KR20200106360A - Learning service providing method and server - Google Patents

Abstract

Disclosed are a method and a server for providing a learning service. The method for providing a learning service comprises the following steps of: (a) forming and providing an evaluation question set for a n^th (natural number) branch; and (b) determining a learning type according to an evaluation result based on user answers to the evaluation question set of the n^th branch, and dynamically forming and providing a learning set of a (n+1)^th branch according to the determined learning type, wherein the learning set includes at least one of a plurality of learning items and quizzes according to the learning type.

Description

Learning service providing method and server {Learning service providing method and server}

The present invention relates to a learning service providing method and server.

The challenge in m-learning or u-learning using the Internet is not only that education should be carried out anywhere, but also includes providing improved personalized education. In order to implement this, an optimal learning plan that diagnoses individual learning ability and characteristics with a terminal, manages student learning based on self-diagnosis and diagnosis results for achievement and vulnerability, and consequently improves learning efficiency. Although the function to be provided is required, there is a problem in that clear solution techniques or methods have not been materialized in the world except for direct management methods through educational experts such as school teachers.

Other conventional techniques should be provided to various types of learning objects in order to diagnose the learning status by specifically managing the learning process of students, but test problems, problem solving explanations, and interactive classes provided offline in the learning field. As the learning object is not properly provided online, it is a change in video lecture VOD (video on demand), and the Internet lecture is made in a simple form that completely relies on the lecturer's lecture ability and provides a uniform learning object to all consumers. There is a problem in that it is not possible to systematically provide services for intelligent/personalized customized education according to individual characteristics, which will be the most important focus of e-learning models according to the recent development of IT technology.

(01) Korean Registered Patent Publication No. 10-172027 (2017.03.21.)

The present invention is to provide a learning service providing method and a server capable of dynamically generating a configuration for subsequent learning by reflecting the result of prior learning.

In addition, the present invention provides a learning service providing method and a server capable of performing relearning in consideration of the learning type and determining a learning type based on the evaluation of each item based on the P algorithm. For.

According to an aspect of the present invention, there is provided a method of providing a learning service capable of dynamically generating a configuration for subsequent learning by reflecting a result of prior learning.

According to an embodiment of the present invention, the steps of: (a) constructing and providing an evaluation problem set for an nth (natural number) branch; And (b) determining a learning type according to an evaluation result based on a user response to the evaluation problem set of the nth branch, and re-reading the learning items and evaluation items of the (n+1)th branch according to the determined learning type. A learning service providing method including the step of dynamically configuring and providing a learning set may be provided.

In the step (b), the relearning set of the (n+1)th branch includes learning items and evaluation items related to evaluation items in which an incorrect answer is submitted among evaluation items included in the evaluation question set of the nth branch. It can be configured.

Depending on the type of learning, the combination of the learning item and the evaluation item for the evaluation item in which the incorrect answer is submitted may be different.

(c) further comprising the step of dynamically configuring and providing a relearning set of a lower branch according to an evaluation result based on a user response to the (n+1)th relearning set, wherein the extension to the lower branch is performed by the It may be repeated until correct answers are submitted for all evaluation items included in the evaluation item set constructed in branch n.

The evaluation problem set of the nth branch includes a set of evaluation questions for each category, and the evaluation problem sets for each category each include a plurality of evaluation questions, and the plurality of evaluation questions are a plurality of different problem types or different difficulty levels. It can consist of subproblems.

In step (a), the evaluation question set is sequentially provided with each evaluation question, and a plurality of sub-questions included in each evaluation question are provided in order of difficulty, and the next highest level according to whether the sub-question of the highest difficulty level is correct. The subproblems of the difficulty level can be dynamically changed and provided.

If the correct answer is answered after the first sub-question having the highest difficulty of each evaluation question is provided, after providing the third sub-question, whether or not the learning of each evaluation question is completed is determined according to whether the answer to the third sub-question is correct. If an incorrect answer is answered after the first sub-problem having the highest level of difficulty of each evaluation item is determined and the first sub-problem is provided, the second sub-problem to the fourth sub-problem are sequentially provided to check whether the answer is correct, and an evaluation result can be generated .

According to another aspect of the present invention, there is provided an apparatus capable of dynamically generating a configuration for subsequent learning by reflecting a result of prior learning.

