KR20220138713A - Method and Device for providing AI study plan - Google Patents

Abstract

As a preferred embodiment of the present invention, an AI learning device includes: a learning information analysis unit which analyzes learning information of a student using a learning application; a comprehension determination unit which determines the comprehension of the student based on the student's answers to learning questions corresponding to the content provided by the learning application for a predetermined period of time using the learning application; and a learning plan revision unit which revises a learning plan of the student after the predetermined period based on the learning information and the comprehension.

Description

Method and Device for providing AI study plan

The present invention relates to a method of providing a learning plan and consulting based on a student's understanding of learning information and contents using a learning application.

In the case of online learning, it is possible to analyze information on the sincerity of students, such as the amount of time students studied the contents provided by experts, and the performance rate at which the students learned the contents. However, there is a problem in that it is not possible to determine how much the student understands the corresponding content. Even if a student learns the content after making a plan on his/her own, it is difficult to continue learning if the understanding is not high.

KR 10-2020-0104680 A

In a preferred embodiment of the present invention, while the student learns the learning application for a certain period of time, it is intended to identify the change in the degree of understanding of the contents learned by the student.

In a preferred embodiment of the present invention, a learning plan necessary for the student is proposed according to the change of the student's understanding.

In a preferred embodiment of the present invention, the counselor intends to conduct counseling with the student using learning counseling data based on the student's understanding of learning as well as the student's learning information.

As a preferred embodiment of the present invention, the AI learning apparatus includes a learning information analysis unit for analyzing the learning information of a student using a learning application; a comprehension determination unit for judging the student's comprehension based on the student's answer to a learning question corresponding to the content provided by the learning application for a preset period using the learning application; and a learning plan revision unit for revising the student's learning plan after the preset period based on the learning information and the comprehension.

As a preferred embodiment of the present invention, the AI learning device uses the learning information and the comprehension as learning counseling data to query the concept of the content that needs improvement of the student's comprehension among the content learned for the preset period. It is characterized by including; AI counseling unit provided to the counselor.

As a preferred embodiment of the present invention, the comprehension determining unit is characterized in that it determines the student's comprehension based on IRT (Item Response Theory) data.

As a preferred embodiment of the present invention, when the student submits an incorrect answer to a learning question determined to have a high degree of comprehension through the comprehension determination unit, the learning plan correction unit identifies the content to which the item belongs and provides guidelines for improvement. It is characterized by providing.

As a preferred embodiment of the present invention, the AI learning device has the effect of providing customized learning by analyzing the degree of understanding of the content learned by the student in the learning application in addition to the student's learning information and providing a learning plan suitable for the student.

As a preferred embodiment of the present invention, the AI learning device provides the counselor with learning counseling data reflecting the student's understanding of the content learned in the learning application in addition to the student's learning information, thereby improving the student's understanding of the content. can have an effect.

1 shows a configuration diagram of a learning counseling system in which an AI learning apparatus is implemented as a preferred embodiment of the present invention.
2 shows an internal configuration diagram of an AI learning apparatus as a preferred embodiment of the present invention.
3, 4, 7 and 8 show an example of a counseling board provided with an AI counseling unit as a preferred embodiment of the present invention.
5 shows an example of a learning information analysis unit and a comprehension determination unit as a preferred embodiment of the present invention.
6 shows an example of an AI counseling unit as a preferred embodiment of the present invention.
9 shows an example of a learning plan correction unit as a preferred embodiment of the present invention.
10 shows an example of a clustering unit as a preferred embodiment of the present invention.
11 illustrates an example of a content recommendation unit as a preferred embodiment of the present invention.

Hereinafter, it will be described with reference to the drawings.

1 shows a configuration diagram of a learning counseling system as a preferred embodiment of the present invention.

The learning counseling system includes the server 100 , AI learning devices 141 , 143 , 145 used by the counselor terminal, and the student terminals 151 , 153 , 155 , 157 . The server 100 includes a learning counseling server 110 , a learning server 120 , and a payment server 130 , and may further include other servers. The AI learning devices 141 , 143 , 145 and the student terminals 151 , 153 , 155 , 157 include a PC, a computer, a terminal, a notebook computer, a smart phone, a handheld device, a wearable device, and the like. AI learning devices (141, 143, 145) and student terminals (151, 153, 155, 157) may also include a terminal implemented in the form of a device having a processor, a memory, and a communication unit.

