CN109841122A - A kind of intelligent robot tutoring system and student's learning method - Google Patents
A kind of intelligent robot tutoring system and student's learning method Download PDFInfo
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Abstract
The invention discloses a kind of intelligent robot tutoring system and student's learning method, robot teaching's system includes student's data bank, student's topic library, speech emotional interaction library, speech language identification module, emotion discrimination module and voice and at module；The present invention perceives by advanced face recognition technology, observes, identifying the movement of the mankind, expression, solves similar educational robot not and can be carried out human action's identification and Expression analysis；By speech recognition technology advanced in the world, combined data algorithm and to the research experience of language expression, robot is allow to complete accurate voice positioning, accurate understanding human language feature and expression way；The analysis and setting that different people personality is completed on artificial intelligence robot realize man-machine individual character interaction true to nature.
Description
Technical field
The present invention relates to intelligent tutoring technical field more particularly to a kind of intelligent robot tutoring systems and student to learn
Method.
Background technique
Juvenile education product, such as: Story machine is unidirectional push audio, video information to viewer.And it puts and reads
Machine, learning machine slightly make progress, and talking pen, touch-control can be used to interact.But this is far from being enough.They all do not have
Method carries out linguistic human-computer interaction communication with child.
In education sector, artificial intelligence is combined with traditional education be future education important proposition.Education is artificial
The main mission of intelligence is to assist teacher to teach knowledge, and can be carried out deep learning, assists teacher to teach whenever and wherever possible and knows
Know.In teaching process, the state of each learner is grasped in real time, and changes instructional strategies according to the actual situation, and guidance is learned
Habit person is learnt with better state.Collect learner related data simultaneously, for data give teacher provide teaching
Feedback, for this purpose, the present invention proposes a kind of intelligent robot tutoring system and student's learning method.
Summary of the invention
The purpose of the present invention is to solve the problems of the prior art, and a kind of intelligent robot proposed imparts knowledge to students and is
System and student's learning method.
To achieve the goals above, present invention employs following technical solutions:
A kind of intelligent robot tutoring system, robot teaching's system include student's data bank, student's topic library,
Speech emotional interacts library, speech language identification module, emotion discrimination module and voice and at module；
Student's data bank: record student information such as name, age, each module school grade and corresponding emotion；
Student's topic library: the corresponding topic library of each stage Self -adaptive of student is mentioned for student's learning test
High corresponding achievement；
The speech emotional interacts library: the emotion by observing student, makes corresponding Robotics Sound or expression processing
Allow student's LEARNING SHOULD BE FUN；
The speech language identification module: identifying corresponding voice, obtains correct voice messaging, carries out to speech signal
Analysis, judges pronunciation standard；
The emotion discrimination module: distinguish that corresponding movement response is made in the variation of student's emotion；
The voice and at module: artificial voice is generated by technology, study of teaching students.
A kind of student's learning method of intelligent robot tutoring system, described specific step is as follows:
(1), robot system is logged in, corresponding course is selected, system can obtain student information from student's data bank, adjust
Take corresponding exam pool；
(2), when student enters tone testing, robot system can be distinguished by the expression and the tone of student by emotion
Other module obtains students' emotions, makes emotion interaction；
(3), achievement and emotion and other information upload server are updated student database again, is analyzed by data, it is raw
At corresponding exam pool；
(4), the exam pool can be recalled when student carries out the lesson test again to test.
Preferably, the step (1) if in open robot after machine into dormant state, we can by voice,
It touches and switch button activates robot function, will appear robot homepage after activation, can be opened by striking screen or sound
Corresponding function.
Preferably, it after logging in robot system in the step (1), can be obtained by the special card of two-dimensional code scanning
The specific teaching material on server is taken, or by teaching material upload server, is then turned on AR identification function scanning card and obtains on server
Teaching material.
Preferably, the examination question of step (2) middle school student's tone testing has a plurality of types of exam pools, and student can be certainly
Row selection.
Preferably, when the step (1)-(4) system operating: robot device acquires multi-modal input data simultaneously first
Parsing determines whether the language learning demand for having for child user；Language is opened when there are language learning demand
Using, carry out the multi-modal output of the interactive interface based on game, this it is multi-modal output include for language content voice it is defeated
Out；Then speech response and the parsing of child user are acquired；Judge child user speech response whether with the language that has exported
It says content matching, is finally generated according to match condition and export multi-modal interaction data.
