TWI640951B - Method and system for analyzing learning status of learner and selecting complementary problem corresponding to learning status - Google Patents

Abstract

The present invention provides a method for analyzing a learning state of a learner and selecting a supplementary subject corresponding to the learning state. According to an embodiment of the present disclosure, a method for analyzing a learning state of a learner and selecting a supplementary topic corresponding to the learning state includes: selecting one of the learner based on the result of the problem to select a learner Replenishing at least one attribute required; and selecting a supplementary question for supplementing the learning state of one of the learners based on the selected at least one attribute.

Description

Method and system for analyzing learner's learning state and corresponding learning state to select supplementary topics Cross-references to related applications

The present application claims the benefit of the benefit of the benefit of the benefit of the benefit of the benefit of the benefit of the benefit of the benefit of the benefit of the benefit of the benefit of the benefit of the disclosure of the disclosure of

Field of invention

The present invention relates to a method and system for analyzing a learner's learning state and corresponding learning states to select supplementary topics, and more particularly to a method for selecting at least one attribute required for supplementation with respect to a learner and based on The selected attributes are used to select methods and systems for supplementing the learner's learning abilities.

Background of the invention

The problem solving method is one of the most widely used methods for judging the degree of understanding of the learned knowledge or for evaluating the learning achievement after the learner newly learns the knowledge. In addition to judgment or evaluation, the method of solving the problem can give the learner the opportunity to find the deficiency to provide the learner with a supplement. The opportunity for the shortfall.

For example, some workbooks provide a supplement to the answer that is based on which concept and/or which unit to use for each topic, thereby enabling the learner to refer to and supplement the answer.

Therefore, after solving the problem, the learner can verify the insufficient concept or the insufficient unit in the subject, wherein the incorrect answer is selected from the concept or unit information related to the subject.

Recently, based on the results of the learner's problem, a service for providing additional questions to learners to improve the learner's ability is being tried.

Summary of invention

By observing a typical service, when a learner selects an incorrect answer with respect to a particular topic, the typical service merely and additionally provides the learner with a predetermined topic that is similar to a particular type of topic.

And, because the learner picks the answer through the subject solution process consisting of multiple steps, various incorrect answers can occur according to the incorrect steps between the multiple steps during the subject solution process. However, when additional topics are provided in the type of the subject pool or the type of the subject list, the learner can increase the adaptability to the subject in which the incorrect answer is selected and the similar subject, but the learning method is not used to solve the learning. The basic remedy for the shortcomings of the person.

Therefore, in order to solve the above technical problem, the object of the present disclosure is to provide a learning state for analyzing a learner and a corresponding learning state. A method and system for supplementing a subject can be selected, and the method and system can determine the learner's learning state at various levels and viewpoints to select a supplemental topic that is optimal for the learner.

Another object of the present disclosure is to provide a method and system for analyzing a learner's learning state and a corresponding learning state to select a supplementary topic, the method and system capable of providing a learner with a basic concept and an applied subject as supplementary topics. Various types of topics are provided to substantially solve the problem of the learner's deficiency rather than merely providing a topic similar to the type in which the incorrect answer is selected.

The object of the present disclosure is not limited to the above-described objects, and other objects not mentioned above will be clearly understood by those skilled in the art from the following description.

According to an embodiment of the present disclosure, a method for analyzing a learner's learning state and a corresponding learning state to select a supplementary topic includes: selecting at least one attribute required for supplementation with respect to the learner based on the learner's problem solving result; A supplementary topic for supplementing the learning state of the learner is selected based on the selected at least one attribute.

According to the above disclosure, the following effects can be obtained, but are not limited thereto.

First, based on the learner's problem solving result, the attributes required for supplementation with the learner are selected to relatively and accurately determine the learner's learning state so as to provide a supplemental topic that is optimal for the learner.

Second, various topics including basic conceptual issues and applied topics can be provided as supplementary topics to learners so that learners can basically solve problems. It is not enough to provide a topic similar to a type of subject in which an incorrect answer is chosen.