As a preferred embodiment of the present invention, the learning counseling system provides the learning counseling data of students using the learning server 120 to the AI learning devices (141, 143, 145). In the learning counseling server 110, the students (151, 153, 155, 157) who access the learning server 120 and use the learning application learn the contents of the student in the learning application for a preset period, the students 151, 153, 155 , 157) learning patterns, students (151, 153, 155, 157) parents' interest in learning application services, learning counseling data including information on the probability of paying for other learning applications, etc. 141, 143, 145).

As another preferred embodiment of the present invention, the learning counseling system provides a task board to the AI learning devices 141, 143, and 145, and provides the number of tasks and the details of tasks that counselors have to handle on the day. There may be no omissions.

2 shows an internal configuration diagram of the AI learning apparatus 200 as a preferred embodiment of the present invention. The AI learning apparatus 200 includes a learning information analysis unit 210 , a comprehension determination unit 220 , a learning plan correction unit 230 , and an AI consultation unit 240 .

As a preferred embodiment of the present invention, the AI learning device 200 identifies the student's right and wrong problems with respect to the questions provided by the learning application through the learning information analysis unit 210, and the comprehension determination unit 220 Through this, it is possible to grasp the level of understanding and difficulty that the student actually feels while solving the problem. The AI learning device 200 can grasp not only the student's score measured according to the problem provided by the expert, but also the degree of understanding and the difficulty that the student actually feels about the problem.

As a preferred embodiment of the present invention, referring to FIG. 5 , the AI learning device through the learning information analysis unit 510 solves the number of evaluation papers 512 by the student, the number of problems solved by the student 511a, and the number of questions solved by the student. The number of correct questions 512a among the questions, the student's total correct rate 561, and information on the correct correct rate for each subject may be provided.

In addition, through the comprehension determination unit 520, information on comprehension is provided through information on the number of 'problems skipped', 'problems that appear to have been taken', and 'problems solved in a hurry' by the student, and incorrect answer notes are also provided. Unchecked number 521 and problem solving habits 523 to be corrected may be suggested.

Since the AI learning device 200 can grasp the change in the degree of understanding of the student over time, it identifies where the student lacks understanding and where the degree of understanding is high, and uses the learning plan revision unit 230 accordingly. Through this, an improved learning plan can be suggested. In addition, when counseling is made between the counselor and the student through the AI counseling unit 240, the counselor conducts counseling to improve the student's understanding of the student's deficiencies, and supports the student's high level of understanding. can do.

Let's look at each component in detail.

The learning information analysis unit 210 is generated based on the contents learned by the students who use the learning application by accessing the learning server for a preset period, the students' learning patterns, log records, etc., and includes the strengths and points of improvement of the students. Specifically, the learning information analysis unit 210 is the learning content provided by the student learning application, time information learned from the learning application, the learning plan day to perform the learning content provided by the learning application, and the amount of self-learning. The number of study plans, the performance rate indicating the number of students performed during self-planned learning, unplanned learning performed regardless of the student's plan, the number of problems solved by the student among the problems provided by the learning application, and the number of correct problems It is possible to analyze the number of problems, the date of attendance of the learning application, and the date of absence.

The comprehension determination unit 220 determines the comprehension of the student based on the student's answer to the learning question corresponding to the content provided by the learning application for a preset period. As a preferred embodiment of the present invention, the comprehension determination unit 220 determines the student's comprehension based on IRT (Item Response Theory, Item Response Theory) data.

Item response theory is a statistical measure of a test taker's comprehension of an item. IRT data includes the difficulty of the questions taken by the student, the degree of guesswork of the questions, the discriminating degree of the questions, the student’s understanding of the questions, the probability of getting the questions right, and the score that can be obtained based on the degree of understanding the student took the test. .

A logistic model can be used for the item selection curve used in IRT. Even when using the logistic model, when estimating the item characteristic curve, only the item difficulty felt by the student for the problem taken in the learning application is considered. It is called a one-parameter logistic model or Rasch model. It is called a two-parameter logistic model, and a three-parameter logistic model that includes all item difficulty, item discrimination, and item guessing. In a preferred embodiment of the present invention, it is possible to grasp at least one of the item difficulty, each item, or the item guessing level of the problem that the student took by using the 1-parameter, 2-parameter, and 3-parameter logistic models.

