College student occupational simulation training method and system
By introducing dynamic training strategy generation and objective evaluation mechanisms in the occupational simulation training system, the lack of coordinated and horizontal training, fixed training strategies and unobjective evaluation in the existing technology is solved, and more diverse and personalized training effects and more accurate evaluation are achieved.
Patent Information
- Application Number
- CN202510661089.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-22
- Publication Date
- 2025-06-20
- Estimated Expiration
- 2045-05-22
AI Technical Summary
The existing occupational simulation training methods lack the diversity of collaborative training and horizontal training, and it is difficult to fully cultivate students' awareness of teamwork and competition. The training strategies are fixed and cannot be dynamically adjusted, and there is a lack of an objective and quantitative training effect evaluation mechanism.
Through the simulation training module, training strategy generation module and training data audit module, the training strategy is generated dynamically based on the training request data of the simulation client and the degree of intervention of the client, and the training strategy is evaluated in an objective and quantitative manner and the intervention effect of the client is managed.
It realizes dynamic adjustment of training strategies based on students' performance, improves the diversity and personalization of training effects, enhances the cultivation of teamwork and competitive awareness, and reduces the deviation of subjective judgment through objective assessment.
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Figure CN120181808A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the field of educational technology, and in particular to a method and system for career simulation training of college students. Background Art
[0002] Most of the existing career simulation training methods have the following problems: Most simulation training only provides a single career role simulation, lacks the diversity of collaborative training and horizontal training, and is difficult to fully cultivate students' teamwork and competitive awareness. Training strategies are often fixed and cannot be dynamically adjusted according to students' specific needs and performance, making it difficult to achieve personalized training. In existing simulation training, the intervention effect of the management client is not obvious, and it is impossible to effectively guide students to conduct targeted training. The evaluation of training effects mostly relies on subjective judgment, lacks an objective and quantitative audit mechanism, and is difficult to accurately evaluate the training effect and the intervention effect of the management client.
[0003] In recent years, with the rapid development of technologies such as artificial intelligence and big data, the field of vocational simulation training has also ushered in new development opportunities. Some advanced simulation training systems have begun to introduce intelligent algorithms to dynamically adjust training strategies based on students' performance and improve training effects. However, these systems still have shortcomings in collaborative training, horizontal training, personalized training, and audit mechanisms, and need further improvement and perfection. Summary of the invention
[0004] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a method for college students' career simulation training, comprising the following steps: Step 1: The simulation training module obtains the training mode and the training request data of the simulation training client according to the training request data sent by the simulation client module; Step 2: The training strategy generation module obtains the professional training data according to the training mode and the training request data of the simulation training client, and generates the training strategy according to the intervention degree of the management client and the obtained professional training data; Step three, based on the training strategy, obtain the training data of the corresponding simulation training client, obtain the occupation matching assessment feature data of the corresponding simulation training client according to the training data of the corresponding simulation training client and the occupation matching assessment feature, and obtain the matching data of the occupation matching assessment feature according to the occupation matching assessment feature data of the corresponding simulation training client; Step 4: The training data audit module audits the matching data of the obtained occupation matching assessment features and the degree of intervention of the management client to obtain the degree of influence of the degree of intervention of the management client on the occupation matching degree. If the audit is passed, step 5 is entered; if the audit is not passed, step 2 is returned according to the degree of intervention of the management client; Step 5: Obtain the career matching degree corresponding to the simulation training client and the career matching evaluation features of the non-matching ones.
[0005] Further, the simulation training module obtains the training mode and the training request data of the simulation training client according to the training request data sent by the simulation client module, including: The training mode includes collaborative training and horizontal training; the collaborative training is the training in which the careers of each simulation client are mutually collaborative and different; the horizontal training is that the careers of each simulation client are the same. The training request data of the simulation training client includes the requested simulation career and the simulation career event.
