KR102538342B1 - Artificial intelligence tutoring system using inference of proficiency by curriculum based on diagnostic evaluation data for new learners - Google Patents

Abstract

The present invention is an artificial intelligence tutoring system for remotely connecting a first terminal of a new learner and a second terminal of a teacher to support the new learner's learning and the teacher's teaching in a non-face-to-face environment,
While communicating by establishing a network with the first and second terminals, the web, and an external server, record data about the diagnostic evaluation performed by the new learner is obtained from the first terminal, and understanding of each curriculum is based on the obtained record data. A degree value is estimated, and customized information for guiding future learning of the new learner and future teaching of the teacher is generated by matching the estimated understanding value with pre-specified data for learning management, and according to the customizing information, a control unit outputting a set notification signal; and a notification unit provided in the first and second terminals and visually displaying the notification signal on an arbitrary screen according to the notification signal output from the control unit.
Improved reliability can be achieved for the provision of customized information for new learners, and accordingly, the effect of more efficiently achieving a management environment for guiding new learners and teachers to each customized learning and teaching in the future there is

Description

Artificial intelligence tutoring system using inference of understanding by curriculum based on diagnostic evaluation data for new learners

The present invention infers the understanding value for each curriculum based on the diagnostic evaluation record of the new learner, and provides customized recommendation information to guide future learning and teaching according to the inferred understanding value for each curriculum. It is possible to achieve more reliability in providing recommendation information for new learners, and accordingly, a management environment for guiding new learners and teachers to each customized learning and teaching in the future can be achieved more efficiently. It is about an artificial intelligence tutoring system using inference of understanding level for each curriculum based on diagnostic evaluation data for learners.

In general, artificial intelligence (AI) assistants understand and execute the intentions of commands uttered by users, and the convenience of voice interfaces that control peripheral devices is the main feature, whereas AI tutoring systems provide learners with the intervention of teachers and instructors. The main feature is the context-oriented active response that identifies the necessary situation and provides diagnosis and prescription appropriate to the situation.

Currently, the domestic education technology market, which includes technology for artificial intelligence tutoring, is expanding, but its growth rate is low compared to the global market, and the proportion of small businesses is high.

For example, sales are concentrated in a small number of large operators, while sales of small operators, which account for half of the total number of operators, account for only 1.6%, resulting in polarization within the industry. It takes over a business, launches services using artificial intelligence technology and robot technology, and seeks new opportunities by directly discovering and supporting promising edutech startups.

Accordingly, edutech startups are growing in various fields such as customized learning services, game-based learning, foreign language education, and coding education based on their technological prowess. The use of artificial intelligence (AI) to provide

Among these, conventionally commercialized customized learning technologies rely on linkage between learning contents or simply count the number of wrong problems to diagnose weak concepts, so there is a problem in that the diagnosis of learner's learning ability is not sophisticated.

In addition, as the current technology, in the future management of the learner's learning results, the deep learning or machine learning technology-based enhanced artificial There is no learning/teaching guide system that goes through an intelligent learning process and an accurate analysis process.

In particular, in the current situation where there is no model that can infer the learning competency for each knowledge concept of a new learner who has no previous data on solving questions, it is possible to solve a specific number of problems for each knowledge concept, and based on this, to improve the learning capability of new learners. There is a demand for a technology that provides inference results with more improved reliability.

Republic of Korea Patent Registration No. 10-2056822 (Title of Invention: Method and Device for Providing Learning Services)

Therefore, the present invention has been devised to solve the above problems, and based on the diagnostic evaluation records of new learners, the understanding value for each curriculum is inferred, and future learning and teaching are performed according to the inferred understanding value for each curriculum. Through a configuration in which customized recommendation information is provided to guide students, it is possible to achieve higher reliability in providing recommendation information for new learners, and accordingly, to provide new learners and teachers with personalized learning and teaching in the future. The purpose is to provide an artificial intelligence tutoring system that utilizes inference of understanding by curriculum based on diagnostic evaluation data for new learners that can achieve a management environment for guidance more efficiently.

However, the technical problem to be achieved in the present invention is not limited to the above-mentioned technical problems, and other technical problems not mentioned will become clear to those skilled in the art from the description below. You will be able to understand.

