CN110147428A - Update method, device, equipment and the storage medium of knowledge point master degree - Google Patents
Update method, device, equipment and the storage medium of knowledge point master degree Download PDFInfo
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- CN110147428A CN110147428A CN201910289817.8A CN201910289817A CN110147428A CN 110147428 A CN110147428 A CN 110147428A CN 201910289817 A CN201910289817 A CN 201910289817A CN 110147428 A CN110147428 A CN 110147428A
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Abstract
The embodiment of the invention discloses update method, device, equipment and the storage mediums of a kind of knowledge point master degree.The described method includes: if including the object knowledge point in target detection content in the knowledge point master degree list being pre-created, it is determined that history master degree of the user to the object knowledge point;It determines the corresponding default difficulty level of the history master degree, and determines the current difficulty level of the object knowledge point;According to the current difficulty level and corresponding default difficulty level of the object knowledge point, the history master degree of the object knowledge point is updated.Using the technical solution of the embodiment of the present invention, solves the problems, such as the practical grasp situation that can not know user to each knowledge point, it can be according to user to the practical answer situation comprising correlated knowledge point examination question, user timely update to the grasp situation of knowledge point and records, can push the examination question that be consistent with master degree of the user to knowledge point so as to subsequent to user and practice.
Description
Technical field
The present embodiments relate to computer application technology more particularly to a kind of update sides of knowledge point master degree
Method, device, equipment and storage medium.
Background technique
Currently, with the continuous development of Internet technology, all kinds of study auxiliary products are more and more, and user can be by
All kinds of study auxiliary products are learnt.For example, during the practice of actual examination question, it can be according to user to knowing in examination question
The grasp situation for knowing point, to the examination question of the auxiliary product push correlated knowledge point of all kinds of study belonging to user, user can be each
Class study auxiliary product carries out consolidation study to correlated knowledge point.
However, since user learns the continuous consolidation of knowledge point each in examination question, so that user is to each knowledge point
It grasps situation also to change, to cause recommended to the user to include the palm of correlated knowledge point examination question and user to knowledge point
Degree of holding is not consistent, from increasing unnecessary examination question practice periods, and since user can not be known to the reality of each knowledge point
Situation is grasped on border, and then meets the examination question that user currently grasps situation without normal direction user recommendation, seriously affects the study effect of user
Fruit.
Summary of the invention
In view of the above problems, a kind of update method of knowledge point master degree is provided in the embodiment of the present invention, device, is set
Standby and storage medium, to realize, each knowledge point grasp situation is updated in one or more examination questions.
In a first aspect, providing a kind of update method of knowledge point master degree in the embodiment of the present invention, comprising:
If including the object knowledge point in target detection content in the knowledge point master degree list being pre-created, it is determined that
The current difficulty level of the object knowledge point;
Determine that user is corresponding pre- to the history master degree of the object knowledge point, and the determining history master degree
If difficulty level;
According to the current difficulty level and corresponding default difficulty level of the object knowledge point, to the object knowledge
The history master degree of point is updated.
Second aspect additionally provides a kind of updating device of knowledge point master degree in the embodiment of the present invention, comprising:
History master degree determining module, if comprising in target detection in knowledge point master degree list for being pre-created
Object knowledge point in appearance, it is determined that the current difficulty level of the object knowledge point;
Difficulty level determining module, for determining user to the history master degree of the object knowledge point, and determining institute
State the corresponding default difficulty level of history master degree;
History master degree update module, for current difficulty level according to the object knowledge point and corresponding default
Difficulty level is updated the history master degree of the object knowledge point.
The third aspect additionally provides a kind of equipment in the embodiment of the present invention, comprising:
One or more processors;
Storage device, for storing one or more programs;
When one or more of programs are executed by one or more of processors, so that one or more of places
Reason device realize provided in the embodiment of the present invention it is any as described in knowledge point master degree update method.
Fourth aspect additionally provides a kind of computer readable storage medium in the embodiment of the present invention, is stored thereon with calculating
Machine program, when which is executed by processor realize provided in the embodiment of the present invention it is any as described in knowledge point master degree
Update method.
A kind of update scheme of knowledge point master degree is provided in the embodiment of the present invention, if the knowledge point palm being pre-created
Include the object knowledge point in target detection content in degree of holding list, it is determined that user slaps the history of the object knowledge point
Degree of holding;It determines the corresponding default difficulty level of the history master degree, and determines the current difficulty grade of the object knowledge point
Not;According to the current difficulty level and corresponding default difficulty level of the object knowledge point, the object knowledge point is gone through
History master degree is updated.Using the technical solution of the embodiment of the present invention, solving can not know user to each knowledge point
It is practical to grasp situation and recommend to meet the problem of user currently grasps the examination question of situation without normal direction user, it can be according to user couple
Practical answer situation comprising correlated knowledge point examination question, the user that timely updates is to the grasp situation of knowledge point and records, with
The examination question being consistent with master degree of the user to knowledge point can be pushed to user by, which continuing after an action of the bowels, practices, and avoids pushing to user
Difficult or excessively easy examination question is crossed, to cause invalid practice of the user to knowledge point.
Foregoing invention content is only the general introduction of technical solution of the present invention, in order to better understand technology of the invention
Means, and being implemented in accordance with the contents of the specification, and in order to allow above and other objects of the present invention, feature and excellent
Point can be more clearly understood, and the followings are specific embodiments of the present invention.
Detailed description of the invention
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, its of the invention
Its feature, objects and advantages will become more apparent upon.The drawings are only for the purpose of illustrating a preferred embodiment, and is not regarded as
It is limitation of the present invention.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings:
Fig. 1 is a kind of flow chart of the update method of the knowledge point master degree provided in the embodiment of the present invention;
Fig. 2 is the flow chart of the update method of another knowledge point master degree provided in the embodiment of the present invention;
Fig. 3 is the flow chart of the update method of another the knowledge point master degree provided in the embodiment of the present invention;
Fig. 4 is a kind of determination method of user for providing in the embodiment of the present invention to the prediction master degree of object knowledge point
Flow chart;
Fig. 5 is a kind of structural block diagram of the updating device of the knowledge point master degree provided in the embodiment of the present invention;
Fig. 6 is a kind of structural block diagram of the equipment provided in the embodiment of the present invention.
Specific embodiment
The exemplary embodiment that the present invention will be described in more detail below with reference to accompanying drawings, although showing this hair in attached drawing
Bright exemplary embodiment, however it will be appreciated that be, exemplary embodiment described herein for explaining only the invention, and
Non- limitation of the invention.It is to be able to thoroughly understand the present invention on the contrary, the present invention provides these embodiments, and
The scope of the present invention can be fully disclosed to those skilled in the art.In addition, it should also be noted that, for the ease of
It describes, only the parts related to the present invention are shown rather than entire infrastructure in attached drawing.
Before exemplary embodiment is discussed in greater detail, it should be mentioned that some exemplary embodiments are retouched
State into the processing or method described as flow chart.Although operations (or step) are described as the place of sequence by flow chart
Reason, still, many of these operations can be implemented concurrently, concomitantly or simultaneously.In addition, the sequence of operations can
To be rearranged.The processing can be terminated when its operations are completed, be not included in attached drawing it is also possible to have
Additional step.The processing can correspond to method, function, regulation, subroutine, subprogram etc..
Under the education pressure of current competitive fierceness, it is desirable to the situations of answering from user's practice or test
It is middle to obtain more relevant users to the information of the Grasping level of knowledge point, to make more objective appraisal and side to user
It helps.
