CN114612070A - Intelligent management talent training integrated lifting system - Google Patents
Intelligent management talent training integrated lifting system Download PDFInfo
- Publication number
- CN114612070A CN114612070A CN202210255057.0A CN202210255057A CN114612070A CN 114612070 A CN114612070 A CN 114612070A CN 202210255057 A CN202210255057 A CN 202210255057A CN 114612070 A CN114612070 A CN 114612070A
- Authority
- CN
- China
- Prior art keywords
- database
- knowledge
- cognitive
- case database
- contents
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012549 training Methods 0.000 title claims description 8
- 238000012360 testing method Methods 0.000 claims abstract description 57
- 230000001149 cognitive effect Effects 0.000 claims abstract description 45
- 238000011156 evaluation Methods 0.000 claims abstract description 32
- 238000000034 method Methods 0.000 claims description 5
- 238000000605 extraction Methods 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 230000019771 cognition Effects 0.000 description 3
- 210000005079 cognition system Anatomy 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- Marketing (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Data Mining & Analysis (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Computational Linguistics (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an intelligent management talent culture integrated lifting system, which comprises the following steps of: firstly, establishing a knowledge database, a cognitive case database and a capability evaluation case database, wherein the three databases are mutually associated; the server distributes corresponding learning tasks in the knowledge database, the cognitive case database and the capability evaluation case database to the users according to the specified user types; after the learning task is completed, the server calls the contents of the corresponding knowledge database, the cognitive case database and the capability evaluation case database to the user for testing according to the completed task of the user; the invention can respectively and independently manage and release different learning tasks for different types of management professional users, and is suitable for different types of management talents. The system automatically selects the part which does not reach the standard in the test, and enters the next task allocation learning so as to avoid repeatedly learning the mastered content.
Description
Technical Field
The invention relates to the technical field of a management talent culture system, in particular to an intelligent management talent culture integrated lifting system.
Background
Management includes knowledge systems, cognitive systems, and competency systems. The knowledge system can form a cognitive case through extraction, grafting and transformation. The ability system is based on a knowledge system and a cognition system, and the ability system can form a specific ability evaluation case through the combination of the knowledge system and the cognition system.
At present, the management talents are cultured in a teaching mode, the culture time is long, and an integrated management talent culture system formed based on a database does not exist, so that the management talents can learn core contents quickly and promote quickly.
Disclosure of Invention
The invention aims to provide an intelligent management talent training integrated lifting system to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme:
an intelligent management talent training integrated lifting system is established and used and comprises the following steps:
the method comprises the following steps: the manager updates the knowledge system in the knowledge system advanced module periodically, wherein the knowledge system comprises a knowledge database formed by basic knowledge and professional knowledge;
step two: the manager performs splitting extraction, grafting and conversion to form a cognitive case database according to basic knowledge and professional knowledge in the knowledge system database, and the cognitive system advanced module comprises a cognitive case database;
step three: the capacity system advanced module comprises a capacity evaluation case database formed on the basis of a knowledge database and a cognitive case database;
step four: the server distributes corresponding learning tasks in the knowledge database, the cognitive case database and the capability evaluation case database to the users according to the specified user types;
step five: after the learning task is completed, the server respectively calls the contents of the knowledge database, the cognitive case database and the capability evaluation case database to different types of users for testing according to the completed learning task;
step six: after the test is finished, aiming at the test content of the capability evaluation case database obtained in the fifth step, if the test content does not reach the standard, the server distributes the content of the knowledge database corresponding to the test content to enter the next learning task;
step seven: testing contents in the cognitive case database are called according to the fifth step, and if the testing contents do not reach the standard, the server distributes the contents of the knowledge database corresponding to the testing contents to enter a next learning task;
step eight: and (5) aiming at the test contents in the knowledge database called in the fifth step, if the test contents do not reach the standard, the server distributes the contents of the knowledge database corresponding to the test contents to enter the next learning task.
Further options of the invention: and during the next test, calling the test content according to the last learning task content and a knowledge database, a cognitive case database and a capability evaluation case database which are formed by the learned untested content.
Further options of the invention: and fifthly, the knowledge database and the cognitive case database based on the testing content of the calling capability evaluation case database are not crossed with the testing content of the calling knowledge database and the cognitive case database, and the knowledge database based on the testing content of the calling cognitive case database is not crossed with the testing content of the calling knowledge database.
