CN106547909A - A kind of fallibility exam pool based on big data builds management method and equipment - Google Patents
A kind of fallibility exam pool based on big data builds management method and equipment Download PDFInfo
- Publication number
- CN106547909A CN106547909A CN201611051877.9A CN201611051877A CN106547909A CN 106547909 A CN106547909 A CN 106547909A CN 201611051877 A CN201611051877 A CN 201611051877A CN 106547909 A CN106547909 A CN 106547909A
- Authority
- CN
- China
- Prior art keywords
- target
- exercise
- target user
- user
- fallibility
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007726 management method Methods 0.000 title claims abstract description 65
- 238000000034 method Methods 0.000 claims abstract description 31
- 238000004458 analytical method Methods 0.000 claims description 14
- 238000012545 processing Methods 0.000 claims description 12
- 238000011156 evaluation Methods 0.000 claims description 6
- 238000012986 modification Methods 0.000 claims description 3
- 230000004048 modification Effects 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 abstract description 4
- 238000003860 storage Methods 0.000 description 3
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/211—Schema design and management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Strategic Management (AREA)
- General Engineering & Computer Science (AREA)
- Probability & Statistics with Applications (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- Data Mining & Analysis (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Software Systems (AREA)
- Mathematical Physics (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Fuzzy Systems (AREA)
- General Business, Economics & Management (AREA)
- Computational Linguistics (AREA)
Abstract
The present embodiments relate to field of computer technology, discloses a kind of fallibility exam pool based on big data and build management method and equipment, the method includes：Collect the answer data answered to a certain target exercise by multiple Users；Judge that whether the quantity of the plurality of User exceed prescribed number, if it does, the answer data answered to the target exercise with the plurality of User counts the wrong topic rate of the target exercise as foundation；Judge whether the wrong topic rate exceedes predetermined threshold value, if it does, the label of the target exercise is changed in Exercise Library, so that the label of the amended target exercise is used to define the target exercise for fallibility topic.Implement the embodiment of the present invention, can objectively define fallibility topic, and fallibility topic can realize dynamic, flexible management.
Description
Technical field
The present invention relates to field of computer technology, more particularly to a kind of fallibility exam pool structure management method based on big data
And equipment.
Background technology
At present, User identification fallibility is inscribed for convenience, when fallibility exam pool is built typically by teacher with artificial side
Formula to certain in Exercise Library, stamp the mark such as " fallibility ", " fallibility topic " to realize the definition to fallibility topic by some exercises.However,
Find in practice, teacher can have following defect to define fallibility and inscribe manually：Firstth, the individual completely by teacher
Subjective experience, and the experience with students of different teachers is generally different, this is just difficult to objectively define fallibility topic；Secondth, fallibility
Topic is difficult to dynamic, flexible management.
The content of the invention
The embodiment of the invention discloses a kind of fallibility exam pool based on big data builds management method and equipment, can be objective
Define fallibility topic, and fallibility topic can realize dynamic, flexible management.
Embodiment of the present invention first aspect discloses a kind of fallibility exam pool based on big data and builds management method, including：
Collect the answer data answered to a certain target exercise by multiple Users；
Judge whether the quantity of the plurality of User exceedes prescribed number, if it does, using with the plurality of student
The answer data answered to the target exercise by family is foundation, counts the wrong topic rate of the target exercise；
Judge whether the wrong topic rate exceedes predetermined threshold value, if it does, the target exercise is changed in Exercise Library
Label, so that the label of the amended target exercise is used to define the target exercise for fallibility topic.
As a kind of optional embodiment, in embodiment of the present invention first aspect, the mesh is changed in Exercise Library
The label of mark exercise, so that after the label of the amended target exercise is used to define the target exercise for fallibility topic,
Methods described also includes：
The corresponding teacher of the target exercise is obtained from the Exercise Library and evaluates and analyses information, teacher's evaluation and analysis information includes
The knowledge point of the target exercise and exercise type；
And, in the answer data answered to the target exercise from the plurality of User, it is determined that making mistake
Answer data, and from the plurality of User, determine the User of the wrong answer data of having answered as mesh
Mark User, to form target User group；
And, knowledge point and exercise type with the target exercise are inquired about from the Exercise Library at the same match except institute
Remaining exercise outside target exercise is stated as exercise to be recommended, to form workbook to be recommended；
And, at least one exercise to be recommended is chosen from the workbook to be recommended, and to the target User
At least one exercise to be recommended described in the target User recommendation that group includes.
As a kind of optional embodiment, in embodiment of the present invention first aspect, to the target User
After at least one exercise to be recommended described in the target User recommendation that group includes, methods described also includes：
Obtain the user property of each the target User in the target User group, user's category
Property include the target User corresponding class mark；
With each in target User group target User, corresponding class is designated foundation, will
The target User in the target User group is grouped according to class, obtains several target Users
Group；Wherein, the corresponding class's mark of the target User in same target User group is identical；
For target User group each described, with the target User in the target User group
Corresponding class is designated foundation, from corresponding relation of the default class mark with teaching teacher determines the target student
The corresponding objective teaching teacher of user's group；Wherein, the target exercise belongs to the course of instruction that the objective teaching teacher is responsible for
Exercise；
To target User group each described, corresponding objective teaching teacher recommends the target exercise.
As a kind of optional embodiment, in embodiment of the present invention first aspect, the mesh is changed in Exercise Library
The label of mark exercise, so that after the label of the amended target exercise is used to define the target exercise for fallibility topic,
Methods described also includes：
In the answer data answered to the target exercise from the plurality of User, wrong answer number is determined
According to, and from the plurality of User, determine the User of the wrong answer data of having answered as target student
User, to form target User group；
Obtain the user property of each the target User in the target User group, user's category
Property include the target User corresponding class mark；
With each in target User group target User, corresponding class is designated foundation, will
The target User in the target User group is grouped according to class, obtains several target Users
Group；Wherein, the corresponding class's mark of the target User in same target User group is identical；
For target User group each described, with the target User in the target User group
Corresponding class is designated foundation, from corresponding relation of the default class mark with teaching teacher determines the target student
The corresponding objective teaching teacher of user's group；Wherein, the target exercise belongs to the course of instruction that the objective teaching teacher is responsible for
Exercise；
To target User group each described, corresponding objective teaching teacher recommends the target exercise.
As a kind of optional embodiment, in embodiment of the present invention first aspect, with the plurality of User pair
The answer data answered by the target exercise is foundation, counts the wrong topic rate of the target exercise, including：
In the answer data answered to the target exercise from the plurality of User, wrong answer number is counted
According to quantity；
Count the wrong answer data quantity account for the answer data total quantity ratio value, as the target
The wrong topic rate of exercise.
Embodiment of the present invention second aspect discloses a kind of fallibility exam pool based on big data and builds management equipment, including：
Collector unit, for collecting the answer data answered to a certain target exercise by multiple Users；
First judging unit, for judging whether the quantity of the plurality of User exceedes prescribed number；
Statistic unit, for the judged result of first judging unit be more than when, with the plurality of User
The answer data answered to the target exercise is foundation, counts the wrong topic rate of the target exercise；
Second judging unit, for judging whether the wrong topic rate exceedes predetermined threshold value；
Processing unit, for the judged result of second judging unit be more than when, change described in Exercise Library
The label of target exercise, so that the label of the amended target exercise is used to define the target exercise for fallibility topic.