[0006] Further, the training strategy generation module obtains the career training data according to the training mode and the training request data of the simulation training client, and generates a training strategy according to the intervention degree of the management client and the obtained career training data, including: If it is collaborative training, obtain the career training data of each career according to the simulation career event, and modify the career training data of the corresponding career according to the intervention degree of the management client to obtain the career training data of the corresponding simulation client; the career training data of each corresponding simulation client and the collaborative relationship constitute the training strategy. If it is horizontal training, obtain the corresponding career training data according to the simulation career event, and modify the career training data of the corresponding career according to the intervention degree of the management client to obtain the simulation career training data, and the simulation career training data is the training strategy.
[0007] Further, obtaining the matching data of the career matching evaluation features according to the career matching evaluation feature data of the corresponding simulation training client includes: According to the training strategy, the simulation client collects training data, and obtains the feature data of the career matching evaluation features according to the career matching evaluation features. If the feature data of the career matching evaluation features is greater than the matching data of the career matching evaluation features, then the career matching evaluation features match; all the matching career matching evaluation features constitute the matching data of the career matching evaluation features.
[0008] Further, the training data audit module audits the matching data of the obtained career matching evaluation features and the intervention degree of the management client to obtain the influence degree of the intervention degree of the management client on the career matching degree, including: Based on the ratio of the matching occupational matching evaluation features to the occupational matching evaluation features, the degree of intervention in occupational matching is obtained; according to the degree of intervention of the management client, the non-intervened matching occupational matching evaluation features are obtained, and the ratio of the non-intervened matching occupational matching evaluation features to the occupational matching evaluation features is used to obtain the degree of non-intervened occupational matching; the difference between the degree of intervention in occupational matching and the degree of non-intervened occupational matching is the degree of influence of the intervention degree of the management client on the degree of occupational matching. If the degree of influence is less than the influence threshold, the audit passes; otherwise, the audit fails.
[0009] Furthermore, if the audit fails, the intervention degree of the management client is adjusted according to the degree of influence, including: adjusting the intervention degree of the management client so that the degree of influence is less than the influence threshold.
[0010] A college student career simulation training system that applies the described college student career simulation training method, including a career training database, a data transmission module, a simulation data processing module, a simulation training module, and a simulation client module; The data transmission module and the simulation training module are respectively connected to the simulation data processing module; the career training database and the simulation client module are respectively connected to the data transmission module; Among them, the career training database is used to store career training data and occupational matching evaluation features of different occupations; The simulation training module is used to generate a training strategy and obtain training data according to the training request data of the simulation client module; The simulation client module includes a simulation training client and a management client; the simulation training client is used to submit training request data; the management client is used to manage the training mode; The simulation data processing module includes a training data evaluation module and a training data audit module; the training data evaluation module is used to obtain the occupational matching degree according to the training data; the training data audit module is used to audit the training strategy and training data according to the training mode to obtain an audit result.
[0011] Preferably, the simulation training module includes a simulation training management module and a training strategy generation module; Among them, the simulation training management module is used to receive the training request data sent by the client module and extract the training mode and the training request data of the simulation training client; The training strategy generation module is used to obtain the corresponding career training data in the career training database according to the training mode and the training request data of the simulation training client and generate a training strategy.
[0012] The beneficial effects of the present invention are as follows: The present invention introduces a training data auditing mechanism, which evaluates the training effect and the intervention effect of the management client in an objective and quantitative manner, avoids the deviation of subjective judgment, and improves the objectivity of the training effect evaluation. Brief Description of the Drawings
[0013] Figure 1 It is a schematic flowchart of a college student career simulation training method. Specific Embodiments
[0014] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings, but the protection scope of the present invention is not limited to the following description.
[0015] The features and performance of the present invention will be further described in detail below in conjunction with the embodiments.