Thirdly, by considering the cumulative problem solving results of the learners as a whole, the learner can be provided with supplementary questions that the learner has a high possibility to select an incorrect answer but still has not solved, and then give the learner a pre-verification of the deficiency. Part of the prevention opportunity.

Fourth, the learner's learning state can be analyzed by considering not only the learner's problem solving result but also the subject solution request (that is, the prompt of the subject that the learner thinks is difficult to solve or curiose alone). Supplementary topics corresponding to the learning state can be selected to provide additional topics that are more applicable to the learning state of the learner.

S100~S200‧‧‧ operation

10‧‧‧Learner terminal

20‧‧‧ system

21‧‧‧Additional attribute selection unit

22‧‧‧Additional Question Selection Unit

510‧‧‧ Question

520‧‧‧Model solution

530‧‧‧Results

540‧‧‧Additional Questions

(a)~(d)‧‧‧

The above and other objects, features and advantages of the present invention will become more apparent to those skilled in the <RTIgt 1 is a flowchart of a method for analyzing a learner's learning state and a corresponding learning state to select a supplementary topic according to an embodiment of the present invention; FIG. 2 is a flowchart for describing operation S100 of FIG. 1; FIG. 4 is a schematic block diagram of a system for analyzing a learner's learning state and a corresponding learning state to select a supplementary topic according to an embodiment of the present invention; and FIG. FIG. 5 is a diagram exemplarily showing a service screen provided to a learner in accordance with another embodiment of the present invention.

Detailed description of the preferred embodiment

Hereinafter, preferred embodiments of the present disclosure will be described in detail with reference to the accompanying exemplary drawings. The advantages, features, and implementations of the preferred embodiments will be apparent from the following detailed description. However, the invention is not limited to the embodiments disclosed herein, and many other modifications can be implemented. While the invention has been described with respect to the embodiments of the present invention, it is understood that many modifications and embodiments may be made by those skilled in the art, which are within the spirit and scope of the principles of the disclosure. The scope of the invention should be analyzed by the scope of the appended claims and the full scope of the equivalents of such claims. Throughout the given reference numerals to the components of the present disclosure, the same reference numerals are given to the same components. Throughout the specification, the same reference numerals refer to the same parts.

Unless otherwise defined, all terms including technical or scientific terms used herein have the same meaning as commonly understood by those skilled in the art. The general terms defined in the dictionary should be interpreted as having a consistent meaning in the context of the related art, and should not be interpreted as idealistic or excessive formalism unless otherwise explicitly defined in this application. meaning.

The terms used herein are not to be taken as limiting the meaning of the technical concept of the present disclosure but to explain the embodiments. In the following description, singular forms include the plural, unless otherwise defined. Unless in this application The term "comprise" and / or "comprising" is used to indicate the presence of the component, but does not exclude the presence of other components and should be construed as further including other components.

Hereinafter, a method for selecting a learner's learning state and a corresponding learning state to select a supplementary subject according to an embodiment of the present invention will be described with reference to the accompanying drawings.

Hereinafter, with reference to FIGS. 1 through 3, a method for analyzing a learner's learning state and a corresponding learning state to select a supplementary subject according to an embodiment of the present invention will be described. Referring to FIG. 1, a flowchart of a method for analyzing a learner's learning state and a corresponding learning state to select a supplementary topic according to an embodiment of the present invention is shown. Referring to FIG. 2, it is shown to describe the operation S100 of FIG. Flowchart; and with reference to Figure 3, which shows a conceptual diagram for describing the ranking of achievement evaluations relative to learners. According to the method for analyzing a learner's learning state and the corresponding learning state to select a supplementary question according to an embodiment of the present invention, the attribute required for the supplement with respect to the learner may be selected based on the learner's problem solving result, and Supplementary topics for supplementing the learner's learning ability can be selected based on the selected attributes. That is, according to the method according to the present embodiment, the learning state of the learner can be determined in detail to grasp the insufficient part of the learner, and the supplementary subject for the learner can be selected based on the determined learning state so that the learner can Supplement its shortcomings.

