A method and system for college students' career simulation training
By introducing simulation training modules, training strategy generation modules and training data audit modules, the problems of lack of collaborative training and horizontal training in the existing technology, fixed training strategies, and unobjective evaluation, and accurate evaluation and dynamic adjustment of personalized training effects are achieved.
Patent Information
- Application Number
- CN202510661089.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-22
- Publication Date
- 2025-07-25
- Estimated Expiration
- 2045-05-22
AI Technical Summary
The existing professional simulation training methods lack the diversity of collaborative training and horizontal training, the training strategies are fixed, cannot be personalized, and lack an objective training effect evaluation mechanism.
The simulation training module, training strategy generation module and training data audit module are introduced. Through collaborative training and horizontal training modes, the training strategy is dynamically adjusted, and an objective training data audit mechanism is introduced to evaluate the training effect and manage the intervention effect of the client.
The objectivity and personalized adjustment ability of training effects are improved, the deviation of subjective judgment is avoided, and the accurate evaluation of training effects is achieved.
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Figure CN120181808B_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:
[0005] 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;
[0006] 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;
[0007] 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;
[0008] Step 4: The training data audit 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. If the audit passes, proceed to Step 5; if the audit fails, return to Step 2 according to the adjusted intervention degree of the management client.
[0009] Step 5: Obtain the career matching degree corresponding to the simulated training client and the career matching evaluation features that do not match.
[0010] Furthermore, 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:
[0011] The training mode includes collaborative training and horizontal training; the collaborative training is the training where the careers of each simulated client are mutually collaborative and different; the horizontal training is the training where the careers of each simulated client are the same.
[0012] The training request data of the simulated training client includes the requested simulated career and the simulated career event.
[0013] Furthermore, the training strategy generation module obtains the career 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 career training data, including:
[0014] If it is collaborative training, obtain the career training data of each career according to the simulated 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 simulated client; the career training data of each corresponding simulated client and the collaborative relationship constitute the training strategy.
[0015] If it is horizontal training, obtain the corresponding career training data according to the simulated career event, and modify the career training data of the corresponding career according to the intervention degree of the management client to obtain the simulated career training data, and the simulated career training data is the training strategy.
[0016] Furthermore, obtaining the matching data of the career matching evaluation features according to the career matching evaluation feature data of the corresponding simulated training client includes:
[0017] According to the training strategy, the simulated client collects training data, and obtains the feature data of the career matching evaluation features according to the career matching evaluation features.
[0018] If the feature data of the occupational matching evaluation feature is greater than the matching data of the occupational matching evaluation feature, the occupational matching evaluation feature is matched; all the matched occupational matching evaluation features constitute the matching data of the occupational matching evaluation feature.
[0019] Furthermore, the training data auditing module audits the matching data of the occupational matching evaluation feature obtained and the intervention degree of the management client, and obtains the influence degree of the intervention degree of the management client on the occupational matching degree, including:
[0020] According to the ratio of each matched occupational matching evaluation feature to the occupational matching evaluation feature, the intervened occupational matching degree is obtained; according to the intervention degree of the management client, the non-intervened matched occupational matching evaluation features are obtained, and the ratio of the non-intervened matched occupational matching evaluation features to the occupational matching evaluation feature is obtained to get the non-intervened occupational matching degree; the difference between the intervened occupational matching degree and the non-intervened occupational matching degree is the influence degree of the intervention degree of the management client on the occupational matching degree.
[0021] If the influence degree is less than the influence threshold, the audit passes; otherwise, the audit fails.
[0022] Furthermore, if the audit fails, the intervention degree of the management client is adjusted according to the influence degree, including: adjusting the intervention degree of the management client to make the influence degree less than the influence threshold.
[0023] A college student career simulation training system applying 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;
[0024] 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;
[0025] Among them, the career training database is used to store career training data and occupational matching evaluation features of different occupations;
[0026] 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;
[0027] 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;
[0028] The described 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 based on 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.
[0029] Preferably, the simulation training module includes a simulation training management module and a training strategy generation module;
[0030] 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;
[0031] 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.