According to an embodiment of the present invention, a memory for storing at least one instruction; And a processor interlocking with the memory to execute the instruction, wherein the instruction executed by the processor constitutes and provides an evaluation problem set for an nth (natural number) branch, and an evaluation problem set of the nth branch The learning type is determined according to the evaluation result based on the user's response to, and a relearning set for the (n+1)th branch of the learning item and the evaluation item is dynamically configured and provided according to the determined learning type. A server may be provided. The instruction executed by the processor further includes a process of dynamically configuring and providing a relearning set of a lower branch according to an evaluation result based on a user response to the (n+1)th relearning set, wherein the lower The expansion to the branch is repeatedly performed until correct answers for all evaluation items included in the evaluation item set configured in the n branch are submitted, and the relearning set of the (n+1)th branch is the evaluation of the nth branch. Among the evaluation items included in the question set, learning items and evaluation items related to the evaluation items in which incorrect answers were submitted may be included.

As the learning service providing method and the server according to an embodiment of the present invention are provided, there is an advantage in that a set for subsequent learning can be dynamically configured and provided by reflecting the preceding learning result.

In addition, the present invention determines a learning type based on the evaluation of each item based on the P algorithm, and relearning is possible in consideration of the learning type.

1 is a schematic diagram of a power control system according to an embodiment of the present invention.

Singular expressions used in the present specification include plural expressions unless the context clearly indicates otherwise. In the present specification, terms such as “consisting of” or “comprising” should not be construed as necessarily including all of the various elements or various steps described in the specification, and some of the elements or some steps It may not be included, or it should be interpreted that it may further include additional elements or steps. In addition, terms such as "... unit" and "module" described in the specification mean a unit that processes at least one function or operation, which may be implemented as hardware or software or a combination of hardware and software. .

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram schematically showing the configuration of a system for providing a learning service according to an embodiment of the present invention.

Referring to FIG. 1, a learning service providing system 100 according to an embodiment of the present invention includes at least one user terminal 110 and a server 120.

The user terminal 110 is a device possessed by a user. The user terminal 110 is a device for receiving a learning service by being connected to the server 120 through a communication network. The user terminal 110 may output an evaluation problem set provided through the server 120, receive a user response to the evaluation problem set, and provide it to the server 120.

Accordingly, the user terminal 110 may be applied without limitation in the case of an electronic device having a communication function and a data input/output function, such as a computer, a notebook, a tablet PC, and a mobile communication terminal.

The server 120 is a device for providing a learning service. The server 120 configures an evaluation problem set including learning items and evaluation problems according to each unit (step) so that learning is possible based on user information, and provides them to the user terminal 110, and the user for the evaluation problem set A learning service can be provided to enable re-learning by determining the user learning type by using the response. In addition, the learning service providing method may be provided as an application (hereinafter, referred to as an application) on the user terminal 110 or may be provided based on a web page.

The method of providing such a learning service will be described in more detail below with reference to FIG. 2.

2 is a flowchart illustrating a method of providing a learning service according to an embodiment of the present invention.

In step 210, the server 120 receives and obtains user information from the user terminal 110 possessed by the user. For example, the user information may be name, age, gender, region, learning goal or/and reason, and the like.

In step 215, the server 120 constructs and provides a set of evaluation problems of the first branch based on the user information.

In order to facilitate understanding and explanation, the configuration of the evaluation problem set of the first branch will be described in more detail.

The evaluation question set includes a plurality of categories, and each evaluation question set may be configured for each category. For example, as shown in FIG. 3, when configuring an evaluation problem set for language learning support (provision), the category may include "grammar", "vocabulary", "reading comprehension", and the like. The evaluation question set may be composed of an evaluation question set for “grammar”, an evaluation question set for “vocabulary”, and an evaluation question set for the “reading comprehension” category, respectively.

That is, the set of evaluation problems for the first branch may be composed of a set of evaluation problems for each category.

This evaluation question set may include a plurality of sub evaluation question sets. That is, the evaluation question set may not include only one evaluation item, but may be configured to include a plurality of evaluation items.

For example, it is assumed that all items included in the "grammar" category of the unit to be studied by the user (unit) are composed of, for example, 71 questions, and to facilitate understanding and explanation, P1, P2 , ?, will be referred to as P71.

