A kind of online education man-machine interaction method and system based on artificial intelligenceTechnical field
The invention belongs to Communications And Computer technical fields, specifically, being related to a kind of online religion based on artificial intelligenceEducate man-machine interaction method and system.
Background technique
Online education, that is, E-Learning refers to that carrying out content by application message science and technology and Internet technology propagates and fastThe method of speed study has really broken the limitation in time and space by network, and student can be at any time and any placeOnly learnt with a computer or a mobile phone.In the case where China's high-quality educational resources distribute serious uneven overall background,Line education plays the role of replenishers and expansion device in traditional education, and the educatee of different regions is made to obtain identical education moneySource becomes possibility.The popularity and timeliness propagated online reduce the time cost and material cost for the side of receiving an education, and receive instructionThe person of educating can be with the spare time to acquire an education compared to the less economic costs of homogeneity traditional education resource are obtained.Therefore,There are a large amount of market demands for the development of online education.
But current online education client do not have it is any mandatory, also be not present any supervision mechanism, educatee canTo start or terminate service at any time, for the user for lacking self-control and self-drive power, not can guarantee to adhere to for a long timeStudy is gone down, and education has stronger interactive and power of enforcement under traditional line, can guarantee the learning effect of user, and study is certainlyThe not strong student of power processed normally tends to educate under selection line, and online education is caused to lose large quantities of users.
Through retrieving, online education mostly uses the interactivity increased between student and teacher or student or provides individual character at presentChange customization course service, to enhance user to the stickiness of platform, guarantees the long duration of study.Such as Chinese Patent Application No.Are as follows: 201410270931.3, publication date are as follows: the patent document on January 6th, 2016 discloses course in a kind of online educationRecommended method and device, wherein the recommended method of course includes: the capacity data that server obtains user；The server according toThe capacity data of the user selects course according to the corresponding relationship of preset ability and course for the user；The serviceThe course that device sends as user selection.By the invention, the personalized service for user is realized.
For another example, Chinese Patent Application No. are as follows: 201310567606.9, publication date are as follows: on 2 26th, 2014 patent textsOffer, disclose a kind of online education questioning method, be applied to on-line education system, which includes server, and with the clothesThe lecturer end of business device connection and several student sides, above-mentioned questioning method include: that student side submits a question to server；Server willProblem is sent to other student sides and lecturer end is shown；Other student sides or lecturer end submit the answer of described problem to clothesBusiness device；The answer is sent to student side and lecturer end by server.The invention also makes so that the interactivity in classroom greatly enhancesThe problem of obtaining student can timely be answered.
Although foregoing invention improves the interest of student to a certain extent, user's stickiness is still not strong enough, when facing itWhen he interferes or lures, still on-line study can may be abandoned in the presence of very big, it can not also be supervised in student's learning processIt superintends and directs, it is difficult to remind student conscientiously to listen to the teacher in time, it is even more impossible to the self-disciplinings to student to evaluate, it is likely that cause resource and fundWaste.
Summary of the invention
1. to solve the problems, such as
For existing on-line education system for the student for lacking self-control and self-drive power, it can not accomplish to superviseIt reminds, it is difficult to which the problem of promoting student to adhere to that study is gone down for a long time, online education resource and fund is caused to waste, the present invention providesA kind of online education man-machine interaction method and system based on artificial intelligence, the present invention can personalize by providing studentCourse, and certain supervision, reward and punishment is carried out to the study of student, it is multi-faceted that student is supervised to learn, enhance userViscosity improves the utilization rate of online education resource, avoids the waste of resource and education funds.
2. technical solution
To solve the above-mentioned problems, the technical solution adopted in the present invention is as follows:
A kind of online education man-machine interactive system based on artificial intelligence, including teacher side, cloud storage, Xue Yuanduan,It practises assessment device and personalized customization device, the student end is provided with computer and seat, is connected with wheat on the computerGram wind and camera are provided with pressure sensor on the seat, and the pressure sensor is for monitoring student to seatThe situation of change of pressure, the learning evaluation apparatus are used to assess the self-disciplining and school grade of student, and for awardingWith the execution of punitive measures, the personalized customization device is for customizing learned lesson and selection on-line study teammate.
