CN110147428B

CN110147428B - Method, device, equipment and storage medium for updating knowledge point mastery degree

Info

Publication number: CN110147428B
Application number: CN201910289817.8A
Authority: CN
Inventors: 张永锋; 张洪博
Original assignee: Beijing Renxue Education Technology Co ltd
Current assignee: Beijing Renxue Education Technology Co ltd
Priority date: 2019-04-11
Filing date: 2019-04-11
Publication date: 2021-08-27
Anticipated expiration: 2039-04-11
Also published as: CN110147428A

Abstract

The embodiment of the invention discloses a method, a device, equipment and a storage medium for updating knowledge point mastery degree. The method comprises the following steps: if the pre-created knowledge point mastery degree list contains the target knowledge point in the target test content, determining the historical mastery degree of the user on the target knowledge point; determining a preset difficulty level corresponding to the historical mastery degree, and determining a current difficulty level of the target knowledge point; and updating the historical mastery degree of the target knowledge point according to the current difficulty level of the target knowledge point and the corresponding preset difficulty level. By adopting the technical scheme of the embodiment of the invention, the problem that the actual mastering condition of the user on each knowledge point cannot be obtained is solved, the mastering condition of the user on the knowledge points can be updated and recorded in time according to the actual answer condition of the user on the test questions containing the related knowledge points, so that the test questions which are consistent with the mastering degree of the user on the knowledge points can be pushed to the user for practice.

Description

Method, device, equipment and storage medium for updating knowledge point mastery degree

Technical Field

The embodiment of the invention relates to the technical field of computer application, in particular to a method, a device, equipment and a storage medium for updating knowledge point mastery.

Background

At present, with the continuous development of internet technology, various learning auxiliary products are more and more, and a user can learn by means of the various learning auxiliary products. For example, in the actual test question practice process, the test questions with the related knowledge points can be pushed to various learning auxiliary products to which the user belongs according to the mastering conditions of the user on the knowledge points in the test questions, and the user can perform consolidated learning on the related knowledge points in the various learning auxiliary products.

However, since the user continuously learns the knowledge points in the test questions, the mastering conditions of the user for the knowledge points are changed, so that the test questions containing the relevant knowledge points recommended to the user are inconsistent with the mastering degrees of the user for the knowledge points, unnecessary test question exercise time is increased, and the actual mastering conditions of the user for the knowledge points cannot be known, so that the test questions meeting the current holding conditions of the user cannot be recommended to the user, and the learning effect of the user is seriously influenced.

Disclosure of Invention

In view of the foregoing problems, embodiments of the present invention provide a method, an apparatus, a device, and a storage medium for updating knowledge point mastery, so as to update knowledge point mastery in one or more test questions.

In a first aspect, an embodiment of the present invention provides an updating method for knowledge point mastery, including:

if the pre-created knowledge point mastery degree list contains the target knowledge point in the target test content, determining the current difficulty level of the target knowledge point;

determining the historical mastery degree of the user on the target knowledge point, and determining a preset difficulty level corresponding to the historical mastery degree;

and updating the historical mastery degree of the target knowledge point according to the current difficulty level of the target knowledge point and the corresponding preset difficulty level.

In a second aspect, an embodiment of the present invention further provides an apparatus for updating a knowledge point mastery degree, including:

the historical mastery degree determining module is used for determining the current difficulty level of a target knowledge point if a pre-established knowledge point mastery degree list contains the target knowledge point in the target test content;

the difficulty level determining module is used for determining the historical mastery degree of the target knowledge point by the user and determining a preset difficulty level corresponding to the historical mastery degree;

and the historical mastery degree updating module is used for updating the historical mastery degree of the target knowledge point according to the current difficulty level of the target knowledge point and the corresponding preset difficulty level.

In a third aspect, an embodiment of the present invention further provides an apparatus, including:

one or more processors;

storage means for storing one or more programs;

when the one or more programs are executed by the one or more processors, the one or more processors implement any one of the methods for updating knowledge point mastery provided in the embodiments of the present invention.

In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements any one of the methods for updating knowledge points mastery provided in the embodiments of the present invention.

The embodiment of the invention provides an updating scheme of knowledge point mastery, wherein if a pre-established knowledge point mastery list contains a target knowledge point in target test content, the historical mastery of a user on the target knowledge point is determined; determining a preset difficulty level corresponding to the historical mastery degree, and determining a current difficulty level of the target knowledge point; and updating the historical mastery degree of the target knowledge point according to the current difficulty level of the target knowledge point and the corresponding preset difficulty level. By adopting the technical scheme of the embodiment of the invention, the problems that the actual mastering condition of the user on each knowledge point cannot be obtained and the test questions meeting the current mastering condition of the user cannot be recommended to the user are solved, the mastering condition of the user on the knowledge points can be timely updated and recorded according to the actual answer condition of the user on the test questions containing the related knowledge points, so that the test questions meeting the mastering degree of the user on the knowledge points can be subsequently pushed to the user for exercise, and the problem that the user cannot exercise the knowledge points effectively due to the fact that the test questions which are difficult or easy are pushed to the user is avoided.

The above summary of the present invention is merely an overview of the technical solutions of the present invention, and the present invention can be implemented in accordance with the content of the description in order to make the technical means of the present invention more clearly understood, and the above and other objects, features, and advantages of the present invention will be more clearly understood.

Drawings

Other features, objects and advantages of the invention will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Moreover, like reference numerals refer to like parts throughout the several views of the drawings. In the drawings:

FIG. 1 is a flowchart of a method for updating knowledge points in accordance with an embodiment of the present invention;

FIG. 2 is a flowchart of another method for updating knowledge points provided in an embodiment of the present invention;

FIG. 3 is a flowchart of another method for updating knowledge points in accordance with an embodiment of the present invention;

FIG. 4 is a flowchart of a method for determining a user's predicted mastery of a target knowledge point according to an embodiment of the present invention;

FIG. 5 is a block diagram of an apparatus for updating a knowledge point mastery level according to an embodiment of the present invention;

fig. 6 is a block diagram of a device provided in an embodiment of the present invention.

Detailed Description

Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings, which show exemplary embodiments of the invention, however, it should be understood that the exemplary embodiments described herein are merely illustrative of the invention and are not limiting thereof. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. In addition, it should be noted that, for convenience of description, only a part of structures related to the present invention, not all of the structures, are shown in the drawings.

Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently, or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.

Under the current competitive educational pressure, it is desirable to obtain more information about the user's mastery of the knowledge points from the user's exercise or test response in order to make more objective evaluations and help for the user.

Generally, a relatively consistent knowledge point mastery degree can be obtained by estimating the knowledge point mastery degree of the user, but since the knowledge point mastery degree of the user changes and there may be a certain contingency in estimating the knowledge point mastery degree, for this reason, the knowledge point mastery degree needs to be updated in real time according to the actual answer situation of the user.