[0032] The beneficial effect of the present invention is that the present invention introduces a training data auditing mechanism, evaluates the training effect and manages the intervention effect of the client in an objective and quantitative manner, avoids the deviation of subjective judgment, and improves the objectivity of the training effect evaluation. Description of the Drawings
[0033] Figure 1 It is a schematic flow chart of a college student career simulation training method. Detailed Embodiments
[0034] The technical solution of the present invention will be further described in detail below with reference to the drawings, but the protection scope of the present invention is not limited to the following.
[0035] The features and performance of the present invention will be further described in detail below with reference to the embodiments.
[0036] As Figure 1 shown, a college student career simulation training method includes the following steps:
[0037] 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;
[0038] 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;
[0039] Step 3: Based on the training strategy, obtain the training data corresponding to the simulated training client. According to the training data of the corresponding simulated training client and the career matching evaluation features, obtain the career matching evaluation feature data corresponding to the simulated training client. According to the career matching evaluation feature data of the corresponding simulated training client, obtain the matching data of the career matching evaluation features;
[0040] Step 4: The training data audit module audits the obtained matching data of the 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. 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;
[0041] Step 5: Obtain the career matching degree of the corresponding simulated training client and the career matching evaluation features that do not match.
[0042] The described 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:
[0043] The described training mode includes collaborative training and horizontal training; the collaborative training is training in which the careers of each simulation client are mutually collaborative and all different; the horizontal training is that the careers of each simulation client are the same;
[0044] The training request data of the described simulated training client includes the requested simulated career and the simulated career event.
[0045] The described 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:
[0046] If it is collaborative training, obtain the vocational training data of each career according to the simulated career event, and modify the vocational training data of the corresponding career according to the intervention degree of the management client to obtain the vocational training data of the corresponding simulation client; the vocational training data of each corresponding simulation client and the collaborative relationship constitute the training strategy;
[0047] If it is horizontal training, obtain the corresponding vocational training data according to the simulated career event, and modify the vocational training data of the corresponding career according to the intervention degree of the management client to obtain the simulated vocational training data, and the described simulated vocational training data is the training strategy.
[0048] The obtaining of the matching data of the career matching evaluation features according to the career matching evaluation feature data of the corresponding simulated training client includes:
[0049] According to the training strategy, the simulation client collects training data, evaluates features based on career matching, and obtains the feature data of the career matching evaluation features;
[0050] 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 are matched; all the matched career matching evaluation features constitute the matching data of the career matching evaluation features.
[0051] The training data audit 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:
[0052] According to the ratio of each matched career matching evaluation feature to the career matching evaluation feature, the intervened career matching degree is obtained; according to the intervention degree of the management client, the unmatched matched career matching evaluation features are obtained, and the ratio of the unmatched matched career matching evaluation features to the career matching evaluation feature is used to obtain the un-intervened career matching degree; the difference between the intervened career matching degree and the un-intervened career matching degree is the influence degree of the intervention degree of the management client on the career matching degree;
[0053] If the influence degree is less than the influence threshold, the audit passes; otherwise, the audit fails.
[0054] If the audit fails, the intervention degree of the management client is adjusted 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.
[0055] A college student career simulation training system applies the described college student career simulation training method, and includes a career training database, a data transmission module, a simulation data processing module, a simulation training module, and a simulation client module;
[0056] 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;
[0057] Among them, the career training database is used to store career training data and career matching evaluation features of different careers;
[0058] 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;
[0059] 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;
[0060] The described simulation data processing module includes a training data evaluation module and a training data auditing module; the training data evaluation module therein 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.
[0061] The described simulation training module includes a simulation training management module and a training strategy generation module;
[0062] 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;
[0063] 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.
[0064] Specifically, the college student vocational simulation training method includes the following steps:
[0065] 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:
[0066] Collaborative training: The occupations of each simulation client are for training that is mutually collaborative and different from each other. For example, simulating the operation of an enterprise, including multiple departments such as marketing, financial management, and human resources, with each department being responsible for by different simulation clients.
[0067] Horizontal training: The occupations of each simulation client are the same. For example, simulating multiple salespersons competing for one customer at the same time, with each salesperson being played by a different simulation client.
[0068] The training request data of the simulation training client includes the requested simulated occupation and the simulated occupation event. For example, requesting to simulate the occupation of a marketing manager, and the simulated occupation event is the planning of a new product launch conference.
