Quality-oriented education creative course visualization method and device based on artificial intelligence

Abstract

The invention belongs to the technical field of education creative curriculums, and provides a quality-oriented education creative curriculum visualization method and device based on artificial intelligence, and the method comprises the steps: automatically generating creative curriculum content fusing interdisciplinary knowledge according to an education target and student age features through employing natural language processing and knowledge graph technologies; an augmented reality (AR) and virtual reality (VR) technology is adopted, an artificial intelligence algorithm is combined, and a three-dimensional interactive teaching scene matched with course content is dynamically constructed; learning behaviors and effects of students are analyzed through machine learning, and personalized learning paths and difficulty adjustment are customized for each student; through an intelligent means, automatic fusion and innovation of interdisciplinary knowledge are realized, and a three-dimensional interactive teaching scene closely related to course content is constructed, so that the learning interest and creativity of students are stimulated; meanwhile, the learning path and difficulty adjustment of the student can be customized in a personalized manner, and the learning effect is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of educational creative courses, and specifically relates to a quality education creative course visualization method and device based on artificial intelligence. Background Art

[0002] Educational creativity courses are a curriculum system aimed at cultivating students' innovative thinking, practical operation ability and comprehensive quality. Currently, with the continuous development of artificial intelligence technology, its application in the field of education is becoming more and more extensive.

[0003] However, most of the existing quality-oriented education courses in primary and secondary schools still use traditional teaching methods, which are difficult to fully stimulate students' interest in learning and creativity.

[0004] To this end, those skilled in the art have proposed a quality education creative course visualization method and device based on artificial intelligence to solve the problems raised by the background technology. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a quality education creative course visualization method and device based on artificial intelligence to solve the problem that most quality education courses in primary and secondary schools in the prior art still adopt traditional teaching methods, which are difficult to fully stimulate students' learning interest and creativity.

[0006] A quality education creative course visualization method based on artificial intelligence, comprising:

[0007] S1. Using natural language processing and knowledge graph technology, according to educational goals and student age characteristics, automatically generate creative course content that integrates interdisciplinary knowledge; the specific workflow is as follows: First, the system uses natural language processing technology to analyze educational goals and student age characteristics to understand the required knowledge points and skill requirements; then, using knowledge graph technology, the system extracts knowledge points of related disciplines from a huge subject knowledge base, and automatically integrates related concepts and ideas in different disciplines through algorithms to generate interdisciplinary creative course content that is both in line with educational goals and forward-looking and innovative;

[0008] S2. Using augmented reality (AR) and virtual reality (VR) technologies, combined with artificial intelligence algorithms, dynamically constructs a three-dimensional interactive teaching scene that matches the course content. The specific workflow is as follows: the system first uses artificial intelligence algorithms to analyze and determine suitable teaching scene elements and interactive methods based on the generated creative course content; then, through augmented reality (AR) and virtual reality (VR) technologies, these elements are dynamically constructed in a three-dimensional form to form an interactive teaching scene that is closely related to the course content and attractive, thereby providing an immersive learning environment and enhancing students' learning experience;

[0009] S3. Analyze students' learning behaviors and results through machine learning, and customize personalized learning paths and difficulty adjustments for each student. The specific workflow is as follows: the system first collects students' behavioral data during the learning process, such as learning progress, answer accuracy, learning time, etc. Then, use machine learning algorithms to analyze these data to identify students' learning styles and results, and based on the analysis results, generate personalized learning paths for each student, including recommended learning content, learning sequence and learning rhythm, etc. At the same time, the system will also dynamically adjust the difficulty of the course according to the student's learning situation to ensure that students can learn at the rhythm and difficulty that best suits them, thereby improving learning results.

[0010] S4. Use artificial intelligence visual recognition technology to transform students’ learning outcomes into visual works, and provide instant feedback and improvement suggestions through an intelligent evaluation system. The specific workflow is as follows: After students complete their learning tasks, the works they submit are first parsed and identified by the system through artificial intelligence visual recognition technology, and transformed into digital visual works. Then, the system uses intelligent evaluation algorithms to automatically score and evaluate students’ works, analyzing the quality and shortcomings of the works. Then, based on the evaluation results, the system provides students with personalized feedback and improvement suggestions to help them identify their strengths and areas for improvement, and guide them to make further modifications and improvements.

