Intelligent training method and device and electronic equipment
Through intelligent training methods, according to the learning methods and course content display, the training personnel's questions were answered and actual business scenarios were simulated, and the problem of lack of problem-solving and practical operations in online training was solved, improving the transformation of learning and training effects.
Patent Information
- Application Number
- CN202411431021.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-14
- Publication Date
- 2025-02-07
AI Technical Summary
The existing online training platform only provides recorded courses, which makes it difficult for students to answer questions in a timely manner when learning. The recorded courses focus on the imparting of theoretical knowledge and lack practical operation links, which affects the transformation of training results.
Provide an intelligent training method, including displaying the learning methods and course content selected by the personnel to be trained, receiving and answering course questions of the personnel, simulating actual business scenarios and multi-dimensional business scoring of the personnel's business answers.
By promptly answering the questions of trainees and simulating actual business scenarios, the transformation of learning and training results is improved, ensuring that students can apply the knowledge they have learned to actual work.
Smart Images
Figure CN119400017A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of AI intelligent technology, and in particular to an intelligent training method, device and electronic equipment. Background Art
[0002] In the current training field, the training methods for trainees are mainly limited to the traditional offline centralized teaching mode and the emerging online training. Taking online training as an example, although this method breaks through geographical restrictions, most online training platforms only provide recorded courses, making it difficult for trainees to get timely answers to questions they encounter during the learning process. In addition, recorded courses often focus on the teaching of theoretical knowledge and lack practical operation links, making it difficult for trainees to apply what they have learned to actual work, affecting the conversion of training effects. Summary of the invention
[0003] In view of this, the present disclosure provides an intelligent training method, device and electronic equipment, the main purpose of which is to solve the technical problem that the current online training platform only provides recorded courses, making it difficult for students to get timely answers to problems encountered in the learning process, and recorded courses often focus on the imparting of theoretical knowledge and lack practical operation links, making it difficult for students to apply what they have learned to actual work, affecting the conversion of training effects.
[0004] According to a first aspect of the present disclosure, there is provided an intelligent training method, the method comprising:
[0005] Present corresponding course content according to the learning method and course selected by the trainees, where the learning methods include text learning, voice learning and video learning;
[0006] receiving a first course question from the training staff regarding the course content, and answering the first course question;
[0007] Actual business problems are simulated according to actual business scenarios, and multi-dimensional business scoring is performed on the trainees' business answers to the actual business problems.
[0008] According to a second aspect of the present disclosure, there is provided an intelligent training device, the device comprising:
[0009] A display module is used to display the corresponding course content according to the learning method and learning course selected by the trainee, wherein the learning method includes text learning, voice learning and video learning;
[0010] An answering module, used for receiving a first course question from a trainer regarding the course content, and answering the first course question;
[0011] The first scoring module is used to simulate actual business problems according to actual business scenarios, and to perform multi-dimensional business scoring on the business answers of the trainees to the actual business problems.
[0012] According to a third aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable a computer to execute the method of the aforementioned first aspect.
[0013] According to a fourth aspect of the present disclosure, an electronic device is provided, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method of the aforementioned first aspect.
[0014] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising: a computer program, wherein the computer program executes the method of the first aspect when a processor executes the computer program.
[0015] Compared with the prior art, the intelligent training method, device and electronic device provided by the present disclosure can first display the corresponding course content according to the learning method and learning course selected by the trainee, wherein the learning method includes text learning, voice learning and video learning; receive the first course question of the trainee regarding the course content, and answer the first course question; simulate the actual business problem according to the actual business scenario, and give multi-dimensional business scoring to the business answer of the trainee to the actual business problem. For the scheme of the present disclosure, by receiving the first course question of the trainee regarding the course content, and answering the first course question, the problems encountered by the trainee in the learning process can be answered in time, thereby improving the learning effect; by simulating the actual business scenario and simulating the actual business problem, the trainee can use the knowledge learned to answer in the simulated practice, thereby improving the conversion of the training effect.
