CN112418658A - High-and-mid-time integrated management method and system based on cloud computing technology - Google Patents
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Abstract
The invention discloses a method and a system for integrated management of high-post employment based on a cloud computing technology, wherein the method comprises the following steps of dynamic evaluation of middle-post students, analysis of middle-post skill level evaluation data and course customization of higher-post institutions: the higher vocational colleges customize learning courses according to the user figures of the middle-position students, so that the higher vocational colleges can conveniently and reasonably formulate courses according to the user figures of the middle-position students, and can conveniently and specifically arrange courses for the advantages and disadvantages of the students; dynamic evaluation and high-time skill level evaluation data analysis of high-time students: the colleges and universities analyze and process the assessment data of the skill level of the high-position students before graduation to obtain tags of the high-position students, and the user portraits of the high-position students are constructed through the tags of the high-position students.
Description
Technical Field
The invention belongs to the technical field of cloud computing, and particularly relates to a mid-high-time integrated management method and system based on a cloud computing technology.
Background
The evolution of data products to the cloud is promoted, the digital transformation is realized by a power-assisted school, support is provided for new digital transformation technologies such as big data and AI, and the deep application of the digital transformation in the school is realized. The traditional layering mode is relatively solidified for the layering of a student group, however, the growth process of students is not invariable, so after the layering result is generated, the students are limited by the current layering system, the high-position connection is very important for middle-position students, the high-position connection means that the middle-position and high-position vocational education is promoted to be coordinately developed according to the requirements of building a modern vocational education system, and the skill type, particularly the high-end skill type talents, which are required by the development of the economic society are systematically cultured. The middle vocational education is an important component of high school education, and the technical talents are cultured in a key way to play a basic role; higher vocational education is an important component of higher education, and high-end skill talents are mainly cultured to play a leading role. A modern vocational education system is constructed, the ability of supporting industrial development of vocational education is enhanced, scientific development of the vocational education is realized, the middle-high-position connection is a key, most colleges and universities integrating the middle-high-position education distribute courses uniformly to students in a certain specialty at present, reasonable course customization is not achieved by combining the skill learning conditions of all courses before the graduation of the middle-position students, and pointed course design is difficult to achieve.
Disclosure of Invention
The invention aims to: provides a method which can combine the skill learning condition of each course before the graduation of middle-position students to reasonably customize the course, conveniently realize the targeted course arrangement for the superiority and inferiority of the students,
the technical scheme adopted by the invention is as follows:
a mid-high-time integrated management method based on a cloud computing technology is characterized by comprising the following steps: the method comprises the following steps:
dynamic evaluation of middle-position students: the middle-position teachers periodically evaluate the skill levels of all courses of the middle-position students' specialty to form middle-position skill level evaluation data and store the middle-position skill level evaluation data;
analyzing the data of the skill level evaluation of the middle-aged workers: the middle-position colleges and universities analyze and process middle-position skill level evaluation data before the middle-position students are graduated to obtain middle-position student labels, and a user portrait of the middle-position students is constructed through the middle-position student labels;
and (3) course customization of the higher vocational colleges: customizing a learning course according to the user portrait of the student of the middle-position work in the higher-position colleges;
dynamic evaluation of the senior students: the technical skill level of each course of the specialty learned by the high-position students is periodically evaluated by the high-position teachers, and high-position technical skill level evaluation data is formed and stored;
analyzing data for evaluating the skill level of the professorship: the colleges and universities analyze and process the assessment data of the skill level of the high-position students before graduation to obtain tags of the high-position students, and the user portraits of the high-position students are constructed through the tags of the high-position students.
The further technical scheme is as follows: the middle-position student labels comprise courses with the highest average skill level and courses with the lowest average skill level of all the courses of the specialty learned by the middle-position students before graduation.
The further technical scheme is as follows: the high-position student labels include a course with the highest average skill level and a course with the lowest average skill level for each course of the specialty learned by the high-position student before graduation.
The further technical scheme is as follows: the user portrait of the middle-position student is that the middle-position student is classified as a middle-position student with consistent labels.
The further technical scheme is as follows: the user portrait of the high-position student is that the high-position student is classified as a high-position student with consistent labels.
A high-employment integrated management system based on a cloud computing technology is characterized in that: the system comprises a data acquisition server A, a storage module A, a cloud server A, a data acquisition server B, a storage module B, a cloud server B and a communication module;
the data acquisition server A is connected with the storage module A and is used for acquiring middle-position skill level evaluation data;
the storage module A is connected with the cloud server A and is used for storing the mid-term skill level evaluation data;
the cloud server A is used for acquiring the middle-position skill level evaluation data in the storage module A, processing the data to form middle-position student tags and constructing a user portrait of the middle-position student through the middle-position student tags;
the data acquisition server B is connected with the storage module B and is used for acquiring the evaluation data of the high-post skill level;
the storage module B is connected with the cloud server B and is used for storing the high-job skill level evaluation data;
the cloud server B is connected with the cloud server A through the communication module, the cloud server B is used for processing the data after acquiring the professional skill level evaluation data in the storage module B to form professional student tags and building professional student user figures through the professional student tags, and the cloud server B can acquire the professional student user figures in the cloud server A.