The present invention, which is a technical means for achieving the above object, remotely connects the first terminal of the new learner and the second terminal of the teacher to support the new learner's learning and the teacher's teaching in a non-face-to-face environment In the artificial intelligence tutoring system, while communicating by establishing a network with the first and second terminals, the web, and an external server, record data about the diagnostic evaluation performed by a new learner is obtained from the first terminal, and the obtained record data Based on this, the value of understanding for each curriculum is estimated, and the estimated value of understanding is matched with the data for learning management specified in advance to generate customizing information to guide the future learning of the new learner and the future teaching of the teacher. , a control unit for outputting a preset notification signal according to the customization information; and a notification unit provided in the first and second terminals and visually displaying the notification signal on an arbitrary screen according to the notification signal output from the control unit.

In addition, the customizing information may include data for a customized learning/teaching guide for at least one of understanding visualization, recommended contents, and recommended evaluation items.

In addition, the control unit may include: a data generator that obtains record data about the diagnostic evaluation performed by the new learner from the first terminal; a database unit for storing and managing the record data acquired by the data generator and the learning management data designated in advance by the second terminal; an understanding level estimator for estimating an understanding level value for each curriculum using a pre-programmed algorithm based on the recorded data stored in the database unit; and a notification for generating the customizing information by matching the understanding level value estimated by the understanding level estimating unit with the learning management data stored in the database unit, and controlling the output of a notification signal corresponding to the generated customizing information. It may include a signal output unit.

In addition, the data generation unit detects the grade and month information of the new learner from the first terminal, and in relation to mathematics, for five learning areas preset as numbers, operations, figures, measurements, regularities, and data and possibilities. The record data may be obtained by setting a curriculum list based on the first understanding level of the new learner and the detected grade and month information, and performing a loop consisting of four steps as long as the diagnostic evaluation length.

In addition, the loop of the data generator may include a first step of sampling a curriculum from the set curriculum list; a second step of sampling items corresponding to the curriculum sampled through the first step; a third step of sampling correct answers by comparing the level of difficulty of the questions sampled through the second step with the second understanding level of the new learner; and a fourth step of adding the correct or incorrect answers sampled through the third step to the diagnostic evaluation log.

In addition, the second level of understanding may be based on the first level of understanding, and the data generating unit calculates the difficulty of the item and the second level of understanding in relation to the third step of the loop using the following calculation formula.

PROB = sigmoid((2nd comprehension level - difficulty) * slope * 10) * (1 - guessing - slip) + guessing

, it is possible to determine the correct answer by sampling after calculating the probability of the new learner correcting the question, and in relation to the constants slope, guessing, and slip included in the calculation formula, the slope is the slope of the correct answer rate, The larger the slope, the more rapidly the rate of correct answers changes according to the second level of understanding. The guessing means the probability that the new learner randomly selects an answer and guesses correctly, and the slip means that the new learner has the correct answer. , but it can mean the probability of being wrong (the probability of making a mistake).

In addition, when the isALL option of the algorithm is True, the understanding level estimation unit propagates the level of understanding value according to a rule set in advance based on the curriculum map in order to learn the level of understanding value of all curriculums while allowing the level of understanding of the entire curriculum value can be estimated.

In addition, the rule is configured to estimate the understanding value of the curricula located between the two curricula for which the understanding value is set, so that the understanding value of the curriculum to be learned later increases gradually based on the set understanding value of the two curricula a first rule for estimating a degree value; a second rule configured to estimate an understanding value of a curriculum learned prior to a curriculum with a set understanding value, and estimating a higher understanding value than that of a curriculum having the highest understanding value among succeeding nodes; a third rule configured to estimate an understanding value of a curriculum to be learned after the curriculum for which the understanding value is determined, and estimating a value lower than that of a curriculum having the lowest understanding value among preceding nodes; And even if the first, second, and third rules are followed, the understanding value is configured to fill the understanding value of the curriculum that is not connected to the estimated curriculum, and the corresponding curriculum is not connected to the curriculum whose understanding value is estimated Since there is no separate estimation method, a fourth rule for estimating an understanding value of 0 or 1 according to the location may be included.

The artificial intelligence tutoring system using the inference of understanding by curriculum based on diagnostic evaluation data for new learners according to the present invention estimates the understanding value for each curriculum based on the diagnostic evaluation record of new learners, and Through a configuration in which customized information to guide future learning and teaching is provided according to the value of understanding, it is possible to achieve more reliable reliability in providing customized information to new learners, and accordingly, to new learners and teachers. It has the effect of achieving a management environment for guiding each customized learning and teaching more efficiently in the future.