In general, can be estimated to obtain the knowledge point that a comparison is consistent by the knowledge point master degree to user
Master degree, but since master degree of the user to knowledge point can change, and may when carrying out the estimation of knowledge point master degree
There are certain contingency, for this reason, it may be necessary to carry out real-time update item to knowledge point master degree according to the practical answer situation of user
Part.
It is situated between below for the update method of the knowledge point master degree provided in the embodiment of the present invention, device, equipment and storage
Matter is described in detail.
Fig. 1 is a kind of flow chart of the update method of the knowledge point master degree provided in the embodiment of the present invention, the present embodiment
It is applicable to update the case where user is to knowledge point master degree in real time.This method can be by the more new clothes of knowledge point master degree
It sets to execute, which can be realized by the way of software and/or hardware, and be integrated in office how with network communicating function
Equipment on.As shown in Figure 1, the update method of the knowledge point master degree provided in the embodiment of the present invention may include following step
Rapid S101~S103:
If in S101, the knowledge point master degree list being pre-created including the object knowledge point in target detection content,
Determine the current difficulty level of object knowledge point.
In the present embodiment, it can store each knowledge of user's grasp in the knowledge point master degree list being pre-created
Point and user are to the master degree of each knowledge point and each knowledge point and user to the mapping between the master degree of knowledge point
Relationship.Target detection content can be test content used when carrying out the test of knowledge point master degree for user.Its
In, it may include: in the multiple tracks examination question for use when the test of knowledge point master degree to user in the test content.Target is known
Knowing point can be the specified knowledge point of one or more included in target detection content.For example, when it needs to be determined that user couple
It, can be using these specified knowledge points as object knowledge point when specifying the master degree of knowledge point in target detection content.It is optional
, since each user knowledge point to be learnt has a certain difference, each user is managed for convenience to respective knowledge
The master degree of point can create corresponding knowledge point master degree list for each user.
In the present embodiment, it is contemplated that the knowledge point stored in the knowledge point master degree list being pre-created is that user goes through
Grasp and have determined that the knowledge point of master degree, not all knowledge point can all be stored in the knowledge point being pre-created in history
In master degree list.For this purpose, needing to detect the knowledge point being pre-created when determining master degree of the user to object knowledge point
It whether include object knowledge point in master degree list.If in the knowledge point master degree list being pre-created including object knowledge point,
Then need to carry out subsequent update operation according to the scheme of the present embodiment;If in the knowledge point master degree list being pre-created not
Comprising object knowledge point, then user can be obtained using the determination method of knowledge point master degree, the prediction of object knowledge point is slapped
Degree of holding.Wherein, user is only an initial estimated value to the prediction master degree of object knowledge point.
In the present embodiment, when knowledge point is only used as some theorem to occur, i.e., when only investigating knowledge point itself,
Such as the formula of " Pythagorean theorem " is only investigated, the difficulty of knowledge point is fixed at this time.But if when investigating knowledge point
Be not it is simple investigate knowledge point itself, but knowledge point is dissolved into test content and is investigated, such as by knowledge point
It is dissolved into the examination question that test content is included and is investigated, it is knowledge point that the difficulty of knowledge point, which cannot be simply considered that, at this time
The difficulty of itself, but the difficulty after test content is dissolved into knowledge point.It can be seen that when investigating target by test content
When knowledge point, the difficulty level of object knowledge point is not to immobilize always.For this purpose, detecting the knowledge being pre-created
Object knowledge point can be first determined in the case of the object knowledge point in included target detection content in point master degree list
Current difficulty level.Wherein, current difficulty level can be understood as after object knowledge point is dissolved into target detection content
Grade of difficulty.
S102, determine user to the history master degree of object knowledge point, and the corresponding default difficulty of determining history master degree
Spend rank.
In the present embodiment, each knowledge point and user couple be can store in the knowledge point master degree list being pre-created
Mapping relations between the master degree of knowledge point.For this purpose, can be according to the knowledge stored in the knowledge point master degree list of user
Point and user obtain user to the history master degree of object knowledge point to the mapping relations between the history master degree of knowledge point.
Wherein, user can be understood as the use of the historical record in the master degree list of knowledge point to the history master degree of object knowledge point
Family is to the master degree of object knowledge point, and non-user is to the newest master degree of object knowledge point.
In the present embodiment, whether user can complete the knowledge point of a certain difficulty level, with user to the palm of knowledge point
Degree of holding is related.In other words, if user wants to complete the knowledge point of a certain difficulty level, it is necessary to guarantee user to knowledge point
Master degree and the difficulty level of knowledge point match.Based on the above situation, different difficulty levels can be completed according to user
Object knowledge point when required user to the master degree of object knowledge point, pre-establish user to the palm of object knowledge point
Mapping relations between degree of holding default difficulty level corresponding with master degree, and above-mentioned mapping relations are subjected to storage record.Separately
It outside, as previously described can to establish user corresponding with master degree to the master degree of knowledge point for each knowledge point
Default difficulty level between mapping relations, and the mapping relations of foundation are stored in advance in corresponding database.
It in the present embodiment, can be according to above-mentioned pre-stored mapping relations and user to the history of object knowledge point
Master degree, to determine the corresponding default difficulty level of history master degree.Wherein, the corresponding default difficulty level of master degree can be with
Understand according to active user to the master degree of object knowledge point, the difficulty level for the object knowledge point that user can normally complete.
Illustratively, master degree of the user to object knowledge point is divided are as follows: understand, basic grasp, generally grasp, is ripe
Practice and grasp, grasp completely, the difficulty level of object knowledge point is divided are as follows: be easy, be easier to, generally, it is more difficult, difficult, and will use
Mapping relations are established to the master degree " understanding " of object knowledge point and the difficulty level " easy " of object knowledge point in family, by user
The difficulty level " being easier to " of master degree " basic to grasp " and object knowledge point to object knowledge point establishes mapping relations, will use
Mapping relations are established to the master degree " general to grasp " of object knowledge point and the difficulty level " general " of object knowledge point in family, will
User establishes mapping relations to the master degree " skilled to grasp " of object knowledge point and the difficulty level " more difficult " of object knowledge point,
User is established mapping to the master degree " grasping completely " of object knowledge point and the difficulty level " difficulty " of object knowledge point to close
System.If user is " grasping completely " to the master degree of object knowledge point, user can normally complete all difficulty levels
Object knowledge point;If user is " understanding " to the master degree of object knowledge point, user can only normally complete " easy "
The object knowledge point of difficulty level.
S103, current difficulty level and the corresponding default difficulty level of history master degree according to object knowledge point, to this
User is updated the history master degree of object knowledge point.
In the present embodiment, the continuous practice with user to object knowledge point, user can not to the master degree of knowledge point
It is disconnected to increase, and constantly the falling into disuse to object knowledge point with user, the master degree of object knowledge point also can constantly drop in user
It is low.Therefore, user can not embody grasp of the user under current state to knowledge point to the history master degree of object knowledge point
Degree.Using aforesaid way, " difficulty grade can be converted from " master degree " by history master degree of the user to object knowledge point
Not ", use can be adjusted to the actual performance of the object knowledge point of current difficulty level according to user in real time so as to subsequent
Master degree of the family to object knowledge point.
A kind of update scheme of knowledge point master degree is provided in the embodiment of the present invention, using the skill of the embodiment of the present invention
Art scheme, user can not be known to the practical grasp situation of each knowledge point and recommend to meet user without normal direction user by solving
It the problem of current examination question for grasping situation, can be according to user to the practical answer situation comprising correlated knowledge point examination question, in time
User is updated to the grasp situation of knowledge point and is recorded, and can be pushed to user and user is to knowledge point so as to subsequent
The examination question that master degree is consistent is practiced, and avoids pushing difficult or excessively easy examination question to user, to cause user to knowledge point
Invalid practice.