Therefore, the method for selecting a learning state of the learner and selecting a supplementary subject according to the present embodiment according to the present embodiment may be a self-evolution learning. In other words, it can be made by the learning method according to the present embodiment The learner is able to analyze the learning results on his own to derive a program for improving the learner's ability from the analysis of the learning results as a subject of adaptation.

Such a method for analyzing a learner's learning state and a corresponding learning state to select a supplementary subject can be performed by a system implemented as a server and the like, and can be provided to the user's terminal via the method according to the present embodiment. The supplementary topic is not limited to this.

Here, the attribute is related to the subject, and can be defined as a specific target for solving the problem by the examiner through the evaluation factor of the subject evaluation or the learner needs to solve the problem, but is not limited thereto. For example, an attribute may be a concept of using or learning from a related topic, a learner's ability (eg, memory ability, comprehension ability, application ability, etc.), a target unit, or a specific word or expression constituting the subject, but is not limited thereto. And, in addition, if the attribute corresponds to the above definition, there is no limit.

However, the attributes can be extended and understood in comparison with the above description, and for example, when the two concepts should be combined, the relationship between the two concepts can also be a single attribute in order to solve a specific problem.

Hereinafter, a method for selecting a learning state of a learner and a corresponding learning state to select a supplementary topic according to the present embodiment will be described in detail.

First, referring to FIG. 1, in operation S100, an attribute required for supplementation may be selected based on the result of the learner's problem solving. In detail, based on the learner's problem solving result, at least one attribute required for supplementation with the learner can be selected.

In order to achieve this, information on the solution to the learner's subject and information on the learner's subject will be received in advance. The information of the solution is compared with the correct answer information about each subject, and the operation of extracting the result of the learner's problem is performed, but is not limited thereto.

In operation S100, in order to select at least one attribute required for the supplement of the learner based on the result of the learner's problem solving, the learner's problem solving result may be used to evaluate the learner's achievement relative to the evaluable attribute, and Based on the results of such evaluations, the attributes required for the supplement are identified. In this regard, operation S100 will be described in detail with reference to FIG.

First, referring to FIG. 2, in operation S110, the achievement of each attribute of the learner as a target of the problem solution related to the subject can be evaluated based on the result of the problem solving by the learner.

Here, the assessment of the learner's achievement relative to each attribute may be the digitization of the learner's achievement (or understanding), and for example, the learner's achievement relative to the particular attribute may be determined to be predetermined. One of the plurality of classifications is digitized to correspond to the score of the determined classification, but is not limited thereto. Moreover, the learner's achievement evaluation can be performed with respect to all the attributes that can be evaluated by the subject solution, and in detail, can be performed with respect to each attribute related to the subject as a target of the problem solution. Achievement evaluation.

That is, in operation S110, the learner's achievement can be evaluated with respect to all of the evaluable attributes so that the attributes necessary for picking the supplement with respect to the learner can be obtained in the following operations to be described. basic information.

In detail, based on the lesson of the learner relative to multiple choice topics The problem solving result can evaluate the learner's achievement relative to each attribute related to the particular subject that the learner uses for his or her choice.

However, the method for selecting a learner's learning state and the corresponding learning state to select a supplementary subject according to the present embodiment does not adopt a simple method in which, in relation to the correct answer/incorrect answer according to the learner, Each attribute is used to evaluate the learner's achievements. When the method employs this simple approach and a particular topic is related to multiple attributes, multiple attributes can always be evaluated to have the same achievement, such that it may not be possible to discern where the learner does not understand other attributes from the learner. The situation understands the situation of an attribute.

Therefore, as described above, the method for selecting a supplementary subject by analyzing the learning state of the learner and the corresponding learning state according to the present embodiment can evaluate the learner's achievement with respect to each attribute related to the specific subject as, for example, Two or more categories of learner choices, but the number of categories is not limited to this.

To achieve this goal, when a particular topic is related to a single attribute, the choice of a particular topic may include a correct answer selection, an incorrect answer selection when the self-learner misunderstands a single attribute, and a self-learner who makes a simple calculation error. Incorrect answer selection, incorrect answer selection without meaning, etc., but not limited to this.

