Talent evaluation method and device, electronic equipment and storage medium

Abstract

The invention discloses a talent evaluation method and device, electronic equipment and a storage medium, and relates to the technical field of talent evaluation, and the main technical scheme comprises the steps: obtaining a talent evaluation type, and determining a test question outline according to the talent evaluation type; wherein different talent evaluation types correspond to proportions of different test question types in the test question outline; selecting a target test question from a preset standard test question bank according to a test question type and a test question proportion in the test question outline, and generating an answer sheet; and performing talent evaluation according to the generated answer sheet. Compared with the prior art, the test question type and proportion are adjusted according to the talent category, the evaluation content is ensured to be matched with the talent characteristics, the pertinence and effectiveness of evaluation are improved, proper test questions can be efficiently screened out from the preset standard test question bank, personalized answer sheets are generated, and the user experience is improved. And talents can be identified and cultivated more accurately.

Description

Technical Field

[0001] This disclosure relates to the field of talent assessment technology, and in particular to a talent assessment method and apparatus, electronic device and storage medium. Background Technology

[0002] In traditional corporate talent management, different positions require different types of talent in order to maximize the value of each individual. Therefore, the assessment and classification of talent is of paramount importance.

[0003] Current talent evaluation methods primarily rely on recommendation materials and individual reports. This approach struggles to comprehensively, objectively, and accurately reflect an individual's research capabilities and contributions. Evaluation indicators for basic innovation talent and high-level scientific research talent require consideration from different perspectives and multi-faceted assessments. Furthermore, the emphasis on evaluation indicators should be tailored to different needs. Using a one-size-fits-all evaluation standard or failing to comprehensively cover all evaluation factors often leads to resource misallocation. Summary of the Invention

[0004] This disclosure provides a talent assessment method, apparatus, electronic device, and storage medium. Its main purpose is to address the problem of insufficient coverage of talent assessment factors, which leads to resource misallocation.

[0005] According to a first aspect of this disclosure, a talent assessment method is provided, comprising:

[0006] Obtain the talent assessment type, and determine the test outline based on the talent assessment type; wherein, the proportion of different test question types in the test outline corresponds to different talent assessment types;

[0007] Based on the question types and proportions in the test outline, target questions are selected from a preset standard question bank to generate an answer sheet;

[0008] Talent assessment will be conducted based on the generated questionnaires.

[0009] Optionally, the talent assessment types include practical and technical types, and the process of obtaining the talent assessment type and determining the test outline based on the talent assessment type includes:

[0010] When the talent assessment type is practical, the proportion of question types in the test outline should emphasize practical questions.

[0011] When the talent assessment type is technical, the proportion of the test question type should be determined with an emphasis on written questions.

[0012] Optionally, before conducting talent assessment based on the generated questionnaire, the method further includes:

[0013] The questions in the preset question bank are weighted according to their difficulty level.

[0014] Optionally, before selecting target questions from a preset standard question bank according to the proportion of the question types, the method further includes:

[0015] Obtain different test questions generated according to test question specifications and test question models; among them, the question types of different test questions are different;

[0016] The generated test questions are stored in the preset standard test question bank.

[0017] Optionally, before conducting talent assessment based on the generated questionnaire, the method further includes:

[0018] An evaluation model is generated based on the test outline and the weights assigned to each test item;

[0019] After conducting talent assessment based on the generated questionnaire, the method further includes:

[0020] The person who received the questionnaire responded;

[0021] The talent's response is evaluated based on the evaluation model to obtain the talent assessment result.

[0022] According to a second aspect of this disclosure, a talent assessment device is provided, comprising:

[0023] A determination unit is used to obtain talent assessment types and determine test outlines based on the talent assessment types; wherein, different talent assessment types correspond to different test question types in the test outlines;

[0024] The first generation unit is used to select target questions from a preset standard question bank according to the question types and proportions in the question outline, and generate an answer sheet.

[0025] The evaluation unit is used to evaluate talent based on the generated questionnaire.

[0026] Optionally, the talent assessment types include practical skills type and technical skills type, and the determining unit includes:

[0027] The first determining module is used to determine the proportion of practical question types in the test outline when the talent assessment type is practical type.

[0028] The second determining module is used to determine the proportion of written question types when the talent assessment type is technical.

[0029] Optionally, the device further includes:

[0030] The weighting unit is used to assign weights to each question in the preset question bank according to the difficulty level of the questions before the evaluation unit conducts talent evaluation based on the generated answer sheet.

