CN113128869B - Occupational competence evaluation method - Google Patents
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Abstract
The invention discloses a professional ability evaluation method.A evaluator logs in a specified account and inputs a preset or described professional type through an input module; displaying the professional field corresponding to the occupation type to an evaluator through database matching or semantic analysis; the evaluation unit reads the basic information of an evaluator corresponding to the account, and generates an evaluation item according to the basic information and the professional field; the evaluation unit analyzes the completion condition of the evaluation item, language data, visual data and blood oxygen saturation through a multi-dimensional evaluation model in the evaluation unit, and finally obtains evaluation data. The occupation evaluation method can quickly and comprehensively evaluate competence and social competence of an evaluator, and can comprehensively test and evaluate each specific competence of the evaluator; the corresponding data acquisition module is combined, so that errors caused by single-mode evaluation can be avoided, and the scores can be effectively corrected.
Description
Technical Field
The invention relates to the field of information data processing, in particular to a basic occupational competence evaluation method.
Background
The volunteers of the examinees refer to colleges and universities and professions selected and reported by the examinees and are comprehensive reflection of factors such as the aspiration, the desire, the hobbies, the personality, the ability and the like of the examinees. The filled-in volunteers are actually a "two-way choice" between examinees and colleges: on one hand, the examinees express their wishes, namely, to which colleges and universities they like, what specialties they like, and the like, by filling in the wishes; on the other hand, each general college and university takes the filled volunteers of the examinees as the basic basis for recording and selects qualified newborn from a plurality of examinees. The reasonable application of the volunteers is very significant for the examinees.
Therefore, students also want to know the professions in which they are interested, know their own competence, and know the matching situation between their own competence and the professions in the future. Meanwhile, the advantages of the user are expected to be exerted, and the user can choose to be suitable for the specialty of the user. However, the existing professional assessment report cannot give better guidance on one hand; on the other hand, the evaluation dimension of the evaluation result is not single, and the evaluation result can be given to students from a single dimension only through questions, so that misjudgment is easy to occur.
The technical problem to be solved is how to know the professional ability and give reasonable suggestion guidance for future professional planning of students who have clear professional directions but have insufficient self-knowledge.
Disclosure of Invention
Aiming at the problems, the invention aims to provide an occupational competence evaluation method which can provide better reference guidance and more meta-dimension analysis for students.
In order to realize the technical purpose, the scheme of the invention is as follows: an occupational competence evaluation method comprises the following specific steps:
s1, logging in a specified account by an evaluator, and inputting a preset or described occupation type by the evaluator through an input module;
s2, displaying the professional field corresponding to the occupation type to an evaluator through database matching or semantic analysis, and selecting a category of professional field by the evaluator for subsequent evaluation;
the evaluation unit reads the basic information of an evaluator corresponding to the account, and generates an evaluation item according to the basic information and the professional field;
s3, acquiring language data, visual data and blood oxygen saturation of the evaluator in the evaluation project through the data acquisition module; the evaluation unit analyzes the completion condition of the evaluation item, language data, visual data and blood oxygen saturation through a multi-dimensional evaluation model in the evaluation unit, and finally obtains evaluation data.
Preferably, in step S3, the personal information in the evaluation data is encrypted and desensitized and then uploaded to the server, so as to obtain student summarized data;
and the multidimensional evaluation model is combined with the summary data and evaluation data of past students or same students to carry out comprehensive analysis and output to an evaluation report of an evaluator, and the evaluation report also comprises a guidance instruction.
Preferably, the evaluation unit includes:
a competence unit for testing a primary competence associated with the area of expertise;
the personality diathesis unit is used for testing the matching degree of the personality diathesis and the professional field;
and the social quality unit is used for testing the social quality requirement necessary in the professional field.
Preferably, the evaluation unit further comprises at least one display unit for displaying the designated content, and the data acquisition module comprises an eye movement sensor, a blood oxygen sensor and a pickup microphone;
the eye movement sensor can capture visual data of an evaluator when the evaluator browses, the visual data comprises eye movement speed, pupil contraction state, blinking times, staying position and time, and the evaluation unit analyzes the visual data to obtain the tension state, focus of attention and concentration degree of the evaluator;
the blood oxygen sensor can detect the blood oxygen saturation of an evaluator, and the evaluation unit records the fatigue change degree of the evaluator after finishing each evaluation item;
the pickup microphone can record voice data of an evaluator, the voice speed, the pitch, the intonation, the tone and the voice fluctuation state of the voice data are analyzed through the evaluation unit, meanwhile, the speech data are subjected to semantic recognition through big data through the evaluation unit, and grammar, vocabulary and overall language logic of the evaluator are analyzed through the evaluation unit after recognition.