However, the effects obtainable in the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below. You will be able to.

1 is a diagram showing an external configuration and example of use of an artificial intelligence tutoring system using inference of understanding level for each curriculum based on diagnostic evaluation data for new learners according to an embodiment of the present invention.
Figure 2 is a block diagram schematically showing the electronic configuration of the artificial intelligence tutoring system.
FIG. 3 is a diagram and image showing a service architecture of a DDKT (Deep Diagnosis Knowledge Tracing) model in which the control unit according to FIG. 2 is actually implemented;
4 is a graph related to a third step of a loop performed by the data generation unit of the control unit according to FIG. 2;
5 is an image related to the first rule in the understanding level estimation unit of the control unit according to FIG. 2;
6 is an image related to the second rule in the understanding level estimation unit of the control unit according to FIG. 2;
7 is an image related to a third rule in the understanding level estimation unit of the controller according to FIG. 2;
8 is an image related to a fourth rule in the understanding degree estimation unit of the control unit according to FIG. 2;
9 is an exemplary use diagram illustrating an example in which visualized data of understanding among customized information by a control unit of the artificial intelligence tutoring system is displayed on a notification unit in relation to the present invention.

Hereinafter, with reference to the accompanying drawings, embodiments of the present invention will be described in detail so that those skilled in the art can easily carry out the present invention. However, since the description of the present invention is only an embodiment for structural or functional description, the scope of the present invention should not be construed as being limited by the embodiments described in the text. That is, since the embodiment can be changed in various ways and can have various forms, it should be understood that the scope of the present invention includes equivalents capable of realizing the technical idea. In addition, since the object or effect presented in the present invention does not mean that a specific embodiment should include all of them or only such effects, the scope of the present invention should not be construed as being limited thereto.

The meaning of terms described in the present invention should be understood as follows.

Terms such as "first" and "second" are used to distinguish one component from another, and the scope of rights should not be limited by these terms. For example, a first element may be termed a second element, and similarly, a second element may be termed a first element. It should be understood that when an element is referred to as “connected” to another element, it may be directly connected to the other element, but other elements may exist in the middle. On the other hand, when an element is referred to as being “directly connected” to another element, it should be understood that no intervening elements exist. Meanwhile, other expressions describing the relationship between components, such as “between” and “immediately between” or “adjacent to” and “directly adjacent to” should be interpreted similarly.

Singular expressions should be understood to include plural expressions unless the context clearly dictates otherwise, and terms such as “comprise” or “having” refer to a described feature, number, step, operation, component, part, or It should be understood that it is intended to indicate that a combination exists, and does not preclude the possibility of the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

All terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs, unless defined otherwise. Terms defined in commonly used dictionaries should be interpreted as consistent with meanings in the context of related art, and cannot be interpreted as having ideal or excessively formal meanings unless explicitly defined in the present invention.

1 is a diagram showing the external configuration and example of use of an artificial intelligence tutoring system using inference of understanding by curriculum based on diagnostic evaluation data for new learners according to an embodiment of the present invention, and FIG. 2 is a diagram of the artificial intelligence tutoring system FIG. 3 is a block diagram schematically illustrating an electronic configuration, and FIG. 3 is a diagram and image exemplarily showing a service architecture of a DDKT (Deep Diagnosis Knowledge Tracing) model in which the control unit according to FIG. 2 is actually implemented, and FIG. 4 is FIG. 2 is a graph related to the third step of the loop performed by the data generation unit of the control unit according to, FIG. 5 is an image related to the first rule in the understanding degree estimation unit of the control unit according to FIG. 2, and FIG. 7 is an image related to the third rule in the understanding degree estimation unit of the control unit according to FIG. 2, and FIG. It is an image related to the fourth rule in the understanding level estimation unit, and FIG. 9 is a usage example showing an example in which the understanding level visualization data among the customization information by the control unit of the artificial intelligence tutoring system is displayed on the notification unit in relation to the present invention. am.

As shown in FIGS. 1 and 2, the artificial intelligence tutoring system 100 using the inference of understanding for each curriculum based on the diagnostic evaluation data for new learners according to the present invention (100) In the artificial intelligence tutoring system for supporting learning and teaching of the teacher (T), a first terminal 110, a second terminal 120, a web 130, an external server 140, a control unit 150 and It can be configured to include a notification unit 160.