As a kind of optional embodiment, in embodiment of the present invention second aspect, the fallibility exam pool builds management
Equipment also includes：
First acquisition unit, for the label of the target exercise is changed in the processing unit in Exercise Library, so that
After the label of the amended target exercise is used to define the target exercise for fallibility topic, obtain from the Exercise Library
The corresponding teacher of the target exercise evaluates and analyses information, and teacher's evaluation and analysis information includes knowledge point and the exercise of the target exercise
Type；
First determining unit, for the answer data answered to the target exercise from the plurality of User
In, wrong answer data are determined, and the wrong answer data of having answered are determined from the plurality of User
User as target User, to form target User group；
Query unit, for knowledge point and exercise type with the target exercise are inquired about from the Exercise Library and meanwhile
Remaining exercise in addition to the target exercise matched somebody with somebody as exercise to be recommended, to form workbook to be recommended；
First recommendation unit, for choosing at least together exercise to be recommended from the workbook to be recommended, and to described
At least one exercise to be recommended described in the target User recommendation that target User group includes.
As a kind of optional embodiment, in embodiment of the present invention second aspect, the fallibility exam pool builds management
Equipment also includes：
Second acquisition unit, for the target included to the target User group in first recommendation unit
After at least one exercise to be recommended described in User recommendation, each the described mesh in the target User group is obtained
The user property of mark User, the user property include the corresponding class's mark of the target User；
First grouped element, for corresponding with each the described target User in the target User group
Class is designated foundation, and the target User in the target User group is grouped according to class, obtains
Several target User groups；Wherein, the target User in same target User group is corresponding
Class's mark is identical；
Second determining unit, for for each described target User group, with the target User group
The corresponding class of the target User be designated foundation, from default class mark with teaching teacher corresponding relation in
Determine the corresponding objective teaching teacher of the target User group；Wherein, the target exercise belongs to the objective teaching
The Exercise of the course of instruction that teacher is responsible for；
First recommendation unit, is additionally operable to the corresponding objective teaching teacher of target User group each described push away
Recommend the target exercise.
As a kind of optional embodiment, in embodiment of the present invention second aspect, the fallibility exam pool builds management
Equipment also includes：
3rd determining unit, for the label of the target exercise is changed in the processing unit in Exercise Library, so that
After the label of the amended target exercise is used to define the target exercise for fallibility topic, from the plurality of User
In the answer data answered to the target exercise, wrong answer data are determined, and from the plurality of User
In determine the User of the wrong answer data of having answered as target User, to form target User
Group；
3rd acquiring unit, for obtaining the use of each the target User in the target User group
Family attribute, the user property include the corresponding class's mark of the target User；
Second packet unit, for corresponding with each the described target User in the target User group
Class is designated foundation, and the target User in the target User group is grouped according to class, obtains
Several target User groups；Wherein, the target User in same target User group is corresponding
Class's mark is identical；
4th determining unit, for for each described target User group, with the target User group
The corresponding class of the target User be designated foundation, from default class mark with teaching teacher corresponding relation in
Determine the corresponding objective teaching teacher of the target User group；Wherein, the target exercise belongs to the objective teaching
The Exercise of the course of instruction that teacher is responsible for；
Second recommendation unit, it is described for recommending to the corresponding objective teaching teacher of target User group each described
Target exercise.
As a kind of optional embodiment, in embodiment of the present invention second aspect, the statistic unit is with described more
The answer data answered to the target exercise by individual User is foundation, counts the side of the wrong topic rate of the target exercise
Formula is specially：
In the answer data answered from the plurality of User to the target exercise by the statistic unit, statistics
Make mistake the quantity of answer data, and count the wrong answer data quantity account for the answer data total quantity ratio
Example value, as the wrong topic rate of the target exercise.
Compared with prior art, the embodiment of the present invention possesses following beneficial effect：
In the embodiment of the present invention, the answer data answered to a certain target exercise by multiple Users can be collected,
And when the quantity for judging the plurality of User exceedes prescribed number, the target exercise is carried out with the plurality of User
The answer data answered is foundation, counts the wrong topic rate of the target exercise；When judging that the wrong topic rate exceedes predetermined threshold value, can be with
The label of the target exercise is changed in Exercise Library, so that the label of the amended target exercise is used to define the target exercise
Inscribe for fallibility.Obviously, implement the embodiment of the present invention, the definition of fallibility topic depends no longer on the personal subjective experience of teacher, but
After the answer data (i.e. big data) answered to target exercise by multiple Users according to collecting is judged and is counted
Define out, such that it is able to objectively define fallibility topic；Additionally, the definition of fallibility topic without the need for teacher manually determining
Justice, such that it is able to realize dynamic, the flexible management of fallibility topic.
Description of the drawings
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, below by to be used needed for embodiment
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for ability
For the those of ordinary skill of domain, on the premise of not paying creative work, can be attached to obtain others according to these accompanying drawings
Figure.
Fig. 1 is the flow process signal that a kind of fallibility exam pool based on big data disclosed in the embodiment of the present invention builds management method
Figure；
Fig. 2 is that the flow process that another kind of fallibility exam pool based on big data disclosed in the embodiment of the present invention builds management method is shown
It is intended to；
Fig. 3 is that the flow process that another kind of fallibility exam pool based on big data disclosed in the embodiment of the present invention builds management method is shown
It is intended to；
Fig. 4 is that the flow process that another kind of fallibility exam pool based on big data disclosed in the embodiment of the present invention builds management method is shown
It is intended to；
Fig. 5 is the structural representation that a kind of fallibility exam pool based on big data disclosed in the embodiment of the present invention builds managing device
Figure；
Fig. 6 is that the structure that another kind of fallibility exam pool based on big data disclosed in the embodiment of the present invention builds managing device is shown
It is intended to；
Fig. 7 is that the structure that another kind of fallibility exam pool based on big data disclosed in the embodiment of the present invention builds managing device is shown
It is intended to；
Fig. 8 is that the structure that another kind of fallibility exam pool based on big data disclosed in the embodiment of the present invention builds managing device is shown
It is intended to.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than the embodiment of whole.Based on this
Embodiment in invention, the every other reality obtained under the premise of creative work is not made by those of ordinary skill in the art
Example is applied, the scope of protection of the invention is belonged to.
The embodiment of the invention discloses a kind of fallibility exam pool based on big data builds management method and equipment, can be objective
Define fallibility topic, and fallibility topic can realize dynamic, flexible management.Below it is combined accompanying drawing to be described in detail.
Embodiment one
Fig. 1 is referred to, Fig. 1 is that a kind of fallibility exam pool based on big data builds management method disclosed in the embodiment of the present invention
Schematic flow sheet.As shown in figure 1, management method should be built based on the fallibility exam pool of big data may comprise steps of：
101st, collect the answer data answered to a certain target exercise by multiple Users.