Preferably, the competency unit comprises a memory, linguistic expressive force, observational force, attention, linguistic comprehension, logical reasoning force and perception integrated force evaluation subunit;
the social quality unit comprises a dependent capacity, a psychological adjusting capacity, a resolving capacity, a social responsibility, a adaptability, a cooperation capacity, a psychological sensing capacity, a confidence capacity, a homocentric capacity and a stress tolerance evaluation subunit.
Preferably, the personality and quality unit comprises a toughness, integrity, tension, autonomy, accountability and exploratory evaluation subunit.
Preferably, the display unit is a VR scene testing module, the evaluation unit can transmit scene data in the database to the VR scene testing module, and the VR scene testing module displays the virtual stereo scene to the evaluator.
Preferably, the competence quality unit, the personality quality unit and the social quality unit in the step S3 all comprise at least one evaluation subunit;
total score of the assessor in the area of expertise:
wherein the score of the evaluator completing the evaluation subunit is S, the correction value of the evaluation subunit is L, and the total score S of the competence quality unit, the personality quality unit and the social quality unit in the professional fieldGeneral assemblyWeight value of (1) respectively k1、k2、k3。
The vocational assessment method has the beneficial effects that comprehensive assessment can be rapidly and comprehensively carried out on competence and social competence of an evaluator, and meanwhile, all specific competencies under the competence and social competence are comprehensively tested and evaluated; by combining the corresponding data acquisition modules, errors caused by evaluation in a single mode can be avoided, and scores can be effectively corrected; the multidimensional evaluation model can be used for carrying out comprehensive analysis by combining the summary data and the evaluation data of past or same students and outputting the comprehensive analysis to an evaluation report and a guidance instruction of an evaluator.
Drawings
FIG. 1 is a schematic flow diagram of the present invention;
FIG. 2 is a graph of the profile of the personality trait unit score according to the present invention;
FIG. 3 is a graph of the distribution of the social trait unit scores of the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and specific embodiments.
As shown in fig. 1 to 3, the specific embodiment of the present invention is an occupational competence assessment method, which comprises the following specific steps:
and S1, logging in by an evaluator according to an account number distributed by the school, inputting an ideal occupation type in a center by the evaluator through a keyboard or a touch screen, and converting the occupation into a corresponding professional due to the fact that a student has certain cognitive deficiency on the relation between the occupation and the professional.
S2, displaying the professional field corresponding to the occupation type to an evaluator through database matching or semantic analysis, and selecting a category of professional field by the evaluator for subsequent evaluation; in order to improve the accuracy of evaluation, after the evaluation of one category of professional field is finished, the evaluation of other categories of professional field can be carried out;
the evaluation unit reads basic information (information such as sex, hobbies, daily scores and grade ranking) of an evaluator corresponding to the account, generates evaluation items according to the basic information and professional fields, corresponds to different evaluation items in different professional fields, and has different evaluation items for different students to investigate;
the evaluation unit includes: a competence unit for testing a primary competence associated with the area of expertise; the personality diathesis unit is used for testing the matching degree of the personality diathesis and the professional field; and the social quality unit is used for testing the social quality requirement necessary in the professional field.
The competency unit comprises a memory, language expression, observation, attention, language comprehension, logical reasoning and perception integration force evaluation subunit;
the social quality unit comprises a dependent capacity, a psychological adjusting capacity, a resolving capacity, a social responsibility, a adaptability, a cooperation capacity, a psychological sensing capacity, a confidence capacity, a homocentric capacity and a stress tolerance evaluation subunit.
The personality and quality unit comprises a toughness, integrity, tension, self-discipline, accountability and exploratory evaluation subunit.
The evaluation unit also comprises at least one display unit for displaying specified contents, and the data acquisition module comprises an eye movement sensor, a blood oxygen sensor and a pickup microphone; the display unit is a VR scene test module, the evaluation unit can transmit scene data in the database to the VR scene test module, and the VR scene test module displays the virtual three-dimensional scene for an evaluator.