[0016] As Figure 1 shown, a college student career simulation training method includes the following steps: Step 1, the simulation training module obtains the training mode and the training request data of the simulation training client according to the training request data sent by the simulation client module; Step 2, the training strategy generation module obtains the vocational training data according to the training mode and the training request data of the simulation training client, and generates a training strategy according to the intervention degree of the management client and the obtained vocational training data; Step 3, based on the training strategy, obtain the training data corresponding to the simulation training client, obtain the vocational matching evaluation feature data corresponding to the simulation training client according to the training data corresponding to the simulation training client and the vocational matching evaluation features, and obtain the matching data of the vocational matching evaluation features according to the vocational matching evaluation feature data corresponding to the simulation training client; Step 4, the training data auditing module audits the matching data of the obtained vocational matching evaluation features and the intervention degree of the management client to obtain the influence degree of the intervention degree of the management client on the vocational matching degree. If the audit passes, go to Step 5; if the audit fails, return to Step 2 according to adjusting the intervention degree of the management client; Step 5, obtain the vocational matching degree corresponding to the simulation training client and the vocational matching evaluation features that do not match.
[0017] The simulation training module obtains the training mode and the training request data of the simulation training client according to the training request data sent by the simulation client module, including: The training mode includes collaborative training and horizontal training; the collaborative training is the training in which the occupations of each simulation client are mutually collaborative and all different; the horizontal training is that the occupations of each simulation client are the same; The training request data of the simulation training client includes the requested simulation occupation and simulation occupation events.
[0018] The training strategy generation module obtains occupation training data according to the training mode and the training request data of the simulation training client, and generates a training strategy according to the intervention degree of the management client and the obtained occupation training data, including: If it is collaborative training, obtain the occupation training data of each occupation according to the simulation occupation event, and modify the occupation training data of the corresponding occupation according to the intervention degree of the management client to obtain the occupation training data of the corresponding simulation client; the occupation training data of each corresponding simulation client and the collaboration relationship constitute the training strategy; If it is horizontal training, obtain the corresponding occupation training data according to the simulation occupation event, modify the occupation training data of the corresponding occupation according to the intervention degree of the management client to obtain the simulation occupation training data, and the simulation occupation training data is the training strategy.
[0019] Obtaining the matching data of the occupation matching evaluation features according to the occupation matching evaluation feature data of the corresponding simulation training client includes: According to the training strategy, the simulation client collects training data and obtains the feature data of the occupation matching evaluation features according to the occupation matching evaluation features; If the feature data of the occupation matching evaluation features is greater than the matching data of the occupation matching evaluation features, the occupation matching evaluation features match; all the matching occupation matching evaluation features constitute the matching data of the occupation matching evaluation features.
[0020] The training data auditing module audits the matching data of the obtained occupation matching evaluation features and the intervention degree of the management client to obtain the influence degree of the intervention degree of the management client on the occupation matching degree, including: According to the ratio of each matching occupation matching evaluation feature to the occupation matching evaluation feature, obtain the intervention occupation matching degree; according to the intervention degree of the management client, obtain the non-intervened matching occupation matching evaluation features, and the ratio of the non-intervened matching occupation matching evaluation features to the occupation matching evaluation feature, obtain the non-intervened occupation matching degree; the difference between the intervention occupation matching degree and the non-intervened occupation matching degree is the influence degree of the intervention degree of the management client on the occupation matching degree; If the influence degree is less than the influence threshold, the audit passes, otherwise, the audit fails.
[0021] If the audit fails, adjust the intervention degree of the management client according to the influence degree, including: adjusting the intervention degree of the management client so that the influence degree is less than the influence threshold.
[0022] A college student career simulation training system, which applies the described college student career simulation training method, includes a career training database, a data transmission module, a simulation data processing module, a simulation training module, and a simulation client module; The data transmission module and the simulation training module are respectively connected to the simulation data processing module; the career training database and the simulation client module are respectively connected to the data transmission module; Among them, the career training database is used to store career training data and career matching evaluation features of different careers; The simulation training module is used to generate a training strategy and obtain training data according to the training request data of the simulation client module; The simulation client module includes a simulation training client and a management client; the simulation training client is used to submit training request data; the management client is used to manage the training mode; The simulation data processing module includes a training data evaluation module and a training data auditing module; the training data evaluation module is used to obtain the career matching degree according to the training data; the training data auditing module is used to audit the training strategy and training data according to the training mode to obtain an audit result.