Preferably, on the Chair back use film-type contact sensor, the film-type contact sensor byMultiple sensing units of the single-row setting from top to bottom on the chair back form, the spacing between neighboring sensor unit lower three/One section is 5~8mm, interlude is 10~12mm, upper one third section is 15~20mm, is provided with body on the chair surfacePress distribution tests sensor.
Preferably, the learning evaluation apparatus includes self-disciplining evaluation module, achievement assessment module, information processing mouldBlock, Ontario Scholar's recommending module and rewards and punishments module, the self-disciplining evaluation module and achievement assessment module are and information processingModule connection, Ontario Scholar's recommending module and rewards and punishments module are used for the information that execution information processing module is analyzed, describedSelf-disciplining evaluation module on microphone, camera and seat the collected student's learning state information of sensor and student existLine study archive information is analyzed.
Preferably, student's status information includes the acoustic information of microphone acquisition, the image of camera (7) acquisitionInformation, the pressure information that the seat of pressure sensor acquisition is subject to；
The information of the self-disciplining evaluation module comprehensive collection makes evaluation to student's self-disciplining, according to acoustic information pointWhether analysis student talks, and self-disciplining score button 1 of talking every time divides, and is analyzed according to image information using computer Emotion identification technologyThe mood of student, mood be respectively it is irritated, neutral and happy, occur irritated mood self-disciplining score button 2 every time and divide, according to pressureThe action state of information analysis student, film-type contact sensor is every 5 minutes output on-off signal 6~10 times average, and student is certainlyRule property score button 5 divides, and exports on-off signal 10~20 times, and student's self-disciplining score button 10 divides, and input on-off signal 20 times or more,Student's self-disciplining score button 30 divides, and changes 10~20 times within pressure distribution average every 5 minutes on seat, student's self-disciplining score button 5Point, change 20~40 times, student's self-disciplining score button 10 divides, and variation 40 times or more, student's self-disciplining score button 30 divides；
The on-line study archive information includes study frequency, learning time, course completeness, practice completeness and surveyTry completeness.
Preferably, the evaluation item of the achievement assessment module includes practice achievement, test result, other student's problemsAnswer accuracy and interacted with teacher teacher to scoring.
Preferably, Ontario Scholar's recommending module recommends self-disciplining and achievement assessment point to student in student loginThe higher student of number.
Preferably, the rewards and punishments module gives the reward of student and includes red packet, praises barrage and medal, and punishment includes stepping onRecord limitation, system exit limitation, taboo number and notify good friend.
It preferably, further include a buzzer；The buzzer is connect with computer；The pressure sensor setting existsOn the chair back of seat, it is disposed with first pressure sensor, second pressure sensor, third pressure sensor from top to bottom,The first pressure sensor is apart from seat 8-10cm, and the described 15-20cm of second pressure sensor distance seat is describedThird pressure sensor is apart from 25-28cm of seat, if the change rate of first pressure sensor pressure is α1, second pressure sensorPressure be N2, the pressure of third pressure sensor is N3, within certain period (t0 → tn), certain section of period (tn-T0)≤2s, while when meeting the following conditions, buzzer issues prompt tone:
1. the α1Increase first, then reduce, finally tend to 0, described tends to 0 finger | α1|≤0.05N/s, i.e.,The variable quantity of one pressure sensor pressure per second is less than 0.05N；
2. the N2 first increases, then reduces, be finally restored to t0When pressure size near, it is described near refer to |N2tn–N2t0|≤10%*N2t0, the N2t0For the pressure of t0 moment second pressure sensor, the N2tnFor the tn momentThe pressure of second pressure sensor；
3. the N3 is gradually reduced, finally tend to N3tn≤ 15%*N3t0, the N3t0For t0 moment third pressure biographyThe pressure of sensor, the N3tnFor the pressure of tn moment third pressure sensor.