Compared with the prior art, the invention has the following beneficial effects: firstly, establishing a knowledge database, a cognitive case database and a capability evaluation case database, wherein the three databases are mutually associated; the server distributes corresponding learning tasks in the knowledge database, the cognitive case database and the capability evaluation case database to the users according to the specified user types; after the learning task is completed, the server calls the contents of the corresponding knowledge database, the cognitive case database and the capability evaluation case database to the user for testing according to the completed task of the user; the invention can respectively and independently manage and release different learning tasks for different types of management professional users, and is suitable for different types of management talents. The system automatically selects the part which does not reach the standard in the test, and enters the next task allocation learning so as to avoid repeatedly learning the mastered content.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a technical scheme that: an intelligent management talent training integrated lifting system is established and used and comprises the following steps:
the method comprises the following steps: the manager regularly updates the knowledge system in the knowledge system advanced module, wherein the knowledge system comprises a knowledge database formed by basic knowledge and professional knowledge;
step two: the manager performs splitting extraction, grafting and conversion to form a cognitive case database according to basic knowledge and professional knowledge in the knowledge system database, and the cognitive system advanced module comprises a cognitive case database;
step three: the capacity system advanced module comprises a capacity evaluation case database formed on the basis of a knowledge database and a cognitive case database;
step four: the server distributes corresponding learning tasks in the knowledge database, the cognitive case database and the capability evaluation case database to the users according to the specified user types;
step five: after the learning task is completed, the server respectively calls the contents of the knowledge database, the cognitive case database and the capability evaluation case database to different types of users for testing according to the completed learning task;
step six: after the test is finished, aiming at the test content of the capability evaluation case database obtained in the fifth step, if the test content does not reach the standard, the server distributes the content of the knowledge database corresponding to the test content to enter the next learning task;
step seven: testing contents in the cognitive case database are called according to the fifth step, and if the testing contents do not reach the standard, the server distributes the contents of the knowledge database corresponding to the testing contents to enter a next learning task;
step eight: and (5) aiming at the test contents in the knowledge database called in the fifth step, if the test contents do not reach the standard, the server distributes the contents of the knowledge database corresponding to the test contents to enter the next learning task.
The method comprises a first step, a second step and a third step, and is used for establishing a knowledge database, a cognitive case database and a capability evaluation case database, wherein the three databases are mutually related. In the fourth step, the server distributes corresponding learning tasks in the knowledge database, the cognitive case database and the capability evaluation case database to the users according to the specified user types; and if the type of the user is students in the logistics management specialty, corresponding tasks in the knowledge database, the cognitive case database and the capability evaluation case database are distributed to the students to be completed. And step five, after the learning task is completed, the server calls the contents of the corresponding knowledge database, the cognitive case database and the capability evaluation case database to the user for testing according to the completed task of the user. The invention relates to the same knowledge, cognition and ability evaluation data and different knowledge, cognition and ability evaluation data because of different management professional types, and can respectively manage and release learning tasks independently by adopting the database, avoid the oversize database arrangement and adapt to the use of different types or different professional managers. And step six, step seven and step eight, the method is used for automatically selecting the part which does not reach the standard in the test and entering the next task allocation learning so as to avoid repeatedly learning the mastered content.
An improvement of the invention: and during the next test, calling the test content according to the last learning task content and a knowledge database, a cognitive case database and a capability evaluation case database formed by the learned untested content so as to avoid retesting the mastered content.
An improvement of the invention: and fifthly, the knowledge database and the cognitive case database based on the testing content of the calling capability evaluation case database are not crossed with the testing content of the calling knowledge database and the cognitive case database, and the knowledge database based on the testing content of the calling cognitive case database is not crossed with the testing content of the calling knowledge database. The contents of the knowledge database, the cognition case database and the ability evaluation case database are extracted (called) to be tested in a non-crossed mode, so that the user can be tested more comprehensively, and the next learning task is arranged more effectively, so that the purpose of learning the knowledge which is not mastered again is achieved.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (3)
1. The intelligent management talent training integrated lifting system is characterized by comprising the following steps of:
the method comprises the following steps: the manager regularly updates the knowledge system in the knowledge system advanced module, wherein the knowledge system comprises a knowledge database formed by basic knowledge and professional knowledge;
step two: the manager performs splitting extraction, grafting and conversion to form a cognitive case database according to basic knowledge and professional knowledge in the knowledge system database, and the cognitive system advanced module comprises a cognitive case database;
step three: the capacity system advanced module comprises a capacity evaluation case database formed on the basis of a knowledge database and a cognitive case database;
step four: the server distributes corresponding learning tasks in the knowledge database, the cognitive case database and the capability evaluation case database to the users according to the specified user types;
step five: after the learning task is completed, the server respectively calls the contents of the knowledge database, the cognitive case database and the capability evaluation case database to different types of users for testing according to the completed learning task;
step six: after the test is finished, aiming at the test content of the capability evaluation case database obtained in the fifth step, if the test content does not reach the standard, the server distributes the content of the knowledge database corresponding to the test content to enter the next learning task;
step seven: testing contents in the cognitive case database are called according to the fifth step, and if the testing contents do not reach the standard, the server distributes the contents of the knowledge database corresponding to the testing contents to enter a next learning task;
step eight: and (5) aiming at the test contents in the knowledge database called in the fifth step, if the test contents do not reach the standard, the server distributes the contents of the knowledge database corresponding to the test contents to enter the next learning task.
