifying a standard answer character number corresponding to each answer area, setting the answer area where the standard answer character number reaches a preset character number as a manual correction item, and generating a manual correction interface which comprises the question stem, the answer area, the standard answer and the student answer which correspond to the manual correction item.
Description
Technical field
The present invention relates to field of computer technology, particularly relate to a kind of subjectively-based topic data processing method and
Device.
Background technology
At present, class of jobs based on the Internet application (Application, APP) gets more and more, this type of APP
Major function be based on exam pool arrange objective item operation, the objective item operation then completed student is entered automatically
Row is corrected.But, this class of jobs APP cannot realize the layout of subjective item operation and automatically correct, therefore,
Occurring in that the APP that can be arranged for subjective item operation and automatically correct, this APP is first teacher
End generates operation template construct interface, and teacher can arrange subjective item operation by this interface, main including input
Sight is inscribed stem, the answer region arranging subjective item, is inputted model answer in answer region, is formed with this
Operation, student receives operation in terminal, answer in the operation template generated, answer of then answering
Transmission is to server, and model answer and answer of answering are contrasted, thus realize subjective item operation by server
Automatically correct.
But, it is simple word or numeral for a part of subjective item, such as answer, this side can be passed through
Formula is corrected automatically, but for the more complicated subjective item of answer, its narrating mode is not necessarily one
The model answer determined, is therefore difficult to correct by the mode of this contrast, it is still necessary to manually criticize
Change.So, just in advance the exercise question manually corrected need to be selected, cause arranging that the process of operation is the most numerous
Trivial.
Summary of the invention
The invention provides data processing method and the device thereof of a kind of subjectively-based topic, it is possible to simplify and arrange operation
Process.
On the one hand, it is provided that the data processing method of a kind of subjectively-based topic, including:
Obtain the model answer that the stem of subjective item, answer region and answer region are corresponding；
Identify the model answer number of characters that each answer region is corresponding；
The answer region that described model answer number of characters reaches preset characters number is set to manually correct project；
Generate and manually correct interface, described manually correct interface include described manually correct corresponding to project stem,
Answer region, model answer and answer of answering.
Alternatively, in the model answer that stem, answer region and the answer region of described acquisition subjective item are corresponding
Afterwards, also include:
Obtain the answer of answering filled in the answer region of subjective item；
After the model answer number of characters that described identification each answer region is corresponding, also include:
The answer region of described model answer number of characters not up to preset characters number is set to automatically correct project；
Judge each automatically to correct item according to each model answer automatically corrected corresponding to project and answer of answering
Answer of answering corresponding to mesh is the most correct.
Alternatively, before the model answer number of characters that described identification each answer region is corresponding, also include:
Obtain the answer of answering filled in the answer region of subjective item；
Model answer corresponding to each answer region and answer of answering are contrasted, obtains each answer region
Comparing result, it is the most consistent with answer of answering that described comparing result is used for representing model answer；
Model answer number of characters corresponding to described identification each answer region is:
In the answer region corresponding to the comparing result that model answer is inconsistent with answer of answering, identify each answering
The model answer number of characters that case region is corresponding.
Specifically, in the answer region corresponding to the described comparing result inconsistent with answer of answering in model answer,
After identifying the process of model answer number of characters corresponding to each answer region, also include:
Described model answer number of characters does not arrives the answer of answering corresponding to the answer region of preset characters number sentence
Break as wrong answer.
Specifically, the model answer number of characters that described identification each answer region is corresponding is:
Identify the byte number shared by model answer that each answer region is corresponding；
The described answer region that described model answer number of characters reaches preset characters number is set to manually correct item
Mesh is:
The answer region that byte number shared by described model answer reaches predetermined word joint number is set to manually criticize
Change project.
On the other hand, it is provided that the data processing equipment of a kind of subjectively-based topic, including:
Subjective item acquiring unit, for obtaining the mark that the stem of subjective item, answer region and answer region are corresponding
Quasi-answer；
Recognition unit, for identifying the model answer number of characters that each answer region is corresponding；
Item setup unit, is arranged for described model answer number of characters reaches the answer region of preset characters number
For manually correcting project；
Manually interface signal generating unit, is used for generating and manually corrects interface, and described interface of manually correcting includes described hands
Move and correct stem, answer region, model answer and the answer of answering corresponding to project.