Preferably, personalized customization device includes official custom's school timetable module, liberalization customization school timetable module and teammate's choosingModule is selected, official custom's school timetable module is used to provide the school timetable that system has been deposited to student, and liberalization customizes school timetable moduleFor automatically generating school timetable according to student's demand, teammate's selecting module selects on-line study teammate for student；
Teammate's selecting module includes that orientation good friend selects component and system recommendation good friend to select component, orients good friendSelection component forms a team to log in study together for student and specific student, and system recommendation good friend selects component to select from system for studentThe self-disciplining assessment higher student of score is selected to go with study；
The liberalization customization school timetable module includes label assembly, data structure component and school timetable formation component, instituteThe label assembly and data structure component stated are connect with school timetable formation component, and label assembly is for providing for student's selectionSeries of labels, the label include occupation, educational background, personality, age, learning demand information, data structure component deposits cloudLearning materials in reservoir, which are classified and are converted to fine granularity, to be examined, and the letter selected for school timetable formation component is formedBreath.
A kind of online education man-machine interaction method based on artificial intelligence, comprising the following steps:
S1. material upload: teacher uploads to the learning materials in relation to course in cloud storage；
S2. online registration: course of the student according to customization, corresponding course of registering, and pay corresponding expense；
S3. student logs in: selection, which is gone with, when student logs in learns teammate, supervises mutually and whether completes course learning, opensSensor on microphone, camera and seat；
S4. study and data acquisition: student carries out course learning, the self-disciplining and school grade of system acquisition student onlineAssess data；
S5: learning evaluation: self-disciplining and of the study situation of system comprehensive student 3 times or more study numbers to studentAchievement data is practised to assess student；
S6: award or punishment: system awards self-disciplining and the school grade assessment higher student of score, to scoreJunior punishes.
3. beneficial effect
Compared with the prior art, the invention has the benefit that
(1) the present invention is based on the online education man-machine interactive systems of artificial intelligence to provide student's class that can personalizeJourney, and certain supervision, reward and punishment are carried out to the study of student, particularly by camera, microphone and have pressureThe learning state of the seat acquisition student of sensor, carries out evaluation for the self-disciplining of student, and timely feedback, is different from existingMerely school grade evaluation, realize it is multi-faceted supervise student to learn, Comprehensive evaluate student, be conducive to enhancing useFamily viscosity, improves the utilization rate of online education resource, avoids the waste of resource and education funds；
(2) the present invention is based on the online education man-machine interactive systems of artificial intelligence to be directed in student's learning process, half-heartedWhen paying attention to the class, it may appear that little trick is frequent, and the case where not stopping random rolling, twisting on chair, pressure sensor pair is arranged on the seatThe learning state of student is monitored, and pressure distribution is not only arranged on seat and tests sensor to monitor seat for the seatFilm-type contact sensor is arranged also on the chair back, is close to the vertebra when chair back backward in particular according to people for the pressure change being subject toState change, the sensor unit density on the chair back are sequentially increased from top to bottom, when avoiding student's shaking motion amplitude smaller withoutMethod detects, makes to detect more accurate, and the information of comprehensive microphone and camera acquisition can accurately monitor the study shape of studentState more precisely judges that student is that quiet study or little trick are frequently absent minded；
(3) the present invention is based on the assessments of the online education man-machine interactive system self-disciplining of artificial intelligence and achievement assessment to pass throughMultinomial information synthesis evaluates student, and data are accurate, and confidence level is higher, in addition, this system is according to assessment result to studentCarry out red packet, praise the reward such as barrage and medal, or make login limitation, system exits limitation, prohibit number and notifies good friend etc. punishesIt penalizes, reward meets modern main trend, and punishment can play the role of warning and pressure, and rewards and punishments, which are gone forward side by side, increases user's stickiness, especiallyThis system is using the form for forming a team to learn, or forms a team together with specific student, or form a team to learn according to system recommendation, supervises mutuallyIt superintends and directs, inertia when avoiding individually learning；
(4) the present invention is based on the online education man-machine interactive systems of artificial intelligence is received by label assembly diversification abundantCollect information of trainee, keeps course customization more targeted, really realize the personalized customization of course；
(5) the present invention is based on of short duration can also occur when the online education man-machine interactive system of artificial intelligence runs mind for studentThree pressure sensors are arranged to chair for physical condition variation characteristic at this time in the special circumstances of emptying state on the chair backIt carries on the back the pressure being subject to be detected, when meeting preset condition, buzzer issues prompt tone, reminds student, makes studentIt can pull out and from emptying state in time, conscientiously listen to the teacher；
(6) the present invention is based on the online education man-machine interaction methods of artificial intelligence using simply, not will increase student and existsLine learning burden.
