Talent occupational skill assessment method and system based on big data

Abstract

The invention discloses a talent occupational skill assessment method and system based on big data, and relates to the technical field of big data processing, and the method specifically comprises: obtaining behavior data of a plurality of students in a college from a college student management system, wherein the behavior data of each student comprises a plurality of behavior sub-data; for each student, processing the behavior sub-data to obtain a capability evaluation score corresponding to the student; training according to the behavior data of each student and the corresponding ability evaluation score to obtain a talent occupational skill evaluation model; obtaining behavior data of a student to be evaluated from a college student management system, and inputting the behavior data into the talent occupational skill evaluation model to obtain a talent occupational skill evaluation result of the student to be evaluated; and generating a personal evaluation report of the to-be-evaluated student according to the talent occupational skill evaluation result. The talent occupational skill assessment model is established based on the behavior data of the students in the school, various abilities of the students are comprehensively considered, and the talent assessment accuracy is effectively improved.

Description

technical field [0001] The invention relates to the technical field of big data processing, in particular to a method and system for evaluating talents' professional skills based on big data. Background technique [0002] For college students who have just graduated, they have basically zero work experience, do not have a clear judgment on their own professional ability, and companies cannot evaluate the ability of candidates. Candidates are unable to find suitable companies based on their own unclear abilities, and are forced by the pressure of livelihood. Haitou resumes, job hunting for various types of jobs, there is a mentality of "higher success, lower success", bumping into walls when looking for a job, low success rate of job hunting, gradually declining job hunting expectations, and the difficulty of finding a job for college students is becoming increasingly severe. [0003] Existing talent assessment systems on the market, such as personality tests, are mostly base...

AI Technical Summary

Problems solved by technology

[0002] For college students who have just graduated, they have basically zero work experience, do not have a clear judgment on their own professional ability, and companies cannot evaluate the ability of candidates. Candidates are unable to find suitable companies based on their own unclear abilities, and are forced by the pressure of livelihood. Haitou resumes, job hunting for various types of jobs, there is a mentality of "higher success, lower achievement", bumping into walls when looking for a job, low success rate of job hunting, gradually declining job hunting expectations, and the difficulty of finding a job for college students is becoming increasingly severe

[0003] Existing talent assessment systems on the market, such as personality tests, are mostly based on question-and-answer forms. The examinee participates in the assessment for a certain purpose, such as a job-seeking product manager. The purpose-based answers of the examinee have a lot of subjective initiative, resulting in data With randomness, subjectivity, unauthenticity, and one-off, the accuracy and authenticity of the evaluation results are poor

Moreover, the existing talent evaluation system is generally based on the students' academic performance in school, which is one-sided. The scope of ability evaluation is only limited to academic performance, while for social skills, organizational skills, leadership skills, creativity, continuous learning skills, thinking skills, Lack of comprehensive consideration and judgment of one's own personality

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