[0011] Preferably, in step S1, on the basis of integrating interdisciplinary knowledge, an innovation point mining algorithm is introduced to automatically identify and integrate novel concepts and ideas in different disciplines to generate forward-looking and innovative course content.

[0012] Preferably, in step S2, an emotion recognition module is integrated into the scene construction to monitor students' emotional changes in real time, and dynamically adjust scene elements according to emotional data, including color, music, interactive methods, etc., to create a more comfortable and adaptive learning environment.

[0013] Preferably, in step S3, based on the analysis of students' learning behaviors and achievements, a learning style recognition algorithm is further introduced, including visual, auditory, hands-on, etc., to customize a personalized learning path for each student that is more in line with his or her learning style.

[0014] Preferably, in step S4, a result display platform is constructed that integrates various forms such as text, pictures, videos, AR / VR works, etc., so that students can choose a display method that suits them according to their interests and specialties.

[0015] Preferably, the specific description of step S4 is as follows: using artificial intelligence visual recognition technology and natural language processing technology to intelligently evaluate students' works and provide personalized feedback and improvement suggestions; at the same time, introducing a peer evaluation mechanism to encourage mutual learning and communication among students.

[0016] A quality education creative course visualization device based on artificial intelligence includes a server, a client device and a network communication module, and uses the above-mentioned quality education creative course visualization method based on artificial intelligence, including:

[0017] The course generation module is used to perform intelligent generation of course content;

[0018] Scenario building module, used to build interactive teaching scenarios;

[0019] Learning path planning module, used for personalized learning path planning;

[0020] The results display and evaluation module is used for visual display and intelligent evaluation of results.

[0021] A processor is configured to execute the above-mentioned quality education creative course visualization method based on artificial intelligence.

[0022] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned quality-oriented education creative course visualization method based on artificial intelligence.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] 1. The present invention can automatically generate creative course content that integrates interdisciplinary knowledge through natural language processing and knowledge graph technology, and introduces an innovation point mining algorithm to automatically identify and integrate novel concepts and ideas, thereby generating forward-looking and innovative course content; this greatly enriches teaching resources and cultivates students' interdisciplinary thinking and innovation capabilities.

[0025] 2. The present invention analyzes students' learning behaviors and achievements through machine learning, customizes personalized learning paths and difficulty adjustments for each student, and further introduces a learning style recognition algorithm to provide students with different learning styles with a learning experience that is more in line with their personal characteristics; this personalized learning method improves the pertinence and effectiveness of learning, and promotes the full development of students' individual potential.

[0026] 3. The present invention adopts augmented reality (AR) and virtual reality (VR) technologies, combined with artificial intelligence algorithms, to dynamically construct a three-dimensional interactive teaching scene that matches the course content, providing students with an immersive learning environment; this interactive teaching scene can stimulate students' learning interest and participation, and improve teaching effectiveness.

[0027] 4. The present invention transforms students' learning outcomes into visual works by using artificial intelligence visual recognition technology, and provides instant feedback and improvement suggestions through an intelligent evaluation system. At the same time, it introduces a peer evaluation mechanism to encourage mutual learning and communication among students. This instant feedback and intelligent evaluation mechanism helps students to understand their own learning situation in a timely manner, identify their strengths and weaknesses, and then adjust their learning strategies to improve learning outcomes.

[0028] 5. The present invention simplifies the process of course development and teaching management and improves teaching efficiency through automation and intelligent means; at the same time, due to the introduction of personalized learning and instant feedback mechanism, the learning quality and comprehensive quality of students are also significantly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a flow chart of the quality-oriented education creative curriculum visualization method based on artificial intelligence of the present invention;

[0030] Figure 2 This is a framework diagram of the quality-oriented education creative curriculum visualization system based on artificial intelligence of the present invention. DETAILED DESCRIPTION

[0031] The following embodiments of the present invention are described in further detail in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0032] Embodiment: The present invention provides a quality education creative course visualization method based on artificial intelligence, such as Figure 1 As shown, including:

[0033] S1. Using natural language processing and knowledge graph technology, according to educational goals and student age characteristics, automatically generate creative course content that integrates interdisciplinary knowledge; the specific workflow is as follows: First, the system uses natural language processing technology to analyze educational goals and student age characteristics to understand the required knowledge points and skill requirements; then, using knowledge graph technology, the system extracts knowledge points of related disciplines from a huge subject knowledge base, and automatically integrates related concepts and ideas in different disciplines through algorithms to generate interdisciplinary creative course content that is both in line with educational goals and forward-looking and innovative;

[0034] S2. Using augmented reality (AR) and virtual reality (VR) technologies, combined with artificial intelligence algorithms, dynamically constructs a three-dimensional interactive teaching scene that matches the course content. The specific workflow is as follows: the system first uses artificial intelligence algorithms to analyze and determine suitable teaching scene elements and interactive methods based on the generated creative course content; then, through augmented reality (AR) and virtual reality (VR) technologies, these elements are dynamically constructed in a three-dimensional form to form an interactive teaching scene that is closely related to the course content and attractive, thereby providing an immersive learning environment and enhancing students' learning experience;

[0035] S3. Analyze students' learning behaviors and results through machine learning, and customize personalized learning paths and difficulty adjustments for each student. The specific workflow is as follows: the system first collects students' behavioral data during the learning process, such as learning progress, answer accuracy, learning time, etc. Then, use machine learning algorithms to analyze these data to identify students' learning styles and results, and based on the analysis results, generate personalized learning paths for each student, including recommended learning content, learning sequence and learning rhythm, etc. At the same time, the system will also dynamically adjust the difficulty of the course according to the student's learning situation to ensure that students can learn at the rhythm and difficulty that best suits them, thereby improving learning results.

[0036] S4. Use artificial intelligence visual recognition technology to transform students’ learning outcomes into visual works, and provide instant feedback and improvement suggestions through an intelligent evaluation system. The specific workflow is as follows: After students complete their learning tasks, the works they submit are first parsed and identified by the system through artificial intelligence visual recognition technology, and transformed into digital visual works. Then, the system uses intelligent evaluation algorithms to automatically score and evaluate students’ works, analyzing the quality and shortcomings of the works. Then, based on the evaluation results, the system provides students with personalized feedback and improvement suggestions to help them identify their strengths and areas for improvement, and guide them to make further modifications and improvements.

[0037] From the above, we can see that this method not only realizes the automatic integration and innovation of interdisciplinary knowledge through intelligent means, but also constructs a three-dimensional interactive teaching scene closely related to the course content, thereby stimulating students' learning interest and creativity; at the same time, this method can personalize students' learning paths and difficulty adjustments, thereby improving learning effects; in addition, through artificial intelligence visual recognition technology and intelligent evaluation systems, students' learning outcomes are visualized and instantly fed back, which helps students clarify their strengths and weaknesses and promote further modification and improvement.

[0038] Furthermore, in the achievement display and evaluation module, in order to intelligently evaluate students' works and provide personalized feedback and improvement suggestions, an intelligent evaluation algorithm is introduced. The core of this algorithm is to evaluate the quality of students' works by calculating the similarity and difference between students' works and standard works. The formula is as follows:

[0039] Similarity calculation:

[0040] Among them, Sim(A,B) represents the similarity between work A and work B; a i and b i Respectively represent the performance of work A and work B on the i-th evaluation dimension; w i represents the weight of the i-th evaluation dimension; n represents the total number of evaluation dimensions;

[0041] Difference analysis: Diff(A,B)={d1,d2,...,d n};

[0042] Where Diff(A,B) represents the difference set between work A and work B; d i Indicates the difference between work A and work B on the i-th evaluation dimension;

[0043] By calculating similarities and differences, the intelligent assessment algorithm provides students with personalized feedback and improvement suggestions, helping them to identify their strengths and areas for improvement.

[0044] From the above, we can see that by introducing an intelligent evaluation algorithm to calculate the similarities and differences between student works and standard works, this method can accurately evaluate the quality of student works and provide personalized feedback and improvement suggestions accordingly; this effect not only helps students to identify their own strengths and weaknesses and further modify and improve their works, but also promotes mutual learning and communication among students, and improves the overall teaching effect and learning experience.

[0045] Furthermore, in step S1, on the basis of integrating interdisciplinary knowledge, an innovation point mining algorithm is introduced to automatically identify and integrate novel concepts and ideas in different disciplines to generate forward-looking and innovative course content. The innovation point mining algorithm includes calculating the correlation and novelty between knowledge points in different disciplines, and its formula is expressed as follows:

[0046] Correlation calculation: Among them, R(i,j) represents the correlation between subject i and subject j; C i and C j denote the knowledge point sets of subject i and subject j respectively; |·| denotes the number of elements in the set;

[0047] Novelty assessment: Among them, N(k) represents the novelty of knowledge point k; D(k,C i ) represents the average distance between knowledge point k and all knowledge points in subject i; n represents the total number of subjects;

[0048] By calculating relevance and novelty, the algorithm automatically selects forward-looking and innovative interdisciplinary knowledge points for generating course content.

[0049] From the above, we can see that by introducing the innovation point mining algorithm, this method can automatically identify and integrate novel concepts and ideas in different disciplines, and generate forward-looking and innovative course content. Its effect not only enriches the knowledge content of the course, but also cultivates students' interdisciplinary thinking and innovation ability, laying a solid foundation for the all-round development of students.

[0050] Furthermore, in step S2, an emotion recognition module is integrated into the scene construction to monitor the students' emotion changes in real time and dynamically adjust the scene elements, including color, music, interaction mode, etc., according to the emotion data to create a more comfortable and adaptive learning environment. The emotion recognition module includes an emotion recognition model, and its formula is as follows:

[0051] E = F(x);

[0052] Among them, E represents the recognized emotional state; F represents the emotion recognition model; x represents the feature vectors of students’ facial expressions, voices, etc.;

[0053] The emotion recognition model F is trained and optimized through machine learning algorithms (such as support vector machines, neural networks, etc.) to improve the accuracy and robustness of emotion recognition.

[0054] From the above, we can see that by integrating the emotion recognition module into the scene construction, this method can monitor students' emotional changes in real time and dynamically adjust scene elements such as color, music, and interaction methods according to the emotional data; it not only creates a more comfortable and adaptive learning environment, but also effectively improves students' learning experience and participation, and further stimulates students' interest and enthusiasm in learning.

[0055] Furthermore, in step S3, based on the analysis of students' learning behaviors and results, a learning style identification algorithm is further introduced, including visual, auditory, hands-on, etc., to customize a personalized learning path that better suits each student's learning style. The formula of the learning style identification algorithm is as follows:

[0056]

[0057] Among them, L s is the identified learning style, S is the set of learning styles, and B iis the i-th learning behavior characteristic of the student, P(sB i ) is given the behavior characteristic B i The conditional probability of learning style s.

[0058] From the above, we can see that by analyzing students' learning behaviors and achievements and introducing a learning style identification algorithm, this method can customize a personalized learning path for each student that is more in line with their personal learning style; this beneficial effect not only reflects the student-centered educational philosophy, but also significantly improves the pertinence and effectiveness of learning; by identifying students' visual, auditory, hands-on and other learning styles, the system can recommend more suitable learning content, sequence and rhythm, thereby helping students learn in a more natural and efficient way, accelerating the process of knowledge absorption and skill mastery.

[0059] Furthermore, in step S4, a result display platform is constructed that integrates various forms such as text, pictures, videos, AR / VR works, etc., so that students can choose a display method that suits them according to their interests and specialties.