[0016] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present disclosure, nor is it intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.
[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.
[0019] Figure 1 A flowchart of an intelligent training method provided by an embodiment of the present disclosure;
[0020] Figure 2 A system flow chart of intelligent training provided by an embodiment of the present disclosure;
[0021] Figure 3 A flowchart of another intelligent training method provided by another embodiment of the present disclosure;
[0022] Figure 4 A schematic diagram of a learning plan provided by an embodiment of the present disclosure;
[0023] Figure 5 A schematic diagram of the structure of an intelligent training device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION
[0024] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description. It should be noted that, in the absence of conflict, the embodiments of the present disclosure and the features in the embodiments may be combined with each other.
[0025] The following describes the intelligent training method, device and electronic device according to the embodiments of the present disclosure with reference to the accompanying drawings.
[0026] The present invention provides an intelligent training method, device and electronic equipment, the main purpose of which is to solve the technical problem that the current online training platform only provides recorded courses, making it difficult for students to get timely answers to problems encountered in the learning process, and the recorded courses often focus on the imparting of theoretical knowledge and lack practical operation links, making it difficult for students to apply what they have learned to actual work, affecting the conversion of training effects.
[0027] like Figure 1 As shown, an embodiment of the present disclosure provides an intelligent training method, comprising:
[0028] Step 101: Display corresponding course content according to the learning method and course selected by the trainee.
[0029] Among them, learning methods may include text learning, voice learning and video learning. Text learning can be the presentation of course content through text materials (such as articles, online course documents, etc.), voice learning can be the presentation of course content through voice explanations, recordings or podcasts, etc.; video learning can be the presentation of course content through visual media.
[0030] Learning courses can be courses used to improve the professional capabilities and business levels of trainees. Learning courses can be preset by administrators based on business needs and management strategies, and configured and managed on the management side; learning courses may include but are not limited to basic insurance knowledge courses, company insurance terms courses, actual customer contact scenario courses, professional skills improvement courses, soft skills training courses, industry trends and cutting-edge courses, etc., to meet the learning needs of different trainees.
[0031] The personnel to be trained may be salesmen who are to receive business training to improve their abilities, knowledge or skills.
[0032] For the embodiments of the present disclosure, Figure 2 As shown, trainees can access the learning center through apps, WeChat mini-programs, PC web pages, etc. to complete daily training tasks and assessment processes. The corresponding course content can be displayed according to the learning method (such as text learning, voice learning or video learning) selected by the trainees and the learning courses selected by the trainees, so that the trainees can complete the course preview of the corresponding learning courses.
[0033] For example, if the trainee chooses text learning as the learning method and the selected course is a basic insurance knowledge course, the basic insurance knowledge can be presented through text teaching materials, documents and other materials (such as course outlines, chapter overviews, detailed knowledge point analysis, case analysis, exercises and answers, etc.) for the trainee to read and study.
[0034] If the trainee chooses voice learning as the learning method and the selected learning course is the company's insurance terms course, the detailed contents of the insurance terms can be displayed through voice playback (such as course lecture recordings, key terms reading, voice explanations of related concepts, etc.), so that the trainee can receive and understand the detailed contents of the insurance terms through hearing when it is inconvenient to read or needs to handle other tasks at the same time.
[0035] If the trainee chooses video learning as the learning method and the selected learning course is an actual customer contact scenario course, video materials related to the course (such as simulated customer contact scenario demonstrations, real sales or service case analysis, role-playing exercises, etc.) can be played, so that the trainee can intuitively observe and learn how to apply insurance knowledge, communication skills and sales strategies in actual customer contact scenarios through video learning, so as to improve his or her practical ability.
[0036] Step 102: Receive a first course question from the trainer regarding the course content, and answer the first course question.
