CN115527404A - Artificial intelligence self-adaptation interactive teaching system - Google Patents
Artificial intelligence self-adaptation interactive teaching system Download PDFInfo
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- CN115527404A CN115527404A CN202211133090.2A CN202211133090A CN115527404A CN 115527404 A CN115527404 A CN 115527404A CN 202211133090 A CN202211133090 A CN 202211133090A CN 115527404 A CN115527404 A CN 115527404A
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- 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
- G09B5/00—Electrically-operated educational appliances
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
- G09B5/14—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
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- 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
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
- G06F16/367—Ontology
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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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
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- 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
Abstract
The invention discloses an artificial intelligence self-adaptive interactive teaching system, which comprises an interactive teaching module, a dynamic dialogue module and a learning module, wherein the interactive teaching module is used for realizing interactive teaching in a mode of playing teaching video and carrying dynamic dialogue and realizing real-time tracking of learning progress; the information processing module is internally provided with an artificial intelligence algorithm model and determines the push training test questions according to the learning state of the students; the learning obstacle point detection module is used for calling corresponding learning condition detection test questions and a learning obstacle point detection model to realize the detection of the learning obstacle points of the user to obtain the learning obstacle points of the user; a learning material configuration module; and a learning task generation module. According to the artificial intelligence self-adaptive interactive teaching system, the learning content of the students can be determined according to the learning state and other information of the students, corresponding learning resources are configured for each user according to different learning barrier points, the condition of missing of knowledge points caused by the conditions of small opening difference and the like in the learning process is well avoided, and the learning efficiency is improved.
Description
Technical Field
The invention relates to the technical field of teaching systems, in particular to an artificial intelligence self-adaptive interactive teaching system.
Background
The learning concept of adaptive education has existed for a long time, and in recent years, with the application of artificial intelligence in the education industry, adaptive education based on artificial intelligence is developed. The self-adaptive education learning mode can collect the learning data of students in real time, evaluate the learning content of the students, realize the personalized learning of thousands of people and thousands of faces and improve the learning efficiency. The self-adaptive education based on artificial intelligence is in an initial development stage in China at present, an industrial chain is immature, labor division is not clear, and the cognition degree of a user is low. With the mature technology and the rich effective data in the future, the adaptive education is expected to be applied in more disciplines and subdivision fields.
The existing self-adaptive education technology relies too much on traditional human-computer interaction tools such as a keyboard or a touch screen, and efficient, free and convenient human-computer communication is difficult to achieve; meanwhile, the existing adaptive education algorithm is slow in development, learning contents cannot be determined by fully utilizing information such as the learning state of a user, and the learning efficiency is low. Therefore, an artificial intelligence self-adaptive interactive teaching system is provided.
Disclosure of Invention
The invention mainly aims to provide an artificial intelligence self-adaptive interactive teaching system which can effectively solve the problems in the background technology.
In order to achieve the purpose, the invention adopts the technical scheme that:
an artificial intelligence self-adaptive interactive teaching system comprises an interactive teaching module, a learning module and a learning module, wherein the interactive teaching module is used for realizing interactive teaching in a mode of playing teaching video and carrying dynamic conversation and realizing real-time tracking of learning progress;
the information processing module is internally provided with an artificial intelligence algorithm model and determines the push training test questions according to the learning state of the students;
the learning obstacle point detection module is used for calling the corresponding learning condition detection test questions and the learning obstacle point detection model to realize the detection of the learning obstacle points of the user to obtain the learning obstacle points of the user;
the learning material configuration module is used for realizing the configuration of the learning materials of the user according to the learning obstacle points obtained by detection, and each learning obstacle point corresponds to a group of learning materials;
a learning task generation module: and the learning system is used for generating corresponding learning tasks according to the learning materials corresponding to the learning obstacle points.
Preferably, the interactive teaching module includes:
the teaching video playing unit is used for playing the teaching video;
the learning state acquisition unit is used for acquiring face image information and sound information of students;
and the knowledge point questioning unit is used for displaying the training test questions corresponding to the knowledge points in a mode of popping up a dialog box according to the playing progress of the teaching video.
Preferably, the face image is acquired by a camera, and the sound information is acquired by a microphone.
Preferably, the information processing module includes:
the face state analysis unit is used for identifying the face image information by using a face identification algorithm to obtain the learning state;
the sound state analysis unit is used for identifying and processing the sound information by using a sound identification algorithm to obtain the sound text;
and the artificial intelligence calculation unit is used for pushing the training test questions according to the learning state by using a pre-constructed artificial intelligence algorithm model.