[0023] The simulation training module includes a simulation training management module and a training strategy generation module; Among them, the simulation training management module is used to receive the training request data sent by the client module, and extract the training mode and the training request data of the simulation training client; The training strategy generation module is used to obtain the corresponding career training data in the career training database according to the training mode and the training request data of the simulation training client, and generate a training strategy.
[0024] Specifically, the college student career simulation training method includes the following steps: Step 1: The simulation training module receives the training request data sent by the simulation client module, and parses to obtain the training mode and the training request data of the simulation training client. The training mode includes collaborative training and horizontal training: Collaborative training: The careers of each simulation client are for collaborative training with different careers. For example, simulating the operation of an enterprise, including multiple departments such as marketing, financial management, and human resources, and each department is responsible for by a different simulation client.
[0025] Horizontal training: The careers of each simulation client are the same. For example, simulating multiple salespersons competing for a single customer, and each salesperson is played by a different simulation client.
[0026] The training request data of the simulation training client includes the requested simulation occupation and simulation occupation events. For example, the requested simulation occupation is that of a marketing manager, and the simulation occupation event is the planning of a new product launch event.
[0027] Step 2: The training strategy generation module obtains the corresponding occupation training data from the occupation training database according to the training mode and the training request data of the simulation training client. Based on the intervention degree of the management client and the obtained occupation training data, a training strategy is generated: Collaborative training: Obtain the occupation training data of each occupation according to the simulation occupation event, and modify the occupation training data of the corresponding occupation according to the intervention degree of the management client to obtain the occupation training data of the corresponding simulation client. The occupation training data of each corresponding simulation client and the collaborative relationship constitute the training strategy. For example, in the simulation of enterprise operation, according to the intervention of the management client, adjust the budget allocation of the marketing department to affect its performance in the planning of a new product launch event.
[0028] Horizontal training: Obtain the corresponding occupation training data according to the simulation occupation event, modify the occupation training data of the corresponding occupation according to the intervention degree of the management client to obtain the simulation occupation training data, and this simulation occupation training data is the training strategy. For example, in the simulation of salespersons competing for customers, according to the intervention of the management client, adjust the demand preferences of customers to affect the sales strategies of salespersons.
[0029] Step 3: Based on the training strategy, the simulation training client conducts training and collects training data. According to the occupation matching evaluation features, obtain the occupation matching evaluation feature data of the corresponding simulation training client. According to the occupation matching evaluation feature data of the corresponding simulation training client, obtain the matching data of the occupation matching evaluation features: According to the training strategy, the simulation client collects training data, such as data on budget allocation, publicity strategies, etc. of a marketing manager in the planning of a new product launch event.
[0030] According to the occupation matching evaluation features, such as communication ability, teamwork ability, innovation ability, etc., obtain the feature data of the occupation matching evaluation features.
[0031] If the feature data of the occupation matching evaluation features is greater than the matching data of the occupation matching evaluation features (the preset threshold), then this occupation matching evaluation feature is matched. All the matched occupation matching evaluation features constitute the matching data of the occupation matching evaluation features.
[0032] Step 4: The training data audit module audits the matching degree of the obtained occupation matching evaluation features and the intervention degree of the management client to obtain the influence degree of the intervention degree of the management client on the occupation matching degree: According to the ratio of the matching vocational matching evaluation features to the vocational matching evaluation features, the degree of intervention in vocational matching is obtained. For example, in the simulation of enterprise operation, if the communication ability, teamwork ability, and innovation ability of the marketing manager are all matched, the degree of intervention in vocational matching is 100%.
[0033] According to the degree of intervention of the management client (such as the adjustment range of budget allocation), the non-intervened matching vocational matching evaluation features are obtained, and the ratio of the non-intervened matching vocational matching evaluation features to the vocational matching evaluation features is used to obtain the degree of non-intervened vocational matching. For example, if the communication ability and teamwork ability of the marketing manager are matched, but the innovation ability is not matched when the budget allocation is not adjusted, the degree of non-intervened vocational matching is 66.7%.