It preferably, include the hard of language learner when the interaction of intelligent robot language teaching in step (1)-(4)
Part, the software interface of intelligent language teaching machine device people, children for learning language cognitive psychological all directly influence interactive process
Quality；
The information input that children receive mainly passes through what sense organ channel was realized, and the main finger vision in sense organ channel is listened
Feel, tactile, smell, the sense of taste carry out permutation and combination to these digital informations by computer；
The instruction output of people can be segmented again by the tactile of people, sound and behavior, the language output of childrenese study
At reading aloud and speaking, behavior output can be subdivided into reading, spell out the words and other behaviors.
Compared with prior art, the present invention provides a kind of intelligent robot tutoring system and student's learning method, have
Below the utility model has the advantages that
(1), by the perception of advanced face recognition technology, observation, the movement of the identification mankind, expression, similar education is solved
Robot not can be carried out human action's identification and Expression analysis.
(2), by speech recognition technology advanced in the world, combined data algorithm and to language expression research experience,
Robot is set to complete accurate voice positioning, accurate understanding human language feature and expression way.
(3), the analysis and setting that different people personality is completed on artificial intelligence robot realize true to nature man-machine
Individual character interaction.
It is not directed to part in the invention to be the same as those in the prior art or can be realized by using the prior art, knot of the present invention
Structure is simple, easy to operate.
Detailed description of the invention
Fig. 1 is a kind of intelligent robot tutoring system structure chart proposed by the present invention；
Fig. 2 is a kind of intelligent robot tutoring system interactive mode system architecture proposed by the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.
Embodiment 1
As shown in Figs. 1-2, a kind of intelligent robot tutoring system and student's learning method, a kind of intelligent robot teaching
System, robot teaching's system include student's data bank, student's topic library, speech emotional interaction library, speech language identification
Module, emotion discrimination module and voice and at module；
Student's data bank: record student information such as name, age, each module school grade and corresponding emotion；
Student's topic library: the corresponding topic library of each stage Self -adaptive of student is mentioned for student's learning test
High corresponding achievement；
The speech emotional interacts library: the emotion by observing student, makes corresponding Robotics Sound or expression processing
Allow student's LEARNING SHOULD BE FUN；
The speech language identification module: identifying corresponding voice, obtains correct voice messaging, carries out to speech signal
Analysis, judges pronunciation standard；
The emotion discrimination module: distinguish that corresponding movement response is made in the variation of student's emotion；
The voice and at module: artificial voice is generated by technology, study of teaching students.
A kind of student's learning method of intelligent robot tutoring system, described specific step is as follows:
(1), robot system is logged in, corresponding course is selected, system can obtain student information from student's data bank, adjust
Take corresponding exam pool；
(2), when student enters tone testing, robot system can be distinguished by the expression and the tone of student by emotion
Other module obtains students' emotions, makes emotion interaction；
(3), achievement and emotion and other information upload server are updated student database again, is analyzed by data, it is raw
At corresponding exam pool；
(4), the exam pool can be recalled when student carries out the lesson test again to test.
The step (1) if in open robot after machine into dormant state, we can by voice, touch and
Switch button activates robot function, will appear robot homepage after activation, can open corresponding function by striking screen or sound
Energy.
After logging in robot system in the step (1), server can be obtained by the special card of two-dimensional code scanning
On specific teaching material be then turned on AR identification function scanning card and obtain teaching material on server or by teaching material upload server.
The examination question of step (2) middle school student's tone testing has a plurality of types of exam pools, and student can voluntarily select.
When the step (1)-(4) system operating: robot device acquires multi-modal input data first and parses, really
With the presence or absence of the language learning demand for child user before settled；Language application is opened when there are language learning demand, into
The multi-modal output of interactive interface of the row based on game, the multi-modal output include the voice output for language content；Then
Acquire the speech response of child user and parsing；Judge child user speech response whether with the language content that has exported
Match, finally generated according to match condition and exports multi-modal interaction data.
It include hardware, the intelligence of language learner when the interaction of intelligent robot language teaching in step (1)-(4)
The software interface of language teaching machine people, the cognitive psychological of children for learning language all directly influence the quality of interactive process；
The information input that children receive mainly passes through what sense organ channel was realized, and the main finger vision in sense organ channel is listened
Feel, tactile, smell, the sense of taste carry out permutation and combination to these digital informations by computer；
The instruction output of people can be segmented again by the tactile of people, sound and behavior, the language output of childrenese study
At reading aloud and speaking, behavior output can be subdivided into reading, spell out the words and other behaviors.