Fig. 2 is the flow chart of the update method of another knowledge point master degree provided in the embodiment of the present invention, the present invention
Embodiment is advanced optimized on the basis of the above embodiments, and the embodiment of the present invention can be with said one or multiple
Each optinal plan in embodiment combines.As shown in Fig. 2, the update of the knowledge point master degree provided in the embodiment of the present invention
Method may comprise steps of S201~S204:
If in S201, the knowledge point master degree list being pre-created including the object knowledge point in target detection content,
According to incidence relation between object knowledge point and target detection content, the corresponding destination-related information of object knowledge point is obtained.
In the present embodiment, object knowledge point and the incidence relation of target detection content can be understood as in target detection
Hold the investigation situation to object knowledge point.Target detection content is bigger to the investigation dynamics of object knowledge point, object knowledge point with
The incidence relation of target detection content is bigger, shows that object knowledge point is more important in target detection content;In target detection
Appearance is smaller to the investigation dynamics of object knowledge point, and object knowledge point and the incidence relation of target detection content are just smaller, show mesh
It is more inessential in target detection content to mark knowledge point.
In a kind of optional way of the present embodiment, according to incidence relation between object knowledge point and target detection content,
The corresponding destination-related information of object knowledge point is obtained, may include:
According to the incidence relation between object knowledge point and each examination question of target detection content, object knowledge point is determined
Corresponding destination-related information;Destination-related information characterizes investigation of each examination question to object knowledge point in target detection content
Situation.
In the present embodiment, it may include multiple tracks examination question in target detection content, and each examination question is to object knowledge
There may be certain othernesses for the investigation situation of point, for example, some examination questions can investigate emphatically object knowledge point, and some are tried
Topic will not then investigate object knowledge point.For this purpose, can be deposited according between each examination question in object knowledge point and target detection content
Incidence relation, to determine the corresponding destination-related information of object knowledge point.It is each in object knowledge point and target detection content
Existing incidence relation can refer to each examination question to the investigation situation of object knowledge point between a examination question.Examination question knows target
The investigation situation for knowing point can be understood as whether user is needed when correctly answering examination question using to object knowledge point.
In the present embodiment, by taking object knowledge point is knowledge point k as an example, each examination question is to mesh in target detection content
The investigation situation for marking knowledge point can be qjk, wherein qjkIt can indicate whether user needs when correctly answering jth road examination question
Knowledge point k.Work as qjkIndicate that user needs knowledge point k when correctly answering jth road examination question, works as q when=1jkUser is indicated when=0
Knowledge point k is not needed when correctly answering jth road examination question.So as to obtain wrapping in object knowledge point and target detection content
The incidence relation between each examination question contained, and then obtain the corresponding destination-related information of object knowledge point.
S202, the difficulty level according to destination-related information and target detection content, determine the current difficulty of object knowledge point
Spend rank.
In the present embodiment, destination-related information can reflect is associated between object knowledge point and target detection content
System.It is investigated in view of object knowledge point by incorporating target detection content, the difficulty of object knowledge point cannot be simple at this time
The difficulty for being considered knowledge point itself, but object knowledge point is dissolved into the difficulty after test content.Object knowledge point
There are relevances with target detection content for actual difficulty.Incidence relation is bigger between object knowledge point and target detection content, mesh
Mark knowledge point difficulty level and target detection content difficulty level between difference it is smaller, especially object knowledge point with
The difficulty level of object knowledge point can be equal to target detection content when incidence relation is as big as possible between target detection content
Difficulty level;Incidence relation is smaller between object knowledge point and target detection content, the difficulty level and mesh of object knowledge point
The difference marked between the difficulty level of test content is bigger.
In a kind of optional way of the present embodiment, the difficulty level of foundation destination-related information and target detection content,
The current difficulty level for determining object knowledge point, may include following S2021~S2022:
The difficulty level of each examination question, determination are passing through in S2021, foundation destination-related information and target detection content
Object knowledge point corresponding multiple difficulty grades when each examination question respectively investigates object knowledge point in target detection content
Not;Investigation situation of each examination question to object knowledge point in destination-related information characterization target detection content;
S2022, from the corresponding multiple difficulty levels of object knowledge point, selection meets the difficulty level of preset condition, makees
For the current difficulty level of object knowledge point.
In the present embodiment, it may include multiple tracks examination question in target detection content, every one of examination question can be set
Corresponding difficulty level.The difficulty level between each examination question in target detection content can be identical, can not also phase
Together.Destination-related information may include the incidence relation of each examination question in object knowledge point and target detection content.Wherein, mesh
The incidence relation for marking each examination question in knowledge point and target detection content can be using each examination question of target detection content to mesh
The investigation situation of mark knowledge point is indicated.In view of may include multiple tracks examination question in target detection content and per pass examination question is all provided with
It is equipped with corresponding difficulty level, according to the incidence relation of every one of examination question and object knowledge point, can be determined by every
Object knowledge point corresponding difficulty level when one of examination question investigates object knowledge point, so it is available by each
Object knowledge point corresponds to multiple difficulty levels when a examination question is investigated.
In the present embodiment, if the examination question in target detection content investigates object knowledge point, show that user is correctly returning
It needs to use object knowledge point when answering the examination question, it is determined that there are incidence relations between object knowledge point and the examination question, at this time
Object knowledge point corresponding difficulty level when being investigated by the examination question can be determined according to the difficulty level of the examination question, than
Such as can directly using the difficulty level of the examination question as object knowledge point by the examination question investigate when difficulty level.If target
Examination question in test content does not investigate object knowledge point, shows that user does not need to know using target when correctly answering the examination question
Know point, it is determined that incidence relation is not present between object knowledge point and the examination question, can directly give up object knowledge point at this time and exist
Corresponding difficulty level or corresponding difficulty level is straight when being investigated by the examination question by object knowledge point when being investigated by the examination question
It connects and is set as 0.
In the present embodiment, multiple difficulty grades of the object knowledge point when being investigated for each examination question are being determined
After not, determining multiple difficulty level sizes can be ranked up, therefrom choose maximum difficulty level as object knowledge
The current difficulty level of point.For example, multiple difficulty levels can be ranked up according to the descending sequence of difficulty level,
And the preceding difficulty level that will sort is as the current difficulty level of object knowledge point.
S203, determine user to the history master degree of object knowledge point, and the corresponding default difficulty of determining history master degree
Spend rank.
S204, current difficulty level and corresponding default difficulty level according to object knowledge point, to the user to target
The history master degree of knowledge point is updated.
A kind of update scheme of knowledge point master degree is provided in the embodiment of the present invention, using the skill of the embodiment of the present invention
Art scheme, user can not be known to the practical grasp situation of each knowledge point and recommend to meet user without normal direction user by solving
It the problem of current examination question for grasping situation, can be according to the pass of correlated knowledge point and target detection content in target detection content
The difficulty level of connection relationship and target detection content determines the difficulty level of correlated knowledge point in target detection content, from
And can be according to user to the practical answer situation comprising correlated knowledge point examination question, the user that timely updates is to correlated knowledge point
Grasp situation.
Fig. 3 is the flow chart of the update method of another the knowledge point master degree provided in the embodiment of the present invention, the present invention
Embodiment is advanced optimized on the basis of the above embodiments, and the embodiment of the present invention can be with said one or multiple
Each optinal plan in embodiment combines.As shown in figure 3, the update of the knowledge point master degree provided in the embodiment of the present invention
Method may comprise steps of S301~S304:
If in S301, the knowledge point master degree list being pre-created including the object knowledge point in target detection content,
Determine the current difficulty level of object knowledge point.