The following describes in detail a method, an apparatus, a device, and a storage medium for updating knowledge point mastery provided in the embodiments of the present invention.

Fig. 1 is a flowchart of a method for updating knowledge point mastery provided in an embodiment of the present invention, and the embodiment is applicable to a case where the knowledge point mastery of a user is updated in real time. The method can be executed by a device for updating the mastery degree of the knowledge point, which can be realized in a software and/or hardware manner and integrated on any equipment with a network communication function. As shown in fig. 1, the method for updating the knowledge point mastery level provided in the embodiment of the present invention may include the following steps S101 to S103:

s101, if the target knowledge point in the target test content is contained in the pre-created knowledge point mastery degree list, determining the current difficulty level of the target knowledge point.

In the present embodiment, the knowledge point mastery degree list created in advance may store therein the respective knowledge points mastered by the user and the mastery degrees of the respective knowledge points by the user, and the mapping relationship between the respective knowledge points and the mastery degrees of the knowledge points by the user. The target test content may be test content used when the knowledge point mastery degree test is performed for the user. Wherein, the test content may include: and a plurality of test questions used when the knowledge point mastery degree test is carried out on the user. The target knowledge point may be one or more specified knowledge points contained in the target test content. For example, when it is necessary to determine the user's holding degree of the specified knowledge points in the target test content, the specified knowledge points may be used as target knowledge points. Optionally, since the knowledge points to be learned by each user have a certain difference, in order to facilitate management of the mastery degree of each user on the respective knowledge points, a corresponding knowledge point mastery degree list may be created for each user.

In the present embodiment, it is considered that the knowledge points stored in the knowledge point mastery degree list created in advance are knowledge points which are historically mastered by the user and for which the degree of mastery has been determined, and not all the knowledge points are stored in the knowledge point mastery degree list created in advance. For this reason, when determining the degree of grasp of the target knowledge point by the user, it is necessary to detect whether or not the target knowledge point is included in the knowledge point degree of grasp list created in advance. If the pre-created knowledge point mastery degree list contains the target knowledge point, subsequent updating operation is required according to the scheme of the embodiment; if the target knowledge point is not included in the pre-created knowledge point mastery degree list, the user's predicted mastery degree of the target knowledge point can be obtained by using a method for determining the mastery degree of the knowledge point. The user's predicted mastery degree of the target knowledge point is only an initial estimated value.

In this embodiment, when the knowledge point only appears as a certain theorem, that is, only the knowledge point itself is considered, for example, only the formula of "Pythagorean theorem", the difficulty of the knowledge point is fixed at this time. However, if the knowledge points are not simply examined when examining the knowledge points, but the knowledge points are incorporated into the test content for examination, for example, the knowledge points are incorporated into the test questions included in the test content for examination, the difficulty of the knowledge points cannot be simply considered as the difficulty of the knowledge points themselves, but the difficulty of the knowledge points after being incorporated into the test content. It follows that when a target knowledge point is examined by test contents, the difficulty level of the target knowledge point is not always constant. For this reason, in the case where it is detected that the target knowledge point in the target test content has been included in the previously created knowledge point mastery degree list, the current difficulty level of the target knowledge point may be determined first. The current difficulty level can be understood as the difficulty level of the target knowledge point after being merged into the target test content.

S102, determining the historical mastery degree of the user on the target knowledge point, and determining a preset difficulty level corresponding to the historical mastery degree.

In the present embodiment, a mapping relationship between each knowledge point and the degree of grasp of the knowledge point by the user may be stored in the knowledge point degree of grasp list created in advance. Therefore, the historical mastery degree of the user on the target knowledge point can be obtained according to the mapping relation between the knowledge points stored in the knowledge point mastery degree list of the user and the historical mastery degree of the user on the knowledge points. The historical mastery degree of the target knowledge point by the user can be understood as the mastery degree of the target knowledge point by the user recorded in the history in the knowledge point mastery degree list, but not the latest mastery degree of the target knowledge point by the user.

In this embodiment, whether the user can complete a knowledge point of a certain difficulty level is related to the mastery degree of the knowledge point by the user. In other words, if the user wants to complete a knowledge point of a certain difficulty level, it is necessary to ensure that the user's mastery of the knowledge point matches the difficulty level of the knowledge point. Based on the situation, the mapping relation between the mastery degree of the user on the target knowledge point and the preset difficulty level corresponding to the mastery degree can be pre-established according to the required user holding degree on the target knowledge point when the user finishes the target knowledge points with different difficulty levels, and the mapping relation is stored and recorded. In addition, according to the above manner, a mapping relationship between the mastery degree of the user on the knowledge point and the preset difficulty level corresponding to the mastery degree can be established for each knowledge point, and the established mapping relationship is stored in the corresponding database in advance.

In this embodiment, the preset difficulty level corresponding to the historical mastery level may be determined according to the pre-stored mapping relationship and the historical mastery level of the target knowledge point by the user. The preset difficulty level corresponding to the mastery degree can understand the difficulty level of the target knowledge point which can be normally completed by the user according to the mastery degree of the target knowledge point by the current user.

Illustratively, the user's mastery of the target knowledge point is divided into: understanding, basic mastering, general mastering, skilled mastering and complete mastering, and the difficulty level of the target knowledge point is divided into: the method is easy, general, difficult and difficult, a mapping relation is established between the mastery degree 'understanding' of the target knowledge point by the user and the difficulty level 'easy' of the target knowledge point, a mapping relation is established between the mastery degree 'basic mastery' of the target knowledge point by the user and the difficulty level 'easy' of the target knowledge point, a mapping relation is established between the mastery degree 'general' of the target knowledge point by the user and the difficulty level 'general' of the target knowledge point, a mapping relation is established between the mastery degree 'skillful' of the target knowledge point by the user and the difficulty level 'difficult' of the target knowledge point by the user, and a mapping relation is established between the mastery degree 'complete mastery' of the target knowledge point by the user and the difficulty level 'difficult' of the target knowledge point. If the mastery degree of the target knowledge point by the user is 'complete mastery', the user can normally finish the target knowledge points of all difficulty levels; if the user's mastery degree of the target knowledge point is ' know ', the user can normally complete only the target knowledge point of ' easy ' difficulty level.

S103, updating the historical mastery degree of the target knowledge point by the user according to the current difficulty level of the target knowledge point and a preset difficulty level corresponding to the historical mastery degree.