However, the components shown in FIGS. 1 and 2 are only the minimum configuration essential for the present invention, and an artificial intelligence tutoring system having more additional components may be implemented.

The first terminal 110 is configured to include various known input devices (not shown) such as a keyboard, a pad, and a mouse. According to a preferred embodiment of the present invention, it is located on the new learner (L) and is An input environment for inputting grade and month information for (L)'s diagnostic evaluation to the web 130, external server 140, and control unit 150 is provided.

In addition, the second terminal 120 is configured to remotely communicate with the above-described first terminal 110, and may have the same components as the first terminal 110, and according to the present invention, It is located in the teacher T to provide an input environment in which the teacher T can input learning management data to be described later to the web 130, the external server 140, and the control unit 150.

Here, the first and second terminals 110 and 120 may be configured in plurality, and preferably, a tablet may be applied, but it is not limited thereto, and a PC, a smart phone, and the like may be applied.

Since the configurations of the first and second terminals 110 and 120 correspond to general terminal devices, detailed configurations are not shown in the drawings, and detailed descriptions thereof will be omitted.

The web 130 is an Internet service configured to support various multimedia such as text, graphics, images, sound, and video. According to the present invention, the web 130 is connected to the first and second terminals 110 and 120, It can be configured so that various known educational contents are provided to new learners (L) and teachers (T) who respectively use the 2 terminals (110, 120).

Preferably, the external server 140 is configured to correspond to the aforementioned web 130 and forms a network with the first and second terminals 110 and 120, the web 130, and the control unit 150. In conjunction with (130), it performs a function of servicing a preset program to the control unit 150.

Here, the program may be an educational program composed of various data related to education, which is a well-known technology and can be freely modified and designed by a person skilled in the art having general knowledge in the related field.

Referring to FIG. 3 , the control unit 150 builds a network with the first and second terminals 110 and 120, the web 130, and the external server 140 to communicate, and receives new information from the first terminal 110. Acquire record data about the diagnostic evaluation conducted by the learner (L), estimate the value of understanding for each curriculum based on the acquired record data, and match the estimated value of understanding with the data for learning management specified in advance to generate customizing information for guiding future learning of the new learner (L) and future teaching of the teacher (T), and performs a function of outputting a preset notification signal according to the customizing information.

More specifically, the control unit 150 includes a data generation unit 151 that obtains record data about the diagnostic evaluation performed by the new learner L from the first terminal 110; a database unit 152 that stores and manages the record data obtained by the data generator 151 and data for learning management designated in advance by the second terminal 120; an understanding level estimator 153 for estimating an understanding level value for each curriculum using a pre-programmed algorithm based on the recorded data stored in the database unit 152; and matching the understanding value estimated by the understanding level estimation unit 153 with learning management data stored in the database unit 152 to generate the customized information, and a notification signal corresponding to the generated customized information. It may be configured to include a notification signal output unit 154 for controlling to be output.

Here, the learning management data is configured to correspond to the diagnostic evaluation record data of the new learner (L) that changes in real time, so that the teacher (T) becomes an index for learning management of the new learner (L). As data, it may be pre-specified while being input through an input device (not shown) of the second terminal 120 used by the teacher T, and may be pre-specified by being input to the web 130 and the external server 140. It can be.

At this time, the learning management data is data that quantifies learning behavior and patterns occurring in the learning process, subject understanding level, total amount and pattern of learning amount by period, statistical distribution and trend of grades, causes and prescriptions for them, and three types of learning (learning strategy, learning motivation, learning maladjustment), 1 career/aptitude (interest, aptitude), 4 personality/personality (interpersonal environment, academic stress, self-esteem, emotional behavior) It is desirable to include recorded data and the like.

According to the present invention, the learning management data can be quantified based on the international standard (IMS Caliper), and the AI analysis service program currently commercialized on the web 130 or external server 140, "Home run AI life record book" It may be extracted through the sharing of ", and it is of course possible to design various modifications by those skilled in the art within the technical scope of the present invention.

The home run AI life record is a learning analysis service provided by Ice Cream Edu Co., Ltd., and has been certified for the IMS Caliper Analytics 1.1 standard by the IMS Global Learning Consortium. In summary, it is a technology provided to learners and teachers (T) as visual data in the form of an ePortfolio.