[0031] Optionally, the device further includes:

[0032] The first acquisition unit is used to acquire different test questions generated according to the test question specifications and test question models before the first generation unit selects target test questions from the preset standard test question bank according to the test question type ratio; wherein, the different test questions have different question types;

[0033] A storage unit is used to store the generated test questions into the preset standard test question bank.

[0034] Optionally, the device further includes:

[0035] The second generation unit is used to generate an evaluation model based on the test outline and the weights assigned to each test question before the evaluation unit conducts talent evaluation based on the generated answer sheet.

[0036] The device further includes:

[0037] The second acquisition unit is used to acquire the talent response of the questionnaire after the evaluation unit performs talent evaluation based on the generated questionnaire;

[0038] An evaluation unit is used to evaluate the talent's response according to the evaluation model to obtain talent assessment results.

[0039] According to a third aspect of this disclosure, an electronic device is provided, comprising:

[0040] at least one processor; and

[0041] A memory communicatively connected to the at least one processor; wherein,

[0042] The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect above.

[0043] According to a fourth aspect of this disclosure, a non-transitory computer-readable storage medium is provided storing computer instructions, wherein the computer instructions are configured to cause the computer to perform the method described in the first aspect above.

[0044] According to a fifth aspect of this disclosure, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the method described in the first aspect above.

[0045] The talent assessment method, apparatus, electronic device, and storage medium disclosed herein mainly include the following technical solutions: obtaining talent assessment types; determining a test outline based on the talent assessment types; wherein different talent assessment types correspond to different proportions of different test types in the test outline; selecting target test questions from a preset standard test question bank based on the test question types and proportions in the test outline, and generating an answer sheet; and conducting talent assessment based on the generated answer sheet. Compared with related technologies, the embodiments of this application, by adjusting the test question types and proportions according to the talent category, ensure that the assessment content matches the talent characteristics, which not only improves the pertinence and effectiveness of the assessment, but also efficiently selects suitable test questions from the preset standard test question bank, generates personalized answer sheets, and achieves more accurate identification and cultivation of talent.

[0046] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0047] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein:

[0048] Figure 1 A schematic flowchart illustrating a talent assessment method provided in an embodiment of this disclosure;

[0049] Figure 2 This is a schematic diagram of a talent assessment process provided in an embodiment of the present disclosure;

[0050] Figure 3 This is a schematic diagram of the structure of a talent assessment device provided in an embodiment of the present disclosure;

[0051] Figure 4 This is a schematic diagram of the structure of a talent assessment device provided in an embodiment of the present disclosure;

[0052] Figure 5 A schematic block diagram of an example electronic device provided for embodiments of this disclosure. Detailed Implementation

[0053] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0054] The talent assessment method, apparatus, electronic device, and storage medium of this disclosure are described below with reference to the accompanying drawings.

[0055] Figure 1 This is a schematic flowchart of a talent assessment method provided in an embodiment of the present disclosure.

[0056] like Figure 1 As shown, the method includes the following steps:

[0057] Step 101: Obtain the talent assessment type and determine the test outline based on the talent assessment type; wherein, the proportion of different test question types in the test outline corresponds to different talent assessment types.

[0058] In some embodiments, talent assessment types can be divided according to various criteria, such as by position, by job type, or by the knowledge required for the job. Specifically, the type can be determined according to actual needs, and this application embodiment does not limit this.

[0059] In some embodiments, different talent assessment types correspond to different proportions of test question types. For example, if there are three talent assessment types (A, B, and C) and three test question types (E, F, and G), when the talent assessment type is A, the proportion of test question types in the test outline can be 70% for type E and 15% for types F and G respectively; when the talent assessment type is B, the proportion of test question types in the test outline can be 70% for type F and 15% for types E and G respectively; and when the talent assessment type is C, the proportion of test question types in the test outline can be 70% for type G and 15% for types F and E respectively. It should be noted that this description is merely an example and is not a specific limitation on specific talent assessment types and test question types, nor is it a specific limitation on the proportion of test question types. This application embodiment does not impose any limitations in this regard.

[0060] Step 102: Select target questions from the preset standard question bank according to the question types and proportions in the question outline, and generate the answer sheet.

[0061] In some embodiments, the form of the questionnaire can be various, including questionnaires, interviews, aptitude tests, personality tests, etc. Specifically, the embodiments of this application do not limit the specific form of the questionnaire.

