CN111816010A - Vocational education self-adaptive learning system based on artificial intelligence - Google Patents
Vocational education self-adaptive learning system based on artificial intelligence Download PDFInfo
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Abstract
The invention relates to an artificial intelligence-based vocational education self-adaptive learning system which comprises an online learning system and an online learning situation management system connected with the online learning system, wherein the online learning system comprises a subject knowledge point model, a teaching method combination model, an examination memory model and a login entry model. The online learning situation management system comprises a self-evaluation module, a learning record module, an examination assistant checking management module and an intelligent notification module, wherein the examination assistant checking management module establishes an inquiry system to help examinees to quickly inquire whether own examination reporting conditions are met or not according to various examination requirements, and the intelligent notification module directionally issues notifications such as examination reporting conditions, learning content updating, examination arrangement, industry hotspot information and the like of various disciplines and pushes the notifications to a specified medium. In the system, a learner can carry out systematized and targeted learning, self evaluation is carried out through the online learning situation management system after learning is finished, and the self learning situation is comprehensively known.
Description
Technical Field
The invention relates to the technical field of education systems, in particular to a professional education self-adaptive learning system based on artificial intelligence.
Background
Artificial Intelligence (Artificial Intelligence), abbreviated in english as AI. The method is a new technical science for researching and developing theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence, also known as intelligent machinery and machine intelligence, refers to the intelligence exhibited by machines manufactured by humans. Artificial intelligence generally refers to techniques for presenting human intelligence through ordinary computer programs.
Professional education refers to education in which an educated person is given professional knowledge, skills and professional morality required for a certain kind of professional or productive work. Vocational education includes vocational school education and vocational training, and at present because profession education has the knowledge of different subjects to hang down straightness height, the coverage is narrow, and professional master and materials are cultivateed difficultly, are difficult to the standardized management scheduling problem to different age groups student.
1. At present, the line learning technology is mainly applied in the fields of K12 and language training and is mostly the traditional technology of recorded broadcast and live broadcast in the aspect of professional education. Most disciplines of vocational education have extremely high verticality and relatively dispersed biogenesis, so that various vocational schools and social training institutions are relatively lack in resource allocation and financing, and are difficult to invest in a large amount of teaching and technical research and development.
2. The question bank system: the problem bank system of each organization in the industry is basically repeatedly provided with quality contents such as true problems, chapter practice and simulation examinations in the past year so as to take knowledge level of students and learning scenes thereof into consideration, and partial subject teaching materials are updated every year, so that after the number of the problem banks reaches a certain degree, the quality of test problems is difficult to guarantee, and a series of problems such as overdue knowledge, update lag and the like are inevitable.
3. Student management system: record every student's archives, the learning process (including logging in the log, study duration, simulation examination score, answer questions online, etc.), but hardly reflect student's mastery degree, and strengthen learning aiming at weak links.
4. Industry information content management system: most colleges and universities and training institutions mainly transfer the notification of the administrative units, the hotspot information and the internal notification in the portal website industry, but do not specifically notify students of matters to be known according to the specific conditions of the students, so that the students often cannot know about the policy documents and find the policy documents, the examination is missed, whether the examination meets the examination reporting conditions or not cannot be confirmed, and the official media lack of cognition, so that the students are easily drilled out by bad institutions and cheaters.
The above prior art solutions have the following drawbacks: in summary, in the prior art, the learning is usually performed in a live broadcast and recorded broadcast manner, and for a teaching party, repeated theoretical teaching needs to be performed for many times, which wastes teaching time and reduces the efficiency of knowledge output and transmission. For a learning party, systematic and targeted learning cannot be performed, and accurate self evaluation cannot be performed after the learning of a corresponding course is finished, so that the self-learning condition cannot be comprehensively known.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an artificial intelligence-based vocational education self-adaptive learning system, which can be used for realizing the extraction of the same knowledge points in different industries across subjects through a voice synthesis technology, an online learning technology and a full-fidelity simulation examination technology to build big data, realizing artificial intelligence teaching, artificial intelligence learning service and examination assistance service according to the underlying basic theory and homogeneous teaching content of different professional subjects of vocational education, greatly saving the time for repeating the theory teaching, solving the problem of difficult professional teacher and resource cultivation, improving the efficiency of knowledge output and transmission and ensuring that the workers can improve the learning efficiency in the business time.
