CN-121981468-A - Intelligent learning method based on AI and related device

Abstract

The application relates to the technical field of data processing and state evaluation, and provides an intelligent learning method based on AI and a related device, wherein the method comprises the steps of obtaining current learning content information of a target user and learning characteristic information of the target user; the method comprises the steps of determining online learning videos corresponding to target users according to current learning content information and learning characteristic information, obtaining learning process videos of the target users for learning the online learning videos, determining current learning state information of the target users according to the learning process videos, and determining learning state scoring values of the target users according to the learning state information, so that more accurate and comprehensive learning state assessment is facilitated, and the effectiveness of a learning process can be improved better.

Inventors

• ZHANG JING
• ZHU ZHOUXIAN

Assignees

• 重庆电子科技职业大学

Dates

Publication Date

20260505

Application Date

20260123

Claims (10)

1. 1. An AI-based intelligent learning method, the method comprising: acquiring current learning content information of a target user and learning characteristic information of the target user; determining online learning videos corresponding to the target users according to the current learning content information and the learning characteristic information; Acquiring a learning process video of the target user for learning the online learning video; determining current learning state information of the target user according to the learning process video; and determining the learning state grading value of the target user according to the learning state information.
2. 2. The AI-based intelligent learning method of claim 1, wherein the determining an online learning video corresponding to the target user from the current learning content information and the learning feature information comprises: determining learning action model parameter information corresponding to the target user according to the learning characteristic information; Extracting key information of the current learning content by adopting a large language model to obtain the key information of the learning content; constructing a learning content key information vector according to the learning content key information; determining action parameters of a learning action model according to the learning content key information vector; And constructing a video according to the learning action model parameter information and the action parameters to obtain the online learning video.
3. 3. The AI-based intelligent learning method of claim 2, wherein the determining learning action model parameter information corresponding to the target user from the learning feature information comprises: Determining target model preference information of the target user according to the learning characteristic information; and determining the learning action model parameter information according to the target model preference information.
4. 4. The AI-based intelligent learning method of claim 3 wherein the determining target model preference information for the target user based on the learning characteristic information comprises: Extracting clothing information and a first action gesture information set of the target user from the learning characteristic information; Determining first sub-model preference information according to the clothing information; performing action analysis according to the first action gesture information set to obtain k preferential action gestures; Determining model adaptation information corresponding to the k preferential action postures respectively to obtain k target model adaptation information; determining second sub-model preference information according to the k target model adaptation information; and carrying out fusion processing on the first sub-model preference information and the second sub-model preference information to obtain the target model preference information.
5. 5. The AI-based intelligent learning method of any of claims 1-4, wherein the determining current learning state information of the target user from the learning process video includes: Determining first learning gesture information of the target user according to the learning process video; Extracting a second action gesture information set and learning expression information of the target user according to the first learning gesture information; performing gesture clustering processing on the second action gesture information set to obtain n sub-action gesture information sets; acquiring gesture duration time corresponding to each action gesture information set in the n sub-action gesture information sets to obtain n target gesture duration time; constructing a learning gesture map by adopting n sub-action gesture information sets and n target gesture duration times; Determining first learning state information according to the learning posture map; Determining second learning state information according to the learning expression information; And carrying out fusion processing on the first learning state information and the second learning state information to obtain the current learning state information.
6. 6. The AI-based intelligent learning method of claim 5 wherein constructing a learning gesture map using the n sets of sub-action gesture information and the n target gesture durations comprises: carrying out gazing and focusing analysis by adopting n sub-action gesture information sets to obtain n gazing and focusing areas; constructing a gesture area of the gesture map according to the n gazing focusing areas to obtain an intermediate learning gesture map; Determining n gesture transfer distances and n gazing focusing area colors according to n target gesture duration times; And adjusting the middle learning gesture map according to the n gesture transfer distances and the n gazing focusing region colors to obtain the learning gesture map.
7. 7. An AI-based intelligent learning device, the device comprising: The first acquisition unit is used for acquiring current learning content information of the target user and learning characteristic information of the target user; a first determining unit, configured to determine an online learning video corresponding to the target user according to the current learning content information and the learning feature information; The second acquisition unit is used for acquiring a learning process video of the target user for learning the online learning video; The second determining unit is used for determining the current learning state information of the target user according to the learning process video; And a third determining unit configured to determine a learning state score value of the target user according to the learning state information.
8. 8. The AI-based intelligent learning device of claim 7, wherein the first determination unit is specifically configured to: determining learning action model parameter information corresponding to the target user according to the learning characteristic information; Extracting key information of the current learning content by adopting a large language model to obtain the key information of the learning content; constructing a learning content key information vector according to the learning content key information; determining action parameters of a learning action model according to the learning content key information vector; And constructing a video according to the learning action model parameter information and the action parameters to obtain the online learning video.
9. 9. A terminal comprising a processor, an input device, an output device, and a memory, the processor, the input device, the output device, and the memory being interconnected, wherein the memory is configured to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the AI-based intelligent learning method of any of claims 1-6.
10. 10. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to perform the AI-based intelligent learning method of any of claims 1-6.