[0034] The difference between the degree of intervention in vocational matching and the degree of non-intervened vocational matching is the degree of influence of the intervention degree of the management client on the degree of vocational matching. If the degree of influence is less than the influence threshold (such as 5%), the audit passes and proceeds to step five; otherwise, the audit fails, and the intervention degree of the management client is adjusted according to the degree of influence, and the process returns to step two.
[0035] Step five: After the audit passes, the degree of vocational matching and the non-matching vocational matching evaluation features of the corresponding simulation training client are obtained. For example, the degree of vocational matching of the marketing manager is 80%, and the non-matching vocational matching evaluation feature is innovation ability.
[0036] This college student vocational simulation training system applies the above-mentioned college student vocational simulation training method, including a vocational training database, a data transmission module, a simulation data processing module, a simulation training module, and a simulation client module: Vocational training database: Used to store vocational training data and vocational matching evaluation features of different occupations. For example, store the vocational training data of the marketing manager, including budget allocation, publicity strategies, etc., and vocational matching evaluation features, such as communication ability, teamwork ability, innovation ability, etc.
[0037] Data transmission module: Used to transmit data with the simulation client module, receive the training request data sent by the simulation client module, and transmit the training data and audit results to the simulation client module.
[0038] Simulation data processing module: Includes a training data evaluation module and a training data audit module. The training data evaluation module is used to obtain the vocational matching degree according to the training data; the training data audit module is used to audit the training strategy and training data according to the training mode to obtain the audit result.
[0039] Simulation training module: It includes a simulation training management module and a training strategy generation module. The simulation training management module is used to receive the training request data sent by the client module and extract the training mode and the training request data of the simulation training client; the training strategy generation module is used to obtain the corresponding vocational training data from the vocational training database according to the training mode and the training request data of the simulation training client, and generate a training strategy.
[0040] Simulation client module: It includes a simulation training client and a management client. The simulation training client is used to submit training request data and receive training data and audit results; the management client is used to manage the training mode and set the intervention degree of the management client.
[0041] Example 1: Collaborative training for simulating enterprise operation Suppose we want to simulate the operation of a medium-sized enterprise, involving three departments: marketing, financial management, and human resources, with each department being responsible for by a different simulation client.
[0042] The simulation training module receives the training request data sent by the simulation client module, parses out that the training mode is collaborative training, and that the three simulation training clients respectively request to simulate the occupations of marketing manager, financial manager, and human resources manager, and the simulated vocational events are respectively the planning of a new product launch conference, the preparation of the annual financial budget, and the formulation of an employee recruitment plan.
[0043] The training strategy generation module obtains the vocational training data of the marketing manager, financial manager, and human resources manager from the vocational training database.
[0044] The management client sets the intervention degree, such as requiring a 10% reduction in the budget of the marketing department, strict cost control in the financial department, and giving priority to recruiting talents with specific skills in the human resources department's recruitment plan.
[0045] Modify the vocational training data of the corresponding occupation according to the intervention degree, generate the vocational training data of each simulation client, and form a collaborative training strategy. For example, when the budget is reduced, the marketing manager needs to re-plan the various expense expenditures in the planning of the new product launch conference.
[0046] The simulation training client conducts training based on the training strategy and collects training data, such as the actual budget allocation and publicity channel selection data of the marketing manager in the planning of the new product launch conference.
[0047] According to the vocational matching evaluation characteristics (communication ability, teamwork ability, professional knowledge, etc.), obtain the vocational matching evaluation characteristic data of each simulation training client.
[0048] If the communication skills, teamwork skills, and professional knowledge data of the marketing manager are all greater than the preset threshold, then these characteristics match and constitute the matching data for the occupational matching assessment characteristics.
[0049] The training data auditing module calculates the degree of intervention in occupational matching. If the occupational matching assessment characteristics of the three departments all match, then the degree of intervention in occupational matching is 100%.
[0050] Calculate the degree of non-intervention in occupational matching. Assume that when the budget and recruitment requirements are not adjusted, the communication skills and teamwork skills of the marketing manager match, but the professional knowledge does not match. Then the degree of non-intervention in occupational matching is 66.7%.