[0037] For the disclosed embodiment, during the training process, if the system receives a first course question (such as unclear understanding of knowledge points, confusion in practical application, or some unclear points in the course materials, etc.) raised by the trainee through the course content learned through text, voice or video, as a possible implementation method, the first course question of the trainee can be matched in the question library through the built-in search function, and the corresponding answer or suggestion of the first course question can be given through the corresponding answer library of the question library. If the system cannot directly give an answer, the trainee can be guided to view relevant course materials, case analysis or reference materials, etc.
[0038] In addition to automatic answers from the system, as another possible implementation method, the system can also support inviting supervisors or mentors to view the trainees' first course questions through the system platform, and provide answers and guidance for the trainees' first course questions to ensure that the trainees can thoroughly understand the course content and solve the problems encountered in actual learning.
[0039] Step 103: simulate actual business problems according to actual business scenarios, and perform multi-dimensional business scoring on the business answers of the trainees to the actual business problems.
[0040] For the disclosed embodiments, the system can use robot technology to simulate real user roles and conduct human-computer interaction with trainers to simulate various scenarios that salesmen may encounter in actual work. Through human-computer interaction, based on the support of advanced technologies such as natural language processing (NLP) and multimodality, the robot can understand and generate natural language, and process information in multiple modes such as images and sounds, so as to simulate real user roles more realistically, so that the system can completely reproduce the dialogues that occur in real scenarios, so that trainers can learn and practice the ability to deal with actual business problems in a simulated environment.
[0041] During the simulated interaction process, trainers can give business answers based on the simulated actual business scenarios and actual business problems in the simulated actual business scenarios. The system can record the conversation recordings, text and other information throughout the process, and conduct a detailed analysis of these business answers. According to preset scoring criteria, the system uses cutting-edge AI technologies such as speech recognition, speech synthesis, semantic understanding, natural language processing, etc. to score the trainers' business answers from multiple dimensions such as content, logic, speaking speed, and emotion, so as to comprehensively evaluate the trainers' business capabilities and ability to deal with practical problems.
[0042] In summary, according to the intelligent training method provided by the present disclosure, compared with the prior art, the present disclosure can first display the corresponding course content according to the learning method and learning course selected by the trainee, wherein the learning method includes text learning, voice learning and video learning; receive the first course question from the trainee regarding the course content, and answer the first course question; simulate the actual business problem according to the actual business scenario, and give multi-dimensional business scoring to the business answer of the trainee to the actual business problem. For the scheme of the present disclosure, by receiving the first course question from the trainee regarding the course content, and answering the first course question, the problems encountered by the trainee in the learning process can be answered in time, thereby improving the learning effect; by simulating the actual business scenario and simulating the actual business problem, the trainee can use the knowledge learned to answer in the simulated practice, thereby improving the conversion of the training effect.
[0043] Further, as a refinement and extension of the above embodiment, in order to fully illustrate the specific implementation process of the method of this embodiment, this embodiment provides the following Figure 3 The specific method shown includes:
[0044] Step 201: determine the second course question in the course content; receive the trainer's response to the second course question, and perform multi-dimensional response scoring on the response.
[0045] For the disclosed embodiment, as a possible implementation method, the system may conduct a comprehensive analysis of the course content to determine the core content of the course content (such as core knowledge points, core skill points, core difficulties and core key points, etc.), and determine the second course questions in the course content based on the core content, wherein the second course questions may be questions that can cover the core content and challenge the students' understanding and application capabilities. The second course questions may be in the form of multiple-choice questions, fill-in-the-blank questions, short-answer questions or essay questions, so as to guide students to think deeply and test their learning effects.
[0046] After designing the second course questions, experts in related fields or experienced teachers can be invited to review them to ensure the scientificity, rationality and effectiveness of the questions. After making necessary adjustments and optimizations based on the review feedback, the course questions in the course content can be finally determined.
[0047] For the disclosed embodiment, as another possible implementation method, the system may also provide question templates and prompts, so that the administrator can perform multiple rounds of presets for course content and course questions based on the question templates and prompts, and generate and publish courses based on the settings. The question templates and prompts may include the format, structure, language style, etc. of the questions to ensure the consistency and standardization of the questions and avoid missing important content.