It should be noted that a kind of intelligent robot tutoring system disclosed by the invention and student's learning method, are based on AI
Artificial intelligence can not only identify that the sound of people and people carry out speech exchange, to the learning data intelligent management of student, identification
To the pronunciation of learner, the language that learner says is prejudged, and to learner's cacoepy, word not to, the sentence said
Imperfect or existing syntax error is accurately corrected.It can be carried out deep learning, and teacher is assisted to teach whenever and wherever possible
Knowledge.
In addition, it can also grasp the state of each learner in real time in teaching process, change according to the actual situation
Instructional strategies, study-leading person are learnt with better state.Collect learner related data simultaneously, for data
Teaching feedback is provided to teacher.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited to
This, anyone skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention
And its inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (7)
1. a kind of intelligent robot tutoring system, which is characterized in that robot teaching's system includes student's data bank, student
Topic library, speech emotional interact library, speech language identification module, emotion discrimination module and voice and at modules；
Student's data bank: record student information such as name, age, each module school grade and corresponding emotion；
Student's topic library: it is improved corresponding for student's learning test in topic library corresponding to each stage Self -adaptive of student
Achievement；
The speech emotional interacts library: the emotion by observing student, makes corresponding Robotics Sound or expression processing allows
Raw LEARNING SHOULD BE FUN；
The speech language identification module: identifying corresponding voice, obtains correct voice messaging, analyzes speech signal,
Pronunciation standard is judged；
The emotion discrimination module: distinguish that corresponding movement response is made in the variation of student's emotion；
The voice and at module: artificial voice is generated by technology, study of teaching students.
2. a kind of student's learning method of intelligent robot tutoring system according to claim 1, which is characterized in that described
Specific step is as follows:
(1), robot system is logged in, corresponding course is selected, system can obtain student information from student's data bank, transfer corresponding
Exam pool；
(2), when student enters tone testing, robot system can distinguish mould by emotion by the expression and the tone of student
Block obtains students' emotions, makes emotion interaction；
(3), achievement and emotion and other information upload server are updated student database again, is analyzed by data, generation pair
The exam pool answered；
(4), the exam pool can be recalled when student carries out the lesson test again to test.
3. a kind of student's learning method of intelligent robot tutoring system according to claim 2, which is characterized in that described
Step (1) is if into dormant state, we can pass through voice, touch and switch button and activate machine machine after middle unlatching robot
Device people's function, will appear robot homepage after activation, can open corresponding function by striking screen or sound.
4. a kind of student's learning method of intelligent robot tutoring system according to claim 2, which is characterized in that described
After logging in robot system in step (1), the specific teaching material on server can be obtained by the special card of two-dimensional code scanning,
Or by teaching material upload server, the teaching material being then turned on AR identification function scanning card acquisition server.
5. a kind of student's learning method of intelligent robot tutoring system according to claim 2, which is characterized in that described
The examination question of step (2) middle school student's tone testing has a plurality of types of exam pools, and student can voluntarily select.
6. a kind of student's learning method of intelligent robot tutoring system according to claim 2, which is characterized in that described
When step (1)-(4) system operating: robot device acquires multi-modal input data first and parses, and determines whether exist
For the language learning demand of child user；Language application is opened when there are language learning demand, carries out the friendship based on game
The multi-modal output at mutual interface, the multi-modal output include the voice output for language content；Then child user is acquired
Speech response simultaneously parses；Judge whether the speech response of child user matches with the language content exported, finally according to matching
Situation generates and exports multi-modal interaction data.
7. a kind of student's learning method of intelligent robot tutoring system according to claim 2, which is characterized in that described
It include hardware, the intelligent language teaching machine device of language learner when the interaction of intelligent robot language teaching in step (1)-(4)
The software interface of people, the cognitive psychological of children for learning language all directly influence the quality of interactive process；
The information input that children receive mainly passes through what sense organ channel was realized, the main finger vision in sense organ channel, the sense of hearing, touching
Feel, smell, the sense of taste carry out permutation and combination to these digital informations by computer；
The instruction output of people can be subdivided into bright again by the tactile of people, sound and behavior, the language output of childrenese study
It reads and speaks, behavior output can be subdivided into reading, spell out the words and other behaviors.