[0062] In some embodiments, when selecting target questions from a preset standard question bank, the question types should be highly targeted, including both conceptual and theoretical questions as well as on-site practical questions, and the selected question types should not contain duplicate content.

[0063] Step 103: Conduct talent assessment based on the generated questionnaire.

[0064] In some embodiments, talent assessment is conducted based on the type of target test questions in the questionnaire. For example, if the type of target test questions is a questionnaire response, a written test is conducted; if the type of target test questions is a practical operation, a practical operation assessment is conducted.

[0065] The talent assessment method disclosed herein mainly includes the following technical solutions: obtaining talent assessment types; determining a test outline based on the talent assessment types; wherein different talent assessment types correspond to different proportions of different test question types in the test outline; selecting target test questions from a preset standard test question bank based on the test question types and proportions in the test outline, and generating an answer sheet; and conducting talent assessment based on the generated answer sheet. Compared with related technologies, this application embodiment, by adjusting the test question types and proportions according to the talent category, ensures that the assessment content matches the talent characteristics, which not only improves the pertinence and effectiveness of the assessment, but also efficiently selects suitable test questions from the preset standard test question bank, generates personalized answer sheets, and achieves more accurate identification and cultivation of talent.

[0066] In some embodiments, the talent assessment type includes practical skills type and technical skills type, and the process of obtaining the talent assessment type and determining the test outline based on the talent assessment type includes:

[0067] When the talent assessment type is practical, the proportion of question types in the test outline should emphasize practical questions.

[0068] When the talent assessment type is technical, the proportion of the test question type should be determined with an emphasis on written questions.

[0069] The test includes written questions and practical questions, with different weightings for practical and technical positions. Practical positions emphasize hands-on skills, while technical positions emphasize written answers.

[0070] In some embodiments, an in-depth analysis is conducted on the skill requirements and actual work scenarios of practical personnel to identify which practical skills are the focus of the assessment.

[0071] For example, in the assessment of mechanical practical personnel, practical questions may account for more than 60% to ensure that the candidates' hands-on ability and practical skills can be effectively evaluated. Practical questions may include simulated operations, on-site demonstrations, and case studies. These questions need to simulate the actual working environment, allowing the candidates to perform practical operations in a near-realistic setting.

[0072] For technical personnel, written questions will account for a relatively high proportion, such as multiple choice, fill-in-the-blank, calculation, and essay questions, possibly making up 50%-70% of the total questions, to assess their theoretical knowledge and problem-solving abilities. In some embodiments, the written questions can be designed with varying levels of difficulty according to the technical level of the personnel, progressing from basic to advanced, to differentiate between technical personnel of different levels.

[0073] By employing differentiated design, both practical and technical talent assessments can ensure that the test outlines are closely related to the actual abilities of the candidates, thereby improving the effectiveness and accuracy of the assessments. Such assessment results not only provide companies with precise criteria for talent selection but also offer valuable feedback for the personal development and career planning of individuals.

[0074] In some embodiments, prior to talent assessment based on the generated questionnaire, the method further includes:

[0075] The questions in the preset question bank are weighted according to their difficulty level.

[0076] In some embodiments, weights can be assigned to single-choice, true / false, multiple-choice, and question-and-answer questions, or weights can be assigned according to easy, medium, and difficult question types; or scores can be assigned according to both of the above weighting methods.

[0077] In some embodiments, before selecting target questions from a preset standard question bank according to the question type ratio, the method further includes:

[0078] Obtain different test questions generated according to test question specifications and test question models; among them, the question types of different test questions are different;

[0079] The generated test questions are stored in the preset standard test question bank.

[0080] Please participate Figure 2 , Figure 2 This is a schematic diagram of a talent assessment process provided in an embodiment of this application, such as... Figure 2 As shown, a question-setting expert group can be selected from leaders, experts, and practical workers. This group creates questions based on the question specifications and models, and monitors the quality of the questions according to the question development quality control process to obtain the final questions. The question types must be highly targeted, including both conceptual and theoretical questions as well as specific practical questions. Finally, the question development process must be standardized, each question must have a corresponding source, and the question types must not be repeated or too similar.

[0081] In some embodiments, prior to talent assessment based on the generated questionnaire, the method further includes:

[0082] An evaluation model is generated based on the test outline and the weights assigned to each test item;

[0083] By combining the examination syllabus and assessment items, an evaluation model is finally calculated. The talent assessed in this way is more adaptable to the job and can better select suitable talents.