S302, determine user to the history master degree of object knowledge point, and the corresponding default difficulty of determining history master degree
Spend rank.
If S303, detecting that the current difficulty level of object knowledge point is corresponding more than or equal to history master degree default
Difficulty level, it is determined that user grasps the prediction of object knowledge point to the prediction master degree of object knowledge point, and according to user
History master degree of the degree adjustment user to object knowledge point.
In the present embodiment, according to user to the history master degree of object knowledge point, user can generally be correctly completed and go through
The object knowledge point of the corresponding default difficulty level of history master degree.If the current difficulty level of object knowledge point is greater than history
The corresponding default difficulty level of master degree shows the current difficulty level for the object knowledge point that user completes than default hardly possible
The object knowledge point of degree rank wants difficult, and user has carried out the practice of more depth for object knowledge point at this time;If target is known
The current difficulty level for knowing point is equal to the corresponding default difficulty level of history master degree, and the target for showing that user completes is known
Know point current difficulty level and default difficulty level object knowledge point difficulty having the same, at this time user just for
Object knowledge point has carried out consolidating practice, but the knowledge point more difficult without more deep practice.As it can be seen that above two
In the case of user to the master degree of object knowledge point can with user to object knowledge point it is continuous practice and improve, but tool
Body user to the master degree of object knowledge point can improve how much, need the reality according to user to the examination question comprising object knowledge point
Border answer situation is determined.
In the present embodiment, it is greater than or equal to history master degree pair in the current difficulty level for detecting object knowledge point
In the case where the default difficulty level answered, if detecting, examination question answer belonging to the object knowledge point of current difficulty level is correct,
Show that user has been correctly completed the object knowledge of the current difficulty level also more difficult than the object knowledge point of default difficulty level
Point, corresponding user may have occurred that larger raising to the practical grasp situation of object knowledge point.At this point it is possible to determine
User grasps to the prediction master degree of object knowledge point, and according to prediction master degree adjustment history of the user to object knowledge point
Degree specifically can be directly used user and slap to the prediction master degree replacement user of object knowledge point to the history of object knowledge point
Degree of holding, to realize that the update to history master degree operates.
In the present embodiment, it is greater than or equal to history master degree pair in the current difficulty level for detecting object knowledge point
In the case where the default difficulty level answered, if detecting examination question answer mistake belonging to the object knowledge point of current difficulty level,
Show that user has not been correctly completed the target of the current difficulty level also more difficult than the object knowledge point of default difficulty level and has known
Know point, corresponding user may only change a little the practical grasp situation of object knowledge point, can be ignored.This
When, user can be determined to the prediction master degree of object knowledge point, and according to user to the prediction master degree tune of object knowledge point
Whole history master degree, can also directly using user to the history master degree of object knowledge point as newest master degree.
If S304, detecting that the current difficulty level of object knowledge point is less than the corresponding default difficulty grade of history master degree
Not, then according to current difficulty level adjustment user to the history master degree of object knowledge point.
In the present embodiment, if the current difficulty level of object knowledge point is less than the corresponding default difficulty of history master degree
Rank is spent, shows object knowledge point of the current difficulty level than default difficulty level for the object knowledge point that user completes
Simple, user can neither realize that the intensification to object knowledge point is practiced by the connection to object knowledge point at this time, and cannot
It realizes the consolidation to object knowledge point, user may not be influenced thus to the master degree of object knowledge point.As it can be seen that due to
Family does not carry out deepening practice and consolidate to practice to object knowledge point, and user may be with to the master degree of known knowledge point
The passage of time decreases, but particular user to the master degree of object knowledge point can decline how much, need according to user couple
The practical answer situation of examination question comprising object knowledge point is determined.
In the present embodiment, corresponding pre- less than history master degree in the current difficulty level for detecting object knowledge point
If in the case of difficulty level, if detecting examination question answer mistake belonging to the object knowledge point of current difficulty level, showing to use
Family has not been correctly completed the object knowledge of current difficulty level also simpler than the object knowledge point of default difficulty level
Point, correspondingly, user may decline the actual master degree of object knowledge point.At this point it is possible to according to object knowledge
The current difficulty level of point, and user is turned down to the history master degree of object knowledge point, to realize according to preset adjustment dynamics
The user operates the update of the history master degree of object knowledge point.Wherein, the current difficulty level of object knowledge point is got over
Greatly, adjustment dynamics is bigger;The current difficulty level of object knowledge point is smaller, and adjustment dynamics is smaller.
In the present embodiment, optionally, user can be turned down to the history of object knowledge point according to preset adjustment dynamics
Master degree, wherein the calculation formula of adjustment dynamics can be with are as follows: r=(1-dsk)/N indicates that N can be oneself in 5~20 ranges
So number, such as can be 5,6,7,8 ..., dskFor the current difficulty level of object knowledge point, difficulty level can be by setting
It is set to specific difficulty level parameter to be indicated, r is adjustment dynamics.
In the present embodiment, corresponding pre- less than history master degree in the current difficulty level for detecting object knowledge point
If in the case of difficulty level, if detecting, examination question answer belonging to the object knowledge point of current difficulty level is correct, show to use
Family has been correctly completed the object knowledge point of current difficulty level also simpler than the object knowledge point of default difficulty level, still
Since the difficulty of the object knowledge point of completion is lower, user can't be excessively influenced to the practical grasp situation of object knowledge point,
It can be ignored.At this point it is possible to not update user to the history master degree of object knowledge point.
Fig. 4 is a kind of determination method of user for providing in the embodiment of the present invention to the prediction master degree of object knowledge point
Flow chart, the embodiment of the present invention optimizes on the basis of the above embodiments, and the embodiment of the present invention can be with said one
Or each optinal plan combines in multiple embodiments.As shown in figure 4, the user provided in the embodiment of the present invention knows target
The determination method for knowing the prediction master degree of point may include S401~S404:
S401, actual measurement appraisal result of the user to the target detection content for including object knowledge point is obtained.
In the present embodiment, the investigation to multiple knowledge points may be implemented in target detection content, includes object knowledge point
Target detection content not only can be to the investigation of object knowledge point, can also be to other knowledge points in target detection content
It is investigated.It may include multiple tracks examination question in target detection content, the investigation to knowledge point realized by multiple tracks examination question.Wherein,
Test question information may include: the script information of per pass examination question, the affiliated discipline information of per pass examination question and per pass examination question institute
The knowledge point information of investigation.The knowledge point that per pass examination question is investigated can using for describe knowledge point keyword message or
Person knowledge point number distinguishing identifier.It optionally, can at the knowledge point investigated using the knowledge point every problem of number distinguishing identifier
The mapping relations of knowledge point and knowledge point number are pre-created, knowledge point is quickly determined to facilitate to number according to knowledge point.
In the present embodiment, actual measurement appraisal result can reflect user when carrying out the test of knowledge point master degree to target
It include the practical answer situation of each examination question in test content.Wherein, actual measurement appraisal result can be carried out in the form of vector
It indicates.For example, for including 20 examination questions in target detection content, actual measurement appraisal result of the user to target detection content
Are as follows: [1 110011011111101111 1], user answers questions examination question and is denoted as 1, answers wrong examination question and is denoted as
0。
In a kind of optional way of the present embodiment, user is obtained to the actual measurement appraisal result of target detection content, it can be with
Include the following steps S4011~S4012:
S4011, user is obtained to the true answer result of each examination question in target detection content;
S4012, according to the true answer of each examination question as a result, determining that user obtains dtex to the examination question of target detection content
Vector is levied, as actual measurement appraisal result.