Preferably, the learning state includes one or more of face emotion information, face concentration information or face category information, and the voice recognition information includes voice text and acoustic features.
Preferably, the artificial intelligence algorithm model comprises:
the image action algorithm model is used for analyzing the learning state of the student and judging the learning concentration degree of the student;
and the knowledge map algorithm model is provided with a preset knowledge map and is used for determining the learning progress, the learning efficiency and the cognitive level of the student according to the sound text of the student, updating the knowledge map and determining the learning content to be pushed next step.
Preferably, the learning obstacle point detection model is obtained by training a learning condition detection test question and a corresponding knowledge point thereof by adopting an inclusion _ V4 neural network model.
Preferably, the artificial intelligence adaptive interactive teaching system further comprises:
the personal information registration module is used for registering personal name, age, grade, identification card number and mobile phone number information of the student;
the wrong question collecting module is used for collecting wrong questions existing in the interactive teaching and learning obstacle detection processes, and each wrong question carries corresponding analysis data;
and the background management module is used for providing a management interface for authorized personnel so as to manage and maintain the whole system.
Compared with the prior art, the invention has the following beneficial effects:
1. the voice information and the face image information of the student are obtained through the information processing module, the preset artificial intelligence algorithm model can automatically determine the learning state of the student according to the voice and the face expression of the student, and real-time feedback is carried out on the student through pushing the training questions, so that the condition of missing of knowledge points caused by the conditions of small opening difference and the like in the learning process can be well avoided, and the learning efficiency is improved;
2. according to the invention, the learning content of the student can be determined according to the learning state and other information of the student through the artificial intelligence algorithm model, so that the student can achieve a convenient and efficient learning effect, and the artificial intelligence algorithm model can be continuously self-optimized along with training through the self-adaptive learning algorithm, thereby achieving a better learning effect;
3. the method and the device can realize accurate mastering of the current learning obstacle point according to the learning progress of each user, so that corresponding learning resources can be configured for each user according to different learning obstacle points, the purpose of teaching according to the situation is really realized, and the learning efficiency is greatly improved.
Drawings
FIG. 1 is a block diagram of an artificial intelligence adaptive interactive teaching system according to the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front", "rear", "both ends", "one end", "the other end", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "disposed," "connected," and the like are to be construed broadly, such as "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Examples
An artificial intelligence adaptive interactive teaching system comprising:
the interactive teaching module is used for realizing interactive teaching in a mode of playing a teaching video and carrying dynamic conversation and realizing real-time tracking of learning progress;
the information processing module is internally provided with an artificial intelligence algorithm model and determines the push training test questions according to the learning state of the students;
the learning obstacle point detection module is used for calling corresponding learning condition detection test questions and a learning obstacle point detection model to realize the detection of the learning obstacle points of the user to obtain the learning obstacle points of the user;
the learning material configuration module is used for realizing the configuration of the learning materials of the user according to the learning obstacle points obtained by detection, and each learning obstacle point corresponds to a group of learning materials;
a learning task generation module: and the learning system is used for generating corresponding learning tasks according to the learning materials corresponding to the learning obstacle points.
The interactive teaching module comprises:
the teaching video playing unit is used for playing the teaching video;
a learning state acquisition unit for acquiring face image information and voice information of a student;
and the knowledge point questioning unit is used for displaying the training test questions corresponding to the knowledge points in a mode of popping up a dialog box according to the playing progress of the teaching video.
The face image is acquired through a camera, and the sound information is acquired through a microphone.
The information processing module includes:
the face state analysis unit is used for identifying the face image information by using a face identification algorithm to obtain the learning state;
the sound state analysis unit is used for identifying and processing the sound information by using a sound identification algorithm to obtain the sound text;
and the artificial intelligence calculation unit is used for pushing the training test questions according to the learning state by using a pre-constructed artificial intelligence algorithm model.
The learning state includes one or more of face emotion information, face concentration information, or face category information, and the voice recognition information includes voice text and acoustic features.
The artificial intelligence algorithm model comprises:
the image action algorithm model is used for analyzing the learning state of the student and judging the learning concentration degree of the student;
and the knowledge map algorithm model is provided with a preset knowledge map and is used for determining the learning progress, the learning efficiency and the cognitive level of the student according to the sound text of the student, updating the knowledge map and determining the learning content to be pushed next step.
The learning obstacle point detection model is obtained by training a learning condition detection test question and a corresponding knowledge point by adopting an inclusion _ V4 neural network model.