The learning plan correction unit 230 is based on the learning information grasped for the predetermined period by the learning information analysis unit 210 and the comprehension for the predetermined period grasped by the comprehension determination unit 220, the learning of the student after the predetermined period revise the plan

If the student submits an incorrect answer to the learning question determined to have a high level of understanding through the comprehension determination unit 220, the learning plan correction unit 230 may say, "Please be careful of mistakes" or "Check the incorrect answer notes", etc., It is possible to identify the content to which the item belongs and provide guidelines for improvement.

The learning plan revising unit 230 identifies the content to which the item belongs to the learning item determined to have low comprehension through the comprehension determination unit 220, and the difficulty level among other contents containing the same or similar learning content as the identified content. You can recommend content with a low value.

The learning plan revision unit 230 identifies similar groups based on the student's learning information identified by the learning information analysis unit 210 and the student's understanding of the contents used by the student for a preset period identified by the comprehension determination unit 220 . and provide the students with the contents most preferred by students belonging to a similar group.

The learning plan correction unit 230 will be described with further reference to FIGS. 9 to 11 .

As another preferred embodiment of the present invention, the learning plan revision unit 900 includes a collection unit 910 , a clustering unit 920 , an extraction unit 930 , and a content recommendation unit 940 .

As a preferred embodiment of the present invention, the learning plan revision unit 900 clusters students who use the learning application in units of a preset period into n groups (n is a natural number), and a preset period in each of the clustered groups. Information obtained by extracting M most preferred contents (M is a natural number) is stored. Then, the learning plan correction unit 900 receives the learning information (S210) and comprehension (S220) information that the first student grasped while using the learning application as inputs, and determines the group to which the first student belongs. In addition, M pieces of content most preferred in the group to which the first student belongs may be proposed to the first student as a modified learning plan.

The collection unit 910 collects information of students who use the learning application. Student information includes personal bibliographic information, learning information using a learning application, and content information used in the learning application. Personal bibliographic information includes name, contact information, grade, gender, school, etc.

The clustering unit 920 clusters the students collected by the collection unit 910 into n groups using an algorithm such as K-cluster, as in the embodiment of FIG. 10 . FIG. 10 shows an example in which clustering is performed into three groups 1010 , 1020 , and 1040 . Group 1 shows that the average daily usage time of the learning application, the number of plans, the number of tasks performed, the number of test questions, the number of correct answers, the number of Korean language learning, the number of math lessons, the number of English lessons, and the number of special learning applications are lower than those of groups 2 and 3. It is identified (1010). In group 2, the daily average usage time of the learning application, the number of plans, the number of executions, the number of Korean lessons, the number of math lessons, the number of English lessons, and the number of special learning ratios were relatively higher than the ratio of the number of test questions and the number of correct answers (1030). considered to be high. In group 3, the ratio (1050) of the average daily hours used, the number of plans, the number of executions, the number of test questions, and the number of correct answers (1050) was higher than the ratio of the number of Korean language learning, mathematics learning, English learning, and special learning learning. It can be seen that the performance ratio and understanding of the planned learning are high, but the participation in other subjects 1060 is low.

The extraction unit 930 extracts M most preferred contents for the preset period for each n groups. Referring to FIG. 11 , the extractor 1100 sorts the contents most frequently used by the three groups 1110 , 1120 , and 1130 classified in FIG. 10 in order.

The content recommendation unit 940 provides the contents extracted from the n groups in the order of usage frequency by the extraction unit 930 to each of the students belonging to the group.

Referring to FIG. 4 , the AI recommendation unit analyzes and provides points to be praised 432 and points to be improved 434 based on the learning information analyzed by the learning information analysis unit 430 for a preset period 412 .

Examples of student strengths include 'performance is 100%' (432a), 'average score has improved by +20 points' (432b). An example of student improvement is 'I did not review the incorrect notes' (434a), 'Do not skip the problems and solve them all' (434b), and 'Lack of learning math operations' (434c). have.