In this embodiment, as the user exercises the target knowledge point, the mastery degree of the user on the knowledge point is increased, and as the user wears the target knowledge point, the mastery degree of the user on the target knowledge point is decreased. Therefore, the user's historical mastery degree of the target knowledge point does not reflect the user's mastery degree of the knowledge point in the current state. By adopting the mode, the degree of mastering the history of the target knowledge point by the user can be converted into the difficulty level from the degree of mastering, so that the degree of mastering the target knowledge point by the user can be adjusted in real time according to the actual completion condition of the target knowledge point of the current difficulty level by the user.

The embodiment of the invention provides an updating scheme of knowledge point mastery, and by adopting the technical scheme of the embodiment of the invention, the problems that the actual mastery condition of a user on each knowledge point cannot be obtained and the test question conforming to the current mastery condition of the user cannot be recommended to the user are solved, the mastery condition of the user on the knowledge points can be updated in time and recorded according to the actual answer condition of the user on the test question containing the related knowledge points, so that the test question conforming to the mastery degree of the user on the knowledge points can be pushed to the user for practice in the following process, and the problem that the user difficultly or easily pushes the test question to the user is avoided, thereby causing the invalid practice of the user on the knowledge points.

Fig. 2 is a flowchart of another method for updating knowledge point mastery provided in the embodiment of the present invention, which is further optimized based on the above embodiment, and the embodiment of the present invention may be combined with various alternatives in one or more of the above embodiments. As shown in fig. 2, the method for updating the knowledge point mastery level provided in the embodiment of the present invention may include the following steps S201 to S204:

s201, if the pre-created knowledge point mastery degree list contains the target knowledge point in the target test content, obtaining target association information corresponding to the target knowledge point according to the association relationship between the target knowledge point and the target test content.

In this embodiment, the association relationship between the target knowledge point and the target test content may be understood as the investigation condition of the target test content on the target knowledge point. The higher the investigation strength of the target test content on the target knowledge point is, the larger the incidence relation between the target knowledge point and the target test content is, and the more important the target knowledge point is in the target test content is; the smaller the investigation strength of the target test content on the target knowledge point is, the smaller the incidence relation between the target knowledge point and the target test content is, which indicates that the target knowledge point is less important in the target test content.

In an optional manner of this embodiment, obtaining target associated information corresponding to the target knowledge point according to an association relationship between the target knowledge point and the target test content may include:

determining target association information corresponding to the target knowledge point according to the association relationship between the target knowledge point and each test question of the target test content; the target associated information represents the investigation condition of each test question in the target test content on the target knowledge point.

In this embodiment, the target test content may include a plurality of test questions, and the examination conditions of the target knowledge points by the test questions may have a certain difference, for example, some test questions may focus on examining the target knowledge points, and some test questions may not examine the target knowledge points. Therefore, the target association information corresponding to the target knowledge point can be determined according to the association relationship between the target knowledge point and each test question in the target mapping test content. The association relationship between the target knowledge point and each test question in the target test content may refer to the investigation condition of each test question on the target knowledge point. The examination of the test question on the target knowledge point can be understood as whether the user needs to use the target knowledge point when correctly answering the test question.

In this embodiment, taking the target knowledge point as the knowledge point k as an example, the investigation condition of each test question in the target test content on the target knowledge point may be q_jkWherein q is_jkIt can indicate whether the user needs the knowledge point k when correctly answering the jth test question. When q is_jkWhen the answer is 1, the user needs a knowledge point k when correctly answering the jth test question, and when q is equal to_jkWhen 0, it means that the user does not need the knowledge point k when correctly answering the jth test question. Therefore, the association relationship between the target knowledge point and each test question contained in the target test content can be obtained, and further the target association information corresponding to the target knowledge point is obtained.

S202, determining the current difficulty level of the target knowledge point according to the target association information and the difficulty level of the target test content.

In this embodiment, the target association information may reflect an association relationship between the target knowledge point and the target test content. In view of the fact that the target knowledge point is investigated by being merged into the target test content, the difficulty of the target knowledge point cannot be simply considered as the difficulty of the knowledge point, but is the difficulty of the target knowledge point after being merged into the test content. The actual difficulty of the target knowledge point is related to the target test content. The greater the incidence relation between the target knowledge point and the target test content is, the smaller the difference between the difficulty level of the target knowledge point and the difficulty level of the target test content is, and particularly, the difficulty level of the target knowledge point can be equal to the difficulty level of the target test content when the incidence relation between the target knowledge point and the target test content is as large as possible; the smaller the association relationship between the target knowledge point and the target test content, the larger the difference between the difficulty level of the target knowledge point and the difficulty level of the target test content.

In an optional manner of this embodiment, determining the current difficulty level of the target knowledge point according to the target association information and the difficulty level of the target test content may include the following steps S2021 to S2022:

s2021, determining a plurality of difficulty levels corresponding to the target knowledge point when the target knowledge point is inspected through each test question in the target test content according to the target association information and the difficulty level of each test question in the target test content; the target associated information represents the examination condition of each test question in the target test content on the target knowledge point;

s2022, selecting a difficulty level meeting a preset condition from the plurality of difficulty levels corresponding to the target knowledge point, as the current difficulty level of the target knowledge point.

In this embodiment, the target test content may include a plurality of test questions, and each test question may have a difficulty level corresponding to the test question. The difficulty level between each test question in the target test content can be the same or different. The target associated information may include an association relationship between the target knowledge point and each test question in the target test content. The incidence relation between the target knowledge point and each test question in the target test content can be represented by each test question of the target test content. Considering that the target survey test content can include a plurality of test questions, each test question is provided with a difficulty level corresponding to the test question, the difficulty level corresponding to the target knowledge point when the target knowledge point is investigated through each test question can be determined according to the association relationship between each test question and the target knowledge point, and then a plurality of difficulty levels corresponding to the target knowledge point when the target knowledge point is investigated through each test question can be obtained.

In this embodiment, if the examination question in the target test content considers the target knowledge point, which indicates that the user needs to use the target knowledge point when correctly answering the examination question, it is determined that there is an association relationship between the target knowledge point and the examination question, and at this time, a difficulty level corresponding to the target knowledge point when being considered by the examination question may be determined according to the difficulty level of the examination question, for example, the difficulty level of the examination question may be directly used as the difficulty level of the target knowledge point when being considered by the examination question. If the test question in the target test content does not examine the target knowledge point, indicating that the user does not need to use the target knowledge point when correctly answering the test question, determining that no association exists between the target knowledge point and the test question, and at this time, directly abandoning the difficulty level corresponding to the target knowledge point when being examined by the test question or directly setting the difficulty level corresponding to the target knowledge point when being examined by the test question to be 0.

In this embodiment, after determining a plurality of difficulty levels of the target knowledge point when examining each test question, the determined difficulty levels may be ranked, and the greatest difficulty level may be selected as the current difficulty level of the target knowledge point. For example, the difficulty levels may be ranked in order of decreasing difficulty level, and the previously ranked difficulty level may be used as the current difficulty level of the target knowledge point.