In this case, the set of evaluation questions in the “grammar” category may be configured by extracting at least some of the entire items included in the unit (unit). In an embodiment of the present invention, in order to facilitate understanding and explanation, it is assumed that a set of evaluation problems for the first branch is constructed using items P1 to P10.

The evaluation question set for the "grammar" category among the evaluation question set of the first branch may be configured using P1 to P10 questions. At this time, the number of items included in the evaluation question set for other categories "vocabulary" and "reading" among the evaluation problem sets of the first branch may be the same as the number of questions included in the "grammar" category, or may be configured differently. . That is, it is obvious that the composition of the evaluation problem set for each category is configured differently for each category, and the number of questions included in the evaluation problem set for each category can also be configured independently of other categories.

In addition, each evaluation item included in the evaluation question set may be configured to include a plurality of questions according to a plurality of question types. For example, suppose there are four types of problems. Each evaluation item can contain at least 4 questions according to the 4 question types.

That is, each evaluation item may include a plurality of sub-questions, and one evaluation item may be configured including a plurality of sub-questions.

To explain this again, for example, it will be described by assuming a P1 evaluation item in the "grammar" category. P1 evaluation questions may be composed of P1-1 sub-problems, P1-2 sub-problems, P1-3 sub-problems, and P1-4 sub-problems.

In this way, each evaluation item is composed of one evaluation item including a plurality of sub-questions, but the plurality of sub-questions included in each evaluation item may be configured to have different question types (or different difficulty levels). have. Here, the problem type may be, for example, a passbook problem, an underline problem, an NSCF problem, or a theoretical problem type.

For convenience of understanding and explanation, an example for each problem type is presented as shown in FIG. 4. As shown in FIG. 4, the passbook problem is presented with a passbook, and this passbook problem type is a problem for checking whether the content of the theory of English is familiar, whether the ability to view sentences, and whether to grasp the tendency of questions. In addition, the underlined question type is a type of question used to evaluate whether you are familiar with English theory content and the ability to read sentences, and the NSFC (net sleepers catch fish) question type is the ability to find hints on the English theory content and answer ( Speed and accuracy) is a type of problem to evaluate and check, and finally, the type of theory is a type of problem to evaluate whether you are familiar with the content of English theory.

For another example, the problem type may include a basic problem type, a level checking problem type, a verification problem type, and a basic theory problem type. A plurality of problem types presented in an embodiment of the present invention are presented for convenience of understanding and description, and it is natural that the form of the problem types may be different.

When each evaluation item is exposed, multiple sub-problems may be exposed simultaneously, but may be sequentially exposed. When each evaluation item is exposed, a plurality of sub-problems may be sequentially arranged/exposed in order of difficulty from highest to lowest.

In addition, whether to expose the second to fourth sub-questions may be determined according to whether the first sub-question is answered correctly among the plurality of sub-questions of each evaluation question. For example, when the first sub-problem is the correct answer, the second sub-problem is not exposed and the third sub-problem is exposed, and the evaluation item is determined to be learning completed, and the next evaluation item may be presented.

However, if the first sub-problem is an incorrect answer, the second to fourth sub-problems may be sequentially exposed.

In an embodiment of the present invention, this will be referred to as a P algorithm. Each evaluation item may dynamically expose a plurality of sub-problems based on the P algorithm.

In more detail about the P algorithm, a plurality of sub-problems included in each evaluation item are exposed from the sub-problem of the highest difficulty level. Accordingly, when the first sub-problem is the correct answer, the third sub-problem is exposed to confirm whether the first sub-problem is correctly understood and solved. In this case, if the third sub-question is also a correct answer, the evaluation question may be determined to have completed learning.

However, if the first sub-problem is an incorrect answer, the second to fourth sub-problems having a lower level of difficulty than the first sub-problem may be sequentially exposed.

The configuration of the evaluation problem set, the configuration of the evaluation items, and the P algorithm have been described with reference to FIGS. 3 and 4.

The process of providing the evaluation problem set of the first branch to the user terminal 110 is sequentially provided for each evaluation item, and may be repeatedly performed until evaluation of all evaluation items is completed. Based on the P algorithm for each evaluation item included in the evaluation question set included in the first branch, the sub-problem is dynamically exposed through the user terminal 110, and an errata for each evaluation item is displayed on the server. It can be stored at 120. The errata according to an embodiment of the present invention should be understood as information in which one of a correct answer or an incorrect answer according to a user's response to a plurality of sub-problems of each evaluation question is recorded.