[0048] The course can adopt a human-computer interaction method. In the actual conversation with the robot, the trainer can answer the questions in the second course. The system can record the recording, text and other information of the conversation throughout the process, and conduct a detailed analysis of these questions and answers. According to the preset scoring criteria, the system uses cutting-edge AI technologies such as speech recognition, speech synthesis, semantic understanding, and natural language processing to score the trainer's answers from multiple dimensions such as content, logic, speech speed, and emotion, so as to accurately evaluate the learning progress and results of the trainees.
[0049] Step 202: Generate a performance radar chart based on the trainer's business answers and / or question responses; generate corresponding score dimension descriptions and training suggestions based on the trainer's business score results and / or response score results.
[0050] For the embodiments of the present disclosure, during the assessment process, the system can generate quality inspection results based on the recorded conversation recordings, text and other information (such as the business answers and / or question responses of the trainees) during the entire process. The quality inspection results can be used to reflect the overall learning outcomes of the trainees during the training process. The quality inspection results may include the total course score, performance radar chart, multi-dimensional scoring quality inspection results, scoring dimension descriptions and training suggestions.
[0051] Among them, the multi-dimensional scoring quality inspection results may include the trainers' business scoring results and / or response scoring results; the total course score may be the sum of the business scoring results and / or response scoring results; the performance radar chart can be used to display the trainers' performance in different dimensions, such as content comprehension, logical thinking, speech speed control, emotional expression, etc.; the scoring dimension description can be used to introduce the specific situation of each scoring dimension in detail, including but not limited to the scoring criteria for each question, the actual score of the trainers, the display of standard answers, etc.; training suggestions may include training opinions and / or scoring opinions, etc.
[0052] For the embodiments of the present disclosure, a performance radar chart may be generated based on the trainer's business answers and / or question responses; and corresponding score dimension descriptions and training suggestions may be generated based on the trainer's business score results and / or response score results.
[0053] Step 203: Obtain the historical learning records and historical assessment records of the trainee; input the historical learning records and historical assessment records into the course recommendation model to obtain the course learning path of the trainee; and instruct the trainee to perform training based on the course learning path.
[0054] For the embodiments of the present disclosure, as a possible implementation method, a learning plan (i.e., a course learning path) for the trainees can be formulated and adjusted based on various factors (such as the historical learning records, historical assessment results, and specific positions of the trainees), and the course learning can be conducted according to the recommended training courses and the learning sequence of the recommended training courses in the learning plan, wherein the learning sequence may include ordered learning and disordered learning; ordered learning may be for the trainees to study according to a preset course sequence, and disordered learning may be for the trainees to study according to a random course sequence.
[0055] Specifically, the historical learning records and historical assessment records of the trainees can be obtained, among which the historical learning records may include the length of history learning, the learning status of the main history courses, etc., and the historical assessment status may include whether the history compulsory course assessment has been passed, the classification of history courses that have not been passed, etc.
[0056] Historical learning records and historical assessment records can be input into the course recommendation model to obtain the course learning path of the trainees. The course learning path may include recommended training courses and the learning order of recommended training courses to meet the personalized course needs of the trainees. The course learning path can be combined with the corresponding training scenarios to ensure that the learning content is closely related to the actual work scenarios, thereby improving the practicality and effectiveness of learning.
[0057] Among them, the course recommendation model can be obtained by training a large model based on the sample historical learning records and sample historical assessment records of the trainees.
[0058] The system can set up a progressive mechanism for learning content. If the previous learning content is not completed, the subsequent content will not be able to start, to ensure the continuity and systematic nature of learning. Every time you log in to the system, you can update the course learning path according to the latest learning situation and needs to keep the course learning path timely and targeted.
[0059] Each course can be divided into ordered learning and unordered learning, such as Figure 4For courses with relevant requirements, the learning sequence can be set to an orderly learning mode, that is, the trainees need to follow the course sequence specified in the course, and conduct standardized learning step by step, and cannot skip courses.
[0060] In other courses, trainees can choose the disorderly learning mode, that is, they can choose the courses they are interested in to study without following the prescribed order.
[0061] After the training is completed, you can click "Training History" or "Through History" to query the score details of the trained scenes.
[0062] In summary, according to the intelligent training method provided by the present disclosure, compared with the prior art, the present disclosure can first display the corresponding course content according to the learning method and learning course selected by the trainee, wherein the learning method includes text learning, voice learning and video learning; receive the first course question from the trainee regarding the course content, and answer the first course question; simulate the actual business problem according to the actual business scenario, and give multi-dimensional business scoring to the business answer of the trainee to the actual business problem. For the scheme of the present disclosure, by receiving the first course question from the trainee regarding the course content, and answering the first course question, the problems encountered by the trainee in the learning process can be answered in time, thereby improving the learning effect; by simulating the actual business scenario and simulating the actual business problem, the trainee can use the knowledge learned to answer in the simulated practice, thereby improving the conversion of the training effect.
[0063] Based on the above Figure 1 , Figure 3 The specific implementation of the method shown in this embodiment provides an intelligent training device, such as Figure 5 As shown, the device includes: a display module 31, an answer module 32, and a first scoring module 33;
[0064] A display module 31 is used to display the corresponding course content according to the learning method and learning course selected by the trainee, wherein the learning method includes text learning, voice learning and video learning;
[0065] The answering module 32 is used to receive a first course question from the training staff regarding the course content and answer the first course question;
[0066] The first scoring module 33 is used to simulate actual business problems according to actual business scenarios, and to perform multi-dimensional business scoring on the business answers of the trainees to the actual business problems.
[0067] In specific application scenarios, such as Figure 5 As shown, the device further includes: a determination module 34, a second scoring module 35;
[0068] A determination module 34, for determining a second course question in the course content;
[0069] The second scoring module 35 is used to receive the trainer's responses to the second course questions and to perform multi-dimensional response scoring on the responses.
[0070] In a specific application scenario, the determination module 34 can be used to determine the core content in the course content; and determine the second course question in the course content according to the core content.
[0071] In specific application scenarios, such as Figure 5 As shown, the device further includes: a first generating module 36 and a second generating module 37;
[0072] A first generating module 36, for generating a performance radar chart according to the business answers and / or question responses of the trainer;
[0073] The second generating module 37 is used to generate corresponding score dimension descriptions and training suggestions according to the business score results and / or response score results of the trainer.
[0074] In specific application scenarios, such as Figure 5 As shown, the device further includes: an acquisition module 38, an input module 39, and an indication module 40;
[0075] An acquisition module 38 is used to acquire the historical learning records and historical assessment records of the person to be trained;
[0076] An input module 39 is used to input the historical learning records and the historical assessment records into a course recommendation model to obtain a course learning path for the trainee, wherein the course learning path includes recommended training courses and a learning sequence of the recommended training courses. The course recommendation model is obtained by training a large model based on sample historical learning records and sample historical assessment records of the trainee, wherein the learning sequence includes ordered learning and disordered learning.
[0077] The instruction module 40 is used to instruct the trainee to perform training based on the course learning path.
[0078] It should be noted that for other corresponding descriptions of the functional units involved in the intelligent training device provided in this embodiment, please refer to Figure 1 and Figure 3 The corresponding description in will not be repeated here.
[0079] Based on the above Figure 1 and Figure 3The method shown in the embodiment also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned Figure 1 and Figure 3 The method shown.
[0080] Based on this understanding, the technical solution of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of various implementation scenarios of the present disclosure.
[0081] Based on the above Figure 1 and Figure 3 The method shown, and Figure 5 In order to achieve the above-mentioned purpose, the embodiment of the present disclosure also provides an electronic device, which includes a storage medium and a processor; the storage medium is used to store a computer program; the processor is used to execute the computer program to achieve the above-mentioned Figure 1 and Figure 3 The method shown.
[0082] Optionally, the above-mentioned physical device may also include a user interface, a network interface, a camera, a radio frequency (RF) circuit, a sensor, an audio circuit, a WI-FI module, etc. The user interface may include a display, an input unit such as a keyboard, etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (such as a WI-FI interface), etc.
[0083] Those skilled in the art will appreciate that the above-mentioned physical device structure provided in this embodiment does not constitute a limitation on the physical device, and may include more or fewer components, or a combination of certain components, or different arrangements of components.
[0084] The storage medium may also include an operating system and a network communication module. The operating system is a program that manages the hardware and software resources of the above-mentioned physical device, and supports the operation of the information processing program and other software and / or programs. The network communication module is used to realize the communication between the components inside the storage medium, and the communication with other hardware and software in the information processing physical device.
[0085] Through the description of the above implementation methods, the technical personnel in this field can clearly understand that the present disclosure can be implemented by means of software plus the necessary general hardware platform, or by hardware. The present disclosure can first display the corresponding course content according to the learning method and learning course selected by the trainee, wherein the learning method includes text learning, voice learning and video learning; receive the first course question of the trainee regarding the course content, and answer the first course question; simulate the actual business problem according to the actual business scenario, and give multi-dimensional business scoring to the business answer of the trainee to the actual business problem. For the scheme of the present disclosure, by receiving the first course question of the trainee regarding the course content, and answering the first course question, the problems encountered by the trainee in the learning process can be answered in time, thereby improving the learning effect; by simulating the actual business scenario and simulating the actual business problem, the trainee can use the knowledge learned to answer in the simulated practice, thereby improving the conversion of the training effect.
[0086] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article 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, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprising a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.
[0087] The above are only specific embodiments of the present disclosure, so that those skilled in the art can understand or implement the present disclosure. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to these embodiments herein, but will conform to the widest scope consistent with the principles and novel features applied herein.
Claims
1. An intelligent training method, characterized in that: The method comprises: Present corresponding course content according to the learning method and course selected by the trainees, where the learning methods include text learning, voice learning and video learning; receiving a first course question from the training staff regarding the course content, and answering the first course question; Actual business problems are simulated according to actual business scenarios, and multi-dimensional business scoring is performed on the trainees' business answers to the actual business problems.
2. The method according to claim 1, characterized in that: The method further comprises: identifying a second course problem within said course content; Receive the trainer's responses to the second course questions, and score the responses in multiple dimensions.
3. The method according to claim 2, characterized in that The determining of the second course question in the course content includes: Identify the core content of the course content; The second course question in the course content is determined based on the core content.
4. The method according to claim 2, characterized in that: The method further comprises: Generate a performance radar chart based on the business answers and / or question responses of the trainees; Corresponding score dimension descriptions and training suggestions are generated based on the business score results and / or response score results of the trainer.
5. The method according to claim 1, characterized in that The method further comprises: Obtaining the historical learning records and historical assessment records of the person to be trained; Inputting the historical learning records and the historical assessment records into a course recommendation model to obtain a course learning path for the trainee, wherein the course learning path includes recommended training courses and a learning order for the recommended training courses, and the course recommendation model is obtained by training a large model based on sample historical learning records and sample historical assessment records of the trainee; Instruct the personnel to be trained to perform training based on the course learning path.
6. The method according to claim 5, characterized in that The learning sequence includes ordered learning and disordered learning.
7. An intelligent training device, characterized in that: include: A display module is used to display the corresponding course content according to the learning method and learning course selected by the trainee, wherein the learning method includes text learning, voice learning and video learning; An answering module, used for receiving a first course question from a trainer regarding the course content, and answering the first course question; The first scoring module is used to simulate actual business problems according to actual business scenarios, and to perform multi-dimensional business scoring on the business answers of the trainees to the actual business problems.
8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.
9. An electronic device comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.
10. A computer program product, characterized in that The invention comprises a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 6.