S203, determining the historical mastery degree of the target knowledge point by the user, and determining a preset difficulty level corresponding to the historical mastery degree.

And S204, updating the historical mastery degree of the target knowledge point by the user according to the current difficulty level of the target knowledge point and the corresponding preset difficulty level.

The technical scheme of the embodiment of the invention solves the problems that the actual mastering condition of a user on each knowledge point cannot be obtained and the test question conforming to the current mastering condition of the user cannot be recommended to the user, and can determine the difficulty level of the relevant knowledge point in the target test content according to the incidence relation between the relevant knowledge point in the target test content and the difficulty level of the target test content, so that the mastering condition of the user on the relevant knowledge point can be timely updated according to the actual answer condition of the test question containing the relevant knowledge point by the user.

Fig. 3 is a flowchart of another method for updating knowledge point mastery provided in the embodiment of the present invention, which is further optimized based on the above embodiment, and the embodiment of the present invention may be combined with various alternatives in one or more of the above embodiments. As shown in fig. 3, the method for updating the knowledge point mastery level provided in the embodiment of the present invention may include the following steps S301 to S304:

s301, if the target knowledge point in the target test content is contained in the pre-created knowledge point mastery degree list, determining the current difficulty level of the target knowledge point.

S302, determining the historical mastery degree of the target knowledge point by the user, and determining a preset difficulty level corresponding to the historical mastery degree.

And S303, if the current difficulty level of the target knowledge point is detected to be larger than or equal to the preset difficulty level corresponding to the historical mastery degree, determining the predicted mastery degree of the target knowledge point by the user, and adjusting the historical mastery degree of the target knowledge point by the user according to the predicted mastery degree of the target knowledge point by the user.

In this embodiment, according to the historical mastery degree of the target knowledge point by the user, the user can generally correctly complete the target knowledge point of the preset difficulty level corresponding to the historical mastery degree. If the current difficulty level of the target knowledge point is larger than the preset difficulty level corresponding to the historical mastery degree, the current difficulty level of the target knowledge point which is finished by the user is more difficult than the target knowledge point with the preset difficulty level, and the user carries out deeper exercise on the target knowledge point at the moment; if the current difficulty level of the target knowledge point is equal to the preset difficulty level corresponding to the historical mastery degree, the current difficulty level of the target knowledge point finished by the user is shown to have the same difficulty as the target knowledge point with the preset difficulty level, and at the moment, the user only carries out consolidation exercise on the target knowledge point but does not deeply exercise the more difficult knowledge point. It can be seen that, in the above two cases, the mastery degree of the target knowledge point by the user is improved along with the continuous practice of the target knowledge point by the user, but the specific mastery degree of the target knowledge point by the user is improved, and needs to be determined according to the actual answer condition of the test question containing the target knowledge point by the user.

In this embodiment, when it is detected that the current difficulty level of the target knowledge point is greater than or equal to the preset difficulty level corresponding to the historical mastery level, if it is detected that the test question answer to which the target knowledge point of the current difficulty level belongs is correct, it indicates that the user has correctly completed the target knowledge point of the current difficulty level that is harder than the target knowledge point of the preset difficulty level, and the actual mastering condition of the corresponding user for the target knowledge point may have been greatly improved. In this case, the predicted grasping degree of the target knowledge point by the user may be determined, and the historical grasping degree may be adjusted according to the predicted grasping degree of the target knowledge point by the user.

In this embodiment, when it is detected that the current difficulty level of the target knowledge point is greater than or equal to the preset difficulty level corresponding to the historical mastery level, if it is detected that the test question answering error of the target knowledge point of the current difficulty level belongs to the test question answering error, it indicates that the user has not correctly completed the target knowledge point of the current difficulty level that is harder than the target knowledge point of the preset difficulty level, and the actual mastering condition of the corresponding user for the target knowledge point may be changed only a little and may be ignored. In this case, the predicted palm-grip of the user on the target knowledge point may be determined, and the historical grasping degree may be adjusted according to the predicted grasping degree of the user on the target knowledge point, or the historical grasping degree of the user on the target knowledge point may be directly set as the latest grasping degree.

S304, if the current difficulty level of the target knowledge point is detected to be smaller than the preset difficulty level corresponding to the historical mastery degree, the historical mastery degree of the user on the target knowledge point is adjusted according to the current difficulty level.

In this embodiment, if the current difficulty level of the target knowledge point is smaller than the preset difficulty level corresponding to the historical mastery level, it indicates that the current difficulty level of the target knowledge point being completed by the user is simpler than the target knowledge point of the preset difficulty level, and at this time, the user cannot achieve deepening practice on the target knowledge point through contact with the target knowledge point, and cannot achieve consolidation on the target knowledge point, and therefore, the mastery degree of the user on the target knowledge point may not be affected. It can be seen that, since the user does not perform deepening and strengthening exercises on the target knowledge point, the mastery degree of the user on the familiar knowledge points may decrease with time, but the specific mastery degree of the user on the target knowledge point decreases by a certain amount, which needs to be determined according to the actual answer condition of the user on the test question including the target knowledge point.

In this embodiment, when it is detected that the current difficulty level of the target knowledge point is smaller than the preset difficulty level corresponding to the historical mastery level, if it is detected that the test question to which the target knowledge point of the current difficulty level belongs is answered incorrectly, it indicates that the user has not completed the target knowledge point of the current difficulty level, which is simpler than the target knowledge point of the preset difficulty level, and accordingly, the actual mastery degree of the user on the target knowledge point may have decreased. At this time, the historical mastery degree of the target knowledge point by the user can be reduced according to the current difficulty level of the target knowledge point and the preset adjustment force, so as to realize the updating operation of the historical mastery degree of the target knowledge point by the user. The larger the current difficulty level of the target knowledge point is, the larger the adjustment force is; the smaller the current difficulty level of the target knowledge point, the smaller the adjustment force.

In this embodiment, optionally, the historical mastery degree of the target knowledge point by the user may be reduced according to a preset adjustment degree, where the calculation formula of the adjustment degree may beComprises the following steps: r ═ 1-ds_k) N is a natural number within the range of 5 to 20, and may be, for example, 5, 6, 7, 8 … …, ds_kThe difficulty level is the current difficulty level of the target knowledge point, and can be represented by setting a specific difficulty level parameter, wherein r is the adjustment strength.

In this embodiment, when it is detected that the current difficulty level of the target knowledge point is smaller than the preset difficulty level corresponding to the historical mastery level, if it is detected that the test question answer to which the target knowledge point of the current difficulty level belongs is correct, it indicates that the user correctly completes the target knowledge point of the current difficulty level, which is simpler than the target knowledge point of the preset difficulty level, but because the difficulty of the completed target knowledge point is low, the actual mastering condition of the user on the target knowledge point is not influenced too much, and the difficulty can be ignored. In this case, the user's historical mastery level of the target knowledge point may not be updated.

