CN107293172A - One kind is learnt by oneself with intelligent expert system, artificial intelligence lecture system and implementation method - Google Patents
One kind is learnt by oneself with intelligent expert system, artificial intelligence lecture system and implementation method Download PDFInfo
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- CN107293172A CN107293172A CN201710729909.4A CN201710729909A CN107293172A CN 107293172 A CN107293172 A CN 107293172A CN 201710729909 A CN201710729909 A CN 201710729909A CN 107293172 A CN107293172 A CN 107293172A
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- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 9
- 238000012216 screening Methods 0.000 claims abstract description 10
- 238000012790 confirmation Methods 0.000 claims abstract description 5
- 230000009191 jumping Effects 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 description 10
- 238000011161 development Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
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- 239000004744 fabric Substances 0.000 description 1
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Classifications
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
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- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
- G09B5/14—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
Abstract
The invention discloses a kind of self-study intelligent expert system, artificial intelligence lecture system and implementation method, belong to intelligent expert system, the technical problem to be solved in the present invention is during giving lessons, the query of user can not be answered timely and accurately, influence user study and quality of instruction, the technical scheme used for：A kind of self-study intelligent expert system, its structure includes user terminal, problem collection and sort module, problem matching module, issue database, internet hunt module, answer screening module, answer confirmation module, answer satisfaction acquisition module and answer database.The invention also discloses the implementation method of self-study expert system.One kind learns by oneself manually intelligent teaching system, its structure include user terminal, selecting module of giving lessons, module of giving lessons, interrupt module of giving lessons, the module that continues to give lessons, the information acquisition module and based on above-mentioned self-study intelligent expert system of giving lessons.The invention also discloses the implementation method for learning by oneself manually intelligent teaching system.
Description
Technical field
The present invention relates to intelligent expert system, specifically a kind of self-study is given lessons with intelligent expert system, artificial intelligence
System and implementation method.
Background technology
With the continuous development of scientific technology, a kind of emerging forms of education are also in the-long-distance education that quietly grows up.Remotely
Education is as the term suggests refer to the teaching pattern using communications medias such as TV and internets, and it breaches the boundary line of space-time, different
Need to sit on the teaching pattern of classroom toward schoolhouse in tradition, it is not necessary to attend class to locality, therefore can be on whenever and wherever possible
Class.
Long-distance education is mainly to take media mode to carry out system religion between students and teacher, student and Education Organization
The forms of education educated and write to each other, are the education that course is sent to one or more students outside campus.Remote modern is taught
Educate, refer to transmit course by audio, video and the computer technology including real-time and non real-time arrive school it is outer
Education.Modern distance education is a kind of new education mode produced with the development of modern information technologies.Computer technology,
The fast development of the development of multimedia technology, the communication technology, particularly internet, making the means of long-distance education has flying for matter
Jump, as the long-distance education under the conditions of new and high technology.Be in self-study, do not dally over one's work beneficial to everybody not only, and expense it is low, on
Class is convenient.At present, the conventional mode of giving lessons has the drawback that, user encounters problems to interrupt and given lessons, and solves query, and
Query can not obtain effective or comprehensive answer in time, influence the results of learning of user.
Patent No. CN105303918A patent document discloses a kind of CAI expert system, including people
Machine interface, inference machine, integrated database and specialized knowledge base, integrated database and specialized knowledge base pass through inference machine and people respectively
Machine interface is connected, and explanation module, man-machine interface and specialty are provided between man-machine interface and integrated database and specialized knowledge base
Knowledge acquisition module is provided between knowledge base, in telligent CAI system Research foundation, using pattern-recognition,
Expert system designs a model in F-rule reasoning and reasoning by cases method, proposition computer aided instruction system.But should
Technical scheme can not timely and effective comprehensive answer user the problem of, and complicated, operation inconvenience, cost is high.
Patent No. CN104680862A patent document discloses a kind of Distance Teaching System, including remote terminal access
End, back-stage management center and remote center's control end；Remote terminal incoming end is used to be linked into after system using network remote
Platform administrative center carries out Information Sharing and information is downloaded and browsed；Back-stage management center carry out include user login management module,
Information releasing and management module, authority management module and lesson data acquisition module；Information releasing and management module is used to send out in real time
The data message that cloth information inside is shared；Lesson data acquisition module includes online video data transmission and gathered and offline video
Data download collection；Authority management module is used for the information issued to user or the level privileges of download lesson data are recognized
Card management；Remote center's control end is used to enter the data communication and information interchange between the modules at back-stage management center
Row monitoring management.But the technical scheme is the problem of timely and effective comprehensively can not answer user, and complicated, operation is not
Just, cost is high.