The artificial intelligence self-adaptive interactive teaching system further comprises:
the personal information registration module is used for registering personal name, age, grade, identification card number and mobile phone number information of the student;
the wrong question collecting module is used for collecting wrong questions existing in the interactive teaching and learning obstacle detection processes, and each wrong question carries corresponding analysis data;
and the background management module is used for providing a management interface for authorized personnel so as to manage and maintain the whole system.
The voice information and the face image information of the student are obtained through the information processing module, the preset artificial intelligence algorithm model can automatically determine the learning state of the student according to the voice and the face expression of the student, and real-time feedback is carried out on the student through pushing the training questions, so that the condition of missing of knowledge points caused by the conditions of small opening difference and the like in the learning process can be well avoided, and the learning efficiency is improved; the learning content of the students can be determined according to the learning state and other information of the students through the artificial intelligence algorithm model, so that the students can achieve convenient and efficient learning effect, and the artificial intelligence algorithm model can be continuously self-optimized along with training through the self-adaptive learning algorithm, so that better learning effect is achieved; the accurate grasping of the current learning obstacle point can be realized according to the learning progress of each user, so that corresponding learning resources can be configured for each user according to different learning obstacle points, the teaching according to the factors is truly realized, and the learning efficiency is greatly improved.
The foregoing shows and describes the general principles and features of the present invention, together with the advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. The utility model provides an artificial intelligence self-adaptation interactive teaching system which characterized in that: the method comprises the following steps:
the interactive teaching module is used for realizing interactive teaching in a mode of playing teaching video and carrying dynamic conversation and realizing real-time tracking of learning progress;
the information processing module is internally provided with an artificial intelligence algorithm model and determines the push training test questions according to the learning state of the students;
the learning obstacle point detection module is used for calling corresponding learning condition detection test questions and a learning obstacle point detection model to realize the detection of the learning obstacle points of the user to obtain the learning obstacle points of the user;
the learning material configuration module is used for realizing the configuration of the learning materials of the user according to the learning obstacle points obtained by detection, and each learning obstacle point corresponds to a group of learning materials;
a learning task generation module: and the learning system is used for generating corresponding learning tasks according to the learning materials corresponding to the learning obstacle points.
2. The system of claim 1, wherein the artificial intelligence adaptive interactive teaching system comprises: the interactive teaching module comprises:
the teaching video playing unit is used for playing the teaching video;
the learning state acquisition unit is used for acquiring face image information and sound information of students;
and the knowledge point questioning unit is used for displaying the training test questions corresponding to the knowledge points in a mode of popping up a dialog box according to the playing progress of the teaching video.
3. The system of claim 2, wherein the artificial intelligence adaptive interactive teaching system comprises: the face image is acquired through a camera, and the sound information is acquired through a microphone.
4. The system of claim 1, wherein: the information processing module includes:
the face state analysis unit is used for identifying the face image information by using a face identification algorithm to obtain the learning state;
the sound state analysis unit is used for identifying and processing the sound information by using a sound identification algorithm to obtain the sound text;
and the artificial intelligence calculation unit is used for pushing the training test questions according to the learning state by using a pre-constructed artificial intelligence algorithm model.
5. The system of claim 4, wherein the artificial intelligence adaptive interactive teaching system comprises: the learning state includes one or more of face emotion information, face concentration information, or face category information, and the voice recognition information includes voice text and acoustic features.
6. The system of claim 1, wherein: the artificial intelligence algorithm model comprises:
the image action algorithm model is used for analyzing the learning state of the student and judging the learning concentration degree of the student;
and the knowledge map algorithm model is provided with a preset knowledge map and is used for determining the learning progress, the learning efficiency and the cognitive level of the student according to the sound text of the student, updating the knowledge map and determining the learning content to be pushed next step.
7. The system of claim 1, wherein: the learning obstacle point detection model is obtained by training a learning condition detection test question and a corresponding knowledge point by adopting an inclusion _ V4 neural network model.
8. The system of claim 1, wherein: the artificial intelligence self-adaptive interactive teaching system further comprises:
the personal information registration module is used for registering personal name, age, grade, identification card number and mobile phone number information of the student;
the wrong question summarizing module is used for summarizing the wrong questions existing in the interactive teaching and learning barrier point detection processes, and each wrong question carries corresponding analysis data;
and the background management module is used for providing a management interface for authorized personnel so as to manage and maintain the whole system.
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| CN116580608A (en) * | 2023-04-27 | 2023-08-11 | 广东科技学院 | Artificial intelligence teaching system and artificial intelligence teaching method |
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