Description

Intelligent learning method based on AI and related device Technical Field The application relates to the technical field of data processing and state evaluation, in particular to an intelligent learning method based on AI and a related device. Background Along with the rapid development of education informatization, the traditional learning mode gradually changes to an intelligent and personalized direction. However, the existing learning method has the defects that on one hand, the learning content is single in presentation form and mainly takes characters and static pictures, the interest is lacking, the learning interest of students is difficult to excite, on the other hand, the real-time monitoring and scientific evaluation of the learning state of the students are lacking in the learning process, the teacher or the students cannot know the learning effect accurately, and the learning strategy cannot be adjusted timely, so that the improvement of the learning efficiency is influenced. Therefore, how to better promote the effectiveness of the learning process becomes a current urgent problem to be solved. Disclosure of Invention The embodiment of the application provides an intelligent learning method based on AI and a related device, which can better promote the effectiveness of a learning process. A first aspect of an embodiment of the present application provides an AI-based intelligent learning method, including: acquiring current learning content information of a target user and learning characteristic information of the target user; determining online learning videos corresponding to the target users according to the current learning content information and the learning characteristic information; Acquiring a learning process video of learning online learning video of a target user; Determining current learning state information of a target user according to the learning process video; And determining the learning state scoring value of the target user according to the learning state information. In this example, by acquiring the current learning content information of the target user and the learning feature information of the target user, the online learning video corresponding to the target user may be determined according to the current learning content information and the learning feature information, and by acquiring the learning process video of the target user for learning the online learning video, the current learning state information of the target user may be further determined according to the learning process video, so that the learning state score value of the target user may be determined according to the learning state information, thereby facilitating more accurate and comprehensive learning state evaluation, and simultaneously, considering personalized adaptation of learning resources and facilitating improvement of the effectiveness of the learning process. A second aspect of an embodiment of the present application provides an AI-based intelligent learning apparatus, the apparatus including: The first acquisition unit is used for acquiring current learning content information of the target user and learning characteristic information of the target user; a first determining unit, configured to determine an online learning video corresponding to the target user according to the current learning content information and the learning feature information; The second acquisition unit is used for acquiring a learning process video of the target user for learning the online learning video; The second determining unit is used for determining the current learning state information of the target user according to the learning process video; And a third determining unit configured to determine a learning state score value of the target user according to the learning state information. A third aspect of the embodiments of the present application provides a terminal comprising a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory being interconnected, wherein the memory is adapted to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to execute the step instructions as in the first aspect of the embodiments of the present application. A fourth aspect of the embodiments of the present application provides a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute some or all of the steps as described in the first aspect of the embodiments of the present application. A fifth aspect of embodiments of the present application provides a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform part or all of the steps described in the