WO2022215773A1 - Dispositif d'apprentissage ia et procédé pour fournir un plan d'apprentissage iai - Google Patents

Dispositif d'apprentissage ia et procédé pour fournir un plan d'apprentissage iai Download PDF

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WO2022215773A1
WO2022215773A1 PCT/KR2021/004380 KR2021004380W WO2022215773A1 WO 2022215773 A1 WO2022215773 A1 WO 2022215773A1 KR 2021004380 W KR2021004380 W KR 2021004380W WO 2022215773 A1 WO2022215773 A1 WO 2022215773A1
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learning
student
information
content
unit
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PCT/KR2021/004380
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English (en)
Korean (ko)
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김선경
최인화
양예슬
이기민
오희택
홍영기
박정훈
신진호
장현철
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주식회사 아이스크림에듀
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Publication of WO2022215773A1 publication Critical patent/WO2022215773A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0487—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser
    • G06F3/0489—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using dedicated keyboard keys or combinations thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0487—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser
    • G06F3/0489—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using dedicated keyboard keys or combinations thereof
    • G06F3/04892—Arrangements for controlling cursor position based on codes indicative of cursor displacements from one discrete location to another, e.g. using cursor control keys associated to different directions or using the tab key
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
    • G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
    • G09B7/04—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question, supplying a further explanation

Definitions

  • 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.
  • the student 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.
  • a learning plan necessary for the student is proposed according to the change of the student's understanding.
  • 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.
  • 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.
  • 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.
  • the comprehension determining unit is characterized in that it determines the student's comprehension based on IRT (Item Response Theory) data.
  • the learning plan correction unit identifies the content to which the item belongs and provides guidelines for improvement. It is characterized by providing.
  • 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.
  • 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.
  • FIG. 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.
  • FIG. 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.
  • FIG. 5 shows an example of a learning information analysis unit and a comprehension determination unit as a preferred embodiment of the present invention.
  • FIG. 6 shows an example of an AI counseling unit as a preferred embodiment of the present invention.
  • FIG 9 shows an example of a learning plan correction unit as a preferred embodiment of the present invention.
  • FIG. 10 shows an example of a clustering unit as a preferred embodiment of the present invention.
  • FIG. 11 illustrates an example of a content recommendation unit 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.
  • FIG. 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.
  • the learning counseling system provides the learning counseling data of students using the learning server 120 to the AI learning devices (141, 143, 145).
  • 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).
  • 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.
  • 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 .
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • IRT Item Response Theory, Item Response Theory
  • 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
  • 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 .
  • 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 .
  • 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).
  • 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.
  • 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.
  • 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.
  • 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).
  • 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.
  • FIG 3 shows an example of a consultation board provided with an AI consultation unit 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.
  • 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.
  • Steping 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 .
  • the counseling information area 310 may include a student information tab 310a, a learning plan tab 310b, and an AI life record tab 310c.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • FIG. 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 .
  • 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 .
  • 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.
  • the counseling record tab FIGS. 8 and 730
  • the counseling history tab FIGS. 7 and 740
  • the required counseling script tab FIGS. 7 and 750
  • the counselor may select a tab to be inquired from among a plurality of tabs in the tab area 710 .
  • 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.
  • the content corresponding to the tab is displayed in the content area 720 .
  • the content area 760 displays the student's learning information identified while the student uses the learning application for a preset period.
  • the quick menu 820 moves along with the position of the scroll 810. .
  • 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.
  • 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.
  • 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.

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Abstract

Dans un mode de réalisation préféré de la présente invention, un dispositif d'apprentissage IA comprend : une unité d'analyse d'informations d'apprentissage pour analyser des informations d'apprentissage d'un étudiant au moyen d'une application d'apprentissage ; une unité de détermination de compréhension pour déterminer la compréhension de l'étudiant au moyen de l'application d'apprentissage sur la base de la réponse de l'étudiant à une question d'apprentissage correspondant à un contenu fourni par l'application d'apprentissage pendant une période préconfigurée ; et une unité de modification de plan d'apprentissage pour modifier un plan d'apprentissage de l'étudiant après la période préconfigurée sur la base des informations d'apprentissage et de la compréhension.
PCT/KR2021/004380 2021-04-06 2021-04-07 Dispositif d'apprentissage ia et procédé pour fournir un plan d'apprentissage iai WO2022215773A1 (fr)

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KR10-2021-0044739 2021-04-06

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Cited By (1)

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Publication number Priority date Publication date Assignee Title
CN117094863A (zh) * 2023-10-19 2023-11-21 中国民航大学 基于智慧学习的学习行为智能分析系统

Citations (5)

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