Method and device for determining business training information and computer program product

Abstract

The invention discloses a business training information determination method and apparatus, and a computer program product. Relates to the field of business training, and the method comprises the steps: obtaining business training data of a target user, the business training data comprising at least one of the following: a training test score, an operation behavior identification result, and a training course completion rate; training dimensions of the business training information are determined, a target matrix of the business training information is determined based on the training dimensions, and the training dimensions comprise at least one of technical theory, skill application, business handling efficiency and business development; and determining target business training information of the target user based on the target matrix and the business training data. Through the method and the device, the problem that the business training information of the employee is determined inaccurately due to single training data in related technologies is solved.

Description

Technical Field

[0001] The present application relates to the field of business training, and more specifically, to a method, device, and computer program product for determining business training information. Background Art

[0002] Business training plays a vital role in improving the skills and professionalism of corporate employees. The effectiveness of practical training directly impacts employee learning outcomes and work efficiency. Practical training emphasizes the integration of theory and practice, focusing on employees' practical skills, problem-solving abilities, and innovation capabilities.

[0003] The methods used in related art to determine business training information focus solely on knowledge mastery while ignoring other key competency dimensions. This leads to one-sided business training results and fails to provide an effective basis for improving business training methods. These methods are influenced by the personal biases of training instructors and lack objectivity. They are unable to accurately identify weak links in business training and make it difficult to provide specific improvement suggestions. Furthermore, these methods use single-dimensional training data, such as knowledge tests, skill tests, and problem-solving tests. However, business training information generated by these testing methods cannot fully reflect an employee's comprehensive capabilities.

[0004] Currently, no effective solution has been proposed to address the problem in related technologies of inaccurate business training information for employees due to the singleness of training data. Summary of the Invention

[0005] The main purpose of this application is to provide a method, device and computer program product for determining business training information to solve the problem in related technologies of inaccurate determination of employee business training information due to single training data.

[0006] To achieve the above-mentioned objectives, according to one aspect of the present application, a method for determining business training information is provided. The method comprises: obtaining business training data of a target user, wherein the business training data includes at least one of the following: training test scores, operational behavior assessment results, and training course completion rates; determining training dimensions of the business training information, and determining a target matrix for the business training information based on the training dimensions, wherein the training dimensions include at least one of the following: technical theory, skill application, business processing efficiency, and business development; and determining target business training information for the target user based on the target matrix and the business training data.

[0007] Optionally, determining a target matrix of business training information based on training dimensions includes: obtaining a variety of business test data, wherein the business test data includes at least one of the following: training test questions, operational behavior test questions, and training course content; determining a preset test weight for each type of business test data on each training dimension, and obtaining a test weight vector for each type of business test data; and forming a target matrix from the test weight vectors of the multiple types of business test data.

[0008] Optionally, determining the target business training information of the target user based on the target matrix and the business training data includes: determining the target business test data corresponding to each business training data from the target matrix, and determining the test weight of the target business test data in each training dimension; calculating the product of the business training data and the test weight of each training dimension to obtain the sub-detection result of the business training data in each training dimension; summing the sub-detection results of all the business training data of the target user in the target training dimension to obtain the detection result of the target user in the target training dimension; and determining the detection results of all training dimensions of the target user as the target business training information.

[0009] Optionally, the method also includes: obtaining the target business training information of all users in the business training group, extracting the assessment results of each user under each training dimension from the target business training information of all users; calculating the mean assessment results of all users in each training dimension to obtain the mean assessment results of all training dimensions; and generating a business training report based on the mean assessment results of all training dimensions.

[0010] Optionally, after generating a business training report based on the mean of the assessment results of all training dimensions, the method further includes: obtaining a preset assessment result threshold for each training dimension, wherein the assessment result threshold is used to characterize the minimum assessment result that the user needs to meet under the training dimension after the business training; determining the mean of the assessment results of each training dimension from the business training report, and judging whether the mean of the assessment results is greater than or equal to the assessment result threshold of the training dimension; determining that the business training is completed when the mean of the assessment results of all training dimensions is greater than or equal to the assessment result threshold of the corresponding training dimension; determining that the business training is incomplete when there is at least one training dimension whose mean of the assessment results is less than the assessment result threshold of the corresponding training dimension.

[0011] Optionally, after determining that the business training is not completed, the method also includes: determining a target training dimension whose detection result mean is less than the detection result threshold; obtaining target business data related to the target training dimension in the business test data; and adjusting the user's business training content based on the target business data.