Again, referring to FIG. 2, in step 220, the server 120 determines a learning type using the evaluation result corresponding to the evaluation problem set of the first branch, and dynamically determines the learning set of the second branch according to the determined learning type. It consists of. The learning set of the second branch may include at least one of a learning item and an evaluation item. The learning item is learning information related to a specific evaluation item, and the learning information may be configured differently according to the learning type.

The learning type may be a learning level (step). In an embodiment of the present invention, a case (learning type) for each evaluation item may be determined by using the evaluation result of the evaluation problem set of the previous branch.

Therefore, the server 120 can determine the learning type (step) for each evaluation item according to each evaluation result (case classification) for the evaluation item that has not been passed based on the evaluation result for the evaluation problem set of the previous branch. have. Accordingly, the server 120 may configure a learning set according to the learning type (step) determined for each evaluation item.

The learning type (step) is composed of a plurality of levels, and the final level in which the plurality of levels are completed is a level for practical practice, and is composed of a level that is checked through evaluation questions.

For example, it is assumed that English study is assumed, and that the learning type (level) is divided into four stages.

The first level may be a level for learning a basic sentence structure, a second level may be a level for learning theory, a third level may be a level applied to a theoretical sentence, and the fourth level may be a level for learning grammar skills. The above-described learning type is only described for an example, and it is natural that the learning type may be configured differently.

Therefore, the server 120 configures each evaluation item into a plurality of sub-problems having different levels of difficulty, exposes the highest difficulty level first, and sequentially evaluates the solving ability of the sub-problems, so that the degree of understanding and learning of a specific item of the user The type of learning can be determined through the evaluation result of comprehensively evaluating.

An evaluation result for each evaluation item will be described by applying the P algorithm according to an embodiment of the present invention. As described above, a plurality of sub-problems included in each evaluation item are configured based on the P algorithm, and the provision of the sub-problem may vary according to the ability to solve the highest-difficulty sub-problem. When four sub-questions are included for each evaluation question, when correct answers are provided for the first and third sub-questions by the P algorithm, the evaluation question may be determined as passed. However, if an incorrect answer is presented to the first sub-problem, the evaluation result may be classified as shown in FIG. 5. Meanwhile, in the P algorithm, when the first sub-problem is a correct answer, but the third sub-problem is an incorrect answer, the learning items of the fourth learning type (level) may be matched as in case 4 of FIG. 5.

The server 120 may determine a learning type for each evaluation item based on the evaluation result for each evaluation item, and then dynamically construct and provide a learning set of a subsequent branch using this.

As shown in FIG. 5, learning items of the first to fourth learning types (levels) may be matched in the order of skill by corresponding to the evaluation results cases 1 to 4, respectively.

For example, the learning type according to the evaluation result of the first evaluation item of the first user is the second learning type (level), and the learning type according to the evaluation result of the second evaluation item is the fourth learning type (level) Let's assume.

In configuring the learning set for the second branch, a learning set may be generated as a second learning level item for the first evaluation item. In addition, for the second evaluation item, a learning set may be generated as a fourth learning level item.

For example, the learning set of the second branch is a first sub-learning set (first learning item), and a 1'-2 learning level item (T1-2) is generated, and a second sub-learning set (second learning item) ) May be configured to include the 2'-4 learning level item (T2-4).

In step 225, the server 120 adjusts the learning set of the second branch according to the user learning tendency.

In one embodiment of the present invention, it is assumed that the user learning tendency is classified into "green", "yellow", "orange", and "red", and this will be mainly described. A brief description of each user's propensity is as follows.

The "green" disposition does not have a special disposition and is an acceptable type, the “yellow” disposition is a timid type while trying to learn seriously, and the “orange” disposition does not recognize the shortcomings of the person and exaggerates their skills. It is the type that is being evaluated, and the propensity to "red" is defined as a type that is confident about the wrong learning method without recognizing the lack of it. This is only an example for convenience of understanding and explanation, and it is obvious that user learning tendencies can be classified into various types.

A brief description will be given of how to adjust the second branch learning set according to each user preference.

A tendency to "green"

Since it is a safe type, the training set of the current branch, which is dynamically configured by reflecting the evaluation result of the evaluation question set of the previous branch, is maintained without adjustment, and learning related to the evaluation item in which the wrong answer is presented in the evaluation result can be provided sequentially. .

" Yellow "Inclination

The yellow disposition adjusts the learning set of the second branch so that after learning enough one by one, you can check what you have learned by yourself.

For example, T1, Quiz, T2, Quiz, T3, Quiz, T4, Quiz, T5, Quiz?

(Learning item for each evaluation item is represented by T)

" Orange" inclination

Orange-oriented learners (users) have a good instant memorization ability and fine hair, and have a tendency to immediately catch the other when one is told, but they have good short-term memory but weak long-term memory. Accordingly, in an embodiment of the present invention, the server 120 is a second to confirm and supplement the vulnerability by letting the learner (user) with a tendency to "yellow" learn by grouping a certain portion and then viewing the evaluation (quiz) for this. You can adjust the branch training set.

For example, if the learning item for each evaluation item is denoted by T, the second branch training set can be adjusted to double the amount of learning by grouping and repeatedly presenting the schedule learning items and placing the evaluation items between them. .

In other words, T1, T2, T3, T4, T5+ quiz + T1, T2, T3, T4, T5+ quiz + T6, T7, T8, T9, T10+ quiz + T6, T7, T8, T9, T10+ quiz

" Red "Inclination

Red-oriented learners (users) are bored of learning the basic contents of English, and have a tendency to want to solve a lot of problems, so they learn a lot at once and insert a quiz to check and supplement the vulnerabilities. Can be adjusted.

For example, T1, T2, T3, T4, T5+ T6, T7, T8, T9, T10+ quiz + T1, T2, T3, T4, T5+ T6, T7, T8, T9, T10+ quiz

For example, in the first branch, a set of evaluation questions P1 to P10 was provided, correct answers were submitted and passed for evaluation questions P1 to P5, and cases 1 to P10 due to incorrect answers of the top sub-questions for evaluation questions P6 to P10 It is assumed that case 4 evaluation results have been obtained.

In this case, the training set of the second branch may be dynamically configured by reflecting the evaluation result for each evaluation item.

For convenience, it is assumed that the learning items are composed of'T6-1, T7-4, T8-2, T9-3, T10-1'. Here, T(n-m) means an item corresponding to the m-th learning type (level) among the learning items T(n) corresponding to the n-th evaluation item P(n).

At this time, if the learning set of the second branch is adjusted by reflecting each user's disposition, each may be adjusted as follows.

Green tendencies: T6-1, T7-4, T8-2, T9-3, T10-1

Yellow tendency: T6-1, quiz, T7-4, quiz, T8-2, quiz, T9-3, quiz, T10-1

Orange tendency: T6-1, T7-4, T8-2, quiz, T6-1, T7-4, T8-2, quiz, T9-3, T10-1, quiz, T9-3, T10-1, quiz

Red tendencies: T6-1, T7-4, T8-2, T9-3, T10-1, quiz, T6-1, T7-4, T8-2, T9-3, T10-1, quiz

The branch may be extended by reflecting the evaluation result of the learning set of the second branch to enable relearning.

In step 230, the server 120 reconstructs and provides the evaluation problem set of the third branch in relation to the evaluation item learned in the training set of the second branch.

As described above, it is possible to relearn and evaluate insufficient parts by repeating the process of providing a learning set based on the evaluation result of the problem set and re-providing the evaluation problem set related to the learning set. Yes (see Fig. 6).

7 is a block diagram schematically showing the internal configuration of a server according to an embodiment of the present invention.

Referring to FIG. 7, a server 120 according to an embodiment of the present invention includes a communication unit 710, a memory 715, and a processor 720.

The communication unit 710 is a means for transmitting and receiving data with other devices (eg, a user terminal) through a communication network.

For example, the communication unit 710 may provide at least one of an evaluation problem set and a learning set to the user terminal 110, and receive a user response corresponding thereto, and provide it to the processor 620.

The memory 715 is a means for storing instructions (program codes) required to perform a method for providing a learning service based on the P algorithm according to an embodiment of the present invention, various data derived from this process, and the like.

The processor 720 is a means for controlling internal components (eg, the communication unit 710, the memory 715, etc.) of the server 120 according to an embodiment of the present invention.