[0051] Calculate the impact of the intervention degree of the management client on the degree of occupational matching. The difference is 33.3%, which is greater than the impact threshold of 5%, so the audit fails. Adjust the intervention degree of the management client according to the impact degree. For example, appropriately relax the budget limit of the marketing department and return to step two to regenerate the training strategy.
[0052] After the audit passes, obtain the degree of occupational matching of each simulation training client and the mismatched occupational matching assessment characteristics. For example, the degree of occupational matching of the marketing manager is 75%, and the mismatched characteristic is professional knowledge; the degree of occupational matching of the financial manager is 85%, and the mismatched characteristic is cost control ability; the degree of occupational matching of the human resources manager is 90%, and there are no mismatched characteristics.
[0053] Example 2: Horizontal training for simulated salespeople competing for customers Simulate multiple salespeople competing for an important customer at the same time, and each salesperson is played by a different simulation client.
[0054] Steps implementation The simulation training module receives the training request data sent by the simulation client module, parses out that the training mode is horizontal training, and that multiple simulation training clients all request the simulated salesperson occupation, and the simulated occupation event is competing for a specific customer.
[0055] The training strategy generation module obtains the occupational training data of the salesperson from the occupational training database. The management client sets the intervention degree, such as requiring the customer's demand preference to be more price-sensitive. Modify the occupational training data according to the intervention degree to obtain the simulated occupational training data as the training strategy. For example, the salesperson needs to adjust the sales strategy and quotation plan according to the customer's sensitivity to price.
[0056] The simulation training client conducts training based on the training strategy and collects training data, such as the quotation plans of each salesperson, customer communication records, and other data. According to the career matching evaluation characteristics (communication ability, sales skills, adaptability, etc.), the career matching evaluation characteristic data of each simulation training client is obtained. If the data of a salesperson's communication ability, sales skills, and adaptability are all greater than the preset threshold, these characteristics match and constitute the matching data of the career matching evaluation characteristics.
[0057] The training data audit module calculates the intervention career matching degree. For example, if more than half of the career matching evaluation characteristics of multiple salespersons match, the intervention career matching degree is the corresponding proportion. Calculate the non-intervention career matching degree. Assuming that when the customer demand preference is not adjusted, only a few salespersons can match the career matching evaluation characteristics, the non-intervention career matching degree is relatively low.
[0058] Calculate the influence degree of the intervention degree of the management client on the career matching degree. If the influence degree is less than the influence threshold of 5%, the audit passes. For example, the intervention career matching degree is 70%, the non-intervention career matching degree is 60%, and the influence degree is 10% (this is an example for illustration, and actually it passes if it is less than 5%), and the audit passes.
[0059] Result output After the audit passes, the career matching degree and the mismatched career matching evaluation characteristics of each simulation training client are obtained. For example, the career matching degree of salesperson A is 80%, and the mismatched characteristic is adaptability; the career matching degree of salesperson B is 75%, and the mismatched characteristic is sales skills; the career matching degree of salesperson C is 90%, and there are no mismatched characteristics.
Claims
1. A vocational simulation training method for college students, characterized in that, It includes the following steps: Step 1: The simulation training module obtains the training mode and the training request data of the simulated training client according to the training request data sent by the simulation client module; Step 2: The training strategy generation module obtains the vocational training data according to the training mode and the training request data of the simulated training client, and generates a training strategy according to the intervention degree of the management client and the obtained vocational training data; Step 3: Based on the training strategy, obtain the training data corresponding to the simulated training client, obtain the vocational matching evaluation feature data corresponding to the simulated training client according to the training data corresponding to the simulated training client and the vocational matching evaluation features, and obtain the matching data of the vocational matching evaluation features according to the vocational matching evaluation feature data corresponding to the simulated training client; Step 4: The training data audit module audits the matching data of the obtained vocational matching evaluation features and the intervention degree of the management client to obtain the influence degree of the intervention degree of the management client on the vocational matching degree. If the audit passes, proceed to Step 5; if the audit fails, return to Step 2 according to adjusting the intervention degree of the management client; Step 5: Obtain the vocational matching degree corresponding to the simulated training client and the vocational matching evaluation features that do not match.