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Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110176163A (en) * | 2019-06-13 | 2019-08-27 | 天津塔米智能科技有限公司 | A kind of tutoring system |
| CN110286835A (en) * | 2019-06-21 | 2019-09-27 | 济南大学 | A kind of interactive intelligent container understanding function with intention |
| CN110444087A (en) * | 2019-07-26 | 2019-11-12 | 深圳市讯呼信息技术有限公司 | A kind of intelligent language teaching machine device people |
| CN110718119A (en) * | 2019-09-26 | 2020-01-21 | 北京光年无限科技有限公司 | Educational ability support method and system based on wearable intelligent equipment special for children |
| CN110809096A (en) * | 2019-09-23 | 2020-02-18 | 江西中昌建筑规划设计院有限公司 | Internet-based engineering technology consultation method |
| CN110874960A (en) * | 2019-10-28 | 2020-03-10 | 北京光年无限科技有限公司 | Man-machine interaction method and device for children education |
| CN111161723A (en) * | 2019-12-12 | 2020-05-15 | 广州奥睿智能科技有限公司 | Multimodal large-screen interaction method and device based on voice recognition |
| CN111243367A (en) * | 2020-03-24 | 2020-06-05 | 天津塔米智能科技有限公司 | Robot teaching system |
| CN111402640A (en) * | 2020-03-04 | 2020-07-10 | 香港生产力促进局 | Children education robot and learning material pushing method thereof |
| CN111428006A (en) * | 2020-04-27 | 2020-07-17 | 齐鲁工业大学 | Auxiliary teaching system and method based on NAO robot |
| CN111673764A (en) * | 2020-06-18 | 2020-09-18 | 广州智法装饰材料有限公司 | Intelligent voice interaction robot with ultraviolet disinfection function |
| CN112634684A (en) * | 2020-12-11 | 2021-04-09 | 深圳市木愚科技有限公司 | Intelligent teaching method and device |
| CN112990094A (en) * | 2021-04-12 | 2021-06-18 | 广州宏途教育网络科技有限公司 | Data processing system based on children education |
| CN113160629A (en) * | 2021-05-06 | 2021-07-23 | 吉林工程技术师范学院 | Man-machine cooperation learning education robot with emotion recognition function |
| CN113344215A (en) * | 2021-06-01 | 2021-09-03 | 山东大学 | Extensible cognitive development method and system supporting new mode online learning |
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| CN110286835A (en) * | 2019-06-21 | 2019-09-27 | 济南大学 | A kind of interactive intelligent container understanding function with intention |
| CN110444087A (en) * | 2019-07-26 | 2019-11-12 | 深圳市讯呼信息技术有限公司 | A kind of intelligent language teaching machine device people |
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| CN110718119A (en) * | 2019-09-26 | 2020-01-21 | 北京光年无限科技有限公司 | Educational ability support method and system based on wearable intelligent equipment special for children |
| CN110874960A (en) * | 2019-10-28 | 2020-03-10 | 北京光年无限科技有限公司 | Man-machine interaction method and device for children education |
| CN111161723A (en) * | 2019-12-12 | 2020-05-15 | 广州奥睿智能科技有限公司 | Multimodal large-screen interaction method and device based on voice recognition |
| CN111402640A (en) * | 2020-03-04 | 2020-07-10 | 香港生产力促进局 | Children education robot and learning material pushing method thereof |
| CN111243367A (en) * | 2020-03-24 | 2020-06-05 | 天津塔米智能科技有限公司 | Robot teaching system |
| CN111428006A (en) * | 2020-04-27 | 2020-07-17 | 齐鲁工业大学 | Auxiliary teaching system and method based on NAO robot |
| CN111673764A (en) * | 2020-06-18 | 2020-09-18 | 广州智法装饰材料有限公司 | Intelligent voice interaction robot with ultraviolet disinfection function |
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| CN112990094A (en) * | 2021-04-12 | 2021-06-18 | 广州宏途教育网络科技有限公司 | Data processing system based on children education |
| CN113160629A (en) * | 2021-05-06 | 2021-07-23 | 吉林工程技术师范学院 | Man-machine cooperation learning education robot with emotion recognition function |
| CN113344215A (en) * | 2021-06-01 | 2021-09-03 | 山东大学 | Extensible cognitive development method and system supporting new mode online learning |
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