It in the present embodiment, may include when carrying out the test of knowledge point master degree to user in target detection content
True answer result of the user for the multiple tracks examination question in target detection content.Optionally, user is to each in target detection content
The true answer situation of a examination question can be Xj;Wherein, XjIt can indicate that user tries the jth road for including in target detection content
The practical answer situation of topic.For example, Xj=1 expression user has answered questions the road target detection content Zhongj examination question, Xj=0 indicates
User has answered the road target detection content Zhongj examination question wrong.
It in the present embodiment, can be according to acquisition after obtaining true answer result of the user for each examination question
For each examination question true answer result composition user to the examination question score feature of each examination question of target detection content to
Amount is directed to the actual measurement appraisal result of target detection content as user.Illustratively, to include 20 in target detection content
For examination question, user to the true answer result of each examination question in target detection content successively are as follows: X1=1, X2=1 ...,
X20=1, so as to the user that obtains according to the user obtained to the true answer result of each examination question to target detection content
Examination question score feature vector can be for using X={ XjIndicate, X=[1 110011011111101
111 1], so as to the examination question score feature vector generation user according to user to each examination question in target detection content
To the actual measurement appraisal result of target detection content.
S402, according to each knowledge point and user for including in target detection content to the grasp parameter of each knowledge point,
User is generated to the likelihood appraisal result of target detection content.
In the present embodiment, user can be used for characterizing user in target detection content to the grasp parameter of knowledge point
The grasp situation of knowledge point.If user is bigger to the value of the grasp parameter of knowledge point, show user to target detection content
The Grasping level of middle knowledge point is higher;Correspondingly, showing user if user is smaller to the value of the grasp parameter of knowledge point
It is lower to the Grasping level of knowledge point in target detection content.It may include one or more knowledge points in target detection content.
Optionally, in the case where in target detection content comprising multiple knowledge points, user is to each knowledge point in target detection content
Grasping level can not be identical.
In the present embodiment, user only has the knowledge point that master goal test content includes as far as possible, could maximum possible
Answer questions each examination question in target detection content in ground.Optionally, if user is to the knowledge point for including in target detection content
Grasping level is higher, then the probability for answering questions each examination question in target detection content is higher;If user is in target detection
The Grasping level for the knowledge point for including in appearance is lower, then the probability for answering questions each examination question in target detection content is lower.
In the present embodiment, each knowledge point for including in obtaining target detection content and user are to target detection
After the grasp parameter of each knowledge point in content, a user can be obtained according to above-mentioned parameter to target detection content
Likelihood appraisal result.Wherein, user can be understood as using user to knowledge point the likelihood appraisal result of target detection content
Grasp parameter be indicated obtained user to the prediction test result of target detection content.It is understood that user
Grasp parameter to knowledge point is only a hypothesis parameter, rather than a practical value, thus finally obtained user couple
The likelihood appraisal result of target detection content is also only a prediction result, rather than actual value.
In a kind of optional way of the present embodiment, according to each knowledge point for including in target detection content and user
To the grasp parameter of each knowledge point, user is generated to the likelihood appraisal result of target detection content, may include following
S4021~S4022:
S4021, according to the incidence relation between the knowledge point for including in target detection content and target detection content, really
Determine Knowledge Relation information.
In the present embodiment, may include multiple knowledge points in target detection content, target detection content to comprising
The investigation dynamics of each knowledge point there may be certain difference so that target detection content with it is each in target detection content
Incidence relation between knowledge point will be different.The degree of association of knowledge point and target detection content in target detection content
Target detection content be can reflect to the investigation dynamics of knowledge point.Wherein, the knowledge point in target detection content and target detection
The degree of association of content is bigger, and target detection content is bigger to the investigation dynamics of knowledge point, shows knowledge point in target detection
It is more important in appearance;Knowledge point in target detection content and the degree of association of target detection content are smaller, and target detection content is to knowing
The investigation dynamics for knowing point is just smaller, shows that knowledge point is more inessential in target detection content.
Illustratively, it for including five knowledge points in target detection content, is surveyed according to target detection content and target
The descending sequence of the degree of association between knowledge point for including in examination content is ranked up, successively are as follows: the first knowledge point, the
Two knowledge points, third knowledge point, the 4th knowledge point, the 5th knowledge point.As it can be seen that knowledge point and target in target detection content
The degree of association of test content is maximum, and target detection content is maximum to the investigation dynamics of the first knowledge point at this time, and user knows first
The grasp situation for knowing point, can seriously affect last appraisal result;And in the knowledge point and target detection in target detection content
The degree of association of appearance is minimum, and target detection content is minimum to the investigation dynamics of the 5th knowledge point at this time, and user is to the 5th knowledge point
Situation is grasped, the corresponding last appraisal result of target detection content will not be seriously affected.
It based on the above situation, can be according between the knowledge point for including in target detection content and target detection content
Incidence relation determines Knowledge Relation information.It can be accurately reflected by Knowledge Relation information each in target detection content
The incidence relation of a knowledge point and target detection content.Since Knowledge Relation information establishes in knowledge point and target detection
The relationship of appearance, then subsequent can generate one more to the grasp parameter of knowledge point according to Knowledge Relation information and user
Stick on the appraisal result for sharing family actual test situation.
Further, in a kind of optional way of the present embodiment, according in target detection content and target detection content
Including knowledge point between incidence relation, determine Knowledge Relation information, may include following S4021a~S4021b:
S4021a, for each examination question for including in target detection content, according to each examination question and target detection content packet
The incidence relation between each knowledge point included, determines the Knowledge Relation feature vector of each examination question;
S4021b, the Knowledge Relation feature vector according to each examination question are determined in target detection content and target detection
The Knowledge Relation information between each knowledge point for including in appearance.
In the present embodiment, it may include multiple tracks examination question in target detection content, what every one of examination question to be investigated knows
Knowing point can be one or more.There may be certain for the knowledge point to be investigated of different examination questions in target detection content
Otherness.By taking any 2 examination question in target detection content as an example, the knowledge point to be investigated of first of examination question is first to know
Know point and the second knowledge point, the knowledge point to be investigated of second examination question can be specifically the first knowledge point and the second knowledge point,
It again can be specifically other knowledge points in addition to the first knowledge point and the second knowledge point, can also be specifically the first knowledge point
With third knowledge point.As it can be seen that the knowledge point to be investigated of different examination questions can be identical knowledge point in target detection content,
It is also possible to knowledge point different each other, can also be that there are the identical knowledge points in part each other.
In the present embodiment, for every one of examination question in target detection content, each examination question and target detection
The incidence relation between each knowledge point for including in content can using each examination question to target detection content include it is each
The investigation situation of a knowledge point is indicated.Wherein, any examination question is known each in target detection content in target detection content
Know point investigation situation can be understood as user correctly answer target detection content in any road examination question when whether need using
Each knowledge point into target detection content.Optionally, in target detection content each examination question to each in target detection content
The investigation situation of a knowledge point can be qjk, wherein qjkIt can indicate whether user needs when correctly answering jth road examination question
Knowledge point k in target detection content.For example, qjk=1 expression user needs knowledge point k when correctly answering jth road examination question,
qjk=0 expression user does not need knowledge point k when correctly answering jth road examination question.