The eye movement sensor can capture visual data of an evaluator when the evaluator browses, the visual data comprises eye movement speed, pupil contraction state, blinking times, staying position and time, and the evaluation unit analyzes the visual data to obtain the tension state, focus of attention and concentration degree of the evaluator;
the blood oxygen sensor can detect the blood oxygen saturation of an evaluator, and the evaluation unit records the fatigue change degree of the evaluator after finishing each evaluation item;
the pickup microphone can record voice data of an evaluator, the voice speed, the pitch, the intonation, the tone and the voice fluctuation state of the voice data are analyzed through the evaluation unit, meanwhile, the speech data are subjected to semantic recognition through big data through the evaluation unit, and grammar, vocabulary and overall language logic of the evaluator are analyzed through the evaluation unit after recognition.
S3, acquiring language data, visual data and blood oxygen saturation of the evaluator in the evaluation project through the data acquisition module; the evaluation unit analyzes the completion condition of the evaluation item, language data, visual data and blood oxygen saturation through a multi-dimensional evaluation model in the evaluation unit, and finally obtains evaluation data;
the personal information in the evaluation data is encrypted and desensitized and then uploaded to a server to obtain student summary data; and the multidimensional evaluation model is combined with the summary data and evaluation data of past students or same students to carry out comprehensive analysis and output to an evaluation report of an evaluator, and the evaluation report also comprises a guidance instruction.
wherein s1iScore of the evaluation subunit in the competence units, s2iScore, s, for an evaluation subunit in an individual personality unit3iIs the score of an evaluation subunit in a socially competent unit, L1iCorrection value, L, for the evaluation subunit in the competence unit2iCorrection value, L, for the evaluation subunit in the personality trait unit3iA correction value for the evaluation subunit in the social quality unit;
total score of the assessor in the area of expertise:
wherein the score of the evaluator completing the evaluation subunit is S, the correction value of the evaluation subunit is L, and the total score S of the competence quality unit, the personality quality unit and the social quality unit in the professional fieldGeneral assemblyWeight value of (1) respectively k1、k2、k3。
Example one
According to the profession selected by an evaluator, a doctor corresponds to the professional field, and the profession is of a clinical medicine type.
The assessors scored the following in units of competency:
the assessors scored the following in terms of individual character units:
serial number | Evaluation subunit | Score of | Correction value | Instructions for |
1 | Toughness and |
9 | 1.03 | Can insist on finishing the task specified by the project and does not shake |
2 | |
9 | 1.0 | The fact is that they comply with the moral constraints |
3 | |
9 | 0.95 | Doing things to calm the mind and calm the |
4 | Self- |
6 | 0.98 | The will is strong |
5 | Accountability of |
6 | 1.0 | Obey rules and can be responsible for performing specified |
6 | Exploratory | 7 | 1.05 | Has higher curiosity and can be actively explored |
The assessors scored the social prime units as follows:
serial number | Evaluation subunit | Score of | Correction value | Instructions for |
1 | |
9 | 1.06 | Has strong flexibility to problems and pressure |
2 | |
9 | 1.05 | Can adjust the psychological state in time |
3 | |
4 | 1.0 | To solve the problems, the proposal can be put forward |
4 | Sense of |
5 | 1.0 | Has certain attention to |
5 | |
6 | 1.07 | Can adapt to the change of |
6 | Force of |
6 | 1.0 | Willing to cooperate with others to complete tasks |
7 | Psychological stress | 7 | 1.06 | Is relatively sensitive |
8 | Self-confidence | 7 | 1.0 | Recognize oneself |
9 | Center of common usage | 8 | 0.98 | Can improve the human will |
10 | |
9 | 0.95 | Under higher pressure, project tasks can be continuously completed |
And the correction value L is obtained by analyzing relevant data collected by the eye movement sensor, the blood oxygen sensor and the pickup microphone. The comprehensive evaluation dimension of the evaluator is basically suitable, and the requirements of the professional field can be basically met. Wherein linguistic expressive power, intuitive integrated power observational power, linguistic comprehension power, logical reasoning power, problem solving power and attention need to be further improved.
The occupation evaluation method can quickly and comprehensively evaluate competence and social competence of an evaluator, and can comprehensively test and evaluate each specific competence of the evaluator; by combining the corresponding data acquisition modules, errors caused by evaluation in a single mode can be avoided, and scores can be effectively corrected; the multidimensional evaluation model can be used for carrying out comprehensive analysis by combining the summary data and the evaluation data of past or same students and outputting the comprehensive analysis to an evaluation report and a guidance instruction of an evaluator.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and any minor modifications, equivalent replacements and improvements made to the above embodiment according to the technical spirit of the present invention should be included in the protection scope of the technical solution of the present invention.