In this case, according to the learner's choice, the learner's achievement evaluation value relative to the attribute related to the specific subject can be divided into two or more categories.

In addition, when a specific topic is related to two or more attributes, The choices for a particular topic may include the correct answer selection, the incorrect answer selection from the self-learner's misunderstanding of the first attribute, the incorrect answer selection from the self-learner's misunderstanding of the second attribute, and the self-learner's misunderstanding. The incorrect answer selection when the first and second attributes are selected, the incorrect answer selection when the self-learner makes a simple calculation error, the incorrect answer selection without meaning, etc., but is not limited thereto.

In this case, according to the learner's choice, the learner's achievement evaluation value relative to the first attribute related to the specific subject and the learner's achievement evaluation value relative to the second attribute related thereto may be distinguished. Classified for two or more.

In particular, when selecting an incorrect answer selection that is derived when the self-learner misunderstands the first attribute, the learner does not misunderstand the second attribute so that the learner's achievement evaluation value relative to the first attribute related to the specific subject may be Less than the learner's achievement rating relative to the second attribute associated with it. Therefore, in the method for selecting a supplementary subject of the learning state of the learner and the corresponding learning state according to the present embodiment, even if the specific subject is related to a plurality of attributes, the difference in the learner's achievement with respect to each attribute is also Achievements that can occur in order to be associated therewith can be clearly determined.

For example, referring to FIG. 3, when a specific topic is related to a plurality of attributes, the achievement evaluation value of the learner relative to the plurality of attributes related to the specific subject may be classified into four categories according to the learner's choice. Here, specific problems related to the first to third attributes are exemplified, but are not limited thereto.

First, when selecting the correct answer selection, it can be determined that the learner correctly understands the plurality of attributes including the first to third attributes so as to be included with respect to The achievement evaluation values of the plurality of attributes of the first to third attributes are also given as the first classification.

And, when selecting an expected incorrect selection that is elicited when the learner misunderstands the first attribute, it can be determined that the learner misunderstands the first attribute and correctly understands the second and third attributes. Thus, the achievement score of the second category can be given a first attribute associated with the expected incorrect selection, and the achievement score of the third category can be given a second that is not targeted by the unintended incorrect selection. And the third attribute.

Finally, when selecting an incorrect choice that does not have meaning, it may be determined that the learner misunderstands the first to third attributes so that the achievement score of the fourth category can be equally given to include the first to third attributes. Attributes.

Here, the first classification and the third classification are classifications given to the correctly understood attributes, but the scores corresponding to the first classification and the third classification may be different from each other, and the second classification and the fourth classification are given to the incorrect understanding. The classification of attributes, but the scores corresponding to the second category and the fourth category may be different from each other. Therefore, an exact achievement assessment relative to each attribute may be possible.

Alternatively, in some embodiments, the correctly understood attributes may be given the same classification (first category = third category), and the incorrectly understood attributes may be given the same category (second category = fourth category) , but the two are not limited to this.

Meanwhile, when there is a problem solution with respect to a subject set including a plurality of topics, the learner's achievement evaluation with respect to each attribute can be performed in two stages. First, in each of a number of topics, The learner's achievements are evaluated for each attribute associated with each subject, and then the achievement evaluation values for the same attributes relative to the subject set are accumulated and managed, but are not limited thereto.

In other words, by accumulating and appraising the achievement of each attribute of the learner as a target of the problem solution related to the subject based on the problem solving result of the learner relative to the subject set, it is possible to compare with the subject unit Each of the attributes manages the learner's achievements, but is not limited thereto, and in an embodiment to be described later, the learner's relative to each attribute may be managed in a subject set unit having a plurality of instalments Achievements.

Here, if a plurality of problems are included in the subject, there is no limitation on the subject set. For example, the research group may be edited in one of the sections such as the National University Academic Proficiency Test Paper, but is not limited thereto, and the plurality of topics selected for analysis may be a collection of topics, and in addition, a plurality of topics that have been learned by the learner may be A single subject set.

Meanwhile, for convenience of description, although a method for analyzing a learner's learning state and a corresponding learning state to select a supplementary topic has been described by mainly focusing on a mathematical subject or a subject set including a mathematical subject, it may not be applied. In order to select only a mathematical problem, and it may be obvious to those skilled in the art, the method for selecting a learning subject and analyzing the learning state according to the present embodiment for selecting a supplementary subject is applicable to, for example, Korean, English, and the like. A variety of topics, and also apply to a variety of subject matter other than the course.

Also, referring to FIG. 2, at operation S120, at least one attribute required for supplementation with respect to the learner may be selected based on the evaluation.

In detail, the attribute satisfying the predetermined selection criteria may be selected as a supplementary attribute according to the evaluation result. For example, a reference achievement rating relative to a learner's criteria that becomes necessary to determine supplementation may be determined for a predetermined selection criterion, and when the learner's achievement rating relative to a particular attribute is less than the corresponding reference achievement rating For values, specific attributes can be categorized and selected to complement the required attributes. However, the predetermined selection criteria for selecting at least one attribute required for the supplement may not be limited thereto.

Meanwhile, in some embodiments, the operation S100 for selecting at least one attribute required for supplementation with respect to the learner based on the learner's problem solving result may be selected for the learner based problem solving result relative to the learner The step of supplementing at least one predetermined number of attributes required.

To achieve this, when the number of attributes required for the supplement is greater than the predetermined number, there may be criteria for selecting the priority in order to pick as many attributes as the predetermined number. For example, it is possible to select as many attributes as the predetermined number in the ascending order of the learner's achievement evaluation value, but is not limited thereto.

Thereafter, referring to FIG. 1, in operation S200, a supplementary topic may be selected based on the selected attribute. In particular, supplementary topics for supplementing the learner's learning ability can be selected based on the selected attributes.

For example, the supplemental topic may be selected to include topics related to only one of the selected attributes, topics related to one of the selected attributes and non-selected attributes, and topics related to the combination of the selected attributes. At least one of them, and if the supplementary topic of the selected attribute is selected, it is not limited to this.

When the selected attribute required for the supplement is plural, the selected attribute Only one of the related topics may be a reference topic related to a single attribute. That is, the conceptual problem for clearly supplementing a part with respect to a single attribute may be an example of the above-mentioned reference subject, but is not limited thereto. Such reference topics can be absolutely supplemented for a single attribute, but the level of difficulty may not be high.

When selecting multiple attributes required for supplementation, one of the selected attributes and the subject related to other attributes than the selected attribute may be an extended subject. For example, since the extended subject is a subject that is related to one of the selected attribute and the non-selected attribute, the learner can perform the selected attribute by solving the various application problems of the selected attribute through the extended subject. Supplement. Because such extended topics are mixed with various attributes, the level of difficulty can be higher than the difficulty level of the reference subject. However, the extended subject matter is not limited to being associated with one of the selected attributes and one of the non-selected attributes, and may be associated with one of the selected attributes and a plurality of non-selected attributes.

At the same time, when selecting a plurality of attributes required for supplementation, the subject related to the combination between the selected attributes may be a utilization subject. Because such a utilization topic is mixed with a plurality of attributes having low achievement of the learner, the difficulty level can be higher than the difficulty level of the reference subject.

As described above, according to the method for selecting a supplementary subject for analyzing the learning state of the learner and the corresponding learning state according to the present embodiment, the learner can be provided with an effective and various supplementary questions for supplementing the learner's learning ability. . In particular, it may be possible to provide learners with various extensions and utilization topics for further in-depth supplementation.

At the same time, according to some embodiments, when the learner's incorrect answer rate is as high as the learner's problem solving result (that is, the study of many subjects) The student's incorrect answer), the ratio of reference subjects with relatively low difficulty levels can be increased in the process of selecting supplementary topics for supplementing learning ability, and otherwise, when the learner's incorrect answer rate is low, it is relatively difficult. The ratio of the level of the subject can be increased in the process of selecting supplementary topics for supplementing the learning ability, but is not limited thereto.