[0084] After conducting talent assessment based on the generated questionnaire, the method further includes: obtaining the talent response to the questionnaire; evaluating the talent response according to the assessment model to obtain the talent assessment result.

[0085] In some embodiments, the evaluation indicators for each test question are defined according to the weight assigned to each question, and a mathematical model is constructed based on the weight allocation. This model can calculate the comprehensive score of the talent based on the answers to the test questions.

[0086] Using a pre-built assessment model, participants' questionnaires are scored. The model automatically calculates the weight of each question, calculates the total score, analyzes the assessment results, and provides feedback to participants in the form of a report. The report includes detailed scoring information and suggestions for the participants' future development.

[0087] Corresponding to the talent assessment methods described above, this invention also proposes a talent assessment device. Since the device embodiments of this invention correspond to the method embodiments described above, details not disclosed in the device embodiments can be referred to in the method embodiments described above, and will not be repeated here.

[0088] Figure 3 This is a schematic diagram of the structure of a talent assessment device provided in an embodiment of this disclosure, as shown below. Figure 3 As shown, including:

[0089] Unit 21 is used to obtain the talent assessment type and determine the test outline based on the talent assessment type; wherein, the proportion of different test question types in the test outline corresponds to different talent assessment types;

[0090] The first generation unit 22 is used to select target questions from a preset standard question bank according to the question types and proportions in the question outline and generate an answer sheet.

[0091] Evaluation unit 23 is used to evaluate talent based on the generated questionnaire.

[0092] The talent assessment kit disclosed herein mainly includes the following technical solutions: acquiring talent assessment types; determining a test outline based on the talent assessment types; wherein different talent assessment types correspond to different proportions of different question types in the test outline; selecting target questions from a preset standard question bank based on the question types and proportions in the test outline, and generating an answer sheet; and conducting talent assessment based on the generated answer sheet. Compared with related technologies, this application embodiment, by adjusting the question types and proportions according to the talent category, ensures that the assessment content matches the talent characteristics, which not only improves the pertinence and effectiveness of the assessment, but also efficiently selects suitable questions from the preset standard question bank, generates personalized answer sheets, and achieves more accurate identification and cultivation of talent.

[0093] Furthermore, in one possible implementation of the embodiments of this disclosure, such as Figure 4 As shown, the talent assessment types include practical skills and technical skills, and the determining unit 21 includes:

[0094] The first determining module 211 is used to determine the proportion of practical question types in the test outline when the talent assessment type is practical type.

[0095] The second determining module 212 is used to determine the proportion of written question types when the talent assessment type is technical.

[0096] Furthermore, in one possible implementation of the embodiments of this disclosure, such as Figure 4 As shown, the device further includes:

[0097] The weighting unit 24 is used to assign weights to each question in the preset question bank according to the difficulty level of the questions before the evaluation unit 23 conducts talent evaluation based on the generated answer sheet.

[0098] Furthermore, in one possible implementation of the embodiments of this disclosure, such as Figure 4 As shown, the device further includes:

[0099] The first acquisition unit 25 is used to acquire different test questions generated according to the test question specifications and test question models before the first generation unit 22 selects target test questions from the preset standard test question bank according to the test question type ratio; wherein, the different test questions have different question types;

[0100] Storage unit 26 is used to store the generated test questions into the preset standard test question bank.

[0101] Furthermore, in one possible implementation of the embodiments of this disclosure, such as Figure 4 As shown, the device further includes:

[0102] The second generation unit 27 is used to generate an evaluation model based on the test outline and the weights assigned to each test question before the evaluation unit 23 conducts talent evaluation based on the generated answer sheet.

[0103] The device further includes:

[0104] The second acquisition unit 28 is used to acquire the talent response of the questionnaire after the evaluation unit 23 performs talent evaluation based on the generated questionnaire;

[0105] An evaluation unit is used to evaluate the talent's response according to the evaluation model to obtain talent assessment results.

[0106] It should be noted that the foregoing explanation of the method embodiments also applies to the apparatus of the embodiments of this disclosure, and the principle is the same. Therefore, the embodiments of this disclosure are not limited thereto.

[0107] According to embodiments of this disclosure, this disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0108] Figure 5 A schematic block diagram of an example electronic device 300 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0109] like Figure 5 As shown, device 300 includes a computing unit 301, which can perform various appropriate actions and processes based on a computer program stored in ROM (Read-Only Memory) 302 or a computer program loaded from storage unit 308 into RAM (Random Access Memory) 303. RAM 303 can also store various programs and data required for the operation of device 300. The computing unit 301, ROM 302, and RAM 303 are interconnected via bus 304. I / O (Input / Output) interface 305 is also connected to bus 304.