The above object of the present invention is achieved by the following technical solutions:
an artificial intelligence-based vocational education self-adaptive learning system comprises an online learning system and an online learning condition management system connected with the online learning system, wherein the online learning system comprises a subject knowledge point model, a teaching method combination model, an examination memory model and a login entry model;
the login entry model generates entry pages of different projects and scenes through an api interface, and is used for realizing man-machine interaction among different subjects, a user acquires targeted learning content through the entry pages, the subject knowledge point model structures the content of the different subjects, carries out multi-dimensional speaking according to different knowledge points, and prints different labels for the learning modules in different scenes to call, the teaching method combination model combines different course types according to the knowledge maps of the different subjects and the learning modules, and the system establishes the examination memory model through theoretical examination, actual operation, industry specifications and cases;
the online examination situation management system comprises a self-evaluation module, a learning record module, an examination assistant checking management module and an intelligent notification module, wherein the examination assistant checking management module establishes an inquiry system to help examinees to quickly inquire whether own examination reporting conditions are met or not according to various examination requirements, the intelligent notification module directionally issues examination reporting conditions of various disciplines, updates learning contents, and pushes notifications of examination arrangement and industry hotspot information to a designated medium.
By the technical scheme, students in different levels can learn according to a mode most suitable for the students in the teaching method combined model, so that the learning time is greatly saved, the repeated investment of teaching resources is saved, and the efficiency of knowledge output and transmission is improved. The learner can carry out systematized and targeted learning, and the learner can carry out accurate self evaluation through the online learning situation management system after learning is finished, so that the learner can comprehensively know the self-learning situation. The system adopts the current mainstream artificial voice synthesis technology to solve the explanation of the universal knowledge points, construct professional teaching research and development and technical teams, perform labeling management on the knowledge points and compile knowledge maps on the basis of the existing teaching classes of each professional subject. An online learning situation management system is established, multidimensional and integrated big data in the aspects of learning behavior habits, school timeliness and the like are carried out, and intelligent birth and education fusion is completed through four stages of a function iteration score self-evaluation module, a learning record module, an examination assistant checking management module and an intelligent notification module. The efficiency of knowledge output and transmission is improved, and the method has a wide popularization value.
The present invention in a preferred example may be further configured to: in the subject knowledge point model, a teacher explains teaching contents according to multi-dimensional requirements when producing the teaching contents, labels are respectively marked according to different forms of recorded broadcast, live broadcast, question bank and lecture, a visual knowledge map is formed, and the learning requirements of different examinees in each subject are self-adapted through big data.
Through the technical scheme, the same or similar professional knowledge in different disciplines can form knowledge points by the arrangement, so that people can learn conveniently, and the learning efficiency is improved.
The present invention in a preferred example may be further configured to: the self-evaluation module comprises an intelligent evaluation unit, a simulation test unit and a chapter practice unit, wherein the intelligent evaluation unit tests the mastery degree of a student on the current learned specialty and the professional knowledge structure level, can be used for learning time and an actual learning scene, and provides a reasonable learning scheme according to an evaluation result;
the simulation examination unit self-adapts to the condition of the student and pushes simulation examination exercises according to the evaluation result of the student through big data analysis;
the chapter practice unit positions the teaching material positions where the knowledge points are located, memory is deepened, and the knowledge points are deeply understood.
By the technical scheme, the learner can be comprehensively evaluated, so that the evaluation result is more accurate, a corresponding solution is given after the evaluation is finished, the absorption of knowledge points is deepened through the chapter practice unit, and the learning achievement is remarkably improved.
The present invention in a preferred example may be further configured to: the evaluation result comprises professional knowledge, learning habits and learning scenes.
Through the technical scheme, the evaluation results of the students are displayed from the three angles, so that the accuracy of the evaluation results is ensured.
The present invention in a preferred example may be further configured to: the learning record module is used for recording the archives and the learning process records of each student, and the learning process records comprise learning duration, staged intelligent evaluation and test performance simulation.
Through above-mentioned technical scheme, the teaching management and the big data combination of traditional education of job are recorded to the study, realize intelligent chemistry situation management.
In summary, the invention includes at least one of the following beneficial technical effects:
1. the system adopts the current mainstream artificial voice synthesis technology to solve the explanation of the universal knowledge points, constructs professional teaching research and development and technical teams, carries out labeling management on the knowledge points and writes the knowledge map on the basis of the existing teaching classes of each professional subject. An online learning situation management system is established, multidimensional and integrated big data in the aspects of learning behavior habits, school timeliness and the like are carried out, and intelligent birth and education fusion is completed through four stages of a function iteration score self-evaluation module, a learning record module, an examination assistant checking management module and an intelligent notification module. The efficiency of knowledge output and transmission is improved, and the method has a wide popularization value.
2. The self-evaluation module can carry out all-round evaluation on learners, so that evaluation results are more accurate, corresponding solutions are provided after the evaluation is finished, the absorption of knowledge points is deepened through the chapter practice unit, and learning achievements are obviously improved.