In addition, according to several embodiments, when the learner makes an error in the problem solving result of the learner on the low difficulty level topic, the ratio of the reference subject is added in the process of selecting the supplementary subject to supplement the learner's learning ability, so that it is possible to be reliable. Get the supplement for less qualified attributes.

Therefore, according to a method for selecting a supplementary subject for analyzing a learner's learning state and a corresponding learning state according to the present embodiment, it may be possible to select a supplementary subject suitable for the learner's learning state.

Hereinafter, a method for selecting a learner's learning state and a corresponding learning state to select a supplementary topic according to the second embodiment of the present disclosure will be described. However, differences in the method for analyzing the learner's learning state and the corresponding learning state to select supplementary topics according to one embodiment of the present disclosure will be mainly described.

The method for selecting a learning state of a learner and selecting a supplementary subject corresponding to a learner state according to the second embodiment of the present disclosure can be applied to a case in which learning has been performed with respect to a plurality of partial subject sets. Solution for the subject.

Referring to FIG. 1, at least one attribute required to select a supplement with respect to a learner based on a result of the learner's problem solving in operation S100 may be selected for at least a part of the learner-based problem solving result. The operation of at least one attribute required by the learner's supplement.

Here, when the attribute required for the supplement is selected based on the result of the problem solving by the learner with respect to the plurality of parts, the information about the problem solution for the subject of the learner with respect to the new part can be received in advance. And the result of solving the problem with respect to the new part, and the problem solving result of the subject set of the learner with respect to the past part other than the new part can be stored in advance, but it is not limited to this.

Specifically, in the selection of a plurality of attributes required for complementing the learner based on at least a part of the problem solving results of the subject set with respect to the plurality of parts, the selected part of the subject is selected from the new part. The ratio between the attributes required for the supplementation and the attributes required for the supplements selected based on the results of all the problem solving solutions with respect to the plurality of parts can be adjusted.

In detail, the selection may be based on at least a part of the attributes required by the problem solving result of the learner relative to the new part, and based on the plurality of parts. The problem solving result is a selection of at least a part of the attributes required for supplementation with the learner.

Therefore, according to the method for selecting a supplementary subject for analyzing a learner's learning state and a corresponding learning state according to the present embodiment, since the ratio of the fragile attribute in the recent date is increased to effectively supplement the learner's learning ability, and also considering Fragile attributes in past dates, so a comprehensive complement to learning ability may be possible.

Hereinafter, with reference to FIG. 4, one according to the present disclosure will be described. A system for analyzing a learning state of a learner and selecting a supplementary question corresponding to the learning state in the embodiment. However, the description disclosed in the method for analyzing the learner's learning state and the corresponding learning state to select a supplementary subject according to one embodiment of the present disclosure will be omitted. Referring to FIG. 4, a schematic configuration of a system for analyzing a learning state of a learner and selecting a supplementary topic corresponding to the learning state is illustrated.

In a system 20 for analyzing a learning state of a learner and selecting a supplementary subject in accordance with an embodiment of the present disclosure, a learning state for analyzing a learner according to an embodiment of the present disclosure and A method of selecting supplementary topics in response to the learning state. To achieve this, the system 20 according to the present embodiment can receive the problem solving result of the learner from the learner terminal 10 and provide the learner terminal 10 with a supplementary subject selected to supplement the learning ability of the learner, but is not limited thereto, and The system 20 according to the present embodiment can receive the problem solving result of the learner in various methods and provide various information to the learner terminal 10.

Referring to FIG. 4, the system 20 according to the present embodiment may include a supplementary attribute selecting unit 21 and a supplementary question selecting unit 22.

First, the supplementary attribute selection unit 21 may select at least one attribute required for supplementation with respect to the learner based on the learner problem solving result. In detail, the supplementary attribute selecting unit 21 can evaluate the learner's achievement with respect to each attribute related to the target subject based on the learner's problem solving result, and select the supplement with respect to the learner based on the evaluation result. At least one attribute, but is not limited to this.

And, the supplementary question selection unit 22 can pick based on the selected attribute. Select a supplementary topic.