The content of the invention
In order to solve the above technical problems, the technical assignment of the present invention be to provide a kind of self-study intelligent expert system, it is artificial
Intelligent teaching system and implementation method.
The technical assignment of the present invention realizes in the following manner, a kind of self-study intelligent expert system, including user terminal,
Problem is gathered and sort module, problem matching module, issue database, internet hunt module, answer screening module and answer
Confirm module, problem collection and sort module are used to gather the problem of user terminal is proposed, and problem is classified；Problem data
Storehouse is used to store the problem of user terminal is putd question to；The problem of problem matching module is used to classify problem collection and sort module is with asking
The problem of inscribing database carries out matching contrast, confirms whether there is the problem in issue database, and will not deposited in issue database
The problem of update in issue database；If there is the problem in issue database, found out in answer database
Corresponding answer, and answer is sent to answer confirmation module；Internet hunt module is used for non-existent in issue database
Problem utilizes web search answer automatically；The answer that answer screening module is used for internet hunt block search is sieved one by one
Choosing, and answer is sent to answer confirmation module, answer confirms that module is used to answer being sent to user terminal.
Preferably, also including answer satisfaction acquisition module and answer database, answer satisfaction acquisition module is used for
Satisfaction of the user to the answer of offer is gathered, and the high answer of satisfaction is updated in answer database；Answer
Database is used to store the high answer of user satisfaction.
Preferably, user terminal proposes problem by voice or word.
Preferably, user terminal uses flat board, mobile phone or computer terminal.
Preferably, internet hunt module uses wireless network.
A kind of implementation method of self-study intelligent expert system, it is characterised in that based on above-mentioned self-study intelligent expert
System, this method comprises the following steps：
（1）, intelligent expert system receive user request；
（2）, problem collection and sort module collection customer problem, decompose customer problem, by customer problem re, and will weight
The problem of new statement, submits to user；
（3）, user confirm problem statement it is whether accurate：
If 1., accurate, step is performed（5）；
If 2., inaccurate, step is performed（4）；
（4）, user propose problem again, next step jumps to step（2）；
（5）, problem matching module the problem of user is putd question to and in issue database the problem of compare, and confirm problem data
The problem of whether having same in storehouse；
If the problem of 1., having same, step is jumped to（11）；
If 2., without it is same the problem of, perform step（6）；
（6）, in answer database find same type problem answer, see whether that suitable answer can be found：
If 1., finding suitable answer, step is jumped to（8）；
If 2., not finding suitable answer, step is performed（7）；
（7）, the internet hunt module associated answer that passes through the internet hunt problem；
（8）, answer screening module is screened by obtained information and correlation is ranked up or given a mark；
（9）, to sorting, forward or high score information is combined；
（10）, answer confirm module multiple combinations are judged, select optimum answer；
（11）, answer confirm module the optimum answer selected is supplied to user；
（12）, answer satisfaction acquisition module collection user's whether being satisfied with to answer：
If 1., satisfied, step is performed（13）；
If 2., being unsatisfied with, step is jumped to（4）；
（13）, update answer database；
（14）, wait user instruction.
One kind learns by oneself manually intelligent teaching system, and the system includes user terminal, selecting module of giving lessons, module of giving lessons, beaten
Disconnected module of giving lessons, the module that continues to give lessons, the information acquisition module and based on above-mentioned self-study intelligent expert system of giving lessons, choosing of giving lessons
Selecting module is used for the content that user selects to give lessons, and module of giving lessons is used to give lessons to user, interrupts module of giving lessons and listened to the teacher for user
During when encountering problems, interrupt and give lessons, propose problem；The problem of intelligent expert system is used to answer user, there is provided satisfied
Answer；After continuing to give lessons module for customer problem solution, continue to give lessons；Information acquisition module of giving lessons is given lessons process for collection
The problem of number of times of middle User break and user propose.
Preferably, give lessons module and the module that continues to give lessons of interrupting is using voice or mouse completion operation.
Preferably, the user terminal uses flat board, mobile phone or computer terminal.