Detailed description of the invention
Fig. 1 is that the present invention is based on the structural schematic diagrams of the online education man-machine interactive system of artificial intelligence；
Fig. 2 is the structural schematic diagram of learning evaluation apparatus of the present invention；
Fig. 3 is the structural schematic diagram that liberalization of the present invention customizes school timetable module.
In figure: 1, teacher side；2, cloud storage；3, Xue Yuanduan；4, learning evaluation apparatus；41, self-disciplining evaluation module；42, achievement assessment module；43, message processing module；44, Ontario Scholar's recommending module；45, rewards and punishments module；5, personalized customizationDevice；51, official custom's school timetable module；52, liberalization customizes school timetable module；521, label assembly；522, data structure groupPart；523, school timetable formation component；53, teammate's selecting module；531, orientation good friend selects component；532, system recommendation good friend selectsComponent；6, microphone；7, camera；8, seat.
Specific embodiment
The present invention is further described below combined with specific embodiments below.
Embodiment 1
As shown in Figure 1, a kind of online education man-machine interactive system based on artificial intelligence, including teacher side 1, cloud storage2, student end 3, learning evaluation apparatus 4 and personalized customization device 5, the student end 3 is provided with computer and seat 8, describedComputer on be connected with microphone 6 and camera 7, pressure sensor, the pressure sensor are provided on the seat 8For monitoring student to the situation of change of 8 pressure of seat, the learning evaluation apparatus 4 is used to assess the self-disciplining and of studentAchievement is practised, and is used to customize learned lesson and choosing with the execution of punitive measures, the personalized customization device 5 for awardingSelect on-line study teammate.
Film-type contact sensor is used on 8 chair back of seat, the film-type contact sensor is by being located at chairMultiple sensing units composition of back single-row setting from top to bottom, the spacing between neighboring sensor unit are in lower one third section5~8mm, interlude are 10~12mm, upper one third section is 15~20mm, and spacing is arranged successively in this example neighboring sensor unitFor 6mm, 11mm, 18mm, pressure distribution test sensor is provided on 8 seat of seat.It listens to the teacher for student is half-heartedWhen, it may appear that little trick is frequent, the case where shaking, twisting on chair, while detecting the pressure change that seat and the chair back are subject to,And when according to being close to the chair back after people, vertebra successively contacts the state change of the chair back, the sensor unit on the chair back from top to bottomDensity is successively reduced from top to bottom, when can effectively avoid movement range smaller, can not detect student's limb action situationOccur, keep movement monitoring when learning to student more sensitive with it is accurate, the information that comprehensive microphone and camera acquire canThe learning state of accurate monitoring student more precisely judges that student is that quiet study or the frequent attention of little trick do not collectIn.
The system provides student's course that can personalize, and carries out certain supervision, prize to the study of studentIt encourages and punishes, particularly by camera, the learning state of microphone and the seat acquisition student with pressure sensor, for learningThe self-disciplining of member carries out evaluation, is different from the evaluation of existing merely school grade, realize it is multi-faceted supervise student to learn, entirelyFace comprehensive evaluation student is conducive to enhance user's viscosity, improves the utilization rate of online education resource, resource and education is avoided to provideThe waste of gold, below describes to the various pieces preferred embodiment of system in detail.
As shown in Fig. 2, the learning evaluation apparatus 4 includes self-disciplining evaluation module 41, achievement assessment module 42, informationProcessing module 43, Ontario Scholar's recommending module 44 and rewards and punishments module 45, the self-disciplining evaluation module 41 and achievement assessment mouldBlock 42 is connect with message processing module 43, and Ontario Scholar's recommending module 44 and rewards and punishments module 45 are used for execution information processing moduleThe information that 43 analyses obtain, the self-disciplining evaluation module 41 acquire the sensor on microphone 6, camera 7 and seat 8To student's learning state information and student's on-line study archive information analyze.
Student's status information includes the acoustic information that microphone 6 acquires, the image information that camera 7 acquires, pressureThe pressure changing information that the seat 8 of force snesor acquisition is subject to, the information pair of 41 comprehensive collection of self-disciplining evaluation moduleStudent's self-disciplining makes evaluation, analyzes whether student talks according to acoustic information, and self-disciplining score button 1 of talking every time divides, according toImage information analyzes