In the embodiment of the present invention, multiple Users can be collected by service equipment a certain target exercise is answered
Answer data.Wherein, service equipment can be that server, service platform, service host or high in the clouds platform etc. can be carried out
The equipment of big data process, the embodiment of the present invention are not construed as limiting.
In a kind of preferred scene, service equipment can also be laid in inside school, and further service equipment can be with
The terminal unit (such as study flat board, study mobile phone) of each User inside wireless network (such as WIFI) and school, teaching
The terminal unit (such as teaching flat board, teaching electronic brain) of teacher sets up data communication connection, and on this basis, service equipment can be received
Collect multiple Users that multiple Users are reported by respective terminal unit to answering that a certain target exercise is answered
Case data.Wherein, the target exercise can be recommended the terminal unit of the plurality of User in advance by service equipment.
It should be noted that the service equipment being related in subsequent embodiment is each meant with interacting for target User
Interacting between service equipment and the terminal unit of target User, and service equipment with interacting for objective teaching teacher is
Refer to interacting between service equipment and the terminal unit of objective teaching teacher, the embodiment of the present invention is subsequently no longer repeated.
102nd, judge whether the quantity of the plurality of User exceedes prescribed number, if it does, execution step 103；Instead
It, if not less than process ends.
In the embodiment of the present invention, can judge by service equipment whether the quantity of the plurality of User exceedes nominator
Number, if it does, execution step 103；, whereas if not less than process ends.Wherein, it is intended that the value of number can be with root
According to needing to be configured, when the value of prescribed number is bigger, fallibility topic more can exactly, be objectively defined.
103rd, the answer data answered to the target exercise with the plurality of User is counted the target and is practised as foundation
The wrong topic rate of topic.
For example, the answer data that service equipment can be answered from the plurality of User to the target exercise
In, the quantity of wrong answer data is counted, and can be total with above-mentioned answer data with the quantity of mistake of statistics answer data
The ratio value of quantity, as wrong topic rate n of the target exercise.
104th, judge whether the wrong topic rate exceedes predetermined threshold value, if it does, execution step 105；, whereas if not surpassing
Cross, process ends.
For example, service equipment can wrong topic rate n more than 40% (i.e. predetermined threshold value), if it does, execution step
105；, whereas if not less than process ends.
105th, the label of the target exercise is changed in Exercise Library, so that the label of the amended target exercise is used to determine
The adopted target exercise is inscribed for fallibility.
Used as a kind of optional embodiment, after execution step 105, service equipment can be in Exercise Library for service equipment
In give target exercise binding wrong topic rate attribute, the wrong topic rate attribute includes wrong topic rate n.
Used as a kind of optional embodiment, in execution step 104, service equipment judges that the wrong topic rate exceedes predetermined threshold value
Afterwards, and before execution step 105, service equipment can first identify whether the label of the target exercise has been used for definition
The target exercise is fallibility topic, if not, service equipment execution step 105 again.
Used as a kind of optional embodiment, service equipment judges the wrong topic rate not less than default threshold in execution step 104
After value, it is easy that service equipment can also further identify whether the label of the target exercise has been used for defining the target exercise
Wrong topic, if it is, service equipment can change the label of the target exercise in Exercise Library, so that the amended target exercise
Label be used for define the target exercise for non-fallibility topic so that definition fallibility inscribe can be with student ability
Change and change, realize dynamic, the flexible management inscribed to fallibility.
Wherein, implement the method described by Fig. 1, the definition of fallibility topic depends no longer on the personal subjective experience of teacher, and
It is that the answer data (i.e. big data) answered to target exercise according to the multiple Users collected is judged and counted
Define out afterwards, such that it is able to objectively define fallibility topic；Additionally, the definition of fallibility topic comes manually without the need for teacher
Definition, such that it is able to realize dynamic, the flexible management of fallibility topic.
Embodiment two
Fig. 2 is referred to, Fig. 2 is that another kind of fallibility exam pool based on big data builds manager disclosed in the embodiment of the present invention
The schematic flow sheet of method.As shown in Fig. 2 management method should be built based on the fallibility exam pool of big data may comprise steps of：
201st, service equipment collects the answer data answered to a certain target exercise by multiple Users.
202nd, service equipment judges whether the quantity of the plurality of User exceedes prescribed number, if it does, performing step
Rapid 203；, whereas if not less than process ends.
203rd, the answer data answered to the target exercise with the plurality of User by service equipment is as foundation, statistics
The wrong topic rate of the target exercise.
204th, service equipment judges whether the wrong topic rate exceedes predetermined threshold value, if it does, execution step 205～209；Instead
It, if not less than process ends.
Used as a kind of optional embodiment, service equipment judges the wrong topic rate not less than default threshold in execution step 204
After value, it is easy that service equipment can also further identify whether the label of the target exercise has been used for defining the target exercise
Wrong topic, if it is, service equipment can change the label of the target exercise in Exercise Library, so that the amended target exercise
Label be used to defining the target exercise for non-fallibility topic, and service equipment can release the target exercise in Exercise Library and tie up
Fixed wrong topic rate attribute.So that the fallibility topic of definition can change with the change of student ability, realize to easy
The dynamic of wrong topic, flexible management.
205th, service equipment changes the label of the target exercise in Exercise Library, so that the mark of the amended target exercise
Sign and inscribe for fallibility for defining the target exercise.
Used as a kind of optional embodiment, after execution step 205, service equipment can be in Exercise Library for service equipment
In give target exercise binding wrong topic rate attribute, the wrong topic rate attribute includes wrong topic rate n.
206th, service equipment obtains the corresponding teacher of the target exercise from Exercise Library and evaluates and analyses information, and the teacher evaluates and analyses information
Knowledge point and exercise type including the target exercise.
For example, the knowledge point of the target exercise can be logarithm, and the exercise type of the target exercise can be selected
Topic.
207th, in the answer data answered from the plurality of User to the target exercise by service equipment, it is determined that error
Answer data is missed, and from the plurality of User, determines the User of wrong answer data of having answered as target
Raw user, to form target User group.
208th, service equipment inquires about knowledge point with the target exercise and exercise type from Exercise Library while what is matched removes
Remaining exercise outside the target exercise as exercise to be recommended, to form workbook to be recommended.
209th, service equipment chooses at least one exercise to be recommended from workbook to be recommended, and to target User group
Comprising target User recommend above-mentioned at least together exercise to be recommended.
Wherein, implement 206～step 209 of above-mentioned steps to push away to the target User of wrong answer data of having answered
Recommend the target exercise knowledge point and exercise type at the same matching remaining exercise in addition to the target exercise so that make
The target User for having answered wrong answer data targetedly can be answered exercise, improve learning efficiency.
Wherein, implement the method described by Fig. 2, the definition of fallibility topic depends no longer on the personal subjective experience of teacher, and
It is that the answer data (i.e. big data) answered to target exercise according to the multiple Users collected is judged and counted
Define out afterwards, such that it is able to objectively define fallibility topic；Additionally, the definition of fallibility topic comes manually without the need for teacher
Definition, such that it is able to realize dynamic, the flexible management of fallibility topic.