Drawings
FIG. 1 is a block diagram of the present invention.
Reference numerals: 1. an online learning system; 11. a discipline knowledge point model; 12. a teaching method combination model; 13. an examination memory model; 14. logging in an entry model; 2. an online learning situation management system; 21. a self-evaluation module; 211. an intelligent evaluation unit; 212. a simulation test unit; 213. a chapter practice unit; 22. a learning recording module; 23. the examination assistant checks and checks the management module; 24. and an intelligent notification module.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Referring to fig. 1, the invention discloses an artificial intelligence-based vocational education adaptive learning system, which comprises an online learning system 1 and an online learning situation management system 2 connected with the online learning system 1, wherein the online learning system 1 comprises a subject knowledge point model 11, a teaching method combination model 12, an examination memory model 13 and a login entrance model 14.
The login portal model 14 generates portal pages of different projects and scenes through an api interface, and is used for realizing man-machine interaction among different subjects, a user acquires targeted learning contents through the portal pages, the subject knowledge point model 11 structures the contents of the different subjects, multi-dimensional speaking is carried out according to different knowledge points, different labels are marked for the learning modules in different scenes to call, the teaching method combination model 12 combines different course types according to the knowledge graphs of the different subjects and the learning modules aiming at different student groups, and the system establishes an examination memory model 13 through theoretical examination, actual operation, industry specifications and cases.
Referring to fig. 1, the online condition learning management system 2 includes a self-evaluation module 21, a learning record module 22, an examination assistant checking management module 23 and an intelligent notification module 24, wherein the examination assistant checking management module 23 establishes an inquiry system to help examinees quickly inquire whether their examination reporting conditions are met according to various examination requirements, and the intelligent notification module 24 directionally issues examination reporting conditions of various subjects, updates learning contents, and pushes notifications of examination arrangement and industry hotspot information to a designated medium.
In the subject knowledge point model 11, a teacher explains teaching contents according to multidimensional requirements when producing the teaching contents, labels are respectively marked according to different forms of recorded broadcast, live broadcast, question bank and lecture, a visual knowledge map is formed, and the learning requirements of different examinees in each subject are self-adapted through big data. The arrangement enables the same or similar professional knowledge in different disciplines to form knowledge points, thereby facilitating the study of people and improving the study efficiency.
Referring to fig. 1, the self-evaluation module 21 includes an intelligent evaluation unit 211, a simulation test unit 212, and a chapter practice unit 213, where the intelligent evaluation unit 211 tests the mastery degree of the current learned specialty and the professional knowledge structure level of the trainee, and may be used in the learning time and the actual learning scene, and provides a reasonable learning scheme according to the evaluation result. The simulation test unit 212 self-adapts to the condition of the student to push simulation test practice through big data analysis according to the evaluation result of the student. The chapter practice unit 213 locates the position of the teaching material where the knowledge points are located, enhances memory, and deeply understands the knowledge points. The self-evaluation module 21 can perform all-around evaluation on learners, so that evaluation results are more accurate, corresponding solutions are provided after the evaluation is finished, and the absorption of knowledge points is deepened through the chapter practice unit 213, so that learning achievements are remarkably improved.
Furthermore, the evaluation result comprises professional knowledge, learning habits and learning scenes, and the evaluation result of the student is displayed from the three angles, so that the accuracy of the evaluation result is ensured. The learning record module 22 is used for recording the files of each student and the learning process records, wherein the learning process records comprise the learning duration, the staged intelligent evaluation and the simulated examination scores. The learning record module 22 combines the teaching management of the traditional post education and big data to realize intelligent chemical situation management.
In order to make the specification disclosure more complete, the knowledge map and the birth education fusion are further explained. For the knowledge graph, the knowledge graph displays a series of different graphs of the knowledge development process and the structure relationship, describes knowledge resources and carriers thereof by using a visualization technology, and mines, analyzes, constructs, draws and displays knowledge and the mutual relation between the knowledge resources and the carriers. For the integration of birth and education, it means that professional schools actively develop professional industries according to the set professions, closely combine the industries and teaching, support and promote each other, and the schools are integrated into an industrial operation entity integrating talent culture, scientific research and scientific and technological services, so that a study mode of integrating schools and enterprises is formed.
The implementation principle of the embodiment is as follows: the teaching method combination model 12 in the system can lead students of different levels to study according to the most suitable mode, greatly saves study time, saves repeated investment of teaching resources, and improves the efficiency of knowledge output and transmission. The learner can carry out systematized and targeted learning, and the learner can carry out accurate self evaluation through the online learning situation management system 2 after learning is finished, so that the learner can learn the self-learning situation in an all-round way.
