CN112184039A - Assessment method and system for new school major - Google Patents
Assessment method and system for new school major Download PDFInfo
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- CN112184039A CN112184039A CN202011069575.0A CN202011069575A CN112184039A CN 112184039 A CN112184039 A CN 112184039A CN 202011069575 A CN202011069575 A CN 202011069575A CN 112184039 A CN112184039 A CN 112184039A
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Abstract
The invention discloses an evaluation method of a new school setting specialty, which comprises the following steps: s1, analyzing the distribution situation, employment situation and graduation situation of the specialty in the whole country range or province and city range according to the professional name by a clustering comparison correlation algorithm to know the culture status and social demand situation of the specialty at present; s2, after a certain specialty is definitely established, matching the setting standards of the education department according to the professional name, and looking up the setting conditions of other colleges and universities in the range of the country or the provinces and cities of each setting standard, wherein the setting conditions comprise the dimensions of credit setting, course setting, teacher structure, graduation requirements, practice modes, teaching expenditure investment, evaluation models and biographical quality, and then analyzing the linear relation between the dimensions and the employment rate respectively to find out the key index which most directly influences the employment rate; and S3, according to the professional setting evaluation model, combining professional global data in a big data system to perform evaluation analysis, and outputting an evaluation report of a newly set professional.
Description
Technical Field
The invention relates to the technical field of big data, in particular to an evaluation method and system for a school new professional.
Background
In order to promote the newly-established profession to further define the construction idea, continuously perfect the teaching condition, strengthen the basic teaching construction, deepen the connotation, improve the talent culture quality and ensure the healthy development of the newly-established profession, the evaluation work of the newly-established profession of the school needs to be carried out, and then whether the relevant profession is newly established in the school or not is determined according to the professional evaluation result.
The existing process of professional evaluation work of new equipment is generally as follows:
(1) determining an evaluation object: evaluating the subjects, namely the specialities in the discipline professional catalog of the academies of a certain area;
(2) determining the evaluation content: including the items, elements, essential requirements, etc. evaluated;
(3) the evaluation work is carried out according to the procedures of professional self-evaluation of the assessment, data filling, self-evaluation report submission, material checking and public notice, expert evaluation, result approval and publication and the like.
The process is not only complicated in steps and long in time period, but also needs more personnel to participate and has large workload.
For the above reasons, it is highly desirable to design a method for automatically evaluating new professions in institutions.
Disclosure of Invention
In order to realize the purpose of automatically evaluating the newly-designed specialty of the colleges and universities, the invention provides the following technical scheme:
a method for evaluating a new school professional comprises the following steps:
s1, analyzing the distribution situation, employment situation and graduation situation of the specialty in the whole country range or province and city range according to the professional name by a clustering comparison correlation algorithm to know the culture status and social demand situation of the specialty at present;
s2, after a certain specialty is definitely established, matching the setting standards of the education department according to the professional name, and looking up the setting conditions of other colleges and universities in the range of the country or the provinces and cities of each setting standard, wherein the setting conditions comprise the dimensions of credit setting, course setting, teacher structure, graduation requirements, practice modes, teaching expenditure investment, evaluation models and biographical quality, and then analyzing the linear relation between the dimensions and the employment rate respectively to find out the key index which most directly influences the employment rate;
and S3, according to the professional setting evaluation model, combining professional global data in a big data system to perform evaluation analysis, and outputting an evaluation report of a newly set professional.
As a preferable scheme: the content of the assessment report includes:
(1) setting basic requirements for a professional;
(2) analyzing the competitiveness level set by the profession, and outputting the association relation between the competitiveness and various dimension indexes of the profession;
(3) and (5) setting a construction path and a decision suggestion of a new professional.
As a preferable scheme: the universe data is derived from professional certification data, education quality monitoring data and school professional basic data of nationwide colleges and universities.
Preferably, in step S2:
(a) firstly, training to find a regression coefficient with the best classification effect;
(b) and then using a set of regression coefficients obtained by training to calculate the input data and judge the category to which the input data belongs.
An assessment system for a school novice specialty, comprising:
the data clustering module is used for converging the subject professional data of the selected area from the data system and classifying the data;
the data analysis module is used for analyzing and calculating the supply and demand relationship of discipline specialties in the area according to the data of each dimension;
and the result evaluation module outputs an evaluation result according to the supply and demand relationship.
A computer storage medium having stored thereon an executable program which, when executed by a processor, performs the steps of the method for assessment of a school neologism.
Compared with the prior art, the invention has the advantages that: by using the method, the subject professional data in the selected area can be acquired, the data are clustered, and the supply and demand relationship of the related subject professionals in the area is calculated by using the data analysis of each dimension, so that the new professional of the colleges and universities can be automatically evaluated, and the evaluation work of the new professional becomes simple, fast, time-saving and labor-saving.
Drawings
FIG. 1 is a flow chart of the steps of an evaluation method.
Detailed Description
The first embodiment is as follows:
a method for evaluating a new school professional comprises the following steps:
s1, analyzing the distribution situation, employment situation and graduation situation of the specialty in the whole country range or province and city range according to the professional name by a clustering comparison correlation algorithm to know the culture status and social demand situation of the specialty at present;
s2, after a certain specialty is definitely established, matching the setting standards of the education department according to the professional name, and looking up the setting conditions of other colleges and universities in the range of the country or the provinces and cities of each setting standard, wherein the setting conditions comprise the dimensions of credit setting, course setting, teacher structure, graduation requirements, practice modes, teaching expenditure investment, evaluation models and biographical quality, and then analyzing the linear relation between the dimensions and the employment rate respectively to find out the key index which most directly influences the employment rate;
and S3, according to the professional setting evaluation model, combining professional global data in a big data system to perform evaluation analysis, and outputting an evaluation report of a newly set professional.