[0110] Multiple components in device 300 are connected to I / O interface 305, including: input unit 306, such as keyboard, mouse, etc.; output unit 307, such as various types of monitors, speakers, etc.; storage unit 308, such as disk, optical disk, etc.; and communication unit 309, such as network card, modem, wireless transceiver, etc. Communication unit 309 allows device 300 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0111] The computing unit 301 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, CPUs (Central Processing Units), GPUs (Graphics Processing Units), various special-purpose AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, DSPs (Digital Signal Processors), and any suitable processor, controller, microcontroller, etc. The computing unit 301 performs the various methods and processes described above, such as talent assessment methods. For example, in some embodiments, the talent assessment method may be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 308. In some embodiments, part or all of the computer program may be loaded and / or installed on device 300 via ROM 302 and / or communication unit 309. When the computer program is loaded into RAM 303 and executed by the computing unit 301, one or more steps of the methods described above may be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to perform the aforementioned talent assessment method by any other suitable means (e.g., by means of firmware).

[0112] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application-Specific Standard Products), SOCs (System-on-Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0113] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0114] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, RAM, ROM, EPROM (Electrically Programmable Read-Only Memory) or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0115] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0116] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication (e.g., communication networks) of any form or medium. Examples of communication networks include LANs (Local Area Networks), WANs (Wide Area Networks), the Internet, and blockchain networks.

[0117] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service ecosystem, addressing the shortcomings of traditional physical hosts and VPS (Virtual Private Server, or simply "VPS") services, such as high management difficulty and weak business scalability. Servers can also be servers for distributed systems or servers incorporating blockchain technology.

[0118] It's important to note that artificial intelligence (AI) is the study of enabling computers to simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). It encompasses both hardware and software technologies. AI hardware technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, and big data processing. AI software technologies primarily include computer vision, speech recognition, natural language processing, machine learning / deep learning, big data processing, and knowledge graph technologies.

[0119] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0120] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A talent assessment method, characterized in that: include: Obtaining a talent assessment type, and determining a test outline according to the talent assessment type; wherein different talent assessment types correspond to proportions of different test question types in the test outline; Select target test questions from a preset standard test question bank according to the test question types and test question proportions in the test question outline, and generate an answer sheet; Perform talent assessment based on the generated answer sheet.

2. The method according to claim 1, characterized in that The talent assessment types include practical types and technical types. The talent assessment types are obtained, and the test outline is determined according to the talent assessment types, including: When the talent assessment type is a practical type, determining the proportion of test questions in the test outline to focus on practical questions; When the talent assessment type is a technical type, the proportion of the test question types is determined with an emphasis on written test questions.

3. The method according to claim 1, characterized in that Before performing talent assessment according to the generated answer sheet, the method further includes: Each question in the preset question bank is weighted according to the difficulty of the question.

4. The method according to claim 1, characterized in that: Before selecting a target test question from a preset standard test question bank according to the test question type ratio, the method further includes: Obtain different test questions generated according to the test question specification and the test question model; wherein different test questions have different question types; The generated test questions are stored in the preset standard test question library.

5. The method according to any one of claims 1 to 5, characterized in that Before performing talent assessment according to the generated answer sheet, the method further includes: Generate an evaluation model based on the test outline and the weighting of each test question; After performing talent assessment according to the generated answer sheet, the method further includes: Obtaining talent responses to the questionnaire; The talent responses are evaluated according to the evaluation model to obtain talent evaluation results.

6. A talent assessment device, characterized in that: include: A determination unit, used to obtain a talent assessment type, and determine a test outline according to the talent assessment type; wherein different talent assessment types correspond to proportions of different test question types in the test outline; A first generating unit, configured to select target test questions from a preset standard test question bank according to the test question types and test question proportions in the test question outline, and generate an answer sheet; An evaluation unit is used to perform talent evaluation based on the generated answer sheet.

7. The device according to claim 6, characterized in that The talent assessment types include practical types and technical types, and the determination unit includes: The first determination module is used to determine, when the talent assessment type is a practical type, that the proportion of test question types in the test question outline focuses on practical question types; The second determination module is used to determine the proportion of the test question types with an emphasis on written answer questions when the talent assessment type is a technical type.

8. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 5.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-5.

10. A computer program product, characterized in that The invention comprises a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 5.

Images