[0012] Optionally, after determining the target business training information of the target user based on the target matrix and the business training data, the method further includes: determining the assessment results of the target user in each training dimension from the target business training information; determining that the target user's business training is qualified when the assessment results of all training dimensions of the target user are greater than or equal to the assessment result threshold of the corresponding training dimension; determining that the target user's business training is unqualified when the assessment result of at least one training dimension of the target user is less than the assessment result threshold of the corresponding training dimension; for the target user who fails the business training, repeatedly determining the target business training information of the target user every preset period until the assessment results of all training dimensions of the target user are greater than or equal to the assessment result threshold of the corresponding training dimension.

[0013] To achieve the above-mentioned purpose, according to another aspect of the present application, a device for determining business training information is provided. The device comprises: an acquisition unit, configured to acquire business training data of a target user, wherein the business training data includes at least one of the following: training test scores, operational behavior assessment results, and training course completion rates; a first determination unit, configured to determine training dimensions of the business training information, and to determine a target matrix for the business training information based on the training dimensions, wherein the training dimensions include at least one of the following: technical theory, skill application, business handling efficiency, and business development; and a second determination unit, configured to determine target business training information for the target user based on the target matrix and the business training data.

[0014] In order to achieve the above-mentioned purpose, according to another aspect of the present application, a computer program product is provided, including a computer program, which, when executed by a processor, implements the steps of the method for determining business training information described in each embodiment of the present application.

[0015] Through this application, the following steps are adopted: obtaining the business training data of the target user, wherein the business training data includes at least one of the following: training test scores, operational behavior assessment results, and training course completion rate; determining the training dimensions of the business training information, and determining the target matrix of the business training information based on the training dimensions, wherein the training dimensions include at least one of the following: technical theory, skill application, business handling efficiency, and business development; determining the target business training information of the target user based on the target matrix and the business training data, thereby solving the problem of inaccurate determination of employee business training information due to the single training data in related technologies. By obtaining multi-dimensional data such as training test scores, operational behavior assessment results, and training course completion rate to determine the user's business training information, the user's business training situation is comprehensively displayed, thereby achieving the effect of improving the accuracy of determining the employee's business training information. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings, which constitute part of this application, are intended to provide a further understanding of this application. The exemplary embodiments and descriptions of this application are intended to explain this application and do not constitute an improper limitation on this application. In the accompanying drawings:

[0017] Figure 1 This is a flowchart of a method for determining business training information provided in an embodiment of the present application;

[0018] Figure 2 is a schematic diagram of a business training system provided according to an embodiment of the present application;

[0019] Figure 3 is a schematic diagram of a feature matching engine processing flow according to an embodiment of the present application;

[0020] Figure 4 is a schematic diagram of a device for determining business training information provided in an embodiment of the present application;

[0021] Figure 5 is a schematic diagram of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0022] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in this application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0023] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for display, data for analysis, etc.) involved in this disclosure are all information and data authorized by the user or fully authorized by all parties.

[0026] It should be noted that the information collected is information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of relevant data comply with the relevant laws, regulations and standards of the relevant regions, take necessary confidentiality measures, do not violate public order and good customs, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0027] The present invention will be described below in conjunction with preferred implementation steps. Figure 1 is a flow chart of a method for determining business training information provided in an embodiment of the present application. Figure 1 As shown, the method includes the following steps:

[0028] Step S101: Acquire business training data of a target user, wherein the business training data includes at least one of the following: training test scores, operation behavior detection results, and training course completion rate.

[0029] In step S101, the training test results may include but are not limited to the results of the business training test, the performance of the simulation test, the score of the skill assessment, etc. These results directly reflect the user's knowledge mastery and skill application during the training period. The operational behavior assessment results can be obtained by real-time monitoring and recording the user's actual operational behavior during the training process, such as the operating steps in the virtual environment, the time to complete the task, the error rate, etc. These assessment results are used to objectively evaluate the user's practical ability and operational proficiency. The completion rate of the training course may include the degree to which the user completes the training course, including the course participation, completion ratio, and feedback on the course content. The completion rate is used to reflect the employee's learning attitude and effort, and also indirectly reflects the quality of the training course design and teaching effect. By obtaining multi-dimensional business training data of users, more accurate business training information that can fully understand the effectiveness of employee training can be obtained.

[0030] Step S102, determining the training dimensions of the business training information, and determining the target matrix of the business training information based on the training dimensions, wherein the training dimensions include at least one of the following: technical theory, skill application, business handling efficiency, and business development.

[0031] In step S102, the technical theory dimension is used to assess the user's mastery of technical principles and theoretical knowledge within a specific business field, ensuring that the user has a solid knowledge foundation. The skill application dimension is used to examine the user's ability to transform theoretical knowledge into practical operations, including problem-solving skills and proficiency in operational skills, thereby evaluating the efficiency and quality of their skill conversion. The business processing efficiency dimension is used to measure the speed and efficiency of users in completing specific business operations. The business development dimension is used to focus on the user's ability to innovate and expand business, including understanding new businesses and the ability to develop new customers or markets, reflecting their business vision and innovation capabilities. Based on the determined training dimensions, a target matrix is ​​constructed. Each row of the matrix represents a training dimension, and each column corresponds to a specific evaluation item. The matrix elements represent the weight or importance of each evaluation item in that dimension. The target matrix determined based on the above training dimensions can systematically record and analyze each user's performance in each dimension, thereby providing a scientific basis for business training feedback, training optimization, and personal development.

[0032] Step S103: determining target business training information of the target user based on the target matrix and the business training data.

[0033] In step S103, the business training data of the target user is dynamically matched with the target matrix. The scores of the target user in each training dimension are calculated to obtain the target business training information. The collected business training data is preprocessed, including cleaning, verification and normalization, to ensure the quality and consistency of the data. The preprocessed business training data is mapped to the target matrix, that is, the data is assigned to the corresponding position of the matrix according to the data type and dimension attributes. Statistical analysis and / or machine learning algorithms are used to calculate the scores or performance levels of the target user in each dimension based on the target matrix and the mapped business training data to form a detailed business training information overview, that is, the target business training information.

[0034] By comparing target users' current business training information with their desired standards or target levels, we identify capability gaps and potential training needs. Based on these gaps and needs, we develop personalized targeted business training information, including recommended training courses, intensive skill areas, and improvement strategies, to effectively address deficiencies and promote the professional growth of target users. We regularly evaluate target users' progress and dynamically adjust targeted business training information based on new business training data, forming a closed-loop feedback mechanism to continuously optimize training effectiveness.

[0035] The method for determining business training information provided by the embodiment of the present application obtains the business training data of the target user, wherein the business training data includes at least one of the following: training test scores, operational behavior detection results, and training course completion rate; determines the training dimension of the business training information, and determines the target matrix of the business training information based on the training dimension, wherein the training dimension includes at least one of the following: technical theory, skill application, business handling efficiency, and business development; determines the target business training information of the target user based on the target matrix and the business training data, thereby solving the problem of inaccurate determination of employee business training information due to single training data in related technologies. By obtaining multi-dimensional data such as training test scores, operational behavior detection results, and training course completion rate to determine the user's business training information, the user's business training situation is comprehensively displayed, thereby achieving the effect of improving the accuracy of determining the employee's business training information.

[0036] After determining the training dimensions, a target matrix is ​​constructed based on the training dimensions and preset test weights. Optionally, in the method for determining business training information provided in an embodiment of the present application, determining the target matrix of business training information based on the training dimensions includes: obtaining a variety of business test data, wherein the business test data includes at least one of the following: training test questions, operational behavior test questions, and training course content; determining the preset test weights for each type of business test data on each training dimension, and obtaining a test weight vector for each type of business test data; and constructing a target matrix from the test weight vectors of a variety of business test data.

[0037] In some examples, training test questions may be test questions covering theoretical knowledge, used to assess the user's mastery of technical theory. Operational behavior test questions may be assessment questions involving specific operational skills, designed to test the user's skill application ability and execution efficiency. The training course content may include a training course outline, handouts and case analysis, as well as training course videos. For each type of business test data, determine its preset test weight for each training dimension. The preset test weight can be adjusted according to corporate goals, job requirements and specific business scenarios to ensure that the focus of the assessment matches actual needs. For each type of business test data, a test weight vector is constructed according to the test weights determined above. Each element in the vector corresponds to the weight value of a training dimension, which will serve as the basis for subsequent calculations and analysis.

[0038] The target matrix is ​​constructed by combining the test weight vectors of all acquired business test data. The rows of the matrix represent different business test data, the columns represent the training dimensions, and the matrix elements are the corresponding test weights. For example, assuming that three types of business test data (A, B, C) are selected, each containing four training dimensions, then the target matrix C can be expressed as:

[0039]

[0040] Among them, c ij It represents the test weight of the i-th business test data on the j-th training dimension, n is the number of business test data types, and m is the number of training dimensions.

[0041] After constructing the target matrix, it can be used to determine the business training information for target users. By calculating the user's performance on different test data (i.e., business training data) and the target matrix, the user's comprehensive score in each dimension is calculated, and the target business training information is obtained, providing a basis for customized training plans and personalized development paths.

[0042] This embodiment constructs a target matrix to make the assessment of business training information more comprehensive and accurate, which helps enterprises to more effectively improve the business capabilities of employees and achieve reasonable allocation and utilization of training resources.

[0043] After determining the target matrix, business training information can be generated based on the user's business training data. Optionally, in the business training information determination method provided in the embodiment of the present application, determining the target business training information of the target user based on the target matrix and the business training data includes: determining the target business test data corresponding to each business training data from the target matrix, and determining the test weight of the target business test data in each training dimension; calculating the product of the business training data and the test weight of each training dimension to obtain the sub-detection result of the business training data in each training dimension; summing the sub-detection results of all business training data of the target user in the target training dimension to obtain the detection result of the target user in the target training dimension; and determining the detection results of all training dimensions of the target user as the target business training information.

[0044] In some examples, based on the business test data represented by the rows in the target matrix and the training dimensions characterized by the columns, the target business test data associated with each training data is confirmed, for example, "the training test score of question a" is associated with "training test question a". The test weight of each target business test data in each training dimension is then read from the target matrix. The score of the target user on each business training data (that is, the specific value of the business training data) is multiplied by the weight of the corresponding training dimension in the target matrix to obtain the sub-test result. For example, the user's score X on the "training test question" is multiplied by the weight of the question in the "technical theory" dimension to obtain the sub-test result of the business training data in the technical theory dimension.

[0045] The sub-assessment results for each training dimension calculated for the target user across all business training data are summed to obtain the target user's assessment result for each training dimension. For example, the total assessment result for the technical theory dimension is the sum of the sub-assessment results for all business training data related to technical theory. The assessment results for each training dimension are integrated into a vector or list to form the target business training information, which comprehensively reflects the user's overall performance in business training.

[0046] For example, the business training data of the target user is X = [x1, x2, ..., xn]. According to the target matrix C, the score S = [s1, s2, ..., sm] of the target user in each training dimension is calculated. The calculation formula can be expressed as follows:

[0047]

[0048] Normalize the scores of target users:

[0049]

[0050] Among them, Z i,j is the standardized score of trainee i on training dimension j, μ j is the average score of all users in the training dimension, σ j is the standard deviation of all users in the training dimension.

[0051] If the target matrix C is represented by the following formula:

[0052]

[0053] Target user score: User A's business training data is X = [85, 78, 80, 70]. Calculate user A's score on each training dimension: S = [85 × 0.8 + 78 × 0.2, 85 × 0.2 + 78 × 0,6 + 80 × 0.3 + 70 × 0.1, ...].

[0054] This implementation accurately assesses target users' performance across different training dimensions based on a goal matrix and business training data, providing data support and action guidance for subsequent training optimization and personal development. This improves the accuracy of training evaluations and enhances the relevance and effectiveness of training strategies. Through data-driven algorithms, it reduces subjectivity and provides objective business training quality assessment results.

[0055] In addition to generating the target business training information of the target users, a business training report can also be generated based on the business training information of the business training group. Optionally, in the method for determining the business training information provided in the embodiment of the present application, the method also includes: obtaining the target business training information of all users in the business training group, and extracting the assessment results of each user under each training dimension from the target business training information of all users; calculating the mean assessment results of all users in each training dimension to obtain the mean assessment results of all training dimensions; and generating a business training report based on the mean assessment results of all training dimensions.

[0056] In some examples, target business training information calculated for all users in a business training group is obtained. This information includes user assessment results across dimensions such as technical theory, skill application, business processing efficiency, and business development. From each piece of target business training information collected, the assessment results for each user in each training dimension are extracted to form a multi-dimensional data set containing all user assessment results. The mean assessment results for all users in each training dimension can be calculated using the following formula:

[0057]

[0058] Among them, Q j is the mean of the detection results of training dimension j, and N is the total number of users in the business training group.

[0059] Generate a comprehensive business training report based on the mean assessment results of all training dimensions. The report can record: a. The mean assessment results of each training dimension, comparing the performance differences between different dimensions. b. Analyzing the trend of the mean assessment results of each dimension, and evaluating the overall improvement or decline in the training effect. c. Identifying user groups whose performance is below or above the mean, and providing a basis for subsequent adjustments to training strategies. d. Proposing improvement suggestions, based on the mean assessment results of each dimension, pointing out the weak links in the training, and recommending increased training investment or improved business training methods. Conduct an in-depth analysis of the generated business training report to identify common problems and individual differences in the training process, and provide data support for the formulation of the next training plan and personalized training program. Feedback the report analysis results to the training department and users participating in the training to help the training department optimize the course content and training methods. It also allows users to understand their own performance in training and improvement suggestions to promote personal development.

[0060] This embodiment aggregates and analyzes the performance of the entire business training group to generate insightful business training reports, providing a powerful tool for quantitative evaluation of training effectiveness and continuous improvement of training strategies, thereby improving the efficiency of training resource utilization and enhancing the overall business capabilities of the enterprise.

[0061] Whether the business training is completed is determined by comparing the inspection results with a preset inspection result threshold. Optionally, in the method for determining business training information provided in an embodiment of the present application, after generating a business training report based on the mean inspection result of all training dimensions, the method further includes: obtaining a preset inspection result threshold for each training dimension, wherein the inspection result threshold is used to characterize the minimum inspection result that the user needs to meet under the training dimension after the business training; determining the mean inspection result of each training dimension from the business training report, and judging whether the mean inspection result is greater than or equal to the inspection result threshold of the training dimension; determining that the business training is completed when the mean inspection results of all training dimensions are greater than or equal to the inspection result threshold of the corresponding training dimension; determining that the business training is incomplete when the mean inspection results of at least one training dimension are less than the inspection result threshold of the corresponding training dimension.

[0062] In some examples, an assessment result threshold is preset for each training dimension, and the assessment result threshold represents the minimum ability level that users are expected to achieve in this dimension after business training. For example, the assessment result threshold for the technical theory dimension may be set at 80 points, and the threshold for the skill application dimension may be set at 75 points. From the generated business training report, the average assessment result of all users in each training dimension is extracted. The average assessment result of each training dimension is compared with the preset assessment result threshold of the dimension to determine whether the average is greater than or equal to the threshold. If the average assessment result is greater than or equal to the corresponding threshold in all training dimensions, it can be considered that the business training as a whole has been completed and the established ability improvement goal has been achieved. On the contrary, if the average assessment result of at least one training dimension is less than its corresponding threshold, it indicates that the ability level of the business training group has not yet met the standard in this or more dimensions, and the business training status is incomplete.

[0063] Feedback on the completion status of business training is provided to training management and participants, clarifying which dimensions have achieved their intended goals and which areas require further improvement. By comparing the mean of the assessment results with pre-set thresholds, the training department can identify training content or methods that require improvement. For incomplete training dimensions, remedial plans or enhanced training sessions are designed to ensure that all participants fully achieve their business training goals.

[0064] This embodiment compares assessment results with pre-set assessment thresholds and monitors competency levels based on quantitative indicators, ensuring the effectiveness and relevance of training activities. This also provides a scientific basis for subsequent training resource allocation and curriculum optimization. This improves training efficiency, promotes the balanced development of employee capabilities, and ultimately enhances the overall business capabilities of the enterprise.

[0065] If it is determined that the business training is not completed, the business training content can be adjusted based on the corresponding training dimension. Optionally, in the method for determining business training information provided in the embodiment of the present application, after determining that the business training is not completed, the method also includes: determining a target training dimension whose detection result mean is less than the detection result threshold; obtaining target business data related to the target training dimension in the business test data; and adjusting the user's business training content based on the target business data.

[0066] In some examples, the mean assessment results for each training dimension in the business training report are reviewed to identify dimensions that fall below a preset assessment threshold, known as the target training dimension. Content closely related to the target training dimension can then be filtered from the business test data. For example, if "Skill Application" is identified as the target training dimension, the focus should be on test questions involving specific skill operations and user performance on these questions. Based on the target business data, an in-depth analysis of user weaknesses in the target training dimension can be conducted, determining whether this is due to insufficient theoretical knowledge, lack of practical skills, or inappropriate problem-solving strategies. This helps pinpoint the problem. Based on the analysis results, the business training content can be adjusted to strengthen the educational focus on the target training dimension. For example, if the group's mean assessment results for the "Skill Application" dimension are found to be below the threshold, the training content can be enhanced with more practical exercises and case studies to improve proficiency and application of the skill.

[0067] Reorganize training activities based on the adjusted business training plan, strengthen the focus on the target training dimensions, and provide more targeted teaching resources and support. After the new training cycle, recalculate and compare the mean of the assessment results to review the effectiveness of the business training content adjustments. If necessary, iterate and optimize until the mean assessment results for all training dimensions reach or exceed the preset assessment result threshold.

[0068] This embodiment ensures efficient use of training resources and achievement of training goals by dynamically identifying and addressing weak links in business training, thereby improving the business capabilities and work efficiency of the entire group.

[0069] For users who fail the business training, the target business training information of the target user is re-determined every preset period until the business training is qualified. Optionally, in the method for determining the business training information provided in the embodiment of the present application, after determining the target business training information of the target user based on the target matrix and the business training data, the method further includes: determining the assessment results of the target user in each training dimension from the target business training information; determining that the target user's business training is qualified when the assessment results of all training dimensions of the target user are greater than or equal to the assessment result threshold of the corresponding training dimension; determining that the target user's business training is unqualified when the assessment result of at least one training dimension of the target user is less than the assessment result threshold of the corresponding training dimension; for the target user who fails the business training, repeatedly determining the target business training information of the target user every preset period until the assessment results of all training dimensions of the target user are greater than or equal to the assessment result threshold of the corresponding training dimension.

[0070] In some examples, the assessment results of the target user in each training dimension are extracted from the target business training information. The assessment results of each training dimension are compared with the preset assessment result threshold to check whether the target user's performance in all dimensions meets the standards. If all assessment results are greater than or equal to the corresponding threshold, the target user's business training status is judged to be qualified. If the target user's assessment result in any training dimension is lower than the preset threshold of that dimension, the business training status is marked as unqualified, indicating that the user's ability in that dimension has not yet reached the expected level. For target users who fail business training, a remedial training plan is formulated to focus on strengthening their learning and practice in the unqualified dimensions to ensure the pertinence and effectiveness of resources.

[0071] Set a preset period, such as one month or one quarter, to repeat the process of determining target business training information. This involves testing and calculating the assessment results for target users again to track their performance improvement. If a target user fails any training dimension, continue the periodic assessment until the user's assessment results in all training dimensions meet or exceed the preset assessment result threshold.

[0072] This embodiment ensures that each user can fully achieve the business training objectives after undergoing personalized remedial training through this cyclical evaluation and technical adjustment process, thereby improving training efficiency and effectiveness.

[0073] According to another embodiment of the present application, a business training system is also provided. Figure 2 Schematic diagram of a business training system provided according to an embodiment of the present application. Figure 2As shown, the system includes: a data acquisition module: used to collect user test scores, practical performance, classroom participation and other data. A multidimensional ability modeling module: used to construct a mapping relationship between the course ability dimension and the test question ability dimension. A feature matching engine: used to dynamically match user performance with the ability dimension. A teaching quality assessment module: used to calculate the average score of each user in each ability dimension and generate a visual report. A visualization and feedback module: used to generate a visual report and provide suggestions for teaching improvements. A data analysis module: used to calculate the trainees' scores in each ability dimension through an algorithm and evaluate the quality of training.

[0074] in, Figure 3 Schematic diagram of the feature matching engine processing flow according to the embodiment of the present application. Figure 3 As shown, the user score and the preset ability matrix are input, the ability matrix is ​​traversed and the score vector is initialized, the contribution value of each test question is calculated to calculate the user's ability score, and the score vector is updated. After completing the calculation of the score vectors of all test questions, the score of each ability dimension is output.

[0075] This embodiment uses a business training system to comprehensively reflect users' comprehensive capabilities through multi-dimensional capability modeling. Data-driven algorithms reduce subjectivity and provide objective evaluation results. A feature matching engine dynamically matches student performance with capability dimensions. Visual reports provide specific suggestions for teaching improvements.

[0076] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0077] The present application also provides a device for determining business training information. It should be noted that the device for determining business training information in the present application can be used to execute the method for determining business training information provided in the present application. The following describes the device for determining business training information provided in the present application.

[0078] Figure 4 Schematic diagram of a device for determining business training information according to an embodiment of the present application. Figure 4 As shown, the device includes:

[0079] The acquisition unit 401 is configured to acquire business training data of a target user, wherein the business training data includes at least one of the following: training test scores, operation behavior detection results, and training course completion rate;

[0080] A first determining unit 402 is configured to determine training dimensions of the business training information, and determine a target matrix of the business training information based on the training dimensions, wherein the training dimensions include at least one of the following: technical theory, skill application, business handling efficiency, and business development;

[0081] The second determining unit 403 is configured to determine target business training information of the target user based on the target matrix and the business training data.

[0082] The device for determining business training information provided in the embodiment of the present application obtains business training data of a target user through an acquisition unit 401, wherein the business training data includes at least one of the following: training test scores, operation behavior detection results, and training course completion rate; a first determination unit 402 determines the training dimension of the business training information, and determines a target matrix of the business training information based on the training dimension, wherein the training dimension includes at least one of the following: technical theory, skill application, business handling efficiency, and business development; a second determination unit 403 determines the target business training information of the target user based on the target matrix and the business training data, thereby solving the problem in related technologies of inaccurate determination of employee business training information due to single training data, and determines the user's business training information by acquiring multi-dimensional data such as training test scores, operation behavior detection results, and training course completion rate, and comprehensively displays the user's business training situation, thereby achieving the effect of improving the accuracy of determining the employee's business training information.

