KR-20260063225-A - METHOD AND APPARATUS FOR PROVIDING EDUCATIONAL SERVICES USING GENERATIVE AI MODELS

KR20260063225AKR 20260063225 AKR20260063225 AKR 20260063225AKR-20260063225-A

Abstract

The present disclosure relates to a method for providing an educational service using a generative artificial intelligence model and an electronic device for performing the same. A method for an electronic device according to one embodiment to provide an educational service using a generative artificial intelligence model may include: a step of acquiring a learning target image including images of learning aids; a step of acquiring country information from a first artificial intelligence model by inputting the learning target image into a first artificial intelligence model that identifies country information corresponding to the learning target image based on the type of food object identified for each of the learning aid images when the acquired learning target image is input; and a step of generating a first composite image by superimposing a national flag image corresponding to the acquired country information onto the learning target image.

Inventors

김상희

Assignees

주식회사 아이디에이트

Dates

Publication Date: 20260507
Application Date: 20241030

Claims (10)

In a method for an electronic device to provide educational services using a generative artificial intelligence model, A step of acquiring a learning target image including images of learning aids; When the acquired learning target image is input, the method comprises the step of inputting the learning target image into a first artificial intelligence model that identifies country information corresponding to the learning target image based on the type of food object identified for each of the learning teaching aid images, thereby acquiring country information from the first artificial intelligence model; and A method comprising the step of generating a first synthetic image by superimposing a national flag image corresponding to the acquired country information onto the learning target image.
In paragraph 1, the above method A step of obtaining identification information regarding the type of food object from a second artificial intelligence model by inputting the learning target image into a second artificial intelligence model that outputs identification information regarding the type of food object appearing for each learning tool image of the learning target image when the learning target image is input; and A method comprising: a step of generating a second composite image by superimposing identification information regarding the type of food object identified for each of the learning aid images and food description information according to the identification information onto the first composite image based on user input regarding the acquired composite flag image.
In paragraph 2, the above method A step of outputting the second composite image generated above, along with outputting auxiliary composite images that can be displayed superimposed on the second composite image; and A method comprising the step of generating a third composite image by superimposing auxiliary composite images for the second composite image based on user input for the auxiliary composite images.
In paragraph 3, the above method Prior to the step of acquiring the above-mentioned learning target image, a step of outputting an educational service selection item including an AI diary service, an AR travel education service, and a travel postcard service as a selection item for the educational service; A step of executing a camera application based on user input for an AR travel education service among the education service selection items output above; and A method comprising the step of acquiring the learning target image based on user input regarding the camera screen provided in the camera application executed above.
In paragraph 4, the above method A step of providing an interface for creating an AI diary based on user input selecting the above AI diary service; A step of obtaining text information related to a user's diary and additional information regarding at least one of the time, season, and place of the text information related to the diary through an interface for generating the AI diary; A step of obtaining a generative diary image from a third artificial intelligence model by inputting the text information and additional information into a third artificial intelligence model that outputs a generative diary image matching the additional information and the text information when the acquired text information and the additional information are input; and A method comprising the step of outputting the above-mentioned generated diary image.
In an electronic device that provides educational services using a generative artificial intelligence model, display; Network interface; Memory for storing one or more instructions; and At least one processor that executes one or more of the above instructions; comprising, The above at least one processor executes the above one or more instructions, Acquire a learning target image including images of learning aids, and When the above-mentioned acquired learning target image is input, the learning target image is input into a first artificial intelligence model that identifies country information corresponding to the learning target image based on the type of food object identified for each of the above-mentioned learning tool images, thereby acquiring country information from the first artificial intelligence model. An electronic device that generates a first composite image by superimposing a national flag image corresponding to the above-mentioned acquired country information onto the above-mentioned learning target image.
In paragraph 6, the above at least one processor When the above-mentioned training target image is input, the above-mentioned training target image is input to a second artificial intelligence model that outputs identification information regarding the types of food objects appearing for each learning tool image of the above-mentioned training target image, thereby obtaining identification information regarding the types of food objects from the second artificial intelligence model. An electronic device that generates a second composite image by superimposing identification information regarding the types of food objects identified for each of the learning aid images and food description information according to the identification information onto the first composite image, based on user input regarding the above-mentioned acquired composite flag image.
In paragraph 6, the above at least one processor Along with outputting the second composite image generated above, auxiliary composite images that can be displayed superimposed on the second composite image are output, and An electronic device that generates a third composite image by superimposing auxiliary composite images for the second composite image based on user input for the auxiliary composite images.
In paragraph 8, the above at least one processor Prior to acquiring the above-mentioned learning target image, an educational service selection item including an AI diary service, an AR travel education service, and a travel postcard service is output as a selection item for the educational service, and Among the education service selection items output above, launch the camera application based on user input for the AR travel education service, and An electronic device that acquires the learning target image based on user input regarding the camera screen provided by the camera application executed above.
In a computer-readable recording medium storing a program that enables an electronic device to perform a method of providing educational services using a generative artificial intelligence model, A step of acquiring a learning target image including images of learning aids; When the acquired learning target image is input, the method comprises the step of inputting the learning target image into a first artificial intelligence model that identifies country information corresponding to the learning target image based on the type of food object identified for each of the learning teaching aid images, thereby acquiring country information from the first artificial intelligence model; and A computer-readable recording medium storing a program that enables the method to perform the step of generating a first synthetic image by superimposing a national flag image corresponding to the acquired country information onto the learning target image.