The further technical scheme is as follows: the storage module A is a hard disk.
The further technical scheme is as follows: the storage module B is a hard disk.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
in the invention, dynamic evaluation is carried out by middle-aged students: the middle-position teacher periodically evaluates the skill level of each course of the specialty learned by the middle-position students, forms and stores middle-position skill level evaluation data, and analyzes the middle-position skill level evaluation data: the secondary school student label is obtained by analyzing and processing secondary school skill level evaluation data before the secondary school student graduation, and secondary school student user portrait and course customization of the higher-vocational school are constructed through the secondary school student label: the higher vocational colleges customize learning courses according to the user figures of the middle-position students, so that the higher vocational colleges can conveniently and reasonably formulate courses according to the user figures of the middle-position students, and can conveniently and specifically arrange courses for the advantages and disadvantages of the students;
dynamic evaluation of the senior students: the technical skill level of each course of the specialty learned by the high-position students is periodically evaluated by the high-position teachers, and high-position technical skill level evaluation data is formed and stored; analyzing data for evaluating the skill level of the professorship: the colleges and universities analyze and process the assessment data of the skill level of the high-position students before graduation to obtain tags of the high-position students, and the user portraits of the high-position students are constructed through the tags of the high-position students.
Drawings
Fig. 1 is a flowchart of a mid-high-time integrated management method based on a cloud computing technology according to the present invention;
fig. 2 is a schematic structural diagram of a high-job integrated management system based on a cloud computing technology.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments.
As shown in fig. 1 and 2, a method for integrated management of high-employment based on cloud computing technology includes the following steps:
dynamic evaluation of middle-position students: the middle-position teachers periodically evaluate the skill levels of all courses of the middle-position students' specialty to form middle-position skill level evaluation data and store the middle-position skill level evaluation data;
analyzing the data of the skill level evaluation of the middle-aged workers: the middle-position colleges and universities analyze and process middle-position skill level evaluation data before the middle-position students are graduated to obtain middle-position student labels, and a user portrait of the middle-position students is constructed through the middle-position student labels;
and (3) course customization of the higher vocational colleges: customizing a learning course according to the user portrait of the student of the middle-position work in the higher-position colleges;
dynamic evaluation of the senior students: the technical skill level of each course of the specialty learned by the high-position students is periodically evaluated by the high-position teachers, and high-position technical skill level evaluation data is formed and stored;
analyzing data for evaluating the skill level of the professorship: the colleges and universities analyze and process the assessment data of the skill level of the high-position students before graduation to obtain tags of the high-position students, and the user portraits of the high-position students are constructed through the tags of the high-position students.
The middle-position student labels comprise course labels with the highest average skill level and course labels with the lowest average skill level of all courses of the specialty learned by the middle-position student before graduation.
The user portrait of the middle-position student is composed of a course label with the highest average skill level and a course label with the lowest average skill level of all courses of the specialty learned by the middle-position student before graduation.
The high-position student labels include a course label with the highest average skill level and a course label with the lowest average skill level of each course of the specialty learned by the high-position student before graduation.
The user portrait of the high-position student is composed of a course label with the highest average skill level and a course label with the lowest average skill level of all courses of the specialty of the high-position student before graduation.
In the invention, dynamic evaluation is carried out by middle-aged students: the middle-position teacher periodically evaluates the skill level of each course of the specialty learned by the middle-position students, forms and stores middle-position skill level evaluation data, and analyzes the middle-position skill level evaluation data: the secondary school student label is obtained by analyzing and processing secondary school skill level evaluation data before the secondary school student graduation, and secondary school student user portrait and course customization of the higher-vocational school are constructed through the secondary school student label: the higher vocational colleges customize learning courses according to the user figures of the middle-position students, so that the higher vocational colleges can conveniently and reasonably formulate courses according to the user figures of the middle-position students, and can conveniently and specifically arrange courses for the advantages and disadvantages of the students;
dynamic evaluation of the senior students: the technical skill level of each course of the specialty learned by the high-position students is periodically evaluated by the high-position teachers, and high-position technical skill level evaluation data is formed and stored; analyzing data for evaluating the skill level of the professorship: the colleges and universities analyze and process the assessment data of the skill level of the high-position students before graduation to obtain tags of the high-position students, and the user portraits of the high-position students are constructed through the tags of the high-position students.