The system adopts the current mainstream artificial voice synthesis technology to solve the explanation of the universal knowledge points, construct professional teaching research and development and technical teams, perform labeling management on the knowledge points and compile knowledge maps on the basis of the existing teaching classes of each professional subject. An online learning situation management system 2 is established, multidimensional and integrated big data in the aspects of learning behavior habits, school timeliness and the like are carried out, and intelligent birth and education fusion is completed in four stages of a function iteration score self-evaluation module 21, a learning record module 22, an examination assistant checking management module 23 and an intelligent notification module 24. The efficiency of knowledge output and transmission is improved, and the method has a wide popularization value.
The embodiments of the present invention are preferred embodiments of the present invention, and the scope of the present invention is not limited by these embodiments, so: all equivalent changes made according to the structure, shape and principle of the invention are covered by the protection scope of the invention.
Claims (5)
1. The utility model provides a professional education self-adaptation learning system based on artificial intelligence which characterized in that: the online learning system comprises an online learning system (1) and an online learning situation management system (2) connected with the online learning system (1), wherein the online learning system (1) comprises a subject knowledge point model (11), a teaching method combination model (12), an examination memory model (13) and a login entry model (14);
the login entry model (14) generates entry pages of different projects and scenes through an api interface, and is used for realizing man-machine interaction among different subjects, a user acquires targeted learning content through the entry pages, the subject knowledge point model (11) structures the content of the different subjects, multi-dimensionally speaks according to different knowledge points, different labels are printed for the learning modules under different scenes to call, the teaching method combination model (12) combines different course types according to the knowledge maps of the different subjects and the learning modules and aiming at different student groups, and the system establishes the examination memory model (13) through theoretical examination, actual operation, industry specifications and cases;
the online learning condition management system (2) comprises a self-evaluation module (21), a learning recording module (22), an examination assistant checking management module (23) and an intelligent notification module (24), wherein the examination assistant checking management module (23) establishes an inquiry system to help examinees to quickly inquire whether the examination reporting conditions of the examinees accord with the examination requirements, the intelligent notification module (24) directionally issues the examination reporting conditions and the learning content updating of each subject, and the notification of examination arrangement and industry hotspot information is pushed to a designated medium.
2. The adaptive learning system for vocational education based on artificial intelligence of claim 1, wherein: in the subject knowledge point model (11), teachers explain teaching contents according to multi-dimensional requirements when producing the teaching contents, and respectively mark labels according to different forms of recorded broadcast, live broadcast, question bank and lecture, so as to form the visual knowledge map, and adapt to the learning requirements of different examinees of each subject through big data.
3. The adaptive learning system for vocational education based on artificial intelligence of claim 1, wherein: the self-evaluation module (21) comprises an intelligent evaluation unit (211), a simulated test unit (212) and a chapter practice unit (213), wherein the intelligent evaluation unit (211) tests the mastery degree of a student on the current learned specialty and the professional knowledge structure level, can be used for learning time and an actual learning scene, and provides a reasonable learning scheme according to an evaluation result;
the simulation examination unit (212) self-adapts to the condition of the student to push simulation examination exercises through big data analysis according to the evaluation result of the student;
the chapter practice unit (213) positions the teaching material positions where the knowledge points are located, and the memory is deepened to deeply understand the knowledge points.
4. The adaptive learning system for vocational education based on artificial intelligence of claim 3, wherein: the evaluation result comprises professional knowledge, learning habits and learning scenes.
5. The adaptive learning system for vocational education based on artificial intelligence of claim 1, wherein: the learning record module (22) is used for recording the archives and the learning process records of each student, and the learning process records comprise learning duration, staged intelligent evaluation and test performance simulation.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112269914A (en) * | 2020-10-29 | 2021-01-26 | 云南师范大学 | Online education course sharing and distributing platform based on artificial intelligence |
| CN112991847A (en) * | 2021-03-03 | 2021-06-18 | 深圳市一号互联科技有限公司 | Artificial intelligence drive-based omnibearing multifunctional intelligent programming teaching system |
| CN113470462A (en) * | 2021-07-29 | 2021-10-01 | 广东电网有限责任公司 | Skill improvement platform for operators of electric power system |
| CN113674114A (en) * | 2021-08-23 | 2021-11-19 | 北京中教智业信息技术研究院有限公司 | Evaluation system and method for professional literacy training |
| CN113902399A (en) * | 2021-09-25 | 2022-01-07 | 安徽梦森科技有限公司 | Intelligent control system for improving teaching quality through cooperation of school and enterprise |
| CN114063774A (en) * | 2021-11-01 | 2022-02-18 | 华中师范大学 | Online education man-machine interaction system and method based on artificial intelligence |
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Application publication date: 20201023 |