As a preferable scheme: the content of the assessment report includes:
(1) setting basic requirements for a professional;
professional setting basic requirements include: training targets, i.e. trainees master basic theoretical knowledge and basic skills; academic systems such as 3-year academic system or 4-year academic system; and professional backbone disciplines, core courses, and core abilities.
(2) Analyzing the competitiveness level set by the profession, and outputting the association relation between the competitiveness and various dimension indexes of the profession;
(3) and (5) setting a construction path and a decision suggestion of a new professional.
As a preferable scheme: the universe data is derived from professional certification data, education quality monitoring data and school professional basic data of nationwide colleges and universities.
Preferably, in step S2:
(a) firstly, training to find a regression coefficient with the best classification effect;
(b) and then using a set of regression coefficients obtained by training to calculate the input data and judge the category to which the input data belongs.
Example two:
an assessment system for a school novice specialty, comprising:
the data clustering module is used for converging the subject professional data of the selected area from the data system and classifying the data;
the data analysis module is used for analyzing and calculating the supply and demand relationship of discipline specialties in the area according to the data of each dimension;
and the result evaluation module outputs an evaluation result according to the supply and demand relationship.
Example three:
a computer storage medium having stored thereon an executable program which, when executed by a processor, performs the steps of the method for assessment of a school neologism.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (6)
1. A method for evaluating a new school professional is characterized by comprising the following steps:
s1, analyzing the distribution situation, employment situation and graduation situation of the specialty in the whole country range or province and city range according to the professional name by a clustering comparison correlation algorithm to know the culture status and social demand situation of the specialty at present;
s2, after a certain specialty is definitely established, matching the setting standards of the education department according to the professional name, and looking up the setting conditions of other colleges and universities in the range of the country or the provinces and cities of each setting standard, wherein the setting conditions comprise the dimensions of credit setting, course setting, teacher structure, graduation requirements, practice modes, teaching expenditure investment, evaluation models and biographical quality, and then analyzing the linear relation between the dimensions and the employment rate respectively to find out the key index which most directly influences the employment rate;
and S3, according to the professional setting evaluation model, combining professional global data in a big data system to perform evaluation analysis, and outputting an evaluation report of a newly set professional.
2. The method of claim 1, wherein the method comprises: the content of the assessment report includes:
(1) setting basic requirements for a professional;
(2) analyzing the competitiveness level set by the profession, and outputting the association relation between the competitiveness and various dimension indexes of the profession;
(3) and (5) setting a construction path and a decision suggestion of a new professional.
3. The method of claim 1, wherein the method comprises: the universe data is derived from professional certification data, education quality monitoring data and school professional basic data of nationwide colleges and universities.
4. The method for evaluating a school neologism professional according to claim 1, wherein in step S2:
(a) firstly, training to find a regression coefficient with the best classification effect;
(b) and then using a set of regression coefficients obtained by training to calculate the input data and judge the category to which the input data belongs.
5. An assessment system for a new school professional, comprising:
the data clustering module is used for converging the subject professional data of the selected area from the data system and classifying the data;
the data analysis module is used for analyzing and calculating the supply and demand relationship of discipline specialties in the area according to the data of each dimension;
and the result evaluation module outputs an evaluation result according to the supply and demand relationship.
6. A computer storage medium having stored thereon an executable program which, when executed by a processor, carries out the steps of the method of assessing a school neologism as claimed in any one of claims 1 to 4.
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| CN202011069575.0A CN112184039A (en) | 2020-09-30 | 2020-09-30 | Assessment method and system for new school major |
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| CN202011069575.0A CN112184039A (en) | 2020-09-30 | 2020-09-30 | Assessment method and system for new school major |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117078219A (en) * | 2023-10-13 | 2023-11-17 | 青岛酒店管理职业技术学院 | School information security management system and method based on Internet of things |
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| CN107203849A (en) * | 2017-05-26 | 2017-09-26 | 山东省科学院情报研究所 | Region talent supply quantitative analysis method based on big data |
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| CN109190895A (en) * | 2018-08-01 | 2019-01-11 | 上海电力学院 | A kind of new Engineering Undergraduate Students Comprehensive quality appraisal method |
| CN110163495A (en) * | 2019-05-08 | 2019-08-23 | 东南大学 | A kind of appraisal procedure of Multidimensional Comprehensive Development of University assessment indicator system |
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2020
- 2020-09-30 CN CN202011069575.0A patent/CN112184039A/en active Pending
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| CN103198379A (en) * | 2013-03-14 | 2013-07-10 | 安阳师范学院 | Digitized professional building assessment method |
| CN107203849A (en) * | 2017-05-26 | 2017-09-26 | 山东省科学院情报研究所 | Region talent supply quantitative analysis method based on big data |
| CN108596807A (en) * | 2018-05-29 | 2018-09-28 | 黑龙江省经济管理干部学院 | A kind of School of High Profession Technology OBE curriculum development tutoring systems |
| CN109190895A (en) * | 2018-08-01 | 2019-01-11 | 上海电力学院 | A kind of new Engineering Undergraduate Students Comprehensive quality appraisal method |
| CN110163495A (en) * | 2019-05-08 | 2019-08-23 | 东南大学 | A kind of appraisal procedure of Multidimensional Comprehensive Development of University assessment indicator system |
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Cited By (1)
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| CN117078219A (en) * | 2023-10-13 | 2023-11-17 | 青岛酒店管理职业技术学院 | School information security management system and method based on Internet of things |
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