The AI counseling unit 240 is based on the learning information analyzed by the learning information analysis unit 210 and the comprehension analyzed by the comprehension determination unit 220 among the contents learned by the student in the learning application for a preset period of understanding of the student Provide the counselor with questions about the concept of content that needs improvement as learning counseling data.

Referring to FIG. 4 , the AI counseling unit 440 allows the student to improve the student's comprehension in the "Unit 4. Fraction" (450a) part of the math content in the learning application for a preset period. The concept of "a factor" (450b) provides the corresponding concept to the counselor as learning counseling data to ask the student. The counselor can explain the definition (450c) of the "divisor" in the course of consulting with the student.

The AI counseling unit 440 also solves problems based on the learning information analyzed by the learning information analysis unit 210 and the comprehension analyzed by the comprehension determination unit 220 among the list of problems that the student is wrong in the learning application for a preset period. It is selected and provided to the counselor as learning counseling data (460, 470).

When the counselor uses all of the queries provided by the AI counseling unit 440 as learning counseling data in the counseling process, press the 'AI recommendation counseling completion' button 480 to end the use of the learning counseling data provided by the AI life record. can

Another example of the AI counseling unit 600 is referenced in FIG. 6 . The AI counseling unit 600 may support a search interface as in an example of FIG. 6 to the counselor.

The search interface provides a first search unit 610 for selecting a recommendation problem 611 , poor understanding 613 , or good understanding 615 analyzed from the group classified by the clustering unit. Also, about the problems that students solved in the learning application, 'problems that you know and fit' (621), 'problems that appear to have been taken' (622), 'skipped problems' (623), 'problems solved in a hurry' (624), and A second search unit 620 for selecting the 'doubt wrong problem' 625 is provided.

The AI consulting unit 600 displays the result 630 searched for through the first search unit 610 or the second search unit 620 . The search result provides the subject 631 , the content 632 , the test score 640 for the items provided by the content, the comprehension score 650 for the item, and the item analysis result 660 . The item analysis result 660 includes correct and incorrect answers. In the case of the correct answer, information is provided by classifying it into 'problem you know and fit' (661) and 'problem that appears to have been taken' (662). The counselor may ask the student about the problem 662 that appears to have been taken by using it as learning counseling data when consulting. In the case of incorrect answers, information is provided by categorizing them into 'skipped questions' (663), 'problems solved in a hurry' (664), and 'problems wrong because they don't know' (665). The item analysis result provides an AI recommendation problem interface that provides more recommended questions based on the student's correct and incorrect answers (670).

3 shows an example of a consultation board provided with an AI consultation unit as a preferred embodiment of the present invention.

As a preferred embodiment of the present invention, the consultation board 300 is divided into left and right forms 310 and 320, and a consultation information area 310 is provided on the left side of the consultation board, and a consultation recording area 320 is provided on the right side of the consultation board. It is implemented so that consultation information inquiry and consultation record can be performed on a single screen. Also, the consultation information area 310 and the consultation recording area 320 may each include a plurality of tabs.

As a preferred embodiment of the present invention, the counseling board 300 includes a plurality of fixed tabs 310a, 310b, 310c, 320a, 320b, 320c, a counseling information area 310 and a counseling recording area 320. It can be implemented as a "T"-shaped layout divided into left and right. Counseling board with T-shaped layout has the advantage of being able to simultaneously check learning counseling data, including student information of students and probability of payment for learning applications, while the counselor records the counseling history while consulting with students or parents. have. Counselors can use the counseling board 300 provided on a single screen to receive learning counseling data necessary for consulting with students or parents, and at the same time record the counseling history with students or parents on the counseling board 300 .

As a preferred embodiment of the present invention, the counseling information area 310 may include a student information tab 310a, a learning plan tab 310b, and an AI life record tab 310c. As a preferred embodiment of the present invention, the consultation record area 320 includes a consultation record tab 320a for recording the consultation details at the time of performing a consultation, a consultation history tab 320b for recording consultation details in chronological order, and a consultation An excellent counseling script tab 320c may be provided that provides an excellent counseling script tab that the teacher can refer to when consulting with the student or the student's parent.