Embodiment three
Fig. 3 is referred to, Fig. 3 is that another kind of fallibility exam pool based on big data builds manager disclosed in the embodiment of the present invention
The schematic flow sheet of method.As shown in figure 3, management method should be built based on the fallibility exam pool of big data may comprise steps of：
301st, service equipment collects the answer data answered to a certain target exercise by multiple Users.
302nd, service equipment judges whether the quantity of the plurality of User exceedes prescribed number, if it does, performing step
Rapid 303；, whereas if not less than process ends.
303rd, the answer data answered to the target exercise with the plurality of User by service equipment is as foundation, statistics
The wrong topic rate of the target exercise.
304th, service equipment judges whether the wrong topic rate exceedes predetermined threshold value, if it does, execution step 305～313；Instead
It, if not less than process ends.
Used as a kind of optional embodiment, service equipment judges the wrong topic rate not less than default threshold in execution step 304
After value, it is easy that service equipment can also further identify whether the label of the target exercise has been used for defining the target exercise
Wrong topic, if it is, service equipment can change the label of the target exercise in Exercise Library, so that the amended target exercise
Label be used to defining the target exercise for non-fallibility topic, and service equipment can release the target exercise in Exercise Library and tie up
Fixed wrong topic rate attribute.So that the fallibility topic of definition can change with the change of student ability, realize to easy
The dynamic of wrong topic, flexible management.
305th, service equipment changes the label of the target exercise in Exercise Library, so that the mark of the amended target exercise
Sign and inscribe for fallibility for defining the target exercise.
Used as a kind of optional embodiment, in execution step 304, service equipment judges that the wrong topic rate exceedes predetermined threshold value
Afterwards, and before execution step 305, service equipment can first identify whether the label of the target exercise has been used for definition
The target exercise is fallibility topic, if not, service equipment execution step 305 again.
Used as a kind of optional embodiment, after execution step 305, service equipment can be in Exercise Library for service equipment
In give target exercise binding wrong topic rate attribute, the wrong topic rate attribute includes wrong topic rate n.
306th, service equipment obtains the corresponding teacher of the target exercise from Exercise Library and evaluates and analyses information, and the teacher evaluates and analyses information
Knowledge point and exercise type including the target exercise.
For example, the knowledge point of the target exercise can be positive negative, and the exercise type of the target exercise can be choosing
Select topic.
307th, in the answer data answered from the plurality of User to the target exercise by service equipment, it is determined that error
Answer data is missed, and from the plurality of User, determines the User of wrong answer data of having answered as target
Raw user, to form target User group.
308th, service equipment inquires about knowledge point with the target exercise and exercise type from Exercise Library while what is matched removes
Remaining exercise outside the target exercise as exercise to be recommended, to form workbook to be recommended.
309th, service equipment chooses at least one exercise to be recommended from workbook to be recommended, and to target User group
Comprising target User recommend above-mentioned at least together exercise to be recommended.
Wherein, implement 306～step 309 of above-mentioned steps to push away to the target User of wrong answer data of having answered
Recommend the target exercise knowledge point and exercise type at the same matching remaining exercise in addition to the target exercise so that make
The target User for having answered wrong answer data targetedly can be answered exercise, improve learning efficiency.
310th, service equipment obtains the user property of each the target User in target User group, the use
Family attribute includes the corresponding class's mark of the target User.
The optional user property can also include the information such as the corresponding sex of target User, the age.
311st, service equipment with each the corresponding class of target User in target User group be designated according to
According to the target User in target User group is grouped according to class, several target User groups are obtained；
Wherein, the corresponding class's mark of target User in same target User group is identical.
312nd, service equipment is directed to each target User group, is used with the target student in the target User group
The corresponding class in family is designated foundation, from corresponding relation of the default class mark with teaching teacher determines target student
The corresponding objective teaching teacher of user's group；Wherein, the target exercise belongs to the one of the course of instruction that objective teaching teacher is responsible for
Road exercise.
For example, when the course of instruction that objective teaching teacher is responsible for is mathematics, the target exercise belongs to the target and teaches
Learn the Exercise of the mathematics that teacher is responsible for.
313rd, service equipment recommends the target exercise to the corresponding objective teaching teacher of each target User group.
In the embodiment of the present invention, the corresponding objective teaching teacher of any two target User group can with difference, so as to
Service equipment is allowd to recommend the target exercise to the corresponding objective teaching teacher of several target User groups side by side,
Allow the corresponding objective teaching teacher of several target User groups with the target exercise as reference, side by side to respective
Teaching is targetedly taught by responsible class, such that it is able to improve the learning efficiency of the User of each class parallel,
Reduce the gap of the school grade of the User of each class.
Wherein, the method described by implementing Fig. 3, the definition of fallibility topic depend no longer on the personal subjective experience of teacher, and
It is that the answer data (i.e. big data) answered to target exercise according to the multiple Users collected is judged and counted
Define out afterwards, such that it is able to objectively define fallibility topic；Additionally, the definition of fallibility topic comes manually without the need for teacher
Definition, such that it is able to realize dynamic, the flexible management of fallibility topic.
Example IV
Fig. 4 is referred to, Fig. 4 is that another kind of fallibility exam pool based on big data builds manager disclosed in the embodiment of the present invention
The schematic flow sheet of method.As shown in figure 4, management method should be built based on the fallibility exam pool of big data may comprise steps of：
401st, service equipment collects the answer data answered to a certain target exercise by multiple Users.
402nd, service equipment judges whether the quantity of the plurality of User exceedes prescribed number, if it does, performing step
Rapid 403；, whereas if not less than process ends.
403rd, the answer data answered to the target exercise with the plurality of User by service equipment is as foundation, statistics
The wrong topic rate of the target exercise.
404th, service equipment judges whether the wrong topic rate exceedes predetermined threshold value, if it does, execution step 405～410；Instead
It, if not less than process ends.
Used as a kind of optional embodiment, service equipment judges the wrong topic rate not less than default threshold in execution step 404
After value, it is easy that service equipment can also further identify whether the label of the target exercise has been used for defining the target exercise
Wrong topic, if it is, service equipment can change the label of the target exercise in Exercise Library, so that the amended target exercise
Label be used to defining the target exercise for non-fallibility topic, and service equipment can release the target exercise in Exercise Library and tie up
Fixed wrong topic rate attribute.So that the fallibility topic of definition can change with the change of student ability, realize to easy
The dynamic of wrong topic, flexible management.
405th, service equipment changes the label of the target exercise in Exercise Library, so that the mark of the amended target exercise
Sign and inscribe for fallibility for defining the target exercise.
Used as a kind of optional embodiment, in execution step 404, service equipment judges that the wrong topic rate exceedes predetermined threshold value
Afterwards, and before execution step 405, service equipment can first identify whether the label of the target exercise has been used for definition
The target exercise is fallibility topic, if not, service equipment execution step 405 again.
Used as a kind of optional embodiment, after execution step 405, service equipment can be in Exercise Library for service equipment
In give target exercise binding wrong topic rate attribute, the wrong topic rate attribute includes wrong topic rate n.
406th, in the answer data answered from the plurality of User to the target exercise by service equipment, it is determined that error
Answer data is missed, and from the plurality of User, determines the User of wrong answer data of having answered as target
Raw user, to form target User group.
407th, service equipment obtains the user property of each the target User in target User group, the use
Family attribute includes the corresponding class's mark of the target User.
408th, service equipment with each the corresponding class of target User in target User group be designated according to
According to the target User in target User group is grouped according to class, several target User groups are obtained；
Wherein, the corresponding class's mark of target User in same target User group is identical.
409th, service equipment is directed to each target User group, is used with the target student in the target User group
The corresponding class in family is designated foundation, from corresponding relation of the default class mark with teaching teacher determines target student
The corresponding objective teaching teacher of user's group；Wherein, the target exercise belongs to the one of the course of instruction that objective teaching teacher is responsible for
Road exercise.
410th, service equipment recommends the target exercise to the corresponding objective teaching teacher of each target User group.
In the embodiment of the present invention, the corresponding objective teaching teacher of any two target User group can with difference, so as to
Service equipment is allowd to recommend the target exercise to the corresponding objective teaching teacher of several target User groups side by side,
Allow the corresponding objective teaching teacher of several target User groups with the target exercise as reference, side by side to respective
Teaching is targetedly taught by responsible class, such that it is able to improve the learning efficiency of the User of each class parallel,
Reduce the gap of the school grade of the User of each class.
Wherein, implement the method described by Fig. 4, the definition of fallibility topic depends no longer on the personal subjective experience of teacher, and
It is that the answer data (i.e. big data) answered to target exercise according to the multiple Users collected is judged and counted
Define out afterwards, such that it is able to objectively define fallibility topic；Additionally, the definition of fallibility topic comes manually without the need for teacher
Definition, such that it is able to realize dynamic, the flexible management of fallibility topic.
Embodiment five
Fig. 5 is referred to, Fig. 5 is that a kind of fallibility exam pool based on big data builds management equipment disclosed in the embodiment of the present invention
Structural representation.Wherein, the fallibility exam pool based on big data shown in Fig. 5 builds management equipment and can be used for performing above-mentioned clothes
The function of business equipment.As shown in figure 5, management equipment should be built based on the fallibility exam pool of big data can include：
Collector unit 501, for collecting the answer data answered to a certain target exercise by multiple Users；
First judging unit 502, for judging whether the quantity of the plurality of User exceedes prescribed number；
Statistic unit 503, for the judged result of the first judging unit 503 be more than when, with the plurality of User
The answer data answered to the target exercise is foundation, counts the wrong topic rate of the target exercise；
Second judging unit 504, for judging whether the wrong topic rate exceedes predetermined threshold value；
Processing unit 505, for the judged result of the second judging unit 504 be more than when, in Exercise Library modification should
The label of target exercise, so that the label of the amended target exercise is used to define the target exercise for fallibility topic.
In the embodiment of the present invention, the answer answered to the target exercise with the plurality of User by statistic unit 503
Data are foundation, and the mode for counting the wrong topic rate of the target exercise can be：
In the answer data answered from the plurality of User to the target exercise by statistic unit 503, statistics error
The by mistake quantity of answer data, and count the wrong answer data quantity account for the answer data total quantity ratio value, make
For the wrong topic rate of the target exercise.
Used as a kind of optional embodiment, processing unit 505 changes the label of the target exercise in Exercise Library, so that
After the label of the amended target exercise is used to define the target exercise for fallibility topic, the target can be given in Exercise Library
The wrong topic rate attribute of exercise binding, the wrong topic rate attribute include wrong topic rate n.
As a kind of optional embodiment, processing unit 505 the second judging unit 504 judged result be more than
When, can first identify whether the label of the target exercise has been used for defining the target exercise for fallibility topic, if not, just practising
The label of the target exercise is changed in exam pool, so that it is easy that the label of the amended target exercise is used to define the target exercise
Wrong topic.
As a kind of optional embodiment, processing unit 505 the second judging unit 504 judged result be not less than
When, it is also possible to further identify whether the label of the target exercise has been used for defining the target exercise for fallibility topic, if it is,
The label of the target exercise can be changed in Exercise Library, so that the label of the amended target exercise is used to define the target
Exercise is inscribed for non-fallibility, so that the fallibility topic of definition can change with the change of student ability, is realized to easy
The dynamic of wrong topic, flexible management.
Wherein, implement the fallibility exam pool based on big data described by Fig. 5 and build management equipment, the definition of fallibility topic is no longer
Depending on the personal subjective experience of teacher, but answer number target exercise answered according to the multiple Users collected
Judged according to (i.e. big data) and define out after being counted, such that it is able to objectively defining fallibility topic；Additionally, fallibility topic
Definition without the need for teacher manually defining, such that it is able to realize dynamic, the flexible management of fallibility topic.
Embodiment six
Fig. 6 is referred to, Fig. 6 is that another kind of fallibility exam pool structure management based on big data sets disclosed in the embodiment of the present invention
Standby structural representation.Wherein, it is base as shown in Figure 5 that the fallibility exam pool based on big data shown in Fig. 6 builds management equipment
Management equipment is built in the fallibility exam pool of big data and is optimized what is obtained.With the fallibility exam pool based on big data shown in Fig. 5
Build management equipment to compare, the fallibility exam pool based on big data shown in Fig. 6 builds management equipment can also be included：
First acquisition unit 506, for the label of the target exercise is changed in processing unit 505 in Exercise Library, so that
After the label of the amended target exercise is used to define the target exercise for fallibility topic, the target is obtained from Exercise Library and is practised
Corresponding teacher's evaluation and analysis information is inscribed, wherein, teacher's evaluation and analysis information includes knowledge point and the exercise type of the target exercise；
First determining unit 507, in the answer data answered to the target exercise from the plurality of User,
Wrong answer data are determined, and determines that the User of wrong answer data of having answered is made from the plurality of User
For target User, to form target User group；
Query unit 508, for the inquiry from Exercise Library with the knowledge point of the target exercise and exercise type while matching
Remaining exercise in addition to the target exercise as exercise to be recommended, to form workbook to be recommended；
First recommendation unit 509, at least one exercise to be recommended is chosen from workbook to be recommended, and to target
The target User that raw customer group is included recommends above-mentioned at least one exercise to be recommended.
Wherein, the embodiment of the present invention can recommend the target exercise to the target User of wrong answer data of having answered
Knowledge point and remaining exercise in addition to the target exercise for simultaneously matching of exercise type so that wrong answer of having answered
The target User of data targetedly can be answered exercise, improve learning efficiency.