Therefore, according to the system for selecting a supplementary subject for analyzing the learning state of the learner and the corresponding learning state according to the present embodiment, it is possible to select a supplementary subject to be applied to the learning state of the learner.

In the following, according to another embodiment of the present disclosure, reference will be made to a method for providing a model solution in response to a problem solution request from a learner and analyzing the result based on a problem solution request from a learner or a solution thereof The learning state of the learner selects a system to supplement the subject in accordance with the learning state.

In accordance with another embodiment of the present disclosure, system 20 can further include a subject solution providing unit (not shown).

First, in response to a subject matter solution request obtained by a self-learner with respect to at least one subject, a subject solution providing unit according to another embodiment of the present disclosure can be used to provide a model solution with respect to a corresponding subject.

In particular, according to another embodiment of the present disclosure, a problem solved by a self-learner can be transmitted between the learner terminal 10 and the system 20 via a social network service (SNS) (eg, KakaoTalk, Facebook, etc.). The model solution requested or provided to the solution.

Moreover, in accordance with another embodiment of the present disclosure, the subject matter solution request obtained from the learner may include an image resulting from at least one target subject requested by the subject matter solution. For example, the learner can shoot for himself (or herself) a problem that is difficult to solve alone or the learner wants to receive a model solution for, and upload the captured image via SNS. The subject matter solution request relative to the subject is transmitted to the system 20 in accordance with the present disclosure.

Moreover, in accordance with another embodiment of the present disclosure, the model solution provided in response to a request from a learner's subject matter solution can be a solution made by a qualified teacher. For example, a model solution provided in response to a request from a learner's subject solution may be a model solution that is prepared in real time by a qualified teacher or pre-made by a qualified teacher for storage in a database.

In addition, according to another embodiment of the present disclosure, the learner can make a problem solution request with respect to a certain subject and also solve a certain problem by itself, and thus, the supplementary attribute selecting unit 21 described later can learn with respect to the subject. The problem solving results obtained information.

Then, according to another embodiment of the present disclosure, the supplementary attribute selecting unit 21 may select at least one attribute required for supplementation with respect to the learner based on the subject solution request from the learner and the question solving result of the learner. In detail, the supplementary attribute selecting unit 21 can evaluate the target subject of the learner's request and the problem solving based on at least one of the problem solution request from the learner and the problem solving result of the learner. At least one of the target issues associated with the program request is associated with each attribute achievement, and at least one attribute required for supplementation with respect to the learner is selected based on the evaluation result.

Thereafter, according to another embodiment of the present disclosure, the supplemental topic selection unit 22 may select a supplementary topic based on the selected attribute.

At the same time, it has been fully described above with respect to the selection of supplementary genera A detailed description of the methods of sexual and supplementary topics, and thus, a detailed description thereof will be omitted.

Therefore, according to the system 200 according to another embodiment of the present disclosure, the learner's problem solving result is considered and the learner's subject solution request is also considered (that is, relative to the learner's view that it is difficult to solve or curious alone) The problem of the subject) can analyze the learning state of the learner and select a supplementary question corresponding to the learning state, so as to provide a supplementary topic that is more suitable for the learning state of the learner.

FIG. 5 is a diagram exemplarily showing a service screen provided to a learner in accordance with another embodiment of the present invention.

First, referring to FIG. 5(a), a learner can use a camera provided at the learner terminal 10 to photograph a subject 510 that the learner finds difficult to solve or curious about the model solution alone to request a model solution relative to the subject 510. provide.

Next, referring to FIG. 5(b), the system 20 according to another embodiment of the present disclosure can provide a model solution 520 to the learner terminal 10 in response to a topic solution request from a learner, the model solution 520 being qualified Made by teachers and similar personnel.

Moreover, referring to FIG. 5(c), the system 20 according to another embodiment of the present disclosure can provide the evaluation result 530 to the learner terminal 10 with respect to the learning state of the learner, and the evaluation result 530 is derived from the learner. Project solution request. For example, the results of the evaluation relative to the learning state of the learner may include information relating to achievements related to each attribute related to the subject, supplementing the required attributes, and the like.