Fig. 4 is a flowchart of a method for determining a predicted mastery degree of a target knowledge point by a user in an embodiment of the present invention, where the embodiment of the present invention is optimized based on the above embodiment, and the embodiment of the present invention may be combined with various alternatives in one or more embodiments. As shown in fig. 4, the method for determining the predicted grasping degree of the target knowledge point by the user according to the embodiment of the present invention may include S401 to S404:

s401, obtaining the actual measurement grading result of the target test content containing the target knowledge point by the user.

In this embodiment, the target test content may implement investigation of multiple knowledge points, and the target test content including the target knowledge point may not only investigate the target knowledge point, but also investigate other knowledge points in the target test content. The target test content can comprise a plurality of test questions, and the investigation of the knowledge points is realized through the plurality of test questions. Wherein, the test question information may include: the method comprises the following steps of providing test question answer information of each test question, subject information of each test question and knowledge point information investigated by each test question. The knowledge points examined by each test question can be distinguished and identified by adopting keyword information or knowledge point numbers for describing the knowledge points. Optionally, when the knowledge points considered by each question are distinguished and identified by using the knowledge point numbers, the mapping relationship between the knowledge points and the knowledge point numbers can be created in advance, so that the knowledge points can be determined quickly according to the knowledge point numbers.

In this embodiment, the actual measurement scoring result may reflect an actual answer condition of each test question included in the target test content when the user performs the knowledge point mastery degree test. Wherein, the measured scoring result can be represented in a vector form. For example, taking 20 test questions included in the target test content as an example, the actual measurement scoring result of the target test content by the user is as follows: [ 11100110111111011111 ], the user has a right test question of 1 and a wrong test question of 0.

In an optional manner of this embodiment, acquiring a measured result of the target test content by the user may include the following steps S4011 to S4012:

s4011, acquiring a real answer result of each test question in the target test content;

s4012, according to the real answer result of each test question, determining a test question scoring feature vector of the target test content by the user, and taking the test question scoring feature vector as an actual measurement scoring result.

In this embodiment, the target test content may include a real answer result of the user for a plurality of test questions in the target test content when the knowledge point mastery degree test is performed on the user. Optionally, the actual answer condition of each test question in the target test content mapped by the user may be X_j(ii) a Wherein, X_jThe actual answer condition of the jth test question contained in the target test content by the user can be represented. For example, X_j1 represents that the user answers the jth test question in the target test content, and X_jAnd 0 represents that the user wrote the jth test question in the target test content.

In this embodiment, after the real answer results of the user for each test question are obtained, the test question score feature vectors of the user for each test question of the target test content can be formed according to the obtained real answer results for each test question, and the feature vectors are used as the test question score feature vectors of the user for the target test contentAnd (5) measuring and grading results. Illustratively, taking 20 test questions contained in the target test content as an example, the real answer results of the user to each test question in the target test content sequentially are as follows: x₁＝1、X₂＝1、……、X₂₀The result is 1, so that the test question score feature vector of the user to the target test content, which can be obtained according to the obtained real answer result of the user to each test question, can be X ═ { X ═ X_jDenotes, X ═ 11100110111111011111]Therefore, the actual measurement grading result of the user on the target test content can be generated according to the test question scoring feature vector of the user on each test question in the target test content.

S402, generating a likelihood scoring result of the target test content by the user according to the knowledge points included in the target test content and the mastering parameters of the user to the knowledge points.

In this embodiment, the user's grasp parameters of the knowledge points may be used to characterize the user's grasp of the knowledge points in the target test content. If the value of the knowledge point grasping parameter of the user is larger, the grasping degree of the knowledge point in the target test content of the user is higher; correspondingly, if the value of the knowledge point mastery parameter of the user is smaller, the lower the mastery degree of the user on the knowledge point in the target test content is indicated. One or more knowledge points may be included in the content of the target test. Optionally, when the target test content includes a plurality of knowledge points, the user may have different mastery degrees of the knowledge points in the target test content.

In this embodiment, the user can answer each test question in the target test content to the maximum extent possible only if the user grasps the knowledge points included in the target test content as much as possible. Optionally, if the user has a higher mastery degree on the knowledge points contained in the target test content, the probability of answering each test question in the target test content is higher; if the user has a lower degree of mastery of the knowledge points included in the target test content, the probability of answering each test question in the target test content is lower.

In this embodiment, after obtaining the knowledge points included in the target test content and the grasping parameters of the user for the knowledge points in the target test content, a likelihood scoring result of the user for the target test content may be obtained according to the parameters. The likelihood scoring result of the target test content by the user can be understood as a prediction test result of the target test content by the user, which is obtained by representing the mastering parameters of the knowledge points by the user. It can be understood that the user's mastery parameter of the knowledge point is only an assumed parameter, not an actual value, and for this reason, the final result of the likelihood score of the user on the target test content is also only a predicted result, not an actual value.

In an optional manner of this embodiment, generating a likelihood scoring result of the target test content by the user according to each knowledge point included in the target test content and the grasp parameter of the user on each knowledge point may include the following S4021 to S4022:

s4021, determining knowledge point association information according to the association relationship between the target test content and the knowledge points included in the target test content.

In this embodiment, the target test content may include a plurality of knowledge points, and the investigation strength of the target test content to each included knowledge point may have a certain difference, so that the association relationship between the target test content and each knowledge point in the target test content may be different. The association degree of the knowledge points in the target test content and the target test content can reflect the investigation strength of the target test content on the knowledge points. The higher the association degree between the knowledge point in the target test content and the target test content is, the higher the investigation strength of the target test content on the knowledge point is, and the more important the knowledge point is in the target test content is shown; the smaller the association degree between the knowledge point in the target test content and the target test content is, the smaller the investigation strength of the target test content on the knowledge point is, which indicates that the knowledge point is less important in the target test content.

Illustratively, taking five knowledge points included in the target test content as an example, the target test content and the knowledge points included in the target test content are sorted in the descending order of the degree of association between the target test content and the knowledge points included in the target test content, and the sequence is as follows: the first knowledge point, the second knowledge point, the third knowledge point, the fourth knowledge point and the fifth knowledge point. As can be seen, the association degree between the knowledge point in the target test content and the target test content is the largest, at this time, the investigation strength of the target test content on the first knowledge point is the largest, and the user's mastery condition on the first knowledge point can seriously affect the final scoring result; the association degree of the knowledge point in the target test content and the target test content is minimum, at this time, the investigation strength of the target test content on the fifth knowledge point is minimum, and the user's mastering condition of the fifth knowledge point does not seriously affect the final grading result corresponding to the target test content.