The integrated management system based on the cloud computing technology, which applies the integrated management method based on the cloud computing technology, comprises a data acquisition server A, a storage module A, a cloud server A, a data acquisition server B, a storage module B, a cloud server B and a communication module;
the data acquisition server A is connected with the storage module A and is used for acquiring middle-position skill level evaluation data;
the storage module A is connected with the cloud server A and is used for storing the mid-term skill level evaluation data;
the cloud server A is used for acquiring the middle-position skill level evaluation data in the storage module A, processing the data to form middle-position student tags and constructing a user portrait of the middle-position student through the middle-position student tags;
the data acquisition server B is connected with the storage module B and is used for acquiring the evaluation data of the high-post skill level;
the storage module B is connected with the cloud server B and is used for storing the high-job skill level evaluation data;
the cloud server B is connected with the cloud server A through the communication module, the cloud server B is used for processing the data after acquiring the professional skill level evaluation data in the storage module B to form professional student tags and building professional student user figures through the professional student tags, and the cloud server B can acquire the professional student user figures in the cloud server A.
The storage module A is a hard disk.
The storage module B is a hard disk.
The fox-searching communication module is a WI FI module or a GSM module.
Data acquisition server A can connect display, keyboard and mouse, and the middle-position teacher can carry out periodic evaluation to the skill level of each course of the specialty that the middle-position student learned to form middle-position skill level evaluation data and store, and data acquisition server B connects display, keyboard and mouse equally, and the senior position teacher can carry out periodic evaluation to the skill level of each course of the specialty that the senior position student learned, forms the senior position skill level evaluation data and store.
The cloud server B can obtain images of the student users of the middle-position employment in the cloud server A, and courses can be conveniently and reasonably customized by the colleges and universities of the higher-position employment according to the images of the student users of the middle-position employment. The cloud server B is used for acquiring the high-position skill level evaluation data in the storage module B, processing the data to form high-position student tags and constructing high-position student user portraits through the high-position student tags, and enterprises can acquire the high-position student user portraits in the cloud server B so as to find talents meeting the recruitment requirements conveniently.
The foregoing is only a preferred embodiment of the invention.
Claims (8)
1. A mid-high-time integrated management method based on a cloud computing technology is characterized by comprising the following steps: the method comprises the following steps:
dynamic evaluation of middle-position students: the middle-position teachers periodically evaluate the skill levels of all courses of the middle-position students' specialty to form middle-position skill level evaluation data and store the middle-position skill level evaluation data;
analyzing the data of the skill level evaluation of the middle-aged workers: the middle-position colleges and universities analyze and process middle-position skill level evaluation data before the middle-position students are graduated to obtain middle-position student labels, and a user portrait of the middle-position students is constructed through the middle-position student labels;
and (3) course customization of the higher vocational colleges: customizing a learning course according to the user portrait of the student of the middle-position work in the higher-position colleges;
dynamic evaluation of the senior students: the technical skill level of each course of the specialty learned by the high-position students is periodically evaluated by the high-position teachers, and high-position technical skill level evaluation data is formed and stored;
analyzing data for evaluating the skill level of the professorship: the colleges and universities analyze and process the assessment data of the skill level of the high-position students before graduation to obtain tags of the high-position students, and the user portraits of the high-position students are constructed through the tags of the high-position students.
2. The integrated management method for high-post based on cloud computing technology according to claim 1, characterized in that: the middle-position student labels comprise course labels with the highest average skill level and course labels with the lowest average skill level of all courses of the specialty learned by the middle-position student before graduation.
3. The integrated management method for high-post based on cloud computing technology according to claim 2, characterized in that: the user portrait of the middle-position student is composed of a course label with the highest average skill level and a course label with the lowest average skill level of all courses of the specialty learned by the middle-position student before graduation.
4. The integrated management method for high-post based on cloud computing technology according to claim 1, characterized in that: the high-position student labels include a course label with the highest average skill level and a course label with the lowest average skill level of each course of the specialty learned by the high-position student before graduation.
5. The integrated management method for high-post based on cloud computing technology according to claim 4, characterized in that: the user portrait of the high-position student is composed of a course label with the highest average skill level and a course label with the lowest average skill level of all courses of the specialty of the high-position student before graduation.
6. A high-employment integrated management system based on a cloud computing technology is characterized in that: the system comprises a data acquisition server A, a storage module A, a cloud server A, a data acquisition server B, a storage module B, a cloud server B and a communication module;
the data acquisition server A is connected with the storage module A and is used for acquiring middle-position skill level evaluation data;
the storage module A is connected with the cloud server A and is used for storing the mid-term skill level evaluation data;
the cloud server A is used for acquiring the middle-position skill level evaluation data in the storage module A, processing the data to form middle-position student tags and constructing a user portrait of the middle-position student through the middle-position student tags;
the data acquisition server B is connected with the storage module B and is used for acquiring the evaluation data of the high-post skill level;
the storage module B is connected with the cloud server B and is used for storing the high-job skill level evaluation data;
the cloud server B is connected with the cloud server A through the communication module, the cloud server B is used for processing the data after acquiring the professional skill level evaluation data in the storage module B to form professional student tags and building professional student user figures through the professional student tags, and the cloud server B can acquire the professional student user figures in the cloud server A.
7. The system according to claim 4, wherein the management system comprises: the storage module A is a hard disk.
8. The system according to claim 4, wherein the management system comprises: the storage module B is a hard disk.
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