Embodiment seven
Fig. 7 is referred to, Fig. 7 is that another kind of fallibility exam pool structure management based on big data sets disclosed in the embodiment of the present invention
Standby structural representation.Wherein, it is base as shown in Figure 6 that the fallibility exam pool based on big data shown in Fig. 7 builds management equipment
Management equipment is built in the fallibility exam pool of big data and is optimized what is obtained.With the fallibility exam pool based on big data shown in Fig. 6
Build management equipment to compare, the fallibility exam pool based on big data shown in Fig. 7 builds management equipment can also be included：
Second acquisition unit 510, for using to the target student that target User group includes in the first recommendation unit 509
After above-mentioned at least one exercise to be recommended is recommended at family, the use of each the target User in target User group is obtained
Family attribute, user property include the corresponding class's mark of target User；
First grouped element 511, for each the corresponding class of target User in target User group
Foundation is designated, the target User in target User group is grouped according to class, several targets are obtained
Raw user's group；Wherein, the corresponding class's mark of target User in same target User group is identical；
Second determining unit 512, for for each target User group, with the mesh in the target User group
The corresponding class of mark User is designated foundation, from corresponding relation of the default class mark with teaching teacher determines this
The corresponding objective teaching teacher of target User group；Wherein, the target exercise belongs to the teaching that objective teaching teacher is responsible for
Section's purpose Exercise；
First recommendation unit 509, is additionally operable to recommend institute to the corresponding objective teaching teacher of each target User group
State target exercise.
In the embodiment of the present invention, the corresponding objective teaching teacher of any two target User group can with difference, so as to
Service equipment is allowd to recommend the target exercise to the corresponding objective teaching teacher of several target User groups side by side,
Allow the corresponding objective teaching teacher of several target User groups with the target exercise as reference, side by side to respective
Teaching is targetedly taught by responsible class, such that it is able to improve the learning efficiency of the User of each class parallel,
Reduce the gap of the school grade of the User of each class.
Embodiment eight
Fig. 8 is referred to, Fig. 8 is that another kind of fallibility exam pool structure management based on big data sets disclosed in the embodiment of the present invention
Standby structural representation.Wherein, it is base as shown in Figure 5 that the fallibility exam pool based on big data shown in Fig. 8 builds management equipment
Management equipment is built in the fallibility exam pool of big data and is optimized what is obtained.With the fallibility exam pool based on big data shown in Fig. 5
Build management equipment to compare, the fallibility exam pool based on big data shown in Fig. 8 builds management equipment can also be included：
3rd determining unit 513, for the label of the target exercise is changed in processing unit 505 in Exercise Library, so that
After the label of the amended target exercise is used to define the target exercise for fallibility topic, from the plurality of User to the mesh
In the answer data answered by mark exercise, wrong answer data are determined, and work is determined from the plurality of User
The User of wrong answer data is answered as target User, to form target User group；
3rd acquiring unit 514, the user for obtaining each the target User in target User group belong to
Property, user property includes the corresponding class's mark of the target User；
Second packet unit 515, for each the corresponding class of target User in target User group
Foundation is designated, the target User in target User group is grouped according to class, several targets are obtained
Raw user's group；Wherein, the corresponding class's mark of target User in same target User group is identical；
4th determining unit 516, for for each target User group, with the mesh in the target User group
The corresponding class of mark User is designated foundation, from corresponding relation of the default class mark with teaching teacher determines this
The corresponding objective teaching teacher of target User group；Wherein, the target exercise belongs to the teaching that objective teaching teacher is responsible for
Section's purpose Exercise；
Second recommendation unit 517, for recommending target to the corresponding objective teaching teacher of each target User group
Exercise.
In the embodiment of the present invention, the corresponding objective teaching teacher of any two target User group can with difference, so as to
Service equipment is allowd to recommend the target exercise to the corresponding objective teaching teacher of several target User groups side by side,
Allow the corresponding objective teaching teacher of several target User groups with the target exercise as reference, side by side to respective
Teaching is targetedly taught by responsible class, such that it is able to improve the learning efficiency of the User of each class parallel,
Reduce the gap of the school grade of the User of each class.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can
Instruct related hardware to complete with by program, the program can be stored in a computer-readable recording medium, storage
Medium include read only memory (Read-Only Memory, ROM), random access memory (Random Access Memory,
RAM), programmable read only memory (Programmable Read-only Memory, PROM), erasable programmable is read-only deposits
Reservoir (Erasable Programmable Read Only Memory, EPROM), disposable programmable read only memory (One-
Time Programmable Read-Only Memory, OTPROM), the electronics formula of erasing can make carbon copies read only memory
(Electrically-Erasable Programmable Read-Only Memory, EEPROM), read-only optical disc (Compact
Disc Read-Only Memory, CD-ROM) or other disk storages, disk memory, magnetic tape storage or can
For carrying or computer-readable any other medium of data storage.
Above to disclosed in the embodiment of the present invention, a kind of fallibility exam pool based on big data builds management method and equipment enters
Go and be discussed in detail, specific case used herein has been set forth to the principle and embodiment of the present invention, and the above is implemented
The explanation of example is only intended to help and understands the method for the present invention and its core concept；Simultaneously for the general technology people of this area
Member, according to the thought of the present invention, will change in specific embodiments and applications, in sum, this explanation
Book content should not be construed as limiting the invention.
Claims (10)
1. a kind of fallibility exam pool based on big data builds management method, it is characterised in that include：
Collect the answer data answered to a certain target exercise by multiple Users；
Judge whether the quantity of the plurality of User exceedes prescribed number, if it does, with the plurality of User pair
The answer data answered by the target exercise is foundation, counts the wrong topic rate of the target exercise；
Judge whether the wrong topic rate exceedes predetermined threshold value, if it does, the label of the target exercise is changed in Exercise Library,
So that the label of the amended target exercise is used to define the target exercise for fallibility topic.
2. fallibility exam pool according to claim 1 builds management method, it is characterised in that the mesh is changed in Exercise Library
The label of mark exercise, so that after the label of the amended target exercise is used to define the target exercise for fallibility topic,
Methods described also includes：
The corresponding teacher of the target exercise is obtained from the Exercise Library and evaluates and analyses information, teacher's evaluation and analysis information includes described
The knowledge point of target exercise and exercise type；
And, in the answer data answered to the target exercise from the plurality of User, determine wrong answer
Data, and from the plurality of User, determine the User of the wrong answer data of having answered as target
Raw user, to form target User group；
And, knowledge point and exercise type with the target exercise are inquired about from the Exercise Library at the same match except the mesh
Mark exercise outside remaining exercise as exercise to be recommended, to form workbook to be recommended；
And, at least one exercise to be recommended is chosen from the workbook to be recommended, and is wrapped to the target User group
At least one exercise to be recommended described in the target User recommendation for containing.
3. fallibility exam pool according to claim 2 builds management method, it is characterised in that to the target User
After at least one exercise to be recommended described in the target User recommendation that group includes, methods described also includes：
Obtain the user property of each the target User in the target User group, the user property bag
Include the corresponding class's mark of the target User；
With each in target User group target User, corresponding class is designated foundation, will be described
The target User in target User group is grouped according to class, obtains several target User groups；
Wherein, the corresponding class's mark of the target User in same target User group is identical；
For target User group each described, with the target User correspondence in the target User group
Class be designated foundation, from default class mark with teaching teacher corresponding relation in determine the target User
The corresponding objective teaching teacher of group；Wherein, the target exercise belongs to the one of the course of instruction that the objective teaching teacher is responsible for
Road exercise；
To target User group each described, corresponding objective teaching teacher recommends the target exercise.