2. The intelligent management talent training integrated lift system according to claim 1, wherein the establishing and using comprises the steps of: and during the next test, calling the test content according to the last learning task content and a knowledge database, a cognitive case database and a capability evaluation case database which are formed by the learned untested content.
3. The intelligent management talent training integrated improvement system according to claim 1, wherein the knowledge database and the cognitive case database based on which the test content of the capability evaluation case database is called in the fifth step are not crossed with the test content of the knowledge database and the cognitive case database, and the knowledge database based on which the test content of the cognitive case database is called is not crossed with the test content of the knowledge database.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210255057.0A CN114612070B (en) | 2022-03-15 | 2022-03-15 | Intelligent management talent culture integrated lifting system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210255057.0A CN114612070B (en) | 2022-03-15 | 2022-03-15 | Intelligent management talent culture integrated lifting system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114612070A true CN114612070A (en) | 2022-06-10 |
| CN114612070B CN114612070B (en) | 2024-05-28 |
Family
ID=81863788
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210255057.0A Active CN114612070B (en) | 2022-03-15 | 2022-03-15 | Intelligent management talent culture integrated lifting system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114612070B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101847329A (en) * | 2010-05-13 | 2010-09-29 | 苏州卫生职业技术学院 | Medical talent training system |
| 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 |
| CN108961888A (en) * | 2018-07-25 | 2018-12-07 | 吉林铁道职业技术学院 | A kind of personalized reconstruct knowledge hierarchy learning system and method |
| US20190139153A1 (en) * | 2017-11-06 | 2019-05-09 | Alan William Howe Grant | Method and system for analysing, improving, and monitoring the co-prosperity of networks |
-
2022
- 2022-03-15 CN CN202210255057.0A patent/CN114612070B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101847329A (en) * | 2010-05-13 | 2010-09-29 | 苏州卫生职业技术学院 | Medical talent training system |
| US20190139153A1 (en) * | 2017-11-06 | 2019-05-09 | Alan William Howe Grant | Method and system for analysing, improving, and monitoring the co-prosperity of networks |
| 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 |
| CN108961888A (en) * | 2018-07-25 | 2018-12-07 | 吉林铁道职业技术学院 | A kind of personalized reconstruct knowledge hierarchy learning system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114612070B (en) | 2024-05-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110992227A (en) | School-enterprise vocational talent culture system and method | |
| CN101465069A (en) | Learning support system and learning evaluation method | |
| CN109147442A (en) | Sync instruction system based on student classroom answer situation | |
| CN106297458A (en) | A kind of intelligent multimedia instruction management platform | |
| CN107437344A (en) | A kind of multimedia teaching interactive information platform | |
| CN114693277A (en) | Online teaching training system based on process engine | |
| CN114612070A (en) | Intelligent management talent training integrated lifting system | |
| CN111383144A (en) | Intelligent multimedia teaching system and intelligent multimedia teaching method | |
| CN113240252B (en) | Nuclear power engineering quality evaluation data processing method, device, equipment and storage medium | |
| Wenjing | Modeling method and application of college comprehensive teaching mode based on artificial intelligence | |
| CN109559261A (en) | A kind of dynamic Course Arrangement | |
| CN104363287A (en) | Teaching practical training method based on CTI scene design | |
| CN109033414A (en) | A kind of implementation method for the remote control experimental facilities that virtual reality combines | |
| Arimoto | International implications of the changing academic profession in Japan | |
| CN114372699A (en) | Employee management method and device, electronic equipment and storage medium | |
| CN107292144A (en) | The field value-acquiring method of role's property field in list | |
| Burris et al. | Educational control in the United States | |
| CN111383143A (en) | Network multimedia-based method for interaction of on-line teaching and homework of middle school students | |
| CN112907411A (en) | Method and system for recommending learning path according to mastery degree in intelligent classroom | |
| CN111383492A (en) | Multimedia teaching and operation interaction platform for middle school students | |
| CN111241456A (en) | Learning resource allocation method and system | |
| Shin et al. | A Study on the standardization model of entrepreneurship support using ICT convergence | |
| CN214376599U (en) | Education information management system | |
| CN106548673A (en) | A kind of Teaching Management Method based on intelligent Matching | |
| Xie | Research on the Practical Teaching Platform of Marketing Course in Local Universities Based on the Cultivation of Innovation and Entrepreneurship Ability |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |