Digital-intelligent five-dimensional integrated talent cultivation implementation method, device, equipment and medium

Abstract

The invention discloses a digital-intelligent five-dimensional integrated talent training implementation method, device, equipment and medium, and the method comprises the steps: generating dynamic contents based on a data model of a business scene, converting the dynamic contents into teaching resources, and forming a teaching resource library; financial data and business data are obtained in real time through a four-stream fusion platform, the financial data and the business data are integrated and fused, and a visual scene is built; acquiring student information, and generating personalized courses based on the student information, the teaching resource library and the visual scene; and intelligent teaching management is carried out based on personalized courses. According to the invention, dynamic personalized customization of teaching and real content is realized, and the teaching efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent teaching technology, and in particular to a method, device, equipment and medium for implementing digital and intelligent five-dimensional talent training. Background Art

[0002] Professional knowledge training is particularly important in modern society, especially in the training of financial talents, which involves a lot of content. The traditional teaching method is mainly to prepare courseware in advance and have teachers teach the courseware content. However, since each field has many branches and the knowledge required for each position is different, the existing educational resources and teaching methods have many limitations, making it difficult to achieve the systematic transmission and application of knowledge. In other words, the existing teaching methods have the problem of low teaching efficiency. Summary of the invention

[0003] Embodiments of the present invention provide a method, device, equipment and medium for implementing digital and intelligent five-dimensional talent training to improve teaching efficiency.

[0004] In order to solve the above technical problems, the present application embodiment provides a method for implementing digital and intelligent five-dimensional talent training, including:

[0005] Generate dynamic content based on the data model of the business scenario, and convert the dynamic content into teaching resources to form a teaching resource library;

[0006] Through the four-stream fusion platform, financial data and business data are obtained in real time, and the financial data and business data are integrated and fused to build a visualization scene;

[0007] Acquire student information, and generate personalized courses based on the student information, the teaching resource library and the visualization scene;

[0008] Intelligent teaching management is performed based on the personalized course.

[0009] Optionally, converting the dynamic content into teaching resources to form a teaching resource library includes:

[0010] Natural language processing and AI synthesis technology are used to generate teaching resources based on dynamic content. The teaching resources include AI videos, graphic explanations, and case analyses.

[0011] Optionally, the integrating and fusing the financial data and the business data to build a visualization scene includes:

[0012] By using ERP system integration, business data and financial data are integrated on the same platform to obtain business and financial integrated data;

[0013] Use Hadoop big data technology to process and analyze the business and financial integration data in real time to obtain analysis results;

[0014] Performing trend prediction on the analysis results by using a machine learning algorithm to obtain a trend prediction result;

[0015] The business-finance integration data, the analysis results and the trend forecast results are visualized using visualization tools to generate the visualization scene.

[0016] Optionally, the intelligent teaching management based on the personalized course includes:

[0017] Obtaining the teacher's teaching plan, dynamically adjusting the personalized course based on the teaching plan, and generating personalized teaching materials;

[0018] Use intelligent teaching equipment and virtual reality technology to teach and obtain classroom feedback from students;

[0019] Based on the students' classroom feedback, a teaching quality evaluation is conducted, and the personalized teaching materials are dynamically adjusted according to the evaluation results.

[0020] Optionally, the conducting of teaching quality evaluation based on the student classroom feedback content, and dynamically adjusting the personalized teaching materials according to the evaluation results includes:

[0021] Use natural language processing technology to automatically evaluate students' classroom feedback content.

[0022] In order to solve the above technical problems, the embodiment of the present application also provides a digital and intelligent five-dimensional talent training implementation device, including:

[0023] A content conversion module is used to generate dynamic content based on a data model of a business scenario, and convert the dynamic content into teaching resources to form a teaching resource library;

[0024] A scenario building module is used to obtain financial data and business data in real time through the four-stream fusion platform, integrate and fuse the financial data and the business data, and build a visualization scenario;

[0025] A course generation module, used to obtain student information and generate personalized courses based on the student information, the teaching resource library and the visualization scene;

[0026] The intelligent teaching module is used to perform intelligent teaching management based on the personalized course.

[0027] Optionally, the scene building module includes:

[0028] The data fusion unit is used to integrate business data and financial data on the same platform by means of ERP system integration to obtain business and financial integrated data;

[0029] A data analysis unit, used to use Hadoop big data technology to process and analyze the business-finance integration data in real time to obtain analysis results;

[0030] A trend prediction unit, used to perform trend prediction on the analysis result through a machine learning algorithm to obtain a trend prediction result;

[0031] The visualization unit is used to use visualization tools to visualize the business-finance integration data, the analysis results and the trend prediction results to generate the visualization scene.

[0032] Optionally, the intelligent teaching module includes:

[0033] A dynamic adjustment unit, used to obtain the teacher's teaching plan, dynamically adjust the personalized course based on the teaching plan, and generate personalized teaching materials;

[0034] Teaching unit, used to teach using intelligent teaching equipment and virtual reality technology, and obtain classroom feedback from students;

[0035] The evaluation unit is used to evaluate the teaching quality based on the students' classroom feedback content, and dynamically adjust the personalized teaching materials according to the evaluation results.

[0036] In order to solve the above technical problems, an embodiment of the present application also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned digital five-dimensional talent training implementation method are implemented.

[0037] In order to solve the above technical problems, an embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the above-mentioned digital five-dimensional talent training implementation method.

[0038] The digital and intelligent five-dimensional talent training implementation method, device, computer equipment and storage medium provided by the embodiment of the present invention generate dynamic content based on the data model of the business scenario, and convert the dynamic content into teaching resources to form a teaching resource library; through the four-stream fusion platform, financial data and business data are obtained in real time, and the financial data and business data are integrated and integrated to build a visualization scene; student information is obtained, and personalized courses are generated based on student information, teaching resource library and visualization scene; intelligent teaching management is performed based on personalized courses. Dynamic personalized customization of teaching combined with real content is achieved, which improves teaching efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0040] Figure 1 is an exemplary system architecture diagram to which the present application may be applied;

[0041] Figure 2 It is a flowchart of an embodiment of the digital and intelligent five-dimensional talent training implementation method of the present application;

[0042] Figure 3 It is a structural schematic diagram of an embodiment of a digital and intelligent five-dimensional talent training implementation device according to the present application;

[0043] Figure 4 It is a structural diagram of an embodiment of a computer device according to the present application. DETAILED DESCRIPTION

[0044] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by technicians in the technical field of the present application; the terms used in the specification of the application herein are only for the purpose of describing specific embodiments and are not intended to limit the present application; the terms "including" and "having" and any variations thereof in the specification and claims of the present application and the above-mentioned drawings are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of the present application or the above-mentioned drawings are used to distinguish different objects, not to describe a specific order.

[0045] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] See also Figure 1 ,like Figure 1 As shown, the system architecture 100 may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 is used to provide a medium for communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0048] Users can use terminal devices 101 , 102 , 103 to interact with server 105 via network 104 to receive or send messages, etc.

[0049] Terminal devices 101, 102, 103 can be various electronic devices with display screens and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III), MP4 (Moving Picture Experts Group Audio Layer IV), laptop computers, desktop computers, etc.

[0050] The server 105 may be a server that provides various services, such as a background server that provides support for web pages displayed on the terminal devices 101 , 102 , and 103 .

[0051] It should be noted that the digital and intelligent five-dimensional talent training implementation method provided in the embodiment of the present application is executed by a server, and accordingly, the digital and intelligent five-dimensional talent training implementation device is set in the server.

[0052] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. According to the implementation requirements, there may be any number of terminal devices, networks and servers. The terminal devices 101, 102, 103 in the embodiment of the present application may specifically correspond to application systems in actual production.

[0053] See also Figure 2 , Figure 2 A method for cultivating five-dimensional talents in digital intelligence provided by an embodiment of the present invention is shown. The method is applied in Figure 1 The server in is used as an example to illustrate the details as follows:

[0054] S201: Generate dynamic content based on the data model of the business scenario, and convert the dynamic content into teaching resources to form a teaching resource library.

[0055] In a specific optional implementation manner, converting dynamic content into teaching resources to form a teaching resource library includes:

[0056] Using natural language processing and AI synthesis technology, teaching resources are generated based on dynamic content. The teaching resources include AI videos, graphic explanations, and case analyses.

[0057] Specifically, in this embodiment, the enterprise business and process are dynamically constructed using a custom model based on the form of business scenarios, and the case is converted into teaching resources through the data model to form a resource library. Resource types include business cases, business scenarios, business processes, AI videos, graphics, case analysis, etc.

[0058] It should be noted that, in this embodiment, a corresponding teaching resource library can be automatically generated according to the needs of different students. A specific example is as follows:

[0059] Step 1: The user selects a suitable case based on the enterprise's business scenarios, such as business processes, business models, etc.

[0060] Step 2: Dynamically configure through custom models, users can select different business elements (such as process nodes, data flows, etc.).

[0061] Step 3: The system automatically generates teaching resources, including AI videos, graphic explanations, case studies, etc. The generated resource library is available for users to select and use.

[0062] Step 4: Integrate resources into courses or training programs to adapt to different teaching scenarios.

[0063] Among them, data modeling is used to automatically generate dynamic content based on the data model of business scenarios. Natural language processing (NLP) and computer vision are used to generate automatic video content. Resources are managed and retrieved through cloud storage and database technology.

[0064] S202: Through the four-stream fusion platform, financial data and business data are obtained in real time, and the financial data and business data are integrated to build a visualization scenario.

[0065] In a specific optional implementation, integrating and fusing financial data and business data to build a visualization scene includes:

[0066] By using ERP system integration, business data and financial data are integrated on the same platform to obtain business and financial integrated data;

[0067] Use Hadoop big data technology to process and analyze business and financial integration data in real time to obtain analysis results;

[0068] Perform trend prediction on the analysis results through machine learning algorithms to obtain trend prediction results;

[0069] Visualization tools are used to visualize business and financial integration data, analysis results, and trend forecast results to generate visualization scenarios.

[0070] Among them, through the four-flow (data flow, business flow, accounting flow, knowledge flow) fusion platform, financial data and business data, such as sales data, cost data, etc., are obtained in real time. Then, the collected data is deeply analyzed through the data analysis module to identify the correlation between key financial indicators and business performance.

[0071] Users can view financial analysis reports, business performance analysis, and financial forecasts and business recommendations generated by the system on a visual interface. The system provides strategic recommendations for optimizing financial structure and improving business efficiency based on user input or automatic system analysis results.

[0072] S203: Obtain student information, and generate personalized courses based on the student information, teaching resource library and visualization scene.

[0073] S204: Intelligent teaching management based on personalized courses.

[0074] In a specific optional implementation, intelligent teaching management based on personalized courses includes:

[0075] Obtain the teacher's teaching plan, dynamically adjust the personalized course based on the teaching plan, and generate personalized teaching materials;

[0076] Use intelligent teaching equipment and virtual reality technology to teach and obtain classroom feedback from students;

[0077] Conduct teaching quality evaluation based on students’ classroom feedback, and dynamically adjust personalized teaching materials according to the evaluation results.

[0078] Specifically, intelligent teaching equipment and virtual reality technology are used for teaching, and the classroom feedback from students includes:

[0079] Choose modular courses. Users can choose basic knowledge modules, practical skills modules or project practice modules according to their needs.

[0080] Watch course videos and complete online quizzes and assignments via an online platform;

[0081] The system dynamically adjusts course content based on learning progress and industry needs.

[0082] Optionally, based on the students' classroom feedback, conduct teaching quality evaluation and dynamically adjust personalized teaching materials according to the evaluation results, including:

[0083] Use natural language processing technology to automatically evaluate students' classroom feedback content.

[0084] Furthermore, when watching course videos through the online platform, VR / AR technology is used to provide a very interactive classroom experience, and electronic whiteboards, smart pens, etc. are used for interactive teaching.

[0085] It should be noted that this embodiment makes intelligent adjustments to the teaching material content based on the students' learning behavior, which is conducive to personalized teaching and improved teaching efficiency.

[0086] In this embodiment, dynamic content is generated based on the data model of the business scenario, and the dynamic content is converted into teaching resources to form a teaching resource library; through the four-stream fusion platform, financial data and business data are obtained in real time, and the financial data and business data are integrated and fused to build a visualization scene; student information is obtained, and personalized courses are generated based on student information, teaching resource library and visualization scene; intelligent teaching management is performed based on personalized courses. Dynamic personalized customization of teaching combined with real content is achieved, which improves teaching efficiency.

[0087] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0088] Figure 3The principle block diagram of the digital and intelligent five-dimensional talent training implementation device corresponding to the digital and intelligent five-dimensional talent training implementation method of the above embodiment is shown. Figure 3 As shown, the digital-intelligent five-dimensional talent training implementation device includes a content conversion module 31, a scene building module 32, a course generation module 33 and an intelligent teaching module 34. The detailed description of each functional module is as follows:

[0089] A content conversion module 31 is used to generate dynamic content based on a data model of a business scenario, and convert the dynamic content into teaching resources to form a teaching resource library;

[0090] The scenario building module 32 is used to obtain financial data and business data in real time through the four-stream fusion platform, integrate and fuse the financial data and business data, and build a visualization scenario;

[0091] The course generation module 33 is used to obtain student information and generate personalized courses based on the student information, the teaching resource library and the visualization scene;

[0092] The intelligent teaching module 34 is used for intelligent teaching management based on personalized courses.

[0093] Optionally, the scene building module 32 includes:

[0094] The data fusion unit is used to integrate business data and financial data on the same platform by means of ERP system integration to obtain business and financial integrated data;

[0095] The data analysis unit is used to use Hadoop big data technology to process and analyze the business and financial integration data in real time and obtain analysis results;

[0096] A trend prediction unit, used to perform trend prediction on the analysis results through a machine learning algorithm to obtain a trend prediction result;

[0097] The visualization unit is used to use visualization tools to visualize the business and financial integration data, analysis results and trend forecast results to generate visualization scenes.

[0098] Optionally, the intelligent teaching module 34 includes:

[0099] A dynamic adjustment unit is used to obtain the teacher's teaching plan, dynamically adjust the personalized course based on the teaching plan, and generate personalized teaching materials;

[0100] Teaching unit, used to teach using intelligent teaching equipment and virtual reality technology, and obtain classroom feedback from students;

[0101] The evaluation unit is used to evaluate the teaching quality based on students' classroom feedback and dynamically adjust personalized teaching materials according to the evaluation results.

[0102] For the specific definition of the digital and intelligent five-dimensional talent training implementation device, please refer to the definition of the digital and intelligent five-dimensional talent training implementation method above, which will not be repeated here. Each module in the above-mentioned digital and intelligent five-dimensional talent training implementation device can be implemented in whole or in part through software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0103] To solve the above technical problems, the present application also provides a computer device. Figure 4 , Figure 4 This is a basic structural block diagram of the computer device in this embodiment.

[0104] The computer device 4 includes a memory 41, a processor 42, and a network interface 43 that are interconnected through a system bus. It should be noted that the figure only shows a computer device 4 with components connected to the memory 41, the processor 42, and the network interface 43, but it should be understood that it is not required to implement all the components shown, and more or fewer components can be implemented instead. Among them, those skilled in the art can understand that the computer device here is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable gate arrays (Field-Programmable Gate Array, FPGA), digital processors (Digital Signal Processor, DSP), embedded devices, etc.

[0105] The computer device may be a desktop computer, a notebook, a PDA, a cloud server, etc. The computer device may interact with the user through a keyboard, a mouse, a remote controller, a touch pad, or a voice control device.

[0106] The memory 41 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or D interface display memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 41 can be an internal storage unit of the computer device 4, such as a hard disk or memory of the computer device 4. In other embodiments, the memory 41 can also be an external storage device of the computer device 4, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the computer device 4. Of course, the memory 41 can also include both the internal storage unit of the computer device 4 and its external storage device. In this embodiment, the memory 41 is generally used to store the operating system and various application software installed on the computer device 4, such as the program code of the implementation method of the five-dimensional talent training of digital intelligence, etc. In addition, the memory 41 can also be used to temporarily store various types of data that have been output or are to be output.

[0107] The processor 42 may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chip in some embodiments. The processor 42 is generally used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is used to run the program code stored in the memory 41 or process data, such as running the program code of the digital and intelligent five-dimensional talent training implementation method.

[0108] The network interface 43 may include a wireless network interface or a wired network interface. The network interface 43 is generally used to establish a communication connection between the computer device 4 and other electronic devices.

[0109] The present application also provides another implementation method, namely, providing a computer-readable storage medium, which stores an interface display program, and the interface display program can be executed by at least one processor to enable the at least one processor to perform the steps of the above-mentioned digital five-dimensional talent training implementation method.

[0110] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0111] Obviously, the embodiments described above are only some embodiments of the present application, rather than all embodiments. The preferred embodiments of the present application are given in the accompanying drawings, but they do not limit the patent scope of the present application. The present application can be implemented in many different forms. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present application more thorough and comprehensive. Although the present application is described in detail with reference to the aforementioned embodiments, for those skilled in the art, it is still possible to modify the technical solutions recorded in the aforementioned specific implementation methods, or to replace some of the technical features therein with equivalents. Any equivalent structure made using the contents of the specification and drawings of this application, directly or indirectly used in other related technical fields, is similarly within the scope of patent protection of this application.

Claims

1. A method for implementing the training of digital and intelligent five-dimensional talents, characterized in that: include: Generate dynamic content based on the data model of the business scenario, and convert the dynamic content into teaching resources to form a teaching resource library; Through the four-stream fusion platform, financial data and business data are obtained in real time, and the financial data and business data are integrated and fused to build a visualization scene; Acquire student information, and generate personalized courses based on the student information, the teaching resource library and the visualization scene; Intelligent teaching management is performed based on the personalized course.

2. The method for implementing the five-dimensional digital and intelligent talent training as claimed in claim 1, characterized in that: The converting the dynamic content into teaching resources to form a teaching resource library comprises: Natural language processing and AI synthesis technology are used to generate teaching resources based on dynamic content. The teaching resources include AI videos, graphic explanations, and case analyses.

3. The method for implementing the five-dimensional digital and intelligent talent training as claimed in claim 1, characterized in that: The integration and fusion of the financial data and the business data to build a visualization scene includes: By using ERP system integration, business data and financial data are integrated on the same platform to obtain business and financial integrated data; Use Hadoop big data technology to process and analyze the business and financial integration data in real time to obtain analysis results; Performing trend prediction on the analysis results by using a machine learning algorithm to obtain a trend prediction result; The business-finance integration data, the analysis results and the trend forecast results are visualized using visualization tools to generate the visualization scene.

4. The method for implementing the five-dimensional digital and intelligent talent training as claimed in claim 1, characterized in that: The intelligent teaching management based on the personalized course includes: Obtaining the teacher's teaching plan, dynamically adjusting the personalized course based on the teaching plan, and generating personalized teaching materials; Use intelligent teaching equipment and virtual reality technology to teach and obtain classroom feedback from students; Based on the students' classroom feedback, a teaching quality evaluation is conducted, and the personalized teaching materials are dynamically adjusted according to the evaluation results.

5. The method for implementing the five-dimensional digital and intelligent talent training as claimed in claim 4 is characterized in that: The teaching quality evaluation based on the student classroom feedback content and the dynamic adjustment of the personalized teaching materials according to the evaluation results include: Use natural language processing technology to automatically evaluate students' classroom feedback content.

6. A digital and intelligent five-dimensional talent training implementation device, characterized in that: include: A content conversion module is used to generate dynamic content based on a data model of a business scenario, and convert the dynamic content into teaching resources to form a teaching resource library; A scenario building module is used to obtain financial data and business data in real time through the four-stream fusion platform, integrate and fuse the financial data and the business data, and build a visualization scenario; A course generation module, used to obtain student information and generate personalized courses based on the student information, the teaching resource library and the visualization scene; The intelligent teaching module is used to perform intelligent teaching management based on the personalized course.

7. The digital-intelligent five-dimensional talent training implementation device according to claim 6, characterized in that: The scene building module includes: The data fusion unit is used to integrate business data and financial data on the same platform by means of ERP system integration to obtain business and financial integrated data; A data analysis unit, used to use Hadoop big data technology to process and analyze the business-finance integration data in real time to obtain analysis results; A trend prediction unit, used to perform trend prediction on the analysis result through a machine learning algorithm to obtain a trend prediction result; The visualization unit is used to use visualization tools to visualize the business-finance integration data, the analysis results and the trend prediction results to generate the visualization scene.

8. The digital-intelligent five-dimensional talent training implementation device according to claim 6, characterized in that: The intelligent teaching module includes: A dynamic adjustment unit, used to obtain the teacher's teaching plan, dynamically adjust the personalized course based on the teaching plan, and generate personalized teaching materials; Teaching unit, used to teach using intelligent teaching equipment and virtual reality technology, and obtain classroom feedback from students; The evaluation unit is used to evaluate the teaching quality based on the students' classroom feedback content, and dynamically adjust the personalized teaching materials according to the evaluation results.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, it implements the digital and intelligent five-dimensional talent training implementation method as described in any one of claims 1 to 5.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, it implements the digital and intelligent five-dimensional talent training implementation method as described in any one of claims 1 to 5.

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