Alternatively, the data processing equipment of above-mentioned subjectively-based topic also includes:
Answer answer acquiring unit, for obtaining the answer of answering filled in the answer region of subjective item；
Described item setup unit, is additionally operable to be not up to described model answer number of characters the answer of preset characters number
Region is set to automatically correct project；
Automatically unit is corrected, for sentencing according to each model answer automatically corrected corresponding to project and answer of answering
Disconnected each answer of answering automatically corrected corresponding to project is the most correct.
Alternatively, the data processing equipment of above-mentioned subjectively-based topic also includes:
Answer answer acquiring unit, for obtaining the answer of answering filled in the answer region of subjective item；
Answer contrast unit, for the model answer corresponding to each answer region and answer of answering are contrasted,
Obtaining the comparing result in each answer region, described comparing result is used for representing model answer and answer of answering is
No unanimously；
Described recognition unit specifically for, corresponding to the comparing result that model answer is inconsistent with answer of answering
In answer region, identify the model answer number of characters that each answer region is corresponding.
Specifically, the data processing equipment of above-mentioned subjectively-based topic also includes:
Wrong answer judging unit, for not arriving by described model answer number of characters in the answer district of preset characters number
Answer of answering corresponding to territory is judged as wrong answer.
Specifically, described recognition unit, specifically for shared by the model answer that each answer region of identification is corresponding
Byte number；
Described item setup unit, specifically for reaching the byte number shared by described model answer to preset byte
The answer region of number is set to manually correct project.
The data processing method of the subjectively-based topic that the present invention provides and device thereof, first identify each answer region pair
The model answer number of characters answered, the answer region that then number of characters reaches preset characters number is set to manually criticize
Changing project, generate correspondence manually corrects interface, it is achieved that automatically identifies according to answer number of words and is applicable to
The answer region manually corrected, and generate correspondence manually correct interface, thus without in advance to manually correcting
Exercise question select, simplify arrange operation process.
Accompanying drawing explanation
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, below will be to institute in embodiment
The accompanying drawing used is needed to be briefly described, it should be apparent that, the accompanying drawing in describing below is only this
Some embodiments of invention, for those of ordinary skill in the art, are not paying creative work
On the premise of property, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the flow chart of the data processing method of a kind of subjectively-based topic in the embodiment of the present invention one；
Fig. 2 is the flow chart of the data processing method of a kind of subjectively-based topic in the embodiment of the present invention two；
Fig. 3 is the flow chart of the data processing method of a kind of subjectively-based topic in the embodiment of the present invention three；
Fig. 4 is the structured flowchart of the data processing equipment of a kind of subjectively-based topic in the embodiment of the present invention five；
Fig. 5 is the structured flowchart of the data processing equipment of a kind of subjectively-based topic in the embodiment of the present invention six；
Fig. 6 is the structured flowchart of the data processing equipment of a kind of subjectively-based topic in the embodiment of the present invention seven.
Detailed description of the invention
Below in conjunction with the accompanying drawings the embodiment of the present invention is described in detail.
It will be appreciated that described embodiment is only a part of embodiment of the present invention rather than whole realities
Execute example.Based on the embodiment in the present invention, those of ordinary skill in the art are not before making creative work
Put all other embodiments obtained, broadly fall into the scope of protection of the invention.
Embodiment one
As it is shown in figure 1, the embodiment of the present invention provides the data processing method of a kind of subjectively-based topic, the method
Executive agent can be server, and the method includes:
The model answer that step 101, the acquisition stem of subjective item, answer region and answer region are corresponding；
In this step, first teacher passes through terminal login service device, is then arranged the topic of subjective item by terminal
Model answer corresponding to dry, answer region and answer region, stem can be teacher directly input word,
The stem content selected in the photo of shooting or exam pool, the corresponding one or more answer regions of per pass exercise question,
Such as, there is the topic of filling a vacancy of multiple sky together, need previously according to exercise question, multiple positions of filling a vacancy to be configured,
And corresponding answer region arranges corresponding model answer.Wherein, stem and answer region are for as operation
Template is for student's answer, for the person of going over examination papers when model answer as standard when automatically correcting or is manually corrected
Reference.