[0069] Step 2: The training strategy generation module obtains 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. According to the intervention degree of the management client and the obtained vocational training data, a training strategy is generated:
[0070] Collaborative training: Obtain the vocational training data for each occupation based on simulated vocational events, and modify the vocational training data for the corresponding occupation according to the intervention level of the management client to obtain the vocational training data for the corresponding simulated client. The vocational training data for each corresponding simulated client, along with the collaborative relationship, constitutes 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 new product launches.
[0071] Horizontal training: Obtain the corresponding vocational training data based on simulated vocational events, and modify the vocational training data for the corresponding occupation according to the intervention level of the management client to obtain the simulated vocational training data, which 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.
[0072] Step 3: Based on the training strategy, the simulated training client conducts training and collects training data. According to the vocational matching evaluation characteristics, obtain the vocational matching evaluation characteristic data for the corresponding simulated training client. Based on the vocational matching evaluation characteristic data for the corresponding simulated training client, obtain the matching data of the vocational matching evaluation characteristics:
[0073] According to the training strategy, the simulated client collects training data, such as data on budget allocation, promotion strategies, etc. in the planning of new product launches by a marketing manager.
[0074] According to the vocational matching evaluation characteristics, such as communication ability, teamwork ability, innovation ability, etc., obtain the characteristic data of the vocational matching evaluation characteristics.
[0075] If the characteristic data of the vocational matching evaluation characteristics is greater than the matching data of the vocational matching evaluation characteristics (a preset threshold), then the vocational matching evaluation characteristic is a match. All the matching vocational matching evaluation characteristics constitute the matching data of the vocational matching evaluation characteristics.
[0076] Step 4: The training data audit module audits the matching degree of the obtained vocational matching evaluation characteristics and the intervention level of the management client to obtain the influence degree of the intervention level of the management client on the vocational matching degree:
[0077] According to the ratio of each matching vocational matching evaluation characteristic to the vocational matching evaluation characteristics, obtain the intervention vocational matching degree. For example, in the simulation of enterprise operation, if the communication ability, teamwork ability, and innovation ability of a marketing manager are all matches, then the intervention vocational matching degree is 100%.
[0078] Based on the degree of intervention of the management client (such as the adjustment range of budget allocation), obtain the un-intervened matching career matching evaluation features, the ratio of the un-intervened matching career matching evaluation features to the career matching evaluation features, and obtain the un-intervened career matching degree. For example, if the communication ability and teamwork ability of the marketing manager match, but the innovation ability does not match when the budget allocation is not adjusted, the un-intervened career matching degree is 66.7%.
[0079] The difference between the intervened career matching degree and the un-intervened career matching degree is the degree of influence of the intervention of the management client on the career matching degree. 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, adjust the intervention degree of the management client according to the degree of influence, and return to step two.
[0080] Step five: After the audit passes, obtain the career matching degree and the mismatched career matching evaluation features of the corresponding simulation training client. For example, the career matching degree of the marketing manager is 80%, and the mismatched career matching evaluation feature is innovation ability.
[0081] This college student career simulation training system applies the above-mentioned 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:
[0082] Career training database: Used to store career training data and career matching evaluation features of different occupations. For example, store the career training data of the marketing manager, including budget allocation, publicity strategy, etc., and career matching evaluation features, such as communication ability, teamwork ability, innovation ability, etc.
[0083] 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.
[0084] 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 career 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.
[0085] Simulation training module: 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 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 the training strategy.
[0086] 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.
[0087] Embodiment 1: Collaborative training for simulating enterprise operation
[0088] Suppose it is necessary to simulate the operation of a medium-sized enterprise, which involves three departments: marketing, financial management, and human resources. Each department is responsible for by a different simulation client.
[0089] The simulation training module receives the training request data sent by the simulation client module, parses that the training mode is collaborative training, and that the three simulation training clients respectively request to simulate the occupations of the marketing manager, financial manager, and human resources manager. The simulated occupational 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.
[0090] The training strategy generation module obtains the occupational training data of the marketing manager, financial manager, and human resources manager from the occupational training database.
[0091] 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 the recruitment plan of the human resources department to give priority to talents with specific skills.
[0092] Modify the occupational training data of the corresponding occupation according to the intervention degree, generate the occupational training data of each simulation client, and form a collaborative training strategy. For example, when the budget of the marketing manager is reduced, it is necessary to re-plan the various expense expenditures in the planning of the new product launch conference.