[0060] Furthermore, the specific description of step S4 is as follows: using artificial intelligence visual recognition technology and natural language processing technology to intelligently evaluate students' works and provide personalized feedback and improvement suggestions; at the same time, introducing a peer review mechanism to encourage mutual learning and communication among students; the personalized feedback formula is as follows:

[0061] F n =R*M(Sim,Diff);

[0062] Where R*M represents a rule matching function, which matches the most appropriate feedback suggestion from the preset rule library according to the calculation results of similarity and difference; S im and Diff represent the similarity and difference calculated in the intelligent evaluation, respectively;

[0063] The formula of the peer review mechanism is as follows:

[0064] Mutual evaluation score calculation:

[0065] PS is the average score of students’ works in peer review; k represents the score of the kth peer on the student's work; N represents the number of peers participating in the mutual evaluation;

[0066] Mutual Evaluation Consistency Assessment:

[0067] Among them, C represents the consistency of mutual evaluation; σ represents the standard deviation of mutual evaluation scores; μ represents the average value of mutual evaluation scores;

[0068] By calculating the mutual evaluation scores and mutual evaluation consistency, the effectiveness of peer evaluation can be evaluated, and the mutual evaluation mechanism can be adjusted accordingly, such as increasing the number of mutual evaluation rounds, optimizing the scoring rules, etc.

[0069] From the above, we can see that by combining artificial intelligence visual recognition technology and natural language processing technology, this method can intelligently evaluate students' works and provide personalized feedback and improvement suggestions, which greatly improves the accuracy and efficiency of the evaluation; at the same time, the introduction of a peer evaluation mechanism encourages mutual learning and communication among students, which not only enhances students' sense of participation and belonging, but also promotes knowledge sharing and collision of ideas among students; the combination of personalized feedback and peer evaluation mechanism not only helps students understand their strengths and weaknesses more comprehensively, but also stimulates students' sense of competition and cooperation, and provides strong support for cultivating students' comprehensive quality and teamwork ability.

[0070] Working principle: By utilizing natural language processing and knowledge graph technology to automatically generate creative course content that integrates interdisciplinary knowledge, using augmented reality (AR) and virtual reality (VR) technology to build a three-dimensional interactive teaching scene, using machine learning to analyze students' learning behaviors and results to customize personalized learning paths, and using artificial intelligence visual recognition technology to visualize and intelligently evaluate the results, it can stimulate students' interest in learning and creativity and improve learning outcomes.

[0071] Furthermore, the effects (percentages) of the quality education creative course visualization method based on artificial intelligence in the embodiment and the current traditional teaching method (comparison ratio) are compared to obtain the following table:

[0072]

[0073]

[0074] It can be seen from the above table:

[0075] 1) The AI-based approach significantly improves students’ learning interest by about 40% compared to traditional methods through dynamic interactive scenarios and personalized content;

[0076] 2) This method encourages students to think innovatively. By integrating interdisciplinary knowledge and intelligent assessment feedback, the creativity training effect is improved by about 45% compared with traditional methods.

[0077] 3) With the help of natural language processing and knowledge graph technology, this method achieves efficient cross-disciplinary knowledge integration, which is about 75% higher than the traditional method;

[0078] 4) This method uses machine learning to analyze student behavior and achieves complete customization of personalized learning paths, which is not possible with traditional methods;

[0079] 5) Based on intelligent evaluation and dynamic adjustment, students’ learning effect is improved by about 20% compared with traditional methods;

[0080] 6) Combining augmented reality, virtual reality and intelligent feedback, students’ learning experience is significantly improved, and satisfaction is about 40% higher than traditional methods.

[0081] In summary, the method for visualizing creative courses in quality education based on artificial intelligence in the embodiment shows significant advantages over traditional teaching methods in terms of course content generation and integration, teaching scene construction, learning path and difficulty adjustment, learning outcome evaluation and feedback, teaching effect and learning experience, etc. These advantages help improve students' learning effects and comprehensive qualities and promote educational innovation and development.

[0082] A visualization device for creative courses in quality education based on artificial intelligence, such as Figure 2 As shown, it includes a server, a client device and a network communication module, and uses the above-mentioned quality education creative course visualization method based on artificial intelligence, including:

[0083] The course generation module is used to perform intelligent generation of course content;

[0084] Scenario building module, used to build interactive teaching scenarios;

[0085] Learning path planning module, used for personalized learning path planning;

[0086] The results display and evaluation module is used for visual display and intelligent evaluation of results.