4. fallibility exam pool according to claim 1 builds management method, it is characterised in that the mesh is changed in Exercise Library
The label of mark exercise, so that after the label of the amended target exercise is used to define the target exercise for fallibility topic,
Methods described also includes：
In the answer data answered to the target exercise from the plurality of User, wrong answer data are determined,
And determine that the User of the wrong answer data of having answered is used as target student from the plurality of User
Family, to form target User group；
Obtain the user property of each the target User in the target User group, the user property bag
Include the corresponding class's mark of the target User；
With each in target User group target User, corresponding class is designated foundation, will be described
The target User in target User group is grouped according to class, obtains several target User groups；
Wherein, the corresponding class's mark of the target User in same target User group is identical；
For target User group each described, with the target User correspondence in the target User group
Class be designated foundation, from default class mark with teaching teacher corresponding relation in determine the target User
The corresponding objective teaching teacher of group；Wherein, the target exercise belongs to the one of the course of instruction that the objective teaching teacher is responsible for
Road exercise；
To target User group each described, corresponding objective teaching teacher recommends the target exercise.
5. the fallibility exam pool according to any one of Claims 1 to 4 builds management method, it is characterised in that with the plurality of
The answer data answered to the target exercise by User is foundation, counts the wrong topic rate of the target exercise, including：
In the answer data answered to the target exercise from the plurality of User, wrong answer data are counted
Quantity；
Count the wrong answer data quantity account for the answer data total quantity ratio value, as the target exercise
Wrong topic rate.
6. a kind of fallibility exam pool based on big data builds management equipment, it is characterised in that include：
Collector unit, for collecting the answer data answered to a certain target exercise by multiple Users；
First judging unit, for judging whether the quantity of the plurality of User exceedes prescribed number；
Statistic unit, for the judged result of first judging unit be more than when, with the plurality of User to institute
It is foundation to state the answer data answered by target exercise, counts the wrong topic rate of the target exercise；
Second judging unit, for judging whether the wrong topic rate exceedes predetermined threshold value；
Processing unit, for the judged result of second judging unit be more than when, the target is changed in Exercise Library
The label of exercise, so that the label of the amended target exercise is used to define the target exercise for fallibility topic.
7. fallibility exam pool according to claim 6 builds management equipment, it is characterised in that also include：
First acquisition unit, for changing the label of the target exercise in the processing unit in Exercise Library, so that modification
After the label of the target exercise afterwards is used to define the target exercise for fallibility topic, obtain described from the Exercise Library
The corresponding teacher of target exercise evaluates and analyses information, and teacher's evaluation and analysis information includes knowledge point and the exercise class of the target exercise
Type；
First determining unit, in the answer data answered to the target exercise from the plurality of User, really
Wrong answer data are made, and determines that the student of the wrong answer data of having answered uses from the plurality of User
Family as target User, to form target User group；
Query unit, for inquiring about knowledge point and the exercise type with the target exercise from the Exercise Library while matching
Remaining exercise in addition to the target exercise as exercise to be recommended, to form workbook to be recommended；
First recommendation unit, at least one exercise to be recommended is chosen from the workbook to be recommended, and to the target
At least one exercise to be recommended described in the target User recommendation that User group includes.
8. fallibility exam pool according to claim 7 builds management equipment, it is characterised in that also include：
Second acquisition unit, for the target student included to the target User group in first recommendation unit
After at least one exercise to be recommended described in user's recommendation, each the described target in the target User group is obtained
The user property of raw user, the user property include the corresponding class's mark of the target User；
First grouped element, for the corresponding class of each in target User group target User
Foundation is designated, the target User in the target User group is grouped according to class, obtained some
Individual target User group；Wherein, the corresponding class of the target User in same target User group
Mark is identical；
Second determining unit, for for each described target User group, with the institute in the target User group
State the corresponding class of target User and be designated foundation, determine from corresponding relation of the default class mark with teaching teacher
Go out the corresponding objective teaching teacher of the target User group；Wherein, the target exercise belongs to the objective teaching teacher
The Exercise of responsible course of instruction；
First recommendation unit, is additionally operable to recommend institute to the corresponding objective teaching teacher of target User group each described
State target exercise.
9. fallibility exam pool according to claim 6 builds management equipment, it is characterised in that also include：
3rd determining unit, for changing the label of the target exercise in the processing unit in Exercise Library, so that modification
After the label of the target exercise afterwards is used to define the target exercise for fallibility topic, from the plurality of User to institute
State in the answer data answered by target exercise, determine wrong answer data, and it is true from the plurality of User
The User of the wrong answer data of having answered is made as target User, to form target User group；
3rd acquiring unit, the user for obtaining each the target User in the target User group belong to
Property, the user property includes the corresponding class's mark of the target User；
Second packet unit, for the corresponding class of each in target User group target User
Foundation is designated, the target User in the target User group is grouped according to class, obtained some
Individual target User group；Wherein, the corresponding class of the target User in same target User group
Mark is identical；
4th determining unit, for for each described target User group, with the institute in the target User group
State the corresponding class of target User and be designated foundation, determine from corresponding relation of the default class mark with teaching teacher
Go out the corresponding objective teaching teacher of the target User group；Wherein, the target exercise belongs to the objective teaching teacher
The Exercise of responsible course of instruction；
Second recommendation unit, for recommending the target to the corresponding objective teaching teacher of target User group each described
Exercise.