Next, referring to FIG. 5(d), the system 20 according to another embodiment of the present disclosure may select a supplementary topic 540 with respect to the attribute required for supplementation based on the evaluation result of the learner's learning state to learn. The terminal 10 provides a supplementary question 540.

While the embodiments have been described with reference to the embodiments of the present invention, it is understood that many modifications and embodiments can be made by those skilled in the art, which are within the spirit and scope of the principles of the disclosure. Therefore, the above embodiments are to be considered as illustrative and not restrictive.

Claims (7)

A method for analyzing a learning state of a learner and selecting a supplementary topic corresponding to the learning state, the method comprising: selecting at least one required for supplementing the learner based on a solution result of the learner An attribute; and a supplementary subject selected to supplement one of the learning states of the learner based on the selected at least one attribute; wherein at least one of the learner's supplementary results is selected based on the one of the learner's problem solving results An attribute step includes: evaluating an achievement of the learner relative to each attribute related to a target topic based on the problem solving result of the learner; and selecting, based on the evaluation result, the relative to the learner Replenishing at least one attribute required; wherein the step of evaluating the learner's achievement relative to each attribute associated with a target subject based on the learner's solution result includes: based on the learner's relative Solving results in one of a number of selected topics, based on one of the options selected by the learner for a particular topic, Evaluating the learner's achievement with respect to one of each attribute associated with the particular subject; and evaluating the learner's relative to the two or more categories based on the learner's problem solving result An achievement of each attribute associated with the target subject; wherein the result of the solution based on the subject of the learner evaluates the learner's achievement relative to each attribute associated with the target subject in two or more categories The specific subject in the step is related to the first to third attributes; wherein when a correct answer option is selected, the achievement score of the first category is equally given to the first to third attributes; When the learner incorrectly understands that an expected incorrect option derived from the first attribute associated with the particular subject is selected, the achievement score of the second category is given to the first item associated with the expected incorrect option An attribute, and a third category of achievement evaluation values are given to the second and third attributes that are not targeted by an unexpected incorrect option; wherein when an incorrect option with no meaning is selected, The classification achievement achievement value is similarly given to the first to third attributes; wherein the first category and the third category achievement evaluation value are different from each other, and the second category and the fourth category achievement evaluation are The values are different from each other. The method of claim 1, wherein the step of evaluating the learner's achievement with respect to each attribute related to the target subject based on the learner's problem solving result is based on the learner's relative to one One of the problem sets solves the problem to cumulatively evaluate the learner's achievement with respect to each attribute associated with the target topic. The method of claim 1, wherein the step of selecting at least one attribute required for the supplement of the learner based on the evaluation result is based on the evaluation result, selecting one of the attributes of the predetermined selection reference as a supplementary Need one of the attributes. The method of claim 1, wherein the step of selecting at least one attribute required for the supplement of the learner based on the result of the one of the learners is selected based on the result of the problem of the learner At least one predetermined number of attributes required by the learner's implementation. The method of claim 1, wherein the step of selecting at least one attribute required for supplementation with respect to the learner based on the result of the problem solving by the learner is based on the subject set of the learner relative to the plurality of parts The subject solves at least a portion of the results to select at least one attribute required for supplementation with the learner. The method of claim 5, wherein the step of selecting at least one attribute required for supplementation with respect to the learner based on at least a portion of the subject solution result of the learner relative to the plurality of parts includes: Selecting at least a portion of the attributes required for supplementation with respect to the learner based only on a problem solving result of the learner relative to a set of topics of a new portion; or based on the plurality of portions relative to the plurality of portions All the problem solving results of the subject set select at least a part of the attributes required for the learner's implementation plan. The method of claim 1, wherein the supplementary subject in the step of selecting the supplementary question for supplementing the learning state of the learner based on the selected attributes is selected to include at least one of the following subjects One: one of the topics associated with only one of the selected attributes, one of the selected attributes, and one of the attributes other than the selected attributes, and the A topic related to the selection of a combination of attributes.