Based on the above, the knowledge point association information may be determined according to the association relationship between the target test content and the knowledge points included in the target test content. The association relationship between each knowledge point in the target test content and the target test content can be accurately reflected through the knowledge point association information. Because the relation between the knowledge point and the target test content is established by the knowledge point associated information, a scoring result more fitting the actual test condition of the user can be generated subsequently according to the knowledge point associated information and the grasping parameters of the knowledge point by the user.

Further, in an optional manner of this embodiment, determining knowledge point association information according to an association relationship between the target test content and the knowledge points included in the target test content may include the following S4021a to S4021 b:

s4021a, determining knowledge point association feature vectors of each test question according to association relations between each test question and each knowledge point included in the target test content, wherein the association relations are specific to each test question included in the target test content;

s4021b, determining knowledge point association information between the target test content and each knowledge point contained in the target test content according to the knowledge point association feature vector of each test question.

In this embodiment, the target test content may include a plurality of test questions, and the knowledge point to be examined for each test question may be one or more. There may be some differences in the knowledge points to be examined for different test questions in the target test content. Taking any 2 test questions in the target test content as an example, the knowledge points to be investigated by the first test question are the first knowledge point and the second knowledge point, and the knowledge points to be investigated by the second test question may specifically be the first knowledge point and the second knowledge point, may specifically be other knowledge points except the first knowledge point and the second knowledge point, and may specifically be the first knowledge point and the third knowledge point. As can be seen, the knowledge points to be examined for different test questions in the target test content may be the same knowledge points, may be different knowledge points, or may have partially the same knowledge points.

In this embodiment, for each test question in the target test content, the association relationship between each test question and each knowledge point included in the target test content may be represented by considering each test question about each knowledge point included in the target test content. The investigation condition of any test question in the target test content to each knowledge point in the target test content can be understood as whether the user needs to use each knowledge point in the target test content when correctly answering any test question in the target test content. Optionally, the investigation condition of each test question in the target test content to each knowledge point in the target test content may be q_jkWherein q is_jkIt can indicate whether the user needs the known point k in the target test content when correctly answering the jth test question. For example, q_jk1 indicates that the user needs knowledge points k and q when correctly answering the jth test question_jk0 means that the user does not need the knowledge point k when answering the jth test question correctly.

In the present embodiment, after determining the examination of each test question in the target test content for each knowledge point in the target test content, the examination question is marked as "1" if it examines a certain knowledge point, and is marked as "0" if it does not examine a certain knowledge point, so that the association relationship between each test question and each knowledge point included in the target test content can be clarified according to the examination of each test question for each knowledge point in the target test content. Furthermore, the knowledge point association feature vector of each test question can be obtained according to the association relationship between each test question and each knowledge point included in the target test content. Illustratively, taking 5 knowledge points contained in the target test content as an example, a first knowledge point in the first test question review target test content is marked as "1", a second knowledge point in the first test question review target test content is marked as "1", a third knowledge point in the first test question review target test content is marked as "0", a fourth knowledge point in the first test question review target test content is marked as "0", and a fifth knowledge point in the first test question review target test content is marked as "1", so that the obtained knowledge point associated feature vector corresponding to the first test question is: [11001].

In the present embodiment, since the target test content may include a plurality of test questions, in order to facilitate statistics of the examination of each knowledge point for each test question in the target test content, each test question included in the target test content may be identified by using an ID. In addition, since the target test content may include a plurality of knowledge points, in order to distinguish different knowledge points statistically, each knowledge point included in the target test content may be identified by ID. After the knowledge point numbers are determined, the knowledge points can be quickly determined according to the knowledge point numbers according to the mapping relationship between the pre-created knowledge points and the knowledge point numbers.

In this embodiment, the target test content may include a plurality of test questions, and after determining the knowledge point association feature vector corresponding to each test question, a Q matrix for representing the association relationship between each test question and each knowledge point in the target test content may be established according to the knowledge point association feature vector corresponding to each test question in the target test content, and the Q matrix is used as the knowledge point association information between the target test content and each knowledge point included in the target test content. Each row of the Q matrix corresponds to each test question contained in the target test content, and each column of the Q matrix corresponds to each knowledge point contained in the target test content.

S4022, generating a likelihood scoring result of the user on the target test content according to the knowledge point association information and the knowledge point mastering parameters of the user.

In this embodiment, the knowledge point association information may be used to represent the investigation condition of the target test content on the knowledge points, and the user's grasp parameters on the knowledge points may be used to represent the user's grasp condition on the knowledge points in the target test content. On the premise of acquiring the parameters, a likelihood scoring result of the user on the target test content can be obtained according to the parameters. The likelihood scoring result of the target test content by the user can be understood as a prediction test result of the target test content by the user, which is obtained by representing the mastering parameters of the knowledge points by the user.

Further, in an optional manner of this embodiment, generating a result of likelihood scoring of the target test content by the user according to the knowledge point association information and the user' S grasp parameters of the knowledge points may include the following S4022a to S4022 c:

s4022a, acquiring knowledge point association feature vectors of each test question contained in the knowledge point association information for each test question contained in the target test content;

s4022b, determining a likelihood scoring result of each test question by the user according to the knowledge point associated feature vector of each test question and the mastering parameters of the user on each knowledge point included in the target test content;

s4022c, generating likelihood scoring results of the user on the target test content according to the likelihood scoring results of the user on each test question.

In the embodiment, for each test question in the target test content, the user can answer the test question accurately only if the user grasps the knowledge point to be investigated of the test question; if the user does not have the knowledge point to be investigated about the test question, the user may not be able to accurately answer the test question, and even if the answer is correct, the user may guess the correct answer accidentally. The knowledge point associated feature vector can be used for representing the investigation condition of each test question in the target test content on each knowledge point in the target test content, and the mastering parameters of the user on the knowledge points can be used for representing the mastering condition of the user on each knowledge point in the target test content.

In this embodiment, after determining the examination situation of each knowledge point in the target test content for each test question and the user's grasp of each knowledge point in the target test content, the user's grasp parameters of each knowledge point and the examination situation of each test question for each knowledge point in the target test content may be used to define one predicted answer result for each test question. Optionally, the knowledge point associated feature vector of each test question may adopt the investigation condition q of each test question to each knowledge point in the target test content_jkThe user's mastery parameters of each knowledge point in the target test content can be expressed by a_kIs shown as a_kAnd representing the grasping probability of the knowledge point k in the target test content. Based on the parameters, the user scores the likelihood of each test question in the target test content to obtain a result A_jThe method specifically comprises the following steps:

after the likelihood scoring result of each test question in the target test content is determined, the likelihood scoring result of each test question can be directly combined to generate the likelihood scoring result of the target test content by the user.

And S403, determining the value of the palm hold parameter according to the actual measurement grading result and the likelihood grading result of the target test content by the user, and taking the value as the prediction mastery degree of the user on each knowledge point in the target test content.