A kind of implementation method of artificial intelligence lecture system, based on above-mentioned self-study intelligent expert system, this method bag
Include following steps：
（1）, user start user terminal；
（2）, user by give lessons selecting module selection start position of giving lessons；
（3）, module of giving lessons computer courseware and voice start to give lessons；
（4）, give lessons during, interrupt module of giving lessons and judge whether user is interrupted by voice or mouse and give lessons：
1., if so, then performing step（5）；
2., if it is not, then jumping to step（6）；
（5）, intelligent expert system solve user the problem of；
（6）, user continues to give lessons by voice or the mouse module that notifies to continue to give lessons；
（7）, the module that continues to give lessons judge to give lessons whether terminate：
If 1., terminating, step is performed（8）；
If 2., being not over, step is jumped to（6）；
（8）, information acquisition module of giving lessons recorded in position and the exchanging of user and intelligent expert system of this stopping of giving lessons
Hold；
（9）, end of giving lessons.
Self-study intelligent expert system, artificial intelligence lecture system and the implementation method of the present invention has compared with prior art
Have the advantage that：The present invention disclosure satisfy that the demand of different user, provide the user more opportunitys to study, can solve at any time
The query of user is answered, interactive strong, in time, intelligence degree is high, contributes to the demand of personal professional knowledge, simultaneously for Information Sharing
Long-distance education can be realized, it is ensured that can learn whenever and wherever possible, breach the limitation of space-time, expand teaching scale, improve
Quality of instruction, reduces instruction cost, therefore the present invention has the spies such as reasonable in design, simple in construction, easy to use, one-object-many-purposes
Point, thus, have good value for applications.
Brief description of the drawings
The present invention is further described below in conjunction with the accompanying drawings.
Accompanying drawing 1 is self-study intelligent expert system structured flowchart；
Accompanying drawing 2 is the structured flowchart for learning by oneself manually intelligent teaching system；
Accompanying drawing 3 is the FB(flow block) of self-study intelligent expert system implementation method；
Accompanying drawing 4 is the FB(flow block) for learning by oneself manually intelligent teaching network system realization.
Embodiment
A kind of self-study with reference to Figure of description and specific embodiment to the present invention is awarded with intelligent expert system, artificial intelligence
Class system and implementation method are described in detail below.
Embodiment 1：
As shown in Figure 1, self-study intelligent expert system of the invention, its structure includes user terminal, problem collection and classification mould
Block, problem matching module, issue database, internet hunt module, answer screening module, answer confirm module, answer satisfaction
Acquisition module and answer database are spent, problem collection and sort module are used to gather the problem of user terminal is proposed, and problem is entered
Row classification；Issue database is used to store the problem of user terminal is putd question to；Problem matching module is used for the mould that gathers problem and classify
The problem of the problem of block sort is with issue database carries out matching contrast, confirms whether there is the problem in issue database, and will
Non-existent problem is updated in issue database in issue database；If there is the problem in issue database, from
Answer is extracted in answer database, and the answer that will eventually determine is sent to answer and confirms module；Internet hunt module is used for
Web search answer is utilized automatically to non-existent problem in issue database；Answer screening module is used for internet hunt mould
The answer of block search is screened one by one, and answer is sent into answer confirmation module, and answer confirms that module is used to send out answer
Give user terminal.Answer satisfaction acquisition module is used to gather satisfaction of the user to the answer of offer, and satisfaction is high
Answer update in answer database；Answer database is used to store the high answer of user satisfaction.User terminal passes through
Voice or word propose problem.User terminal uses flat board, mobile phone or computer terminal.Internet hunt module uses wireless network
Network.