[0087] The embodiment of the present application provides an electronic device, which is applicable to the above-mentioned quality-oriented education creative course visualization method based on artificial intelligence, including:

[0088] Memory, used to protect computer programs and data;

[0089] Processor, used to run system programs.

[0090] The embodiment of the present application provides a computer storage medium, which is applicable to the above-mentioned quality-oriented education creative course visualization system based on artificial intelligence, and performs hierarchical confidentiality management on the above-mentioned system and data in accordance with confidentiality management requirements.

[0091] Those skilled in the art will appreciate that the embodiments of the present application may be provided as a system or a computer program product. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0092] The present application is described with reference to the flowcharts and / or block diagrams of the devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0093] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0094] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0095] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0096] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0097] Computer readable media include permanent and non-permanent, removable and non-removable media, and can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include transitory media such as modulated data signals and carrier waves.

[0098] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, commodity or device including the elements.

[0099] The embodiments of the present invention are provided for the purpose of illustration and description. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations of the present invention. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A quality education creative course visualization method based on artificial intelligence, characterized in that: include: S1. Use natural language processing and knowledge graph technology to automatically generate creative course content that integrates interdisciplinary knowledge based on educational goals and student age characteristics; S2. Use augmented reality and virtual reality technologies, combined with artificial intelligence algorithms, to dynamically build three-dimensional interactive teaching scenes that match the course content; S3. Analyze students’ learning behaviors and results through machine learning, and customize personalized learning paths and difficulty adjustments for each student; S4. Use artificial intelligence visual recognition technology to transform students’ learning outcomes into visual works, and provide instant feedback and improvement suggestions through an intelligent evaluation system.

2. The method for visualizing creative courses in quality-oriented education based on artificial intelligence as claimed in claim 1, characterized in that: In step S1, on the basis of integrating interdisciplinary knowledge, an innovation point mining algorithm is introduced to automatically identify and integrate novel concepts and ideas in different disciplines to generate forward-looking and innovative course content.

3. The method for visualizing creative courses in quality-oriented education based on artificial intelligence as claimed in claim 1, characterized in that: In step S2, an emotion recognition module is integrated into the scene construction to monitor the students' emotion changes in real time and dynamically adjust the scene elements, including color, music, and interaction methods, according to the emotion data.

4. The method for visualizing creative courses in quality-oriented education based on artificial intelligence as claimed in claim 1, characterized in that: In step S3, based on the analysis of students' learning behaviors and results, a learning style recognition algorithm is further introduced, including visual, auditory, hands-on, etc., to customize a personalized learning path that better suits each student's learning style.

5. The method for visualizing creative courses in quality-oriented education based on artificial intelligence as claimed in claim 1, characterized in that: In step S4, a platform for displaying achievements in various forms, including text, pictures, videos, AR / VR works, etc., is constructed, so that students can choose a display method that suits them according to their interests and specialties.

6. The method for visualizing creative courses in quality-oriented education based on artificial intelligence as claimed in claim 1, characterized in that: The specific description of step S4 is as follows: using artificial intelligence visual recognition technology and natural language processing technology to intelligently evaluate students' works and provide personalized feedback and improvement suggestions; at the same time, introducing a peer evaluation mechanism to encourage mutual learning and communication among students.

7. A quality education creative course visualization device based on artificial intelligence, comprising a server, a client device and a network communication module, characterized in that: The method for visualizing creative courses of quality-oriented education based on artificial intelligence according to claims 1 to 6 comprises: The course generation module is used to perform intelligent generation of course content; Scenario building module, used to build interactive teaching scenarios; Learning path planning module, used for personalized learning path planning; The results display and evaluation module is used for visual display and intelligent evaluation of results.

8. A processor, characterized in that: The method is configured to execute the quality education creative course visualization method based on artificial intelligence according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, the method for visualizing creative courses for quality education based on artificial intelligence described in any one of claims 1 to 6 is implemented.

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