Further, the processor 720 may be interlocked with the memory 715 to execute an instruction (program code) stored in the memory 715. Instructions (program code) executed by the processor 620 constitute and provide an evaluation problem set for the nth (natural number) branch, and according to an evaluation result based on a user response to the evaluation problem set of the nth branch A learning type is determined, and a learning set of the (n+1)th branch may be dynamically configured and provided according to the determined learning type. Here, the learning set may include at least one of a plurality of learning items and quizzes according to the learning type. Since this is the same as described with reference to FIGS. 2 to 6, a duplicate description will be omitted.

The apparatus and method according to an embodiment of the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like alone or in combination. The program instructions recorded on the computer-readable medium may be specially designed and configured for the present invention, or may be known and usable to those skilled in the computer software field. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -Includes hardware devices specially configured to store and execute program instructions such as magneto-optical media and ROM, RAM, flash memory, and the like. Examples of the program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like.

The above-described hardware device may be configured to operate as one or more software modules to perform the operation of the present invention, and vice versa.

So far, the present invention has been looked at around the embodiments. Those of ordinary skill in the art to which the present invention pertains will be able to understand that the present invention may be implemented in a modified form without departing from the essential characteristics of the present invention. Therefore, the disclosed embodiments should be considered from an illustrative point of view rather than a limiting point of view. The scope of the present invention is shown in the claims rather than the foregoing description, and all differences within the scope equivalent thereto should be construed as being included in the present invention.

100: learning service provision system
110: user terminal
120: server

Claims (10)

(a) constructing and providing an evaluation problem set for the nth (natural number) branch; And
(b) determining a learning type according to an evaluation result based on a user response to the evaluation problem set of the nth branch, and dynamically configuring and providing a learning set of the (n+1)th branch according to the determined learning type. Including steps,
Wherein the learning set includes at least one of a plurality of learning items and quizzes according to the learning type.
The method of claim 1,
In step (b),
The training set of the (n+1)th branch,
And a learning service providing method comprising at least one of a plurality of learning-level learning items and a quiz regarding an evaluation item in which an incorrect answer is submitted among evaluation items included in the evaluation question set of the nth branch.
The method of claim 2,
In step (b),
Prior to providing the training set of the (n+1)th branch,
And adjusting a learning set of the (n+1)th branch according to a user learning tendency.
The method of claim 2,
(c) recomposing and providing an evaluation question set including an evaluation question corresponding to an evaluation question to which an incorrect answer was submitted in the nth branch after completion of learning for the (n+1)th learning set. Learning service provision method characterized by.
The method of claim 1,
The evaluation problem set of the nth branch includes a category evaluation problem set,
Each of the evaluation question sets for each category includes a plurality of evaluation questions, and the plurality of evaluation questions are composed of a plurality of sub-questions having different problem types or different degrees of difficulty.
The method of claim 5,
The step (a),
Each evaluation question is provided sequentially in the evaluation question set,
The plurality of sub-problems included in each of the evaluation questions are provided in order of difficulty, and the sub-problems of the next higher difficulty are dynamically changed and provided according to whether the sub-problem of the highest difficulty level is correct.
The method of claim 6,
If the correct answer is answered after the first sub-question having the highest difficulty of each evaluation question is provided, after providing the third sub-question, whether or not the learning of each evaluation question is completed is determined according to whether the answer to the third sub-question is correct. Decide,
Learning characterized in that, when an incorrect answer is answered after the first sub-problem having the highest difficulty level of each evaluation item is provided, the second sub-problem to the fourth sub-problem are sequentially provided to check whether the answer is correct, and an evaluation result is generated. How to provide services.
A computer-readable recording medium product storing instructions for performing the method according to any one of claims 1 to 7.
A memory storing at least one instruction; And a processor interlocked with the memory to execute the command,
The instructions executed by the processor,
Compose and provide a set of evaluation problems for the nth (natural number) branch,
A learning type is determined according to an evaluation result based on a user response to the evaluation problem set of the nth branch, and a learning set of the (n+1)th branch is dynamically configured and provided according to the determined learning type,
Wherein the learning set includes at least one of a plurality of learning items and quizzes according to the learning type.
The method of claim 9,
The instructions executed by the processor,
(c) further comprising a process of reconstructing and providing an evaluation question set including an evaluation question corresponding to an evaluation question to which an incorrect answer was submitted in the nth branch after completion of learning for the (n+1)th learning set. Server characterized by.

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