Embodiment 2：
As shown in Figure 3, the implementation method of self-study intelligent expert system of the invention, the self-study intelligence based on embodiment 1
Expert system, this method comprises the following steps：
（1）, intelligent expert system receive user request；
（2）, problem collection and sort module collection customer problem, decompose customer problem, by customer problem re, and will weight
The problem of new statement, submits to user；
（3）, user confirm problem statement it is whether accurate：
If 1., accurate, step is performed（5）；
If 2., inaccurate, step is performed（4）；
（4）, user propose problem again, next step jumps to step（2）；
（5）, problem matching module the problem of user is putd question to and in issue database the problem of compare, and confirm problem data
The problem of whether having same in storehouse；
If the problem of 1., having same, step is jumped to（11）；
If 2., without it is same the problem of, perform step（6）；
（6）, in answer database find same type problem answer, see whether that suitable answer can be found：
If 1., finding suitable answer, step is jumped to（8）；
If 2., not finding suitable answer, step is performed（7）；
（7）, the internet hunt module associated answer that passes through the internet hunt problem；
（8）, answer screening module is screened by obtained information and correlation is ranked up or given a mark；
（9）, to sorting, forward or high score information is combined；
（10）, answer confirm module multiple combinations are judged, select optimum answer；
（11）, answer confirm module the optimum answer selected is supplied to user；
（12）, answer satisfaction acquisition module collection user's whether being satisfied with to answer：
If 1., satisfied, step is performed（13）；
If 2., being unsatisfied with, step is jumped to（4）；
（13）, update answer database；
（14）, wait user instruction.
Embodiment 3：
As shown in Figure 2, self-study of the invention manually intelligent teaching system, its structure include user terminal, selecting module of giving lessons,
Give lessons module, interrupt module of giving lessons, the module that continues to give lessons, give lessons information acquisition module and the self-study intelligence based on embodiment 1
Expert system, selecting module of giving lessons is used for the content that user selects to give lessons, and module of giving lessons is used to give lessons to user, interrupts mould of giving lessons
When block encounters problems during being listened to the teacher for user, interrupt and give lessons, propose problem；Intelligent expert system is used to answer asking for user
There is provided satisfied answer for topic；After continuing to give lessons module for customer problem solution, continue to give lessons；Information acquisition module of giving lessons is used
The problem of the number of times of User break and user propose during collection is given lessons.Interrupt the module and continuing of giving lessons module of giving lessons equal
Operation is completed using voice or mouse.User terminal uses flat board, mobile phone or computer terminal.
Embodiment 4：
As shown in Figure 4, the implementation method of artificial intelligence lecture system of the invention, the self-study based on embodiment 1 is special with intelligence
Family's system, this method comprises the following steps：
（1）, user start user terminal；
（2）, user by give lessons selecting module selection start position of giving lessons；
（3）, module of giving lessons computer courseware and voice start to give lessons；
（4）, give lessons during, interrupt module of giving lessons and judge whether user is interrupted by voice or mouse and give lessons：
1., if so, then performing step（5）；
2., if it is not, then jumping to step（6）；
（5）, intelligent expert system solve user the problem of；
（6）, user continues to give lessons by voice or the mouse module that notifies to continue to give lessons；
（7）, the module that continues to give lessons judge to give lessons whether terminate：
If 1., terminating, step is performed（8）；
If 2., being not over, step is jumped to（6）；
（8）, information acquisition module of giving lessons recorded in position and the exchanging of user and intelligent expert system of this stopping of giving lessons
Hold；
（9）, end of giving lessons.
By embodiment above, the those skilled in the art can readily realize the present invention.But should
Work as understanding, the present invention is not limited to 4 kinds of above-mentioned embodiments.On the basis of disclosed embodiment, the technology
The technical staff in field can be combined different technical characteristics, so as to realize different technical schemes.
It is the known technology of those skilled in the art in addition to the technical characteristic described in specification.
Claims (10)
1. a kind of self-study intelligent expert system, it is characterised in that including user terminal, problem collection and sort module, problem
Confirm module, problem collection and classification mould with module, issue database, internet hunt module, answer screening module and answer
Block is used to gather the problem of user terminal is proposed, and problem is classified；Issue database is used to store asking for user terminal enquirement
Topic；The problem of the problem of problem matching module is used to classify problem collection and sort module is with issue database progress is matched pair
Than confirming whether there is the problem in issue database, and non-existent problem in issue database is updated into problem number
According in storehouse；If there is the problem in issue database, corresponding answer is found out in answer database, and answer is sent to answered
Case confirms module；Internet hunt module is used to utilize web search answer automatically to non-existent problem in issue database；
The answer that answer screening module is used for internet hunt block search is screened one by one, and answer is sent into answer confirmation
Module, answer confirms that module is used to answer being sent to user terminal.
2. self-study intelligent expert system according to claim 1, it is characterised in that also gather mould including answer satisfaction
Block and answer database, answer satisfaction acquisition module are used to gather satisfaction of the user to the answer of offer, and will be satisfied
The high answer of degree is updated in answer database；Answer database is used to store the high answer of user satisfaction.