In this embodiment, the actual measurement scoring result of the target test content by the user is obtained by actually testing the actual grasping condition of each knowledge point in the target test content by the user, and the likelihood scoring result of the target test content by the user is obtained by predicting the grasping parameter of each knowledge point in the target test content by the assumed user.

In this embodiment, since both the actual measurement score result and the likelihood score result are obtained according to the user's grasp of each knowledge point, the actual measurement score result and the predicted likelihood score result should have the same or similar results. Based on the principle, after the actual measurement scoring result and the likelihood scoring result identified by the user through the grasping parameters of the knowledge points are obtained, the grasping parameters of the knowledge points in the likelihood scoring result can be reversely solved according to the principle that the actual measurement scoring result and the likelihood scoring result are similar or identical, and therefore the values of the grasping parameters obtained through reverse solving can be used as the grasping degree of the knowledge points in the target test content by the user.

In an optional manner of this embodiment, determining a value of the grasping parameter according to an actual measurement scoring result and a likelihood scoring result of the target test content by the user may include:

and minimizing the error between the actual measurement grading result and the likelihood grading result through a preset parameter optimization algorithm to obtain the value of the mastered parameter.

In this embodiment, an error between the actual measurement scoring result of the user on the target test content and the likelihood scoring result of the user on the target test content may be defined as: error ═ Σ | | X_j-A_j||². Wherein A is_jLikelihood scoring results, X, for the user on the jth to test questions in the target test content_jAnd (3) the actual measurement grading result of the jth test question in the target test content by the user, and error is the error between the actual measurement grading result of the target test content by the user and the likelihood grading result of the target test content by the user. Because when the error between the actual measurement scoring result of the user on the target test content and the likelihood scoring result of the user on the target test content is minimum, the deviation between the likelihood scoring result and the actual measurement scoring result can be considered to be minimum, and at this moment, A can be considered to be minimum_jA contained in (A)_kThe method is the most accurate mastery degree of the user on the knowledge point k in the target test content.

In this embodiment, according to the analysis, the error between the actual measurement scoring result and the likelihood scoring result may be minimized through a preset parameter optimization algorithm, so as to obtain a value of a grasping parameter included in the likelihood scoring result of the target test content by the user. Optionally, when the error between the actual measurement scoring result and the likelihood scoring result is minimized, a gradient descent method may be specifically adopted to perform error minimization on the error between the actual measurement scoring result and the likelihood scoring result, so as to obtain a value of a grasp parameter included in the likelihood scoring result.

S404, screening to obtain the predicted mastery degree of the user on the target knowledge point according to the predicted mastery degree of the user on each knowledge point in the target test content.

In this embodiment, the set of the determined user's mastery degrees of each knowledge point in the target test content includes not only the mastery degree of the target knowledge point but also the predicted mastery degrees of other knowledge points, from which the predicted mastery degree of the target knowledge point by the user can be obtained by filtering.

The embodiment of the invention also provides a determination scheme of knowledge point mastery, by adopting the technical scheme of the embodiment of the invention, the independent test of knowledge point mastery of a single user can be realized only by adopting the target test content data of the current user without the test content data of other users, so as to determine the mastery condition of the user on the knowledge point, and because the mastery parameters contained in the likelihood score result are reversely solved according to the actual measurement score result of the user on the target test content, and the value of the solved mastery parameters is taken as the mastery of the user on the knowledge point, the finally determined mastery of the user on the knowledge point can be ensured to fully reflect the actual mastery condition of the user on the knowledge point.

Fig. 5 is a block diagram of a device for updating the degree of knowledge point mastery according to an embodiment of the present invention, which is applicable to a case where the degree of knowledge point mastery of a user is updated in real time. The device can be implemented in software and/or hardware and integrated on any device with network communication function. As shown in fig. 5, the apparatus for updating the degree of knowledge point mastery provided in the embodiment of the present invention may include: a history mastery level determining module 501, a difficulty level determining module 502, and a history mastery level updating module 503. Wherein:

a historical mastery level determining module 501, configured to determine a current difficulty level of a target knowledge point if a pre-created knowledge point mastery level list includes the target knowledge point in the content of the target test;

a difficulty level determining module 502, configured to determine a historical mastery degree of the target knowledge point by the user, and determine a preset difficulty level corresponding to the historical mastery degree;

a historical mastery degree updating module 503, configured to update the historical mastery degree according to the current difficulty level of the target knowledge point and a corresponding preset difficulty level.

On the basis of the foregoing embodiment, optionally, the difficulty level determining module 502 may include:

a target associated information determining unit, configured to obtain target associated information corresponding to the target knowledge point according to an association relationship between the target knowledge point and the target test content;

and the current difficulty level determining unit is used for determining the current difficulty level of the target knowledge point according to the target association information and the difficulty level of the target test content.

On the basis of the foregoing embodiment, optionally, the target associated information determining unit may be configured to:

On the basis of the foregoing embodiment, optionally, the current difficulty level determining unit may be configured to:

determining a plurality of difficulty levels corresponding to the target knowledge point when the target knowledge point is inspected through each test question in the target test content according to the target association information and the difficulty level of each test question in the target test content; the target associated information represents the investigation condition of each test question in the target test content on the target knowledge point;

and selecting the difficulty level meeting the preset condition from the plurality of difficulty levels corresponding to the target knowledge point as the current difficulty level of the target knowledge point.

On the basis of the foregoing embodiment, optionally, the history grasp degree updating module 503 may include:

a first updating unit, configured to determine a predicted palm-holding degree of the user for the target knowledge point if it is detected that the current difficulty level of the target knowledge point is greater than or equal to a preset difficulty level corresponding to the historical mastery degree, and adjust the historical mastery degree according to the predicted mastery degree of the user for the target knowledge point;

and the second updating unit is used for adjusting the historical mastery degree according to the current difficulty level if the current difficulty level of the target knowledge point is detected to be smaller than the preset difficulty level corresponding to the historical mastery degree.

On the basis of the foregoing embodiment, optionally, the first updating unit may be configured to:

and if the test question answer to which the target knowledge point of the current difficulty level belongs is detected to be correct, replacing the historical mastery degree with the predicted mastery degree of the target knowledge point by the user.

On the basis of the foregoing embodiment, optionally, the second updating unit may be configured to:

and if the test question answer error of the target knowledge point of the current difficulty level is detected, adjusting the historical mastery degree according to the current difficulty level and preset adjusting strength.