[0093] 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 in the planning of the new product launch conference by the marketing manager.
[0094] According to the occupational matching evaluation characteristics (communication ability, teamwork ability, professional knowledge, etc.), obtain the occupational matching evaluation characteristic data of each simulation training client.
[0095] If the data of the communication ability, teamwork ability, and professional knowledge of the marketing manager are all greater than the preset threshold, then these characteristics match and constitute the matching data of the occupational matching evaluation characteristics.
[0096] The training data audit module calculates the intervention occupational matching degree. If the occupational matching evaluation characteristics of the three departments all match, then the intervention occupational matching degree is 100%.
[0097] Calculate the degree of un-intervened career 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 un-intervened career matching is 66.7%.
[0098] Calculate the impact of the intervention degree of the management client on the degree of career matching. The difference is 33.3%, which is greater than the impact threshold of 5%. 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.
[0099] After the audit passes, obtain the career matching degree and the mismatched career matching evaluation characteristics of each simulated training client. For example, the career matching degree of the marketing manager is 75%, and the mismatched characteristic is professional knowledge; the career matching degree of the finance manager is 85%, and the mismatched characteristic is cost control ability; the career matching degree of the human resources manager is 90%, and there is no mismatched characteristic.
[0100] Example 2: Horizontal training for simulating salespersons competing for customers
[0101] Simulate multiple salespersons competing for an important customer at the same time, and each salesperson is played by a different simulated client.
[0102] Step implementation
[0103] The simulation training module receives the training request data sent by the simulated client module, parses out that the training mode is horizontal training, and multiple simulated training clients all request the simulated salesperson occupation, and the simulated occupation event is competing for a specific customer.
[0104] The training strategy generation module obtains the occupation training data of the salesperson from the occupation training database. The management client sets the intervention degree, such as requiring the customer's demand preference to be more price-sensitive. Modify the occupation training data according to the intervention degree to obtain the simulated occupation 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.
[0105] The simulated training client trains based on the training strategy, collects training data, such as the quotation plans of each salesperson, customer communication records, etc. According to the career matching evaluation characteristics (communication skills, sales skills, adaptability, etc.), obtain the career matching evaluation characteristic data of each simulated training client. If the data of a certain salesperson's communication skills, sales skills, and adaptability are all greater than the preset threshold, then these characteristics match and constitute the matching data of the career matching evaluation characteristics.
[0106] The training data auditing module calculates the degree of intervention in career matching. For example, if more than half of the career matching evaluation features match among multiple salespersons, the degree of intervention in career matching is the corresponding proportion. The degree of non-intervention in career matching is calculated. Assuming that when the customer demand preference is not adjusted, only a few salespersons can match the career matching evaluation features, the degree of non-intervention in career matching is low.
[0107] 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 career matching degree after intervention is 70%, the career matching degree without intervention is 60%, and the influence degree is 10% (this is an example for illustration, actually it passes if it is less than 5%), and the audit passes.
[0108] Result output
[0109] After the audit passes, the career matching degrees and the mismatched career matching evaluation features of each simulated training client are obtained. For example, the career matching degree of salesperson A is 80%, and the mismatched feature is adaptability; the career matching degree of salesperson B is 75%, and the mismatched feature is sales skills; the career matching degree of salesperson C is 90%, and there is no mismatched feature.
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, 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 simulated training client and the vocational matching evaluation features that do not match.
2. The college student career simulation training method according to claim 1, wherein 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. A college student career simulation training method according to claim 2, wherein, 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. A college student career simulation training method 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. A college student career simulation training method 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, the intervened career matching degree is obtained; according to the intervention degree of the management client, the non-intervened matched career matching evaluation features are obtained, and the ratio of the non-intervened matched career matching evaluation features to the career matching evaluation feature is used to 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. A college student career simulation training method according to claim 5, characterized in that If the audit fails, the intervention degree of the management client is adjusted 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 college student career simulation training system, characterized in that, Applying 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; The training data evaluation module therein 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. A college student career simulation training system 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.
Citation Information
Patent Citations
Analogue simulation training system for interview training of colleges and universities
CN118762570A
Management method and system suitable for enterprise training
CN119722400A