In the present embodiment, determining every one of examination question in target detection content to each in target detection content
After the investigation situation of a knowledge point, it is denoted as " 1 " if examination question investigates a certain knowledge point, if examination question does not investigate a certain knowledge
Point is then denoted as " 0 ", so as to clear according to investigation situation of every one of examination question to each knowledge point in target detection content
The incidence relation between each knowledge point for including in every one of examination question and target detection content.It in turn, can be according to per together
The incidence relation between each knowledge point for including in examination question and target detection content obtains the Knowledge Relation per examination question together
Feature vector.Illustratively, for including 5 knowledge points in target detection content, first of examination question is investigated in target detection
The first knowledge point is denoted as " 1 " in appearance, and first of examination question is investigated the second knowledge point in target detection content and be denoted as " 1 ", first of examination
Topic is not investigated third knowledge point in target detection content and is denoted as " 0 ", and first of examination question is not investigated in target detection content the 4th and known
Know point and be denoted as " 0 ", first examination question investigates the 5th knowledge point in target detection content and is denoted as " 1 ", so as to obtain first
The corresponding Knowledge Relation feature vector of road examination question are as follows: [1 100 1].
In the present embodiment, it in view of may include multiple tracks examination question in target detection content, is surveyed for the ease of statistics target
Trying every one of examination question in content, can be each to include in target detection content using ID to the investigation situation of each knowledge point
Mark is numbered in a examination question.In addition, in view of may include multiple knowledge points in target detection content, in order to facilitate Statistical Area
Divide different knowledge points, mark can also be numbered to each knowledge point for including in target detection content with ID.Know in determination
It, can be quickly true according to knowledge point number according to the mapping relations that knowledge point and knowledge point number is pre-created after knowing point number
Determine knowledge point.
In the present embodiment, it may include multiple tracks examination question in target detection content, determining that every one of examination question is corresponding
After Knowledge Relation feature vector, so that it may special according to the corresponding Knowledge Relation of every one of examination question in target detection content
Sign vector establishes the Q matrix for characterizing incidence relation between every one of examination question and each knowledge point in target detection content, makees
For include in target detection content and target detection content each knowledge point between Knowledge Relation information.Wherein, Q square
Every a line of battle array corresponds to each examination question for including in target detection content, and each column of Q matrix correspond to be wrapped in target detection content
The each knowledge point contained.
S4022, according to Knowledge Relation information and user to the grasp parameter of knowledge point, generate user to target detection
The likelihood appraisal result of content.
In the present embodiment, Knowledge Relation information can be used for characterizing investigation of the target detection content to knowledge point
Situation, user can be used for characterizing user to the grasp situation of knowledge point in target detection content to the grasp parameter of knowledge point.
Under the premise of knowing above-mentioned parameter, a user can be obtained according to above-mentioned parameter and is scored the likelihood of target detection content
As a result.Wherein, user can be understood as joining the grasp of knowledge point using user to the likelihood appraisal result of target detection content
Number is indicated obtained user to the prediction test result of target detection content.
Further, in a kind of optional way of the present embodiment, according to Knowledge Relation information and user to knowledge point
Grasp parameter, generate user to the likelihood appraisal result of target detection content, may include following S4022a~S4022c:
S4022a, for each examination question for including in target detection content, obtain include in Knowledge Relation information every
The Knowledge Relation feature vector of one examination question;
S4022b, the Knowledge Relation feature vector according to each examination question, with user to including in target detection content
The grasp parameter of each knowledge point determines user to the likelihood appraisal result of each examination question;
S4022c, according to user to the likelihood appraisal result of each examination question, generate likelihood of the user to target detection content
Appraisal result.
In the present embodiment, for every one of examination question in target detection content, only user has grasped examination question
The knowledge point to be investigated, user are likely to accurately answer questions the examination question;If what user did not grasp that examination question to be investigated knows
Point is known, then user possibly can not accurately answer questions the examination question, even if having answered questions is also likely to be that user accidentally hits it.Knowledge
Point linked character vector can be used for characterizing every one of examination question in target detection content and know each in target detection content
Know the investigation situation of point, user can be used for characterizing user to each in target detection content to the grasp parameter of knowledge point
The grasp situation of knowledge point.
In the present embodiment, determining every one of examination question to the investigation situation of each knowledge point in target detection content
With user to the grasp situation of each knowledge point in target detection content after, can be using user to the palm of each knowledge point
The prediction that parameter and each examination question define each examination question to the investigation situation of each knowledge point in target detection content is held to answer
Inscribe result.Optionally, the Knowledge Relation feature vector of each examination question can be using every one of examination question in target detection content
The investigation situation q of each knowledge pointjkIt is indicated, user can be with to the grasp parameter of each knowledge point in target detection content
Using akIt indicates, akIndicate user to the grasp probability of knowledge point k in target detection content.Based on above-mentioned parameter, user is to mesh
Mark the likelihood appraisal result A of each examination question in test contentjIt is specifically as follows:Determining that user is directed to
In target detection content after the likelihood appraisal result of each examination question, the likelihood appraisal result group of each examination question can be directly utilized
Symphysis is at user to the likelihood appraisal result of target detection content.
S403, according to user to the actual measurement appraisal result and likelihood appraisal result of target detection content, determine and grasp parameter
Value, as user to the prediction master degree of each knowledge point in target detection content.
In the present embodiment, user is according to user in target detection to the actual measurement appraisal result of target detection content
The practical grasp situation progress actual test of each knowledge point obtains in appearance, and user scores to the likelihood of target detection content
The result is that being predicted to obtain according to grasp parameter of the user of hypothesis to each knowledge point in target detection content.
In the present embodiment, due to either surveying appraisal result or likelihood appraisal result is according to user to each
The grasp situation of a knowledge point obtains, then the likelihood appraisal result that finally obtained actual measurement appraisal result and prediction obtain
There should be same or similar result.Based on the above principles, actual measurement appraisal result is being obtained and using user to knowledge point
Grasp parameter identification likelihood appraisal result after, can according to actual measurement appraisal result and likelihood appraisal result it is similar or identical
Principle, user is to the grasp parameter of knowledge point in Converse solved likelihood appraisal result, so as to obtain Converse solved
The value for grasping parameter, as user to the master degree of knowledge point in target detection content.
In a kind of optional way of the present embodiment, according to user to the actual measurement appraisal result of target detection content and seemingly
Right appraisal result determines the value for grasping parameter, may include:
By preset parameter optimization algorithm, the error between actual measurement appraisal result and likelihood appraisal result is carried out most
Smallization processing obtains the value for grasping parameter.
In the present embodiment, user is to the actual measurement appraisal result of target detection content and user to target detection content
Likelihood appraisal result between error can be with is defined as: error=∑ | | Xj-Aj||2.Wherein, AjTarget is surveyed for user
Try likelihood appraisal result of the jth to examination question in content, XjIt scores for user the actual measurement of jth in target detection content to examination question
As a result, error is that user ties the actual measurement appraisal result of target detection content and user to the likelihood scoring of target detection content
Error between fruit.Due to when user to the actual measurement appraisal result of target detection content and user to target detection content seemingly
When error minimum between right appraisal result, it is believed that the deviation minimum of likelihood appraisal result and actual measurement appraisal result, at this time
It can consider AjIn include akIt is most accurate master degree of the user to knowledge point k in target detection content.
It in the present embodiment, can be by preset parameter optimization algorithm, to actual measurement appraisal result according to above-mentioned analysis
Error between likelihood appraisal result carries out minimum processing, to obtain user to the likelihood scoring knot of target detection content
The value for the grasp parameter for including in fruit.Optionally, it is carried out to the error between actual measurement appraisal result and likelihood appraisal result
Minimize processing when, can specifically using gradient descent method to actual measurement appraisal result and likelihood appraisal result between error into
Row minimizes Error processing, to obtain the value for the grasp parameter for including in likelihood appraisal result.