Furthermore, the customizing information may include data for a customized learning/teaching guide for at least one of understanding visualization, recommended content, and recommended evaluation items, and among the customizing information, the understanding visualization data is as shown in FIG. Likewise, it can be displayed on the screen of the notification unit 160.

On the other hand, according to the present invention, the data generator 151 detects the grade and month information of the new learner L from the first terminal 110, and in relation to mathematics, numbers, operations, figures, measurements, and regularities and a curriculum list based on the first level of understanding of the new learner (L) for the five learning areas (see FIG. 9) set in advance with materials and possibilities and the detected grade and month information, and set the length of the diagnosis evaluation. The record data may be obtained by performing a loop consisting of four steps.

In addition, the loop of the data generator 151 includes a first step of sampling a curriculum from the set curriculum list; a second step of sampling items corresponding to the curriculum sampled through the first step; a third step of sampling correct or incorrect answers by comparing the level of difficulty of the questions sampled through the second step with the second understanding level of the new learner (L); and a fourth step of adding the correct or incorrect answers sampled through the third step to the diagnostic evaluation log.

Here, the second level of understanding may be based on the above-described first level of understanding, and the data generating unit 151 determines the level of difficulty and difficulty of the item as shown in FIG. 4 in relation to the third step of the loop. The second level of understanding is calculated by the following formula

PROB = sigmoid((2nd comprehension level - difficulty) * slope * 10) * (1 - guessing - slip) + guessing

, it is possible to determine the correct answer by sampling after calculating the probability of the new learner (L) correcting the question, and in relation to the constants slope, guessing, and slip included in the calculation formula, the slope is the slope of the correct answer rate As the slope increases, the percentage of correct answers rapidly changes according to the second level of understanding, and the guessing means the probability that the new learner L randomly selects an answer and guesses correctly, and the slip means that the new learner L randomly selects an answer It may mean the probability that the learner (L) knows the correct answer but is wrong (probability of making a mistake).

In addition, according to the present invention, the understanding level estimator 153, if the isALL option of the algorithm is True, the level of understanding value according to a rule set in advance based on the curriculum map in order to learn the level of understanding value of all curriculums It is desirable to estimate the understandability value of the entire curriculum while allowing it to be disseminated.

At this time, the rule is configured to estimate the understanding value of the curriculum located between the two curricula for which the understanding value is set, so that the understanding value of the curriculum to be learned later increases gradually based on the set understanding value of the two curricula. a first rule for estimating a value; a second rule configured to estimate an understanding value of a curriculum learned prior to a curriculum with a set understanding value, and estimating a higher understanding value than that of a curriculum having the highest understanding value among succeeding nodes; a third rule configured to estimate an understanding value of a curriculum to be learned after the curriculum for which the understanding value is determined, and estimating a value lower than that of a curriculum having the lowest understanding value among preceding nodes; And even if the first, second, and third rules are followed, the understanding value is configured to fill the understanding value of the curriculum that is not connected to the estimated curriculum, and the corresponding curriculum is not connected to the curriculum whose understanding value is estimated Since there is no separate estimation method, it may be configured to include a fourth rule for estimating the understanding value to 0 or 1 according to the location.

The notification unit 160 visually displays preset text and images on an arbitrary screen according to a notification signal output from the notification signal output unit 154 of the control unit 150. Preferably, the new learner It is preferable to be configured to be provided in the first terminal 110 of (L) and the second terminal 120 of the teacher (T), respectively.

The notification unit 160 may include a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), and a flexible display. It may be configured to include at least one of (flexible display) and 3D display.

Detailed descriptions of the preferred embodiments of the present invention disclosed as described above are provided to enable those skilled in the art to implement and practice the present invention. Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art will understand that the present invention can be variously modified and changed without departing from the scope of the present invention. For example, those skilled in the art can use each configuration described in the above-described embodiments in a manner of combining with each other. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

The present invention may be embodied in other specific forms without departing from the spirit and essential characteristics of the present invention. Accordingly, the above detailed description should not be construed as limiting in all respects and should be considered as illustrative. The scope of the present invention should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent scope of the present invention are included in the scope of the present invention. The invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein. In addition, claims that do not have an explicit citation relationship in the claims may be combined to form an embodiment or may be included as new claims by amendment after filing.