Claims (4)
1. An occupational competence assessment method, comprising: the method comprises the following specific steps:
s1, logging in a specified account by an evaluator, and inputting a preset or described occupation type by the evaluator through an input module;
s2, displaying the professional field corresponding to the occupation type to an evaluator through database matching or semantic analysis, and selecting a category of professional field by the evaluator for subsequent evaluation;
the evaluation unit reads the basic information of an evaluator corresponding to the account, and generates an evaluation item according to the basic information and the professional field;
the evaluation unit includes:
a competence unit for testing a primary competence associated with the area of expertise;
the personality diathesis unit is used for testing the matching degree of the personality diathesis and the professional field;
the social quality unit is used for testing the social quality requirement necessary in the professional field;
the evaluation unit also comprises at least one display unit for displaying specified contents, and the data acquisition module comprises an eye movement sensor, a blood oxygen sensor and a pickup microphone;
the eye movement sensor can capture visual data of an evaluator when the evaluator browses, the visual data comprises eye movement speed, pupil contraction state, blinking times, staying position and time, and the evaluation unit analyzes the visual data to obtain the tension state, focus of attention and concentration degree of the evaluator;
the blood oxygen sensor can detect the blood oxygen saturation of an evaluator, and the evaluation unit records the fatigue change degree of the evaluator after finishing each evaluation item;
the pickup microphone can record voice data of an evaluator, the speech speed, the pitch, the intonation, the tone and the voice fluctuation state of the voice data are analyzed through the evaluation unit, meanwhile, the evaluation unit carries out semantic recognition on the voice data through big data, and after the semantic recognition, grammar, vocabulary and overall language logic of the evaluator are analyzed through the evaluation unit;
s3, acquiring language data, visual data and blood oxygen saturation of the evaluator in the evaluation project through the data acquisition module; the evaluation unit analyzes the completion condition of the evaluation item, language data, visual data and blood oxygen saturation through a multi-dimensional evaluation model in the evaluation unit, and finally obtains evaluation data;
in the step S3, the competence units, the personality quality units and the social quality units all comprise at least one evaluation subunit;
total score of the assessor in the area of expertise:
wherein s is1iScore, s, for the evaluation subunit in the competence trait unit2iScore, s, for an evaluation subunit in an individual personality unit3iIs the score of an evaluation subunit in a socially competent unit, L1iCorrection value, L, for the evaluation subunit in the competence unit2iCorrection value, L, for the evaluation subunit in the personality trait unit3iA correction value for the evaluation subunit in the social quality unit; the evaluation person has a score of S for completing the evaluation subunit, the correction value of the evaluation subunit is L, and the total score S of the competence quality unit, the personality quality unit and the social quality unit in the professional fieldGeneral assemblyWeight value of (1) respectively k1、k2、k3;
In step S3, the personal information in the evaluation data is encrypted and desensitized and then uploaded to a server to obtain student summarized data;
and the multidimensional evaluation model is combined with the summary data and evaluation data of past students or same students to carry out comprehensive analysis and output to an evaluation report of an evaluator, and the evaluation report also comprises a guidance instruction.
2. The occupational competence assessment method according to claim 1, characterized in that: the competency unit comprises a memory, language expression, observation, attention, language comprehension, logical reasoning and perception integration force evaluation subunit;
the social quality unit comprises a dependent capacity, a psychological adjusting capacity, a resolving capacity, a social responsibility, a adaptability, a cooperation capacity, a psychological sensing capacity, a confidence capacity, a homocentric capacity and a stress tolerance evaluation subunit.
3. The occupational competence assessment method according to claim 1, characterized in that: the personality and quality unit comprises a toughness, integrity, tension, self-discipline, accountability and exploratory evaluation subunit.
4. The occupational competence assessment method according to claim 1, characterized in that: the display unit is a VR scene test module, the evaluation unit can transmit scene data in the database to the VR scene test module, and the VR scene test module displays the virtual three-dimensional scene for an evaluator.
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CN109243605A (en) * | 2018-09-20 | 2019-01-18 | 段新 | A kind of phrenoblabia diagnoses and treatment system based on artificial intelligence |
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