On the basis of the above embodiment, optionally, the apparatus may further include:

an actual measurement result obtaining module 504, configured to obtain an actual measurement scoring result of the target test content including the target knowledge point by the user;

a likelihood result generating module 505, configured to generate a likelihood score result of the target test content by the user according to each knowledge point included in the target test content and a grasp parameter of the user on each knowledge point;

a mastery degree determining module 506, configured to determine, according to an actual measurement scoring result and a likelihood scoring result of the target test content by the user, a value of the mastery parameter as a mastery degree of the user on each knowledge point in the target test content;

and the mastery degree screening module 507 is configured to screen the predicted mastery degree of the user on the target knowledge point according to the mastery degree of the user on each knowledge point in the target test content.

The updating device of knowledge point mastery degree provided in the embodiment of the present invention can execute the updating method of knowledge point mastery degree provided in any embodiment of the present invention, and has the corresponding functions and beneficial effects of executing the updating method of knowledge point mastery degree.

Fig. 6 is a block diagram of a device provided in an embodiment of the present invention. The device in the embodiment of the present invention is described by taking a computer device as an example. As shown in fig. 6, the computer device provided in the embodiment of the present invention includes: a processor 610 and a memory 620, an input device 630, and an output device 640. The processor 610 in the computer device may be one or more, and fig. 6 illustrates one processor 610, and the processor 610, the memory 620, the input device 630, and the output device 640 in the computer device may be connected by a bus or other means, and fig. 6 illustrates the connection by a bus.

The memory 620 in the computer device, as a computer-readable storage medium, may be used to store one or more programs, which may be software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the method for updating knowledge point mastery provided in the embodiments of the present invention (for example, modules in an updating apparatus of knowledge point mastery shown in fig. 5, including a historical mastery determining module, a difficulty level determining module, and a historical mastery updating module). The processor 610 executes various functional applications and data processing of the computer device by executing software programs, instructions and modules stored in the storage 620, that is, updates of the knowledge point mastery in the above method embodiments are realized.

The memory 620 may include a storage program area and a storage data area, wherein the storage program area may store an application program required for operating the system, at least one function; the storage data area may store data created according to use of the device, and the like. Further, memory 620 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 620 can further include memory located remotely from the processor 610, which can be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The input means 630 may be used to receive numeric or character information input by a user to generate key signal inputs related to user settings and function control of the terminal device. The output device 640 may include a display device such as a display screen.

And, when one or more programs included in the above-described computer device are executed by the one or more processors 610, the programs perform the following operations:

and updating the historical mastery degree according to the current difficulty level of the target knowledge point and the corresponding preset difficulty level.

Of course, it will be understood by those skilled in the art that when one or more programs included in the computer device are executed by the one or more processors 610, the programs may also perform operations related to the method for updating the knowledge point mastery level provided in any embodiment of the present invention.

An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a method for updating a degree of knowledge provided in an embodiment of the present invention, where the method includes:

Of course, the storage medium containing the computer-executable instructions provided in the embodiments of the present invention is not limited to the above-described operation of the method for updating the knowledge point mastery degree, and may also perform related operations in the method for updating the knowledge point mastery degree provided in any embodiment of the present invention, and has corresponding functions and advantages.

From the above description of the embodiments, it is obvious for a person skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes instructions for enabling a computer device (which may be a robot, a personal computer, a server, or a network device) to execute the method for updating the knowledge base according to any embodiment of the present invention.

It should be noted that, in the above-mentioned updating apparatus for knowledge point mastery, each unit and module included in the apparatus is merely divided according to functional logic, but is not limited to the above division as long as the corresponding function can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.

It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.

In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions without departing from the scope of the invention. Therefore, although the present invention has been described in more detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for updating knowledge point mastery degree is characterized by comprising the following steps:

if the pre-established knowledge point mastery degree list contains the target knowledge point in the target test content;

obtaining target association information corresponding to the target knowledge point according to the association relationship between the target knowledge point and the target test content;

selecting a difficulty level meeting a preset condition from a plurality of difficulty levels corresponding to the target knowledge point as a current difficulty level of the target knowledge point;

2. The method according to claim 1, wherein obtaining target association information corresponding to the target knowledge point according to an association relationship between the target knowledge point and the target test content comprises:

3. The method of claim 1, wherein updating the historical degree of mastery based on the current difficulty level of the target knowledge point and a corresponding preset difficulty level comprises:

if the current difficulty level of the target knowledge point is detected to be larger than or equal to the preset difficulty level corresponding to the historical mastery degree, determining the predicted mastery degree of the target knowledge point by the user, and adjusting the historical mastery degree according to the predicted mastery degree of the target knowledge point by the user;

and if the current difficulty level of the target knowledge point is smaller than the preset difficulty level corresponding to the historical mastery degree, adjusting the historical mastery degree according to the current difficulty level.

4. The method of claim 3, wherein adjusting the historical mastery level in accordance with the user's predicted mastery level of the target knowledge point comprises:

if the test question answer to which the target knowledge point of the current difficulty level belongs is detected to be correct, replacing the historical mastery degree with the predicted mastery degree of the target knowledge point by the user;

correspondingly, adjusting the historical mastery level according to the current difficulty level includes:

5. The method of claim 3, wherein determining the user's predicted mastery of the target knowledge point comprises:

acquiring an actual measurement grading result of a user on target test content containing a target knowledge point;

generating a likelihood scoring result of the target test content by the user according to each knowledge point included in the target test content and the mastering parameters of the user to each knowledge point;

determining the value of the mastery parameter according to the actual measurement grading result and the likelihood grading result of the target test content by the user, wherein the value is used as the mastery degree of the user on each knowledge point in the target test content;

and screening to obtain the predicted mastery degree of the user on the target knowledge point according to the mastery degree of the user on each knowledge point in the target test content.

6. An apparatus for updating a degree of knowledge of a point, comprising:

the historical mastery degree determining module is used for determining whether a pre-established knowledge point mastery degree list contains a target knowledge point in target test content; obtaining target association information corresponding to the target knowledge point according to the association relationship between the target knowledge point and the target test content; determining a plurality of difficulty levels corresponding to the target knowledge point when the target knowledge point is inspected through each test question in the target test content according to the target association information and the difficulty level of each test question in the target test content; the target associated information represents the investigation condition of each test question in the target test content on the target knowledge point; selecting a difficulty level meeting a preset condition from a plurality of difficulty levels corresponding to the target knowledge point as a current difficulty level of the target knowledge point;

and the historical mastery degree updating module is used for updating the historical mastery degree according to the current difficulty level of the target knowledge point and the corresponding preset difficulty level.

7. An electronic device, characterized in that the device comprises:

one or more processors;

storage means for storing one or more programs;

when executed by the one or more processors, cause the one or more processors to implement the method for updating knowledge point mastery recited in any one of claims 1 to 5.

8. A computer-readable storage medium on which a computer program is stored, characterized in that the program, when executed by a processor, implements the method for updating the degree of knowledge grasp of any one of claims 1 to 5.