100: AI tutoring system
110: first terminal
120: second terminal
130: web
140: external server
150: control unit
151: data generation unit
152: database unit
153: understanding level estimation unit
154: notification signal output unit
160: notification unit
L: new learner
T: teacher

Claims (8)

In an artificial intelligence tutoring system for remotely connecting a new learner's first terminal and a teacher's second terminal to support the new learner's learning and the teacher's teaching in a non-face-to-face environment,
While communicating by establishing a network with the first and second terminals, the web, and an external server, record data about the diagnostic evaluation performed by the new learner is obtained from the first terminal, and understanding of each curriculum is based on the obtained record data. A degree value is estimated, and customized information for guiding future learning of the new learner and future teaching of the teacher is generated by matching the estimated understanding value with pre-designated data for learning management, and according to the customizing information, in advance a control unit outputting a set notification signal; and
A notification unit provided in the first and second terminals to visually display on an arbitrary screen according to a notification signal output from the control unit;
The customization information,
Characterized in that it includes data for a customized guide for learning/teaching at least one of understanding visualization, recommended content, and recommended evaluation questions,
The control unit,
a data generating unit acquiring record data about the diagnostic evaluation performed by the new learner from the first terminal;
a database unit for storing and managing the record data acquired by the data generator and the learning management data designated in advance by the second terminal;
an understanding level estimator for estimating an understanding level value for each curriculum using a pre-programmed algorithm based on the recorded data stored in the database unit; and
A notification signal for generating the customizing information by matching the understanding value estimated by the understanding level estimator with the learning management data stored in the database unit, and controlling the output of a notification signal corresponding to the generated customizing information. Characterized in that it includes an output unit,
The data generator,
The first terminal detects the grade and month information of the new learner from the first terminal, and the new learner's first understanding of the five learning areas preset as numbers, operations, figures, measurements, regularities, and data and possibilities in relation to mathematics. It is characterized by setting a curriculum list based on the level and the detected grade and month information, and obtaining the record data by performing a loop consisting of four steps as long as the length of the diagnosis evaluation,
The loop of the data generating unit,
A first step of sampling a curriculum from the set curriculum list;
a second step of sampling items corresponding to the curriculum sampled through the first step;
a third step of sampling correct answers by comparing the level of difficulty of the questions sampled through the second step with the second understanding level of the new learner; and
It is characterized in that it consists of a fourth step of adding the correct or incorrect answers sampled through the third step to the diagnostic evaluation log,
The second level of understanding is,
Characterized in that it is based on the first level of understanding,
The data generator,
In relation to the third step of the loop, the difficulty of the item and the second understanding level are calculated by the following formula
PROB = sigmoid((2nd comprehension level - difficulty) * slope * 10) * (1 - guessing - slip) + guessing
It is characterized in that the probability of the new learner correcting the item is calculated and then sampling is performed to determine whether the correct answer is correct or not,
Regarding the constants slope, guessing, and slip included in the above calculation formula,
The slope is the slope of the correct answer rate, and the larger the slope, the more rapidly the correct answer rate changes according to the second level of understanding,
The guessing means the probability that the new learner randomly selects an answer and guesses it (probability of guessing),
The slip is characterized in that the new learner knows the correct answer but means the probability of being wrong (probability of making a mistake),
The understanding level estimation unit,
When the isALL option of the algorithm is True, the understanding value of the entire curriculum is estimated while the understanding value is propagated according to a rule set in advance based on the curriculum map in order to learn the understanding value of all the curriculum ,
The rule is
It is configured to estimate the understanding value of the curricula located between the two curricula for which the understanding value is determined, and based on the determined understanding value of the two curricula, the understanding value of the curriculum to be learned later gradually increases. 1 rule;
a second rule configured to estimate an understanding value of a curriculum learned prior to a curriculum with a set understanding value, and estimating a higher understanding value than that of a curriculum having the highest understanding value among succeeding nodes;
a third rule configured to estimate an understanding value of a curriculum to be learned after the curriculum for which the understanding value is determined, and estimating a value lower than that of a curriculum having the lowest understanding value among preceding nodes; and
Even if the first, second, and third rules are followed, the understanding value is configured to fill the understanding value of the curriculum that is not connected to the estimated curriculum, and the corresponding curriculum is not connected to the curriculum with the estimated understanding value Since there is no separate estimation method, an artificial intelligence tutoring system using inference of understanding by curriculum based on diagnostic evaluation data for new learners, characterized by including a fourth rule for estimating the value of understanding as 0 or 1 depending on the location . delete delete delete delete delete delete delete

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