The student information tab 310a provides bibliographic information of students or parents. The learning plan tab 310b provides an interface for recording a plan for the student to perform learning provided by the learning application. In addition, it provides information such as the number of times a student has visited, the history of learning, and the performance rate, which indicates the percentage of the student's self-planned learning. The AI life record tab 310c displays the student's learning information identified while the student uses the learning application for a preset period. Learning information is generated based on the learning history data and log records identified in the process of using the learning application, and includes the student's strengths and points of improvement. In addition, the AI life record tab 310c includes questions related to what the student has learned in the learning application for a preset period. The AI life record tab 310c may further provide information on the probability that the student will pay for the learning application based on what the student has learned in the learning application for a preset period. And, based on the student's learning information and the probability information that the student will pay for the learning application, it is possible to further provide information about the improvement points necessary for the student. The counselor may consult with the student by using the learning information provided by the AI life record tab 310c and the probability information to pay the learning application as learning counseling data.

As a preferred embodiment of the present invention, the consultation information area 310 and the consultation recording area 320 are provided with scroll bars 312 and 322, respectively, and the scroll bar 312 of the consultation information area 310 and the consultation recording area ( The scroll bar 322 of 320 operates independently.

When the counselor wants to grasp the student's learning information in the course of consulting with the student or the student's parent, the scroll bar 312 of the counseling information area 310 and the plurality of tabs 310a and 310b constituting the counseling information area 310 , 310c) can be used. In this case, the scroll bar 312 of the consultation information area 310 moves up and down in each of the plurality of tabs 310a, 310b, and 310c constituting the consultation information area 310 .

A counselor performs a record when consulting with a student or a student's parent, checking a counseling record history, or when a standardized counseling script is needed, a plurality of tabs 320a, 320b, 320c constituting the counseling record area 320 Available. In this case, the scroll bar 322 of the consultation recording area 320 moves up and down in each of the plurality of tabs 320a, 320b, and 320c constituting the consultation recording area 320 .

The counselor records the counseling contents in the counseling record area 320 when consulting with the student or the student's parent, and at the same time inquires a plurality of tabs 310a, 310b, 310c constituting the counseling information area 310, The scroll bar 312 of the counseling information area 310 may be used to check the contents of each of the tabs 310a, 310b, and 310c.

7 to 8 show an example of a counseling board provided to a counselor's terminal as another preferred embodiment of the present invention.

The consultation board 700 includes a tab area 710 in which a plurality of tabs are displayed, a content area 720 in which content related to a corresponding tab is displayed when a tab is selected, a quick menu 730 and a scroll bar 740 .

As a preferred embodiment of the present invention, the content area 720 performs substantially the same functions as the consultation information area 310 of FIG. 3 and the quick menu 730 of the consultation recording area 320 of FIG. 3 . In addition, in the tab area 710, only the tabs 310a, 310b, and 310c displayed in the consultation information area 310 are displayed, and in the quick menu 730, the tabs 320a, 320b displayed in the consultation recording area 320 are displayed. 320c) is displayed. For example, the counseling record tab ( FIGS. 8 and 730 ), the counseling history tab ( FIGS. 7 and 740 ), and the required counseling script tab ( FIGS. 7 and 750 ) are shown. The counselor may select a tab to be inquired from among a plurality of tabs in the tab area 710 . For example, the counselor is the student information tab (refer to FIGS. 3 and 310a), the learning plan tab (refer to FIGS. 3 and 310b), and the AI life record tab (refer to FIGS. 3 and 310c) of the AI life record tab (refer to FIGS. 3 and 310c). Note) can be selected.

When the counselor selects a tab to be inquired from among a plurality of tabs in the tab area 710 , the content corresponding to the tab is displayed in the content area 720 . Referring to FIG. 7 , when the counselor selects the AI life record tab (refer to FIGS. 3 and 310c ), the content area 760 displays the student's learning information identified while the student uses the learning application for a preset period.

As another preferred embodiment of the present invention, when the counselor moves the scroll 810 to check the content area 1160 of the counseling board, the quick menu 820 moves along with the position of the scroll 810. . Then, the details written in the tab area 800 are changed to identification information such as name, grade, gender, etc. of the student inquired by the counselor. Even when the counselor moves the scroll 810 up and down, the tab area 800 moves along with the movement of the position of the scroll 810 in order to continuously check the identity information such as the student's name, grade, and gender. . The counselor may activate the quick menu 820 by clicking the quick menu 820 when checking the content area 860 while grasping the student's learning information, etc., to record counseling, or to check the counseling history or essential counseling script.