[0083] Optionally, in the device for determining business training information provided in an embodiment of the present application, the first determination unit 402 includes: an acquisition module for acquiring a variety of business test data, wherein the business test data includes at least one of the following: training test questions, operation behavior test questions, and training course content; a first determination module for determining the preset test weights of each business test data in each training dimension, and obtaining a test weight vector for each business test data; and a composition module for constituting a target matrix from the test weight vectors of a variety of business test data.

[0084] Optionally, in the business training information determination device provided in the embodiment of the present application, the second determination unit 403 includes: a second determination module, used to determine the target business test data corresponding to each business training data from the target matrix, and determine the test weight of the target business test data in each training dimension; a calculation module, used to calculate the product of the business training data and the test weight of each training dimension, and obtain the sub-detection result of the business training data in each training dimension; a summation module, used to sum the sub-detection results of all business training data of the target user in the target training dimension, and obtain the detection result of the target user in the target training dimension; a third determination module, used to determine the detection results of all training dimensions of the target user as the target business training information.

[0085] Optionally, in the device for determining business training information provided in an embodiment of the present application, the device also includes: an extraction unit, used to obtain the target business training information of all users in the business training group, and extract the assessment results of each user under each training dimension from the target business training information of all users; a calculation unit, used to calculate the mean of the assessment results of all users in each training dimension, and obtain the mean of the assessment results of all training dimensions; and a generation unit, used to generate a business training report based on the mean of the assessment results of all training dimensions.

[0086] Optionally, in the device for determining business training information provided in an embodiment of the present application, the device further includes: a threshold acquisition unit, used to obtain a preset detection result threshold for each training dimension, wherein the detection result threshold is used to characterize the minimum detection result that the user needs to meet under the training dimension after the business training; a judgment unit, used to determine the mean detection result of each training dimension from the business training report, and judge whether the mean detection result is greater than or equal to the detection result threshold of the training dimension; a third determination unit, used to determine that the business training is completed when the mean detection result of all training dimensions is greater than or equal to the detection result threshold of the corresponding training dimension; a fourth determination unit, used to determine that the business training is not completed when there is at least one training dimension whose mean detection result is less than the detection result threshold of the corresponding training dimension.

[0087] Optionally, in the device for determining business training information provided in an embodiment of the present application, the device also includes: a fifth determination unit, used to determine a target training dimension whose detection result mean is less than a detection result threshold; a data acquisition unit, used to obtain target business data related to the target training dimension in the business test data; and an adjustment unit, used to adjust the user's business training content based on the target business data.

[0088] Optionally, in the business training information determination device provided in the embodiment of the present application, the device also includes: a sixth determination unit, used to determine the assessment results of the target user in each training dimension from the target business training information; a seventh determination unit, used to determine that the target user's business training is qualified when the assessment results of all training dimensions of the target user are greater than or equal to the assessment result threshold of the corresponding training dimension; an eighth determination unit, used to determine that the target user's business training is unqualified when the assessment result of at least one training dimension of the target user is less than the assessment result threshold of the corresponding training dimension; a ninth determination unit, used to repeatedly determine the target business training information of the target user who has failed the business training at preset intervals until the assessment results of all training dimensions of the target user are greater than or equal to the assessment result threshold of the corresponding training dimension.

[0089] The device for determining business training information includes a processor and a memory. The above-mentioned acquisition unit 401, first determination unit 402 and second determination unit 403 are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize corresponding functions.

[0090] The processor includes a core, which retrieves the corresponding program unit from the memory. One or more cores can be set, and the accuracy of the employee's business training information can be improved by adjusting the core parameters.

[0091] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0092] An embodiment of the present invention provides a computer-readable storage medium having a program stored thereon. When the program is executed by a processor, a method for determining business training information is implemented.

[0093] An embodiment of the present invention provides a processor, which is used to run a program, wherein the program executes a method for determining business training information when running.

[0094] Figure 5 Schematic diagram of an electronic device according to an embodiment of the present application. Figure 5 As shown, electronic device 501 includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, the following steps are performed: obtaining business training data for a target user, where the business training data includes at least one of the following: training test scores, operational behavior assessment results, and training course completion rates; determining training dimensions for the business training information, and determining a target matrix for the business training information based on the training dimensions, where the training dimensions include at least one of the following: technical theory, skill application, business processing efficiency, and business development; and determining target business training information for the target user based on the target matrix and the business training data. The device herein may be a server, PC, PAD, mobile phone, etc.

