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Talent assessment system and method based on behaviors

A talent and behavior technology, applied in the field of behavior-based talent evaluation system, can solve problems such as the inability to quantitatively evaluate the coverage and degree of teaching knowledge points, the inability to cover the quality of talents, errors, etc., to achieve real and effective evaluation results and convenient use experience. , the effect of wide coverage

Inactive Publication Date: 2018-09-28
武汉文都创新教育研究院(有限合伙)
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  • Abstract
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  • Application Information

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Problems solved by technology

[0003] The traditional evaluation method is to manually collect the limited index data of the evaluated object for evaluation and evaluation, which cannot cover all aspects of the quality of talents, and cannot obtain targeted and accurate data
It is very necessary to obtain targeted and accurate data covering all aspects of the quality of talents, such as the evaluation of mental health indicators. If the current school teachers and counselors cannot accurately grasp the mental health of students in a certain period of time, they cannot carry out psychological intervention in advance. To guide students, it will lead students to make wrong choices due to psychological problems. For example, in the teaching management process, teachers are currently unable to quantitatively evaluate the coverage and degree of teaching knowledge points, resulting in the inability to target the teaching time and teaching depth of each knowledge point. Make a reasonable weight distribution

Method used

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  • Talent assessment system and method based on behaviors
  • Talent assessment system and method based on behaviors
  • Talent assessment system and method based on behaviors

Examples

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Effect test

Embodiment 1

[0047] A behavior-based talent assessment method, its applications include but not limited to talent learning ability assessment, talent learning effect assessment, talent work ability assessment, career planning assessment, self-cognition assessment, mental health assessment, social ability assessment and teacher teaching assessment , the present embodiment implements a behavior-based talent learning ability assessment method, the method comprising the following steps:

[0048] S1. Establish a talent learning ability evaluation model, which further includes the following steps:

[0049] Step 1. Obtain sample data through automatic machine collection and manual collection, process the sample data, and extract characteristic data of the sample data. The processing steps include data preparation and data cleaning and conversion. The data The preparation steps include: merging data sets and records, selecting data subset samples, summarizing data records, exporting new data attri...

Embodiment 2

[0056] Such as image 3 As shown, a behavior-based talent evaluation system includes a collection terminal and a cloud server 2 that communicate with each other through a communication network. In this embodiment, the collection terminal is a data collection platform 1, and the data collection platform 1 Set on a computer or smart phone, the data collection platform 1 includes a sequentially connected data collection module 101, a data cache module 102, a data generation module 103 and a data transmission module 104, and the cloud server 2 is provided with sequentially connected data collection modules. Processing module 201, data storage module 202, data calculation module 203 and data output module 204, the data collection module 101 includes but not limited to: university school-enterprise cooperation link, co-construction laboratory link, co-construction research center link, enterprise self Links to online schools, links to offline training institutions, links to joint sc...

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Abstract

The invention discloses a talent assessment system and method based on behaviors, and the method comprises the steps: establishing corresponding talent assessment data models for different talent assessment systems; obtaining target talent behavior data through a collection system; performing data cleaning and conversion of the behavior data, and obtaining a feature data set; loading the feature data set into the talent assessment data models, calling a talent behavior assessment index system library, assessing and calculating the indicator value of the talent behavior data and generating a final talent assessment report. The behavioral data of a target talent is extracted in two modes: system automatic collection and manual collection. Through combining with the big data analysis and cloud computing technologies, the computing matching of the talent assessment data models with the behavioral data of an assessed person, and the method provides a detailed and personalized talent assessment result for the assessed person.

Description

technical field [0001] The invention relates to data collection in big data, data mining technology and machine learning methods, in particular to a behavior-based talent evaluation system and method. Background technique [0002] In the market economy environment where talent competition is increasingly fierce, it is of great significance to help educational institutions and employers achieve scientific and effective selection, employment, education and retention of talents and provide valuable reference information. [0003] The traditional evaluation method is to manually collect the limited index data of the evaluated object for evaluation and evaluation, which cannot cover all aspects of the quality of talents, and cannot obtain targeted and accurate data. It is very necessary to obtain targeted and accurate data covering all aspects of the quality of talents, such as the evaluation of mental health indicators. If the current school teachers and counselors cannot accura...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06N99/00
CPCG06Q10/0639
Inventor 李明山
Owner 武汉文都创新教育研究院(有限合伙)
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