The terms used in the present invention are only used to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as "comprises" or "consisting of" are intended to designate that the features, numbers, steps, operations, components, parts, or combinations thereof described in the specification exist, and are intended to indicate that one or more other It is to be understood that this does not preclude the possibility of addition or presence of features or numbers, steps, operations, components, parts, or combinations thereof. Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present application. does not

Methods 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, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the present invention, or may be known and available to those skilled in the art of computer software.

As described above, although the present invention has been described with reference to limited embodiments and drawings, the present invention is not limited to the above-described embodiments, and those skilled in the art to which the present invention pertains can make various modifications and variations from these descriptions. This is possible.

Claims (14)

Learning information analysis unit to analyze the learning information of the student using the learning application;
a comprehension determination unit for judging the student's comprehension based on the student's answer to a learning question corresponding to the content provided by the learning application for a preset period using the learning application; and
AI learning apparatus comprising a; learning plan correction unit for modifying the learning plan of the student after the preset period based on the learning information and the comprehension. The method of claim 1,
It is divided into left and right, and a consultation information area is provided on the left and a consultation recording area is provided on the right, so that consultation information inquiry and consultation recording are performed on a single screen; further provides, the consultation information area and the consultation record Each area is composed of a plurality of tabs, and one of the plurality of tabs constituting the consultation information area provides information on the probability that a student performing a consultation will pay for a learning application. . The method of claim 1,
AI counseling unit that provides the counselor with a query about the concept of the content that needs improvement of the student's understanding of the content learned for the preset period based on the learning information and the comprehension as learning counseling data; Characterized by AI learning device. The method of claim 1,
AI learning apparatus comprising a; AI counseling unit that selects a problem based on the learning information and the comprehension from the list of problems that the student is wrong during the preset period and provides it to the counselor as learning counseling data. According to claim 1, wherein the comprehension determination unit
AI learning device, characterized in that the comprehension of the student is determined based on IRT (Item Response Theory) data. The method of claim 1, wherein the learning plan revision unit
AI learning apparatus, characterized in that when the student submits an incorrect answer to a learning question determined to have a high degree of understanding through the comprehension determination unit, the content to which the question belongs is identified and a guideline for improvement is provided. The method of claim 1, wherein the learning plan revision unit
For a learning question determined to have a low degree of comprehension through the comprehension determination unit, the content to which the item belongs is identified, and content with lower difficulty among other content containing the same or similar learning content to the identified content is recommended, characterized in that AI learning device. The method of claim 1, wherein the learning plan revision unit
a collection unit for collecting information of students using the learning application;
a clustering unit for clustering the students into n groups (n is a natural number);
an extraction unit for extracting M most preferred contents for the predetermined period for each of the n groups; and
AI learning apparatus comprising a; a content recommendation unit that provides the M most preferred content to each of the students belonging to the group. The method of claim 1, wherein the information of the students is
AI learning apparatus comprising personal bibliographic information, learning information using the learning application, and content information used in the learning application. As a method of providing an AI learning plan from an AI learning device,
Analyzing the learning information of the student using the learning application in the learning information analysis unit;
judging the student's comprehension based on the student's answer to the learning question corresponding to the content provided by the learning application for a preset period using the learning application in the comprehension determination unit; and
Revisioning the learning plan of the student after the preset period based on the learning information and the comprehension by the learning plan revision unit; 11. The method of claim 10,
Providing the counselor with a query on the concept of the content that needs improvement of the student's understanding of the content learned for the preset period based on the learning information and the comprehension in the AI counseling unit as learning counseling data; more A method comprising: 11. The method of claim 10,
Method characterized by further comprising; selecting a problem based on the learning information and the comprehension from the list of problems where the student is wrong during the preset period in the AI counseling unit and providing it to the counselor as learning counseling data; . 11. The method of claim 10, wherein the learning plan correction unit
For a learning question determined to have a low degree of comprehension through the comprehension determination unit, the content to which the item belongs is identified, and content with lower difficulty among other content containing the same or similar learning content to the identified content is recommended, characterized in that Way. A computer recording medium in which a program for executing the method of providing an AI learning plan in the AI learning apparatus according to any one of claims 10 to 13 is recorded.

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