10. the fallibility exam pool according to any one of claim 6～9 builds management equipment, it is characterised in that the statistics list
The answer data answered to the target exercise with the plurality of User by unit counts the target exercise as foundation
The mode of wrong topic rate is specially：
In the answer data answered from the plurality of User to the target exercise by the statistic unit, statistics error
The quantity of the wrong answer data of the quantity of answer data, and statistics by mistake accounts for the ratio of the total quantity of the answer data
Value, as the wrong topic rate of the target exercise.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611051877.9A CN106547909A (en) | 2016-11-23 | 2016-11-23 | A kind of fallibility exam pool based on big data builds management method and equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611051877.9A CN106547909A (en) | 2016-11-23 | 2016-11-23 | A kind of fallibility exam pool based on big data builds management method and equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106547909A true CN106547909A (en) | 2017-03-29 |
Family
ID=58395781
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611051877.9A Pending CN106547909A (en) | 2016-11-23 | 2016-11-23 | A kind of fallibility exam pool based on big data builds management method and equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106547909A (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107274738A (en) * | 2017-06-23 | 2017-10-20 | 广东外语外贸大学 | Chinese-English translation teaching points-scoring system based on mobile Internet |
| CN107633721A (en) * | 2017-08-25 | 2018-01-26 | 刘宸瑜 | A kind of error analysis method, apparatus and system for language learning |
| CN108446401A (en) * | 2018-03-29 | 2018-08-24 | 上海乂学教育科技有限公司 | Problem database system |
| CN109255019A (en) * | 2018-09-07 | 2019-01-22 | 广州爱易学智能信息科技有限公司 | A kind of online exam pool and its application method based on artificial intelligence |
| CN109635259A (en) * | 2018-11-05 | 2019-04-16 | 广东共升教育科技有限公司 | A kind of electronic test paper generation method, device, equipment and storage medium |
| CN110211007A (en) * | 2019-04-30 | 2019-09-06 | 宜春宜联科技有限公司 | Job analysis method, system, mobile terminal and storage medium |
| CN110349061A (en) * | 2019-07-15 | 2019-10-18 | 联想(北京)有限公司 | Processing method, processing unit and electronic equipment |
| CN110414837A (en) * | 2019-07-29 | 2019-11-05 | 上海乂学教育科技有限公司 | Based on mistake because of the man-machine interactive system of analysis |
| CN110599840A (en) * | 2019-08-06 | 2019-12-20 | 安徽学云教育科技有限公司 | Personalized self-adaptive online learning method based on big data |
| CN111753153A (en) * | 2019-11-25 | 2020-10-09 | 广东小天才科技有限公司 | Error problem information collection method, electronic device, storage medium, and program product |
| CN112506855A (en) * | 2020-12-24 | 2021-03-16 | 贵州树精英教育科技有限责任公司 | Question bank construction method based on cognitive hierarchy |
| CN113688301A (en) * | 2021-08-24 | 2021-11-23 | 杨成兴 | Online accurate teaching tutoring method and system based on artificial intelligence and big data |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101477755A (en) * | 2009-01-06 | 2009-07-08 | 陈诗周 | Error problem database system for student |
| KR20110078073A (en) * | 2009-12-30 | 2011-07-07 | 동국대학교 산학협력단 | Method and apparatus for test question selection and achievement assessment |
| CN103971553A (en) * | 2014-05-29 | 2014-08-06 | 深圳图瑞交互信息技术有限公司 | Feedback teaching system and feedback teaching method |
| CN105931513A (en) * | 2016-06-21 | 2016-09-07 | 广州伟度计算机科技有限公司 | Class test realizing system applied to teaching process and realizing method thereof |
-
2016
- 2016-11-23 CN CN201611051877.9A patent/CN106547909A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101477755A (en) * | 2009-01-06 | 2009-07-08 | 陈诗周 | Error problem database system for student |
| KR20110078073A (en) * | 2009-12-30 | 2011-07-07 | 동국대학교 산학협력단 | Method and apparatus for test question selection and achievement assessment |
| CN103971553A (en) * | 2014-05-29 | 2014-08-06 | 深圳图瑞交互信息技术有限公司 | Feedback teaching system and feedback teaching method |
| CN105931513A (en) * | 2016-06-21 | 2016-09-07 | 广州伟度计算机科技有限公司 | Class test realizing system applied to teaching process and realizing method thereof |
Non-Patent Citations (1)
| Title |
|---|
| 赵翠娟: ""教育家成长丛书 赵翠娟与学习型学校"", 《教育家成长丛书》 * |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107274738A (en) * | 2017-06-23 | 2017-10-20 | 广东外语外贸大学 | Chinese-English translation teaching points-scoring system based on mobile Internet |
| CN107633721A (en) * | 2017-08-25 | 2018-01-26 | 刘宸瑜 | A kind of error analysis method, apparatus and system for language learning |
| CN108446401B (en) * | 2018-03-29 | 2021-06-01 | 上海松鼠课堂人工智能科技有限公司 | Question bank system |
| CN108446401A (en) * | 2018-03-29 | 2018-08-24 | 上海乂学教育科技有限公司 | Problem database system |
| CN109255019A (en) * | 2018-09-07 | 2019-01-22 | 广州爱易学智能信息科技有限公司 | A kind of online exam pool and its application method based on artificial intelligence |
| CN109255019B (en) * | 2018-09-07 | 2021-06-08 | 广州爱易学智能信息科技有限公司 | On-line question bank query and application method thereof |
| CN109635259A (en) * | 2018-11-05 | 2019-04-16 | 广东共升教育科技有限公司 | A kind of electronic test paper generation method, device, equipment and storage medium |
| CN110211007A (en) * | 2019-04-30 | 2019-09-06 | 宜春宜联科技有限公司 | Job analysis method, system, mobile terminal and storage medium |
| CN110349061A (en) * | 2019-07-15 | 2019-10-18 | 联想(北京)有限公司 | Processing method, processing unit and electronic equipment |
| CN110414837A (en) * | 2019-07-29 | 2019-11-05 | 上海乂学教育科技有限公司 | Based on mistake because of the man-machine interactive system of analysis |
| CN110599840A (en) * | 2019-08-06 | 2019-12-20 | 安徽学云教育科技有限公司 | Personalized self-adaptive online learning method based on big data |
| CN111753153A (en) * | 2019-11-25 | 2020-10-09 | 广东小天才科技有限公司 | Error problem information collection method, electronic device, storage medium, and program product |
| CN112506855A (en) * | 2020-12-24 | 2021-03-16 | 贵州树精英教育科技有限责任公司 | Question bank construction method based on cognitive hierarchy |
| CN113688301A (en) * | 2021-08-24 | 2021-11-23 | 杨成兴 | Online accurate teaching tutoring method and system based on artificial intelligence and big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106547909A (en) | A kind of fallibility exam pool based on big data builds management method and equipment | |
| CN106781785A (en) | A kind of item difficulty construction method and device, service equipment based on big data | |
| CN109615568A (en) | Intelligent Course-selecting System | |
| CN105761564A (en) | Intelligent teaching system for ideological and political education | |
| CN106409034A (en) | Intelligent homework assignment method and device | |
| CN109254979A (en) | A kind of personal credit evaluation method and system | |
| CN107808356A (en) | Comprehensive quality evaluation system and method for evaluating comprehensive quality of students | |
| CN108805422A (en) | A kind of data assessment model training systems, data assessment platform and method | |
| CN106846201B (en) | Learning hour management method based on network education | |
| CN109785691A (en) | A kind of method and system by terminal assisted learning | |
| CN106844384A (en) | Examination question indexing method and device | |
| CN110211008A (en) | A kind of modern education interactive teaching and learning feedback system and method | |
| CN109871770A (en) | Property ownership certificate recognition methods, device, equipment and storage medium | |
| Imran et al. | A comparative analysis of strategies for e-government in developing countries | |
| Nur et al. | Student network analysis: a novel way to predict delayed graduation in higher education | |
| CN103077167A (en) | Intelligent data analysis system | |
| CN110415578A (en) | A kind of wrong topic management system | |
| CN109063996A (en) | The information processing method and device of multi-user collaborative editor | |
| CN112733059A (en) | Intelligent reading tracking evaluation method, system, terminal and storage medium | |
| CN109636529A (en) | A kind of Method of Commodity Recommendation, device and computer readable storage medium | |
| CN106503082B (en) | A kind of auto recommending method and device, smart machine of garment coordination | |
| CN114881827B (en) | Remote online education training method and system based on Internet and storage medium | |
| Engel | Survey measurements: techniques, data quality and sources of error | |
| CN107493579A (en) | A kind of colleges and universities' wireless network builds preplanning method and apparatus | |
| CN102651097A (en) | Electronic evaluating system and electronic evaluating method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170329 |