S404, foundation user screen to the prediction master degree of each knowledge point in target detection content and obtain user to mesh
Mark the prediction master degree of knowledge point.
In the present embodiment, in master degree set of the determining user to each knowledge point in target detection content not
Only include the master degree to object knowledge point, further includes the prediction master degree to other knowledge points, can therefrom screen and be used
Prediction master degree of the family to object knowledge point.
A kind of determination scheme of knowledge point master degree is additionally provided in the embodiment of the present invention, using the embodiment of the present invention
Technical solution need to only use the target detection content-data of active user, without the test content data of other users,
Can realize the independent test that knowledge point master degree is carried out to single user, with determine user to the grasp situation of knowledge point,
And due to according to user to the actual measurement appraisal result of target detection content to the grasp parameter for including in likelihood appraisal result into
Row is Converse solved, and using the value of the grasp parameter of solution as user to the master degree of knowledge point, therefore can guarantee final
Determining user can sufficiently reflect user to the practical grasp situation of knowledge point the master degree of knowledge point.
Fig. 5 is a kind of structural block diagram of the updating device of the knowledge point master degree provided in the embodiment of the present invention, this implementation
Example is applicable to update the case where user is to knowledge point master degree in real time.The device can use the side of software and/or hardware
Formula is realized, and is integrated in what equipment with network communicating function in office.As shown in figure 5, what is provided in the embodiment of the present invention knows
The updating device for knowing point master degree may include: history master degree determining module 501, difficulty level determining module 502 and history
Master degree update module 503.Wherein:
History master degree determining module 501, if in knowledge point master degree list for being pre-created including target detection
Object knowledge point in content, it is determined that the current difficulty level of the object knowledge point;
Difficulty level determining module 502, for determine user to the history master degree of the object knowledge point, and really
Determine the corresponding default difficulty level of the history master degree;
History master degree update module 503, for current difficulty level according to the object knowledge point and corresponding pre-
If difficulty level, the history master degree is updated.
On the basis of the above embodiments, optionally, the difficulty level determining module 502 may include:
Destination-related information determination unit, for being closed according between the object knowledge point and the target detection content
Connection relationship obtains the corresponding destination-related information of the object knowledge point;
Current difficulty level determination unit, for the difficulty according to the destination-related information and the target detection content
Rank is spent, determines the current difficulty level of the object knowledge point.
On the basis of the above embodiments, optionally, the destination-related information determination unit can be used for:
According to the incidence relation between the object knowledge point and each examination question of the target detection content, institute is determined
State the corresponding destination-related information of object knowledge point;The destination-related information characterizes each examination in the target detection content
Inscribe the investigation situation to the object knowledge point.
On the basis of the above embodiments, optionally, the current difficulty level determination unit can be used for:
According to the difficulty level of each examination question in the destination-related information and the target detection content, determine logical
It is corresponding to cross object knowledge point when each examination question respectively investigates the object knowledge point in the target detection content
Multiple difficulty levels;Each examination question is to the object knowledge in the destination-related information characterization target detection content
The investigation situation of point;
From the corresponding multiple difficulty levels of the object knowledge point, selection meets the difficulty level of preset condition, as
The current difficulty level of the object knowledge point.
On the basis of the above embodiments, optionally, the history master degree update module 503 may include:
First updating unit, if for detecting that it is described that the current difficulty level of the object knowledge point is greater than or equal to
The corresponding default difficulty level of history master degree, it is determined that user is to the prediction master degree of the object knowledge point, and according to use
Family adjusts the history master degree to the prediction master degree of the object knowledge point;
Second updating unit, if for detecting that the current difficulty level of the object knowledge point is slapped less than the history
The corresponding default difficulty level of degree of holding then adjusts the history master degree according to the current difficulty level.
On the basis of the above embodiments, optionally, first updating unit can be used for:
If detecting, examination question answer belonging to the object knowledge point of current difficulty level is correct, using user to described
The prediction master degree of object knowledge point replaces the history master degree.
On the basis of the above embodiments, optionally, second updating unit can be used for:
If examination question answer mistake belonging to the object knowledge point of current difficulty level is detected, according to the current difficulty
It spends rank and adjusts the history master degree according to preset adjustment dynamics.
On the basis of the above embodiments, optionally, described device can also include:
Measured result obtains module 504, for obtaining reality of the user to the target detection content for including object knowledge point
Survey appraisal result;
Likelihood result-generation module 505, for according to each knowledge point and user for including in the target detection content
To the grasp parameter of each knowledge point, user is generated to the likelihood appraisal result of the target detection content;
Master degree determining module 506, for the actual measurement appraisal result and likelihood according to user to the target detection content
Appraisal result determines the value for grasping parameter, the grasp as user to each knowledge point in the target detection content
Degree;
Master degree screening module 507, for the grasp according to user to each knowledge point in the target detection content
Degree, screening obtain user to the prediction master degree of the object knowledge point.
Aforementioned present invention, which can be performed, in the updating device of knowledge point master degree provided in the embodiment of the present invention arbitrarily implements
The update method of knowledge point master degree provided in example, has the corresponding function of update method of executing knowledge point master degree
And beneficial effect.
Fig. 6 is a kind of structural block diagram of the equipment provided in the embodiment of the present invention.Equipment in the embodiment of the present invention is in terms of
It is illustrated for calculation machine equipment.As shown in fig. 6, the computer equipment provided in the embodiment of the present invention, comprising: processor 610
With memory 620, input unit 630 and output device 640.Processor 610 in the computer equipment can be one or more
A, in Fig. 6 by taking a processor 610 as an example, in the computer equipment processor 610, memory 620, input unit
630 can be connected with output device 640 by bus or other modes, in Fig. 6 for being connected by bus.
Memory 620 in the computer equipment is used as a kind of computer readable storage medium, can be used for storing one or
Multiple programs, described program can be software program, computer executable program and module, as mentioned in the embodiment of the present invention
Corresponding program instruction/the module of the update method of the knowledge point master degree of confession is (for example, knowledge point master degree shown in fig. 5 is more
Module in new equipment, comprising: history master degree determining module, difficulty level determining module and history master degree update mould
Block).Software program, instruction and the module that processor 610 is stored in memory 620 by operation, thereby executing computer
The various function application and data processing of equipment, i.e., the update of knowledge point master degree in realization above method embodiment.
Memory 620 may include storing program area and storage data area, wherein storing program area can storage program area,
Application program needed at least one function;Storage data area, which can be stored, uses created data etc. according to equipment.This
Outside, memory 620 may include high-speed random access memory, can also include nonvolatile memory, for example, at least one
Disk memory, flush memory device or other non-volatile solid state memory parts.In some instances, memory 620 can be into
One step includes the memory remotely located relative to processor 610, these remote memories can be by network connection to setting
It is standby.The example of above-mentioned network includes but is not limited to internet, intranet, local area network, mobile radio communication and combinations thereof.
Input unit 630 can be used for receiving the number or character information of user's input, to generate the user with terminal device
Setting and the related key signals input of function control.Output device 640 may include that display screen etc. shows equipment.
Also, when one or more included program of above-mentioned computer equipment is by one or more of processors
When 610 execution, program is proceeded as follows:
If including the object knowledge point in target detection content in the knowledge point master degree list being pre-created, it is determined that
The current difficulty level of the object knowledge point;
Determine that user is corresponding pre- to the history master degree of the object knowledge point, and the determining history master degree
If difficulty level;
According to the current difficulty level and corresponding default difficulty level of the object knowledge point, the history is grasped
Degree is updated.