Description

Method and apparatus for providing educational services using generative AI models The present invention relates to a method and apparatus for providing educational services using a generative artificial intelligence model. More specifically, it relates to an educational service provision system that generates and manages customized educational content based on interaction with learning tools and user learning data, and a method of operation thereof. Recently, the provision of personalized educational content utilizing artificial intelligence (AI) technology has been gaining attention in the field of education. In particular, research is being conducted on ways to automatically generate educational content suitable for learners' levels and learning goals through generative AI models, thereby increasing learners' interest and engagement. However, existing education systems have been limited to providing standardized content, which has hindered their ability to accurately reflect the learning styles or levels of individual learners. Furthermore, there is a growing demand for methods that implement experience-based learning through interaction with teaching aids or enhance immersion using visual elements such as Augmented Reality (AR). Along with this, as the secure transmission of user data and personal information protection are strengthened, there is a need for technical mechanisms to safely store and manage data and learning records generated by generative AI models. Therefore, there is a demand for the development of a system capable of generating and managing appropriate educational content tailored to the individual learner's level and learning goals. FIG. 1 is a diagram schematically illustrating the process of an educational service providing system providing educational services using a generative artificial intelligence model according to one embodiment. FIG. 2 is a drawing showing a screen of an AI diary service provided by an electronic device according to one embodiment. FIG. 3 is a drawing showing a screen of an AR travel education service provided by an electronic device according to one embodiment. FIG. 4 is a flowchart of a method in which an electronic device according to one embodiment provides an educational service using a generative artificial intelligence model. FIG. 5 is a block diagram of an electronic device according to one embodiment. FIG. 6 is a block diagram of a server according to one embodiment. The terms used in this specification will be briefly explained, and the present disclosure will be described in detail. The terms used in this disclosure have been selected to be as widely used and general as possible, taking into account their functions within this disclosure; however, these terms may vary depending on the intent of those skilled in the art, case law, the emergence of new technologies, etc. Additionally, in specific cases, terms have been selected at the applicant's discretion, and in such cases, their meanings will be described in detail in the relevant description of the invention. Therefore, terms used in this disclosure should be defined not merely by their names, but based on their meanings and the overall content of this disclosure. When a part of a specification is described as "including" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components. Furthermore, terms such as "...part" or "module" as used in the specification refer to a unit that processes at least one function or operation, and this may be implemented in hardware or software, or as a combination of hardware and software. Embodiments of the present disclosure are described below with reference to the attached drawings so that those skilled in the art can easily implement them. However, the present disclosure may be embodied in various different forms and is not limited to the embodiments described herein. Furthermore, in order to clearly explain the present disclosure in the drawings, parts unrelated to the explanation have been omitted, and similar parts throughout the specification are denoted by similar reference numerals. FIG. 1 is a diagram schematically illustrating the process of an educational service providing system providing educational services using a generative artificial intelligence model according to one embodiment. According to one embodiment, the education service provision system (10) may include an electronic device (1000), a server (2000), and an electronic device (3000). However, it is not limited to the example described above, and it may include more components or be provided with fewer components. According to one embodiment, the education service provision system (10) can provide education services for students using at least one generative artificial intelligence model. According to one embodiment, the electronic device (1000) included in the education service provision system