Step 102, identify the model answer number of characters that each answer region is corresponding, such as, filled out in the air for one
Chinese character number of words, Arabic numerals number of words or the English alphabet number write；
Step 103, above-mentioned model answer number of characters is reached the answer region of preset characters number it is set to manually batch
Change project；
In this step, preset characters number is equivalent to a threshold value, and preset characters number can be according to the type of character
And different, the preset characters that preset characters number is five, Arabic numerals and English alphabet of such as Chinese character
Number is ten, i.e. when Chinese character number of words reaches five or more than five or Arabic numerals or English words alphabetic word
When symbol number reaches ten or more than ten, automatically corresponding answer region is set to manually correct project.Right
For subjective item, the less answer of general number of words generally only has unique expression way, and number of words is more
Answer, its expression way is not the most unique, therefore is difficult to accurately judge number of words by the way of directly contrast
More answer is the most correct, needs manually to correct.This step can be sentenced automatically according to answer number of words
Whether this answer disconnected is applicable to manually correct.
Step 104, generating and manually correct interface, above-mentioned interface of manually correcting includes described manually correcting project institute
Corresponding stem, answer region, model answer and answer of answering.
Before this step, stem and the answer region of the subjective item that teacher is set by server sends to student
In terminal, student passes through terminal reading stem, and fills in, in answer region, answer of answering, and then terminal will
The answer of answering in corresponding stem and answer region sends to server, and server generates manually according to above-mentioned information
Correct interface, in order to teacher is manually correcting interface to manually correcting corresponding to project
Answer of answering is corrected.
The data processing method of subjectively-based topic in the present embodiment, first identifies that standard corresponding to each answer region is answered
Case number of characters, the answer region that then number of characters reaches preset characters number is set to manually correct project, raw
Become corresponding and manually correct interface, it is achieved that automatically identify according to answer number of words and be applicable to manually to correct
Answer region, and generate correspondence manually correct interface, thus without in advance the exercise question manually corrected being carried out
Select, simplify the process arranging operation.
Embodiment two
As in figure 2 it is shown, on the basis of embodiment one, specifically, in above-mentioned steps 101, obtain subjective item
Model answer corresponding to stem, answer region and answer region after, also include:
Step 1011, obtain the answer of answering filled in the answer region of subjective item；
In this step, student passes through stem and the answer region of the above-mentioned subjective item of terminal reading, then in answer
Filling in answer of answering accordingly in region, this answer of answering is sent to server, and server can be made to obtain
This answer of answering.
Above-mentioned steps 102, identify the model answer number of characters that each answer region is corresponding after, also include:
Step 1021, the answer region of above-mentioned model answer number of characters not up to preset characters number is set to from
Move and correct project；
Such as, model answer is the Chinese character of not up to five, then corresponding answer region is for automatically correcting project.
Step 1022, judge each according to each model answer automatically corrected corresponding to project and answer of answering
Automatically the answer of answering corresponding to project is corrected the most correct.
In this step, it is achieved that automatically correcting of subjective item, and which topic need automatically to correct, be by answering
Case number of characters determines, it is not necessary to manually select.
Embodiment three
As it is shown on figure 3, on the basis of embodiment one, specifically, in above-mentioned steps 102, identify each answering
Before the model answer number of characters that case region is corresponding, also include:
Step 1011, obtain the answer of answering filled in the answer region of subjective item；
Step 1012, the model answer corresponding to each answer region and answer of answering are contrasted, obtain
The comparing result in each answer region, described comparing result is used for representing model answer and answer whether of answering
Cause；
In this step, different from embodiment two, before judging automatically to correct or manually correct, the most right
Answer answer and model answer contrasts, if to be answer consistent for comparing result, even if the number of words of answer is more,
Without manually correcting.
Above-mentioned steps 102, identify that model answer number of characters corresponding to each answer region is: model answer with
In answer region corresponding to the comparing result that answer of answering is inconsistent, identify the mark that each answer region is corresponding
Quasi-answer number of characters.
In this step, it is only that the inconsistent model answer corresponding to answer region of answer is carried out to comparing result
Number of characters identification, determines whether that this answer is wrong or owing to number of words is more, is likely to be of different
Expression-form, thus need manually to correct.
Above-mentioned steps 102, in the answer region corresponding to the model answer comparing result inconsistent with answer of answering
In, after identifying the process of model answer number of characters corresponding to each answer region, also include:
Step 1021, above-mentioned model answer number of characters is not arrived corresponding to the answer region of preset characters number
Answer of answering is judged as wrong answer.
Embodiment four
On the basis of embodiment one, above-mentioned steps 102, identify the model answer word that each answer region is corresponding
Symbol number is: identify the byte number shared by model answer that each answer region is corresponding；
Such as, in common coded system, a Chinese character takies two bytes, Arabic numerals or English
Word mother takies a byte.