Certainly, it will be understood by those skilled in the art that when one or more included program quilt of above-mentioned computer equipment
When one or more of processors 610 execute, program can also carry out knowledge provided in any embodiment of that present invention
Relevant operation in the update method of point master degree.
A kind of computer readable storage medium is additionally provided in the embodiment of the present invention, is stored thereon with computer program, it should
The update method of the knowledge point master degree provided in the embodiment of the present invention is provided when program is executed by processor, this method comprises:
If including the object knowledge point in target detection content in the knowledge point master degree list being pre-created, it is determined that
The current difficulty level of the object knowledge point;
Determine that user is corresponding pre- to the history master degree of the object knowledge point, and the determining history master degree
If difficulty level;
According to the current difficulty level and corresponding default difficulty level of the object knowledge point, the history is grasped
Degree is updated.
Certainly, a kind of storage medium comprising computer executable instructions provided in the embodiment of the present invention, computer
The update method for the knowledge point master degree that executable instruction is not limited to the described above operates, and can also be performed of the invention any real
Relevant operation in the update method of the knowledge point master degree provided in example is provided, and has corresponding function and beneficial effect.
By the description above with respect to embodiment, it is apparent to those skilled in the art that, the present invention
It can be realized by software and required common hardware, naturally it is also possible to which by hardware realization, but in many cases, the former is more
Good embodiment.Based on this understanding, technical solution of the present invention substantially in other words contributes to the prior art
Part can be embodied in the form of software products, which can store in computer-readable storage medium
Floppy disk, read-only memory (Read-Only Memory, ROM), random access memory (Random in matter, such as computer
Access Memory, RAM), flash memory (FLASH), hard disk or CD etc., including some instructions are with so that a computer is set
Standby (can be robot, personal computer, server or the network equipment etc.) executes described in any embodiment of that present invention
The update method of knowledge point master degree.
It is worth noting that, in the updating device of above-mentioned knowledge point master degree, included each unit and module are
It is divided according to the functional logic, but is not limited to the above division, as long as corresponding functions can be realized;Separately
Outside, the specific name of each functional unit is also only for convenience of distinguishing each other, the protection scope being not intended to restrict the invention.
It should be appreciated that each section of the invention can be realized with hardware, software, firmware or their combination.Above-mentioned
In embodiment, multiple steps or method can be executed soft in memory and by suitable instruction execution system with storage
Part or firmware are realized.It, and in another embodiment, can be with well known in the art for example, if realized with hardware
Any one of following technology or their combination are realized: having a logic gate for realizing logic function to data-signal
The discrete logic of circuit, the specific integrated circuit with suitable combinational logic gate circuit, programmable gate array (PGA),
Field programmable gate array (FPGA) etc..
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any
One or more embodiment or examples in can be combined in any suitable manner.
Note that the above is only a better embodiment of the present invention and the applied technical principle.Those skilled in the art can manage
Solution, the invention is not limited to the specific embodiments described herein, is able to carry out various apparent changes for a person skilled in the art
Change, readjust and substitutes without departing from protection scope of the present invention.Therefore, although by above embodiments to the present invention
It is described in further detail, but the present invention is not limited to the above embodiments only, the case where not departing from present inventive concept
Under, it can also include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.
Claims (10)
1. a kind of update method of knowledge point master degree characterized by comprising
If including the object knowledge point in target detection content in the knowledge point master degree list being pre-created, it is determined that the mesh
Mark the current difficulty level of knowledge point;
Determine user to the history master degree of the object knowledge point, and the corresponding default difficulty of the determining history master degree
Rank;
According to the current difficulty level and corresponding default difficulty level of the object knowledge point, the history master degree is carried out
It updates.
2. being wrapped the method according to claim 1, wherein determining the current difficulty level of the object knowledge point
It includes:
According to incidence relation between the object knowledge point and the target detection content, it is corresponding to obtain the object knowledge point
Destination-related information;
According to the difficulty level of the destination-related information and the target detection content, the current of the object knowledge point is determined
Difficulty level.
3. according to the method described in claim 2, it is characterized in that, according to the object knowledge point and the target detection content
Between incidence relation, obtain the corresponding destination-related information of the object knowledge point, comprising:
According to the incidence relation between the object knowledge point and each examination question of the target detection content, the target is determined
The corresponding destination-related information in knowledge point;Each examination question is to described in the destination-related information characterization target detection content
The investigation situation of object knowledge point.
4. according to the method described in claim 2, it is characterized in that, according in the destination-related information and the target detection
The difficulty level of appearance determines the current difficulty level of the object knowledge point, comprising:
According to the difficulty level of each examination question in the destination-related information and the target detection content, determine by described
The object knowledge point is corresponding multiple when each examination question respectively investigates the object knowledge point in target detection content
Difficulty level;The destination-related information characterizes investigation of each examination question to the object knowledge point in the target detection content
Situation;
From the corresponding multiple difficulty levels of the object knowledge point, selection meets the difficulty level of preset condition, as described
The current difficulty level of object knowledge point.
5. the method according to claim 1, wherein according to the current difficulty level of the object knowledge point and right
The default difficulty level answered is updated the history master degree, comprising:
If detecting, the current difficulty level of the object knowledge point is greater than or equal to the corresponding default difficulty of the history master degree
Spend rank, it is determined that user is to the prediction master degree of the object knowledge point, and according to user to the pre- of the object knowledge point
It surveys master degree and adjusts the history master degree;
If detecting, the current difficulty level of the object knowledge point is less than the corresponding default difficulty level of the history master degree,
Then the history master degree is adjusted according to the current difficulty level.
6. according to the method described in claim 5, it is characterized in that, according to user to the prediction master degree of the object knowledge point
Adjust the history master degree, comprising:
If detecting, examination question answer belonging to the object knowledge point of current difficulty level is correct, is known using user the target
The prediction master degree for knowing point replaces the history master degree;
Correspondingly, adjusting the history master degree according to the current difficulty level, comprising:
If examination question answer mistake belonging to the object knowledge point of current difficulty level is detected, according to the current difficulty level
The history master degree is adjusted according to preset adjustment dynamics.
7. according to the method described in claim 5, it is characterized in that, determining that user grasps the prediction of the object knowledge point
Degree, comprising:
Obtain actual measurement appraisal result of the user to the target detection content for including object knowledge point;
According to each knowledge point and user for including in the target detection content to the grasp parameter of each knowledge point, generates and use
Likelihood appraisal result of the family to the target detection content;
According to user to the actual measurement appraisal result and likelihood appraisal result of the target detection content, the grasp parameter is determined
Value, as user to the master degree of each knowledge point in the target detection content;
According to user to the master degree of each knowledge point in the target detection content, screening obtains user to the object knowledge
The prediction master degree of point.
8. a kind of updating device of knowledge point master degree characterized by comprising
History master degree determining module, if comprising in target detection content in knowledge point master degree list for being pre-created
Object knowledge point, it is determined that the current difficulty level of the object knowledge point;
Difficulty level determining module, for determining that user goes through to the history master degree of the object knowledge point, and described in determination
The corresponding default difficulty level of history master degree;
History master degree update module, for according to the object knowledge point current difficulty level and corresponding default difficulty grade
Not, the history master degree is updated.
9. a kind of equipment, which is characterized in that the equipment includes:
One or more processors;
Storage device, for storing one or more programs;
When one or more of programs are executed by one or more of processors, so that one or more of processors are real
The update method of any knowledge point master degree in existing claim 1-7.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
The update method of any knowledge point master degree in claim 1-7 is realized when execution.
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