[0095] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program initialized with the following method steps: obtaining business training data of a target user, wherein the business training data includes at least one of the following: training test scores, operation behavior assessment results, and training course completion rate; determining the training dimensions of the business training information, and determining the target matrix of the business training information based on the training dimensions, wherein the training dimensions include at least one of the following: technical theory, skill application, business handling efficiency, and business development; determining the target business training information of the target user based on the target matrix and the business training data.

[0096] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0097] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0098] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0099] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0100] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0101] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0102] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0103] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0104] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0105] The above are merely embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.

Claims

1. A method for determining business training information, characterized in that: include: Obtaining business training data of the target user, wherein the business training data includes at least one of the following: training test scores, operation behavior assessment results, and training course completion rate; Determining training dimensions of the business training information, and determining a target matrix for the business training information based on the training dimensions, wherein the training dimensions include at least one of the following: technical theory, skill application, business handling efficiency, and business development; Target business training information of the target user is determined based on the target matrix and the business training data.

2. The method according to claim 1, characterized in that The target matrix for determining business training information based on the training dimensions includes: Acquire a variety of business test data, wherein the business test data includes at least one of the following: training test questions, operation behavior test questions, and training course content; Determine the preset test weight of each business test data in each training dimension, and obtain the test weight vector of each business test data; The target matrix is ​​formed by the test weight vectors of the multiple service test data.

3. The method according to claim 1, characterized in that Determining the target business training information of the target user based on the target matrix and the business training data includes: Determining target business test data corresponding to each business training data from the target matrix, and determining a test weight of the target business test data in each training dimension; Calculating the product of the business training data and the test weight of each training dimension to obtain the sub-test results of the business training data on each training dimension; Summing the sub-detection results of all business training data of the target user on the target training dimension to obtain the detection result of the target user on the target training dimension; The detection results of all training dimensions of the target user are determined as the target business training information.

4. The method according to claim 1, wherein The method further comprises: Obtain target business training information for all users in the business training group, and extract the assessment results for each user under each training dimension from the target business training information for all users; Calculating the mean of the detection results of all users in each training dimension to obtain the mean of the detection results of all training dimensions; Generate a business training report based on the average of the assessment results of all training dimensions.

5. The method according to claim 4, characterized in that After generating a business training report based on the mean values ​​of the assessment results of all training dimensions, the method further includes: Obtaining a preset detection result threshold for each training dimension, wherein the detection result threshold is used to represent the minimum detection result that the user needs to meet in the training dimension after business training; Determining a mean value of the detection results of each training dimension from the business training report, and judging whether the mean value of the detection results is greater than or equal to a detection result threshold value of the training dimension; When the mean values ​​of the test results of all training dimensions are greater than or equal to the corresponding test result thresholds of the training dimensions, the business training is determined to be completed; If the mean value of the detection results of at least one training dimension is less than the detection result threshold of the corresponding training dimension, it is determined that the business training is incomplete.

6. The method according to claim 5, characterized in that After determining that the business training is not completed, the method further includes: Determining a target training dimension whose mean detection result is less than the detection result threshold; Obtaining target business data related to the target training dimension in the business test data; Adjust the user's business training content based on the target business data.

7. The method according to claim 1, characterized in that After determining the target business training information of the target user based on the target matrix and the business training data, the method further includes: Determining the identification result of the target user in each training dimension from the target business training information; If the detection results of all training dimensions of the target user are greater than or equal to the detection result thresholds of the corresponding training dimensions, it is determined that the business training of the target user has passed; If the target user has an identification result of at least one training dimension that is less than the identification result threshold of the corresponding training dimension, determining that the target user has failed the business training; For the target user who fails the business training, the target business training information of the target user is repeatedly determined every preset period until the detection results of all training dimensions of the target user are greater than or equal to the detection result threshold of the corresponding training dimension.

8. A device for determining business training information, characterized in that: include: An acquisition unit, configured to acquire business training data of a target user, wherein the business training data includes at least one of the following: training test scores, operation behavior assessment results, and training course completion rate; A first determining unit is configured to determine training dimensions of the business training information, and determine a target matrix of the business training information based on the training dimensions, wherein the training dimensions include at least one of the following: technical theory, skill application, business handling efficiency, and business development; A second determining unit is configured to determine target business training information of the target user based on the target matrix and the business training data.

9. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method for determining business training information according to any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: It includes one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining business training information as described in any one of claims 1 to 7.

Images