3. self-study intelligent expert system according to claim 1, it is characterised in that user terminal passes through voice or word
Proposition problem.
4. self-study intelligent expert system according to claim 1, it is characterised in that user terminal using flat board, mobile phone or
Computer terminal.
5. self-study intelligent expert system according to claim 1, it is characterised in that internet hunt module is using wireless
Network.
6. a kind of implementation method of self-study intelligent expert system, it is characterised in that based on any one in claim 1-5
Self-study intelligent expert system, this method comprises the following steps：
（1）, intelligent expert system receive user request；
（2）, problem collection and sort module collection customer problem, decompose customer problem, by customer problem re, and will weight
The problem of new statement, submits to user；
（3）, user confirm problem statement it is whether accurate：
If 1., accurate, step is performed（5）；
If 2., inaccurate, step is performed（4）；
（4）, user propose problem again, next step jumps to step（2）；
（5）, problem matching module the problem of user is putd question to and in issue database the problem of compare, and confirm problem data
The problem of whether having same in storehouse；
If the problem of 1., having same, step is jumped to（11）；
If 2., without it is same the problem of, perform step（6）；
（6）, in answer database find same type problem answer, see whether that suitable answer can be found：
If 1., finding suitable answer, step is jumped to（8）；
If 2., not finding suitable answer, step is performed（7）；
（7）, the internet hunt module associated answer that passes through the internet hunt problem；
（8）, answer screening module is screened by obtained information and correlation is ranked up or given a mark；
（9）, to sorting, forward or high score information is combined；
（10）, answer confirm module multiple combinations are judged, select optimum answer；
（11）, answer confirm module the optimum answer selected is supplied to user；
（12）, answer satisfaction acquisition module collection user's whether being satisfied with to answer：
If 1., satisfied, step is performed（13）；
If 2., being unsatisfied with, step is jumped to（4）；
（13）, update answer database；
（14）, wait user instruction.
7. one kind learns by oneself manually intelligent teaching system, it is characterised in that the system includes user terminal, selecting module of giving lessons, awarded
Class module, interrupt module of giving lessons, the module that continues to give lessons, the information acquisition module and based on any one in claim 1-5 of giving lessons
Self-study intelligent expert system, selecting module of giving lessons is used for user and selects the content given lessons, and module of giving lessons is used to award to user
Class, interrupts when being encountered problems during module of giving lessons is listened to the teacher for user, interrupts and give lessons, and proposes problem；Intelligent expert system is used
There is provided satisfied answer the problem of user is answered；After continuing to give lessons module for customer problem solution, continue to give lessons；Give lessons
Information acquisition module is used for the problem of number of times of User break and user propose during collection is given lessons.
8. self-study manually intelligent teaching system according to claim 7, it is characterised in that it is described interrupt give lessons module and
Continue to give lessons module using voice or mouse completion operation.
9. according to claim 7 learn by oneself manually intelligent teaching system, it is characterised in that described
User terminal uses flat board, mobile phone or computer terminal.
10. a kind of implementation method of artificial intelligence lecture system, it is characterised in that based on any one in claim 1-5
Self-study intelligent expert system, this method comprises the following steps：
（1）, user start user terminal；
（2）, user by give lessons selecting module selection start position of giving lessons；
（3）, module of giving lessons computer courseware and voice start to give lessons；
（4）, give lessons during, interrupt module of giving lessons and judge whether user is interrupted by voice or mouse and give lessons：
1., if so, then performing step（5）；
2., if it is not, then jumping to step（6）；
（5）, intelligent expert system solve user the problem of；
（6）, user continues to give lessons by voice or the mouse module that notifies to continue to give lessons；
（7）, the module that continues to give lessons judge to give lessons whether terminate：
If 1., terminating, step is performed（8）；
If 2., being not over, step is jumped to（6）；
（8）, information acquisition module of giving lessons recorded in position and the exchanging of user and intelligent expert system of this stopping of giving lessons
Hold；
（9）, end of giving lessons.
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| CN107729574A (en) * | 2017-11-24 | 2018-02-23 | 合肥博焱智能科技有限公司 | A kind of artificial intelligence student tutoring and mentoring system |
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| CN109191969A (en) * | 2018-10-25 | 2019-01-11 | 重庆鲁班机器人技术研究院有限公司 | Assist the method, system and device of family's teaching |
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