2. The vocational simulation training method for college students according to claim 1, characterized in that, The simulation training module obtains the training mode and the training request data of the simulated training client according to the training request data sent by the simulation client module, including: The training mode includes collaborative training and horizontal training; the collaborative training is the training in which the occupations of each simulated client are mutually collaborative and all different; the horizontal training is that the occupations of each simulated client are the same; The training request data of the simulated training client includes the requested simulated occupation and the simulated occupation event.
3. The vocational simulation training method for college students according to claim 2, characterized in that, The training strategy generation module obtains the vocational training data according to the training mode and the training request data of the simulated training client, and generates a training strategy according to the intervention degree of the management client and the obtained vocational training data, including: If it is collaborative training, obtain the vocational training data of each occupation according to the simulated occupation event, and modify the vocational training data of the corresponding occupation according to the intervention degree of the management client to obtain the vocational training data corresponding to the simulated client; the vocational training data corresponding to each simulated client and the collaborative relationship constitute the training strategy; If it is horizontal training, obtain the corresponding vocational training data according to the simulated occupation event, and modify the vocational training data of the corresponding occupation according to the intervention degree of the management client to obtain the simulated vocational training data, and the simulated vocational training data is the training strategy.
4. The vocational simulation training method for college students according to claim 3, characterized in that, The obtaining of the matching data of the vocational matching evaluation features according to the vocational matching evaluation feature data corresponding to the simulated training client includes: According to the training strategy, the simulated client collects training data, and obtains the feature data of the vocational matching evaluation features according to the vocational matching evaluation features; If the feature data of the vocational matching evaluation features is greater than the matching data of the vocational matching evaluation features, the vocational matching evaluation features match; all the matching vocational matching evaluation features constitute the matching data of the vocational matching evaluation features.
5. The vocational simulation training method for college students according to claim 4, characterized in that, The described training data auditing module audits the matching data of the obtained career matching evaluation features and the intervention degree of the management client, and obtains the influence degree of the intervention degree of the management client on the career matching degree, including: According to the ratio of each matched career matching evaluation feature to the career matching evaluation feature, obtain the intervened career matching degree; according to the intervention degree of the management client, obtain the unmatched career matching evaluation features that are not intervened, and the ratio of the unmatched career matching evaluation features that are not intervened to the career matching evaluation feature, and obtain the non-intervened career matching degree; the difference between the intervened career matching degree and the non-intervened career matching degree is the influence degree of the intervention degree of the management client on the career matching degree; If the influence degree is less than the influence threshold, the audit passes; otherwise, the audit fails.
6. The vocational simulation training method for college students according to claim 5, characterized in that, If the audit fails, adjust the intervention degree of the management client according to the influence degree, including: adjusting the intervention degree of the management client so that the influence degree is less than the influence threshold.
7. A vocational simulation training system for college students, characterized in that, Apply a college student career simulation training method according to any one of claims 1-6, including a career training database, a data transmission module, a simulation data processing module, a simulation training module, and a simulation client module; The data transmission module and the simulation training module are respectively connected to the simulation data processing module; the career training database and the simulation client module are respectively connected to the data transmission module; Wherein the career training database is used to store career training data and career matching evaluation features of different careers; The simulation training module is used to generate a training strategy and obtain training data according to the training request data of the simulation client module; The simulation client module includes a simulation training client and a management client; The simulation training client is used to submit training request data; the management client is used to manage the training mode; The simulation data processing module includes a training data evaluation module and a training data auditing module; Among them, the training data evaluation module is used to obtain the career matching degree according to the training data; the training data auditing module is used to audit the training strategy and training data according to the training mode to obtain an audit result.
8. The vocational simulation training system for college students according to claim 7, characterized in that, The simulation training module includes a simulation training management module and a training strategy generation module; Wherein the simulation training management module is used to receive the training request data sent by the client module, and extract the training mode and the training request data of the simulation training client; The training strategy generation module is used to obtain the corresponding career training data in the career training database according to the training mode and the training request data of the simulation training client, and generate a training strategy.
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