Above-mentioned steps 103, the answer region that above-mentioned model answer number of characters reaches preset characters number are set to hands
The dynamic project of correcting is: set in the answer region that the byte number shared by above-mentioned model answer reaches predetermined word joint number
It is set to manually correct project.
Such as, predetermined word joint number is ten bytes, say, that if an empty corresponding model answer is the Chinese
Word, then need when reaching five Chinese characters manually to correct, if an empty corresponding answer is English alphabet,
Need when then reaching ten English alphabets manually to correct.
Embodiment five
As shown in Figure 4, the present embodiment provides the data processing equipment of a kind of subjectively-based topic, including: subjective item
Acquiring unit 1, for obtaining the model answer that the stem of subjective item, answer region and answer region are corresponding；
Recognition unit 2, for identifying the model answer number of characters that each answer region is corresponding；Item setup unit 3,
It is set to manually correct project for described model answer number of characters being reached the answer region of preset characters number；
Manually interface signal generating unit 4, is used for generating and manually corrects interface, described manually correct interface include described manually
Correct the stem corresponding to project, answer region, model answer and answer of answering.
This device can apply to the data processing method of subjectively-based topic in above-described embodiment, its work process and
Principle is same as the previously described embodiments, does not repeats them here.
The data processing equipment of subjectively-based topic in the present embodiment, first identifies that standard corresponding to each answer region is answered
Case number of characters, the answer region that then number of characters reaches preset characters number is set to manually correct project, raw
Become corresponding and manually correct interface, it is achieved that automatically identify according to answer number of words and be applicable to manually to correct
Answer region, and generate correspondence manually correct interface, thus without in advance the exercise question manually corrected being carried out
Select, simplify the process arranging operation.
Embodiment six
As it is shown in figure 5, based on embodiment five, the data processing equipment of above-mentioned subjectively-based topic also includes: answer
Answer acquiring unit 5, for obtaining the answer of answering filled in the answer region of subjective item；Described project sets
Put unit 3, be additionally operable to be set in the answer region of described model answer number of characters not up to preset characters number certainly
Move and correct project；Automatically correct unit 6, for according to each model answer automatically corrected corresponding to project and
Answer of answering judges that each answer of answering automatically corrected corresponding to project is the most correct.
This device can apply to the data processing method of subjectively-based topic in above-described embodiment two, its work process
Identical with above-described embodiment two with principle, do not repeat them here.
Embodiment seven
As shown in Figure 6, based on embodiment five, the data processing equipment of above-mentioned subjectively-based topic also includes: answer
Answer acquiring unit 5, for obtaining the answer of answering filled in the answer region of subjective item；Answer contrast is single
Unit 6, for the model answer corresponding to each answer region and answer of answering being contrasted, obtains each answering
The comparing result in case region, it is the most consistent with answer of answering that described comparing result is used for representing model answer；Institute
State recognition unit 2 specifically for, answering corresponding to the comparing result that model answer is inconsistent with answer of answering
In case region, identify the model answer number of characters that each answer region is corresponding；Wrong answer judging unit 7, uses
Judge in described model answer number of characters not arrived the answer of answering corresponding to the answer region of preset characters number
For wrong answer.
This device can apply to the data processing method of subjectively-based topic in above-described embodiment three, its work process
Identical with above-described embodiment three with principle, do not repeat them here.
Embodiment eight
Based on embodiment five, above-mentioned recognition unit 2, the standard corresponding specifically for each answer region of identification is answered
Byte number shared by case；Above-mentioned item setup unit 3, specifically for by the word shared by described model answer
Joint number reaches the answer region of predetermined word joint number and is set to manually correct project.
This device can apply to the data processing method of subjectively-based topic in above-described embodiment four, its work process
Identical with above-described embodiment four with principle, do not repeat them here.
In several embodiments provided herein, it should be understood that disclosed system and method, permissible
Realize by another way.Such as, device embodiment described above is only schematically, such as,
Described module or the division of unit, be only a kind of logic function and divide, actual can have when realizing other
Dividing mode, the most multiple unit or assembly can in conjunction with or be desirably integrated into another system, or some
Feature can be ignored, or does not performs.Another point, shown or discussed coupling each other or directly coupling
Close or communication connection can be the INDIRECT COUPLING by some interfaces, device or unit or communication connection, permissible
It is electrical, machinery or other form.
The described unit illustrated as separating component can be or may not be physically separate, as list
The parts of unit's display can be or may not be physical location, i.e. may be located at a place, or also
Can be distributed on multiple NE.Some or all of list therein can be selected according to the actual needs
Unit realizes the purpose of the present embodiment scheme.
It addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, also
Can be that unit is individually physically present, it is also possible to two or more unit are integrated in a unit.
Above-mentioned integrated unit both can realize to use the form of hardware, it would however also be possible to employ the form of SFU software functional unit
Realize.
If described integrated unit realizes using the form of SFU software functional unit and as independent production marketing or
During use, can be stored in a computer read/write memory medium.Based on such understanding, the present invention
The part that the most in other words prior art contributed of technical scheme or this technical scheme whole or
Part can embody with the form of software product, and this computer software product is stored in a storage medium
In, including some instructions with so that computer equipment (can be personal computer, server, or
Person's network equipment etc.) or processor (processor) perform the whole of method described in each embodiment of the present invention or
Part steps.And aforesaid storage medium includes: USB flash disk, portable hard drive, read only memory (ROM,
Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disc
Or the various medium that can store program code such as CD.
The above, the only detailed description of the invention of the present invention, but protection scope of the present invention is not limited thereto,
Any those familiar with the art, in the technical scope that the invention discloses, can readily occur in change
Or replace or the increase and decrease of quantity, all should contain within protection scope of the present invention.Therefore, the present invention
Protection domain should described be as the criterion with scope of the claims.
Claims (10)
1. the data processing method of a subjectively-based topic, it is characterised in that including:
Obtain the model answer that the stem of subjective item, answer region and answer region are corresponding；
Identify the model answer number of characters that each answer region is corresponding；
The answer region that described model answer number of characters reaches preset characters number is set to manually correct project；
Generate and manually correct interface, described manually correct interface include described manually correct corresponding to project stem,
Answer region, model answer and answer of answering.
The data processing method of subjectively-based topic the most according to claim 1, it is characterised in that
After the model answer that stem, answer region and the answer region of described acquisition subjective item are corresponding, also
Including:
Obtain the answer of answering filled in the answer region of subjective item；
After the model answer number of characters that described identification each answer region is corresponding, also include:
The answer region of described model answer number of characters not up to preset characters number is set to automatically correct project；
Judge each automatically to correct item according to each model answer automatically corrected corresponding to project and answer of answering
Answer of answering corresponding to mesh is the most correct.
The data processing method of subjectively-based topic the most according to claim 1, it is characterised in that
Before the model answer number of characters that described identification each answer region is corresponding, also include:
Obtain the answer of answering filled in the answer region of subjective item；
Model answer corresponding to each answer region and answer of answering are contrasted, obtains each answer region
Comparing result, it is the most consistent with answer of answering that described comparing result is used for representing model answer；
Model answer number of characters corresponding to described identification each answer region is:
In the answer region corresponding to the comparing result that model answer is inconsistent with answer of answering, identify each answering
The model answer number of characters that case region is corresponding.
The data processing method of subjectively-based topic the most according to claim 3, it is characterised in that
In answer region corresponding to the described comparing result inconsistent with answer of answering in model answer, identify every
After the process of the model answer number of characters that individual answer region is corresponding, also include:
Described model answer number of characters does not arrives the answer of answering corresponding to the answer region of preset characters number sentence
Break as wrong answer.
The data processing method of subjectively-based topic the most according to claim 1, it is characterised in that
Model answer number of characters corresponding to described identification each answer region is:
Identify the byte number shared by model answer that each answer region is corresponding；
The described answer region that described model answer number of characters reaches preset characters number is set to manually correct item
Mesh is:
The answer region that byte number shared by described model answer reaches predetermined word joint number is set to manually criticize
Change project.
6. the data processing equipment of a subjectively-based topic, it is characterised in that including:
Subjective item acquiring unit, for obtaining the mark that the stem of subjective item, answer region and answer region are corresponding
Quasi-answer；
Recognition unit, for identifying the model answer number of characters that each answer region is corresponding；
Item setup unit, is arranged for described model answer number of characters reaches the answer region of preset characters number
For manually correcting project；
Manually interface signal generating unit, is used for generating and manually corrects interface, and described interface of manually correcting includes described hands
Move and correct stem, answer region, model answer and the answer of answering corresponding to project.
The data processing equipment of subjectively-based topic the most according to claim 6, it is characterised in that also wrap
Include:
Answer answer acquiring unit, for obtaining the answer of answering filled in the answer region of subjective item；
Described item setup unit, is additionally operable to be not up to described model answer number of characters the answer of preset characters number
Region is set to automatically correct project；
Automatically unit is corrected, for sentencing according to each model answer automatically corrected corresponding to project and answer of answering
Disconnected each answer of answering automatically corrected corresponding to project is the most correct.
The data processing equipment of subjectively-based topic the most according to claim 6, it is characterised in that also wrap
Include:
Answer answer acquiring unit, for obtaining the answer of answering filled in the answer region of subjective item；
Answer contrast unit, for the model answer corresponding to each answer region and answer of answering are contrasted,
Obtaining the comparing result in each answer region, described comparing result is used for representing model answer and answer of answering is
No unanimously；
Described recognition unit specifically for, corresponding to the comparing result that model answer is inconsistent with answer of answering
In answer region, identify the model answer number of characters that each answer region is corresponding.
The data processing equipment of subjectively-based topic the most according to claim 8, it is characterised in that also wrap
Include:
Wrong answer judging unit, for not arriving by described model answer number of characters in the answer district of preset characters number
Answer of answering corresponding to territory is judged as wrong answer.
The data processing equipment of subjectively-based topic the most according to claim 6, it is characterised in that
Described recognition unit, byte number model answer shared by corresponding specifically for identifying each answer region；
Described item setup unit, specifically for reaching the byte number shared by described model answer to preset byte
The answer region of number is set to manually correct project.
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|---|---|---|---|---|
| CN108446277A (en) * | 2018-03-27 | 2018-08-24 | 北京大前科技有限责任公司 | The method and device of simulation learning |
| CN108665505A (en) * | 2017-04-02 | 2018-10-16 | 田雪松 | A kind of substrate and the data processing method based on substrate |
| CN108764074A (en) * | 2018-05-14 | 2018-11-06 | 山东师范大学 | Subjective item intelligently reading method, system and storage medium based on deep learning |
| CN109271945A (en) * | 2018-09-27 | 2019-01-25 | 广东小天才科技有限公司 | Method and system for realizing job correction on line |
| WO2019153402A1 (en) * | 2018-02-09 | 2019-08-15 | 深圳市鹰硕技术有限公司 | Method and apparatus for automatically generating choices for answer to mathematical multiple-choice question |
| CN110223554A (en) * | 2019-07-12 | 2019-09-10 | 徐娅萍 | Method to go over files based on virtual reality |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101587513A (en) * | 2008-05-23 | 2009-11-25 | 北京智慧东方信息技术有限公司 | Appraising system for short answer questions in computer auxiliary test system |
| CN104143094A (en) * | 2014-07-08 | 2014-11-12 | 北京彩云动力教育科技有限公司 | Test paper automatic test paper marking processing method and system without answer sheet |
| CN104268603A (en) * | 2014-09-16 | 2015-01-07 | 科大讯飞股份有限公司 | Intelligent marking method and system for text objective questions |
-
2016
- 2016-03-21 CN CN201610159383.6A patent/CN105844226A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101587513A (en) * | 2008-05-23 | 2009-11-25 | 北京智慧东方信息技术有限公司 | Appraising system for short answer questions in computer auxiliary test system |
| CN104143094A (en) * | 2014-07-08 | 2014-11-12 | 北京彩云动力教育科技有限公司 | Test paper automatic test paper marking processing method and system without answer sheet |
| CN104268603A (en) * | 2014-09-16 | 2015-01-07 | 科大讯飞股份有限公司 | Intelligent marking method and system for text objective questions |
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| CN108665505A (en) * | 2017-04-02 | 2018-10-16 | 田雪松 | A kind of substrate and the data processing method based on substrate |
| WO2019153402A1 (en) * | 2018-02-09 | 2019-08-15 | 深圳市鹰硕技术有限公司 | Method and apparatus for automatically generating choices for answer to mathematical multiple-choice question |
| CN108446277A (en) * | 2018-03-27 | 2018-08-24 | 北京大前科技有限责任公司 | The method and device of simulation learning |
| CN108446277B (en) * | 2018-03-27 | 2021-08-17 | 北京大前科技有限责任公司 | Method and device for simulating learning |
| CN108764074A (en) * | 2018-05-14 | 2018-11-06 | 山东师范大学 | Subjective item intelligently reading method, system and storage medium based on deep learning |
| CN108764074B (en) * | 2018-05-14 | 2019-03-19 | 山东师范大学 | Subjective item intelligently reading method, system and storage medium based on deep learning |
| CN109271945A (en) * | 2018-09-27 | 2019-01-25 | 广东小天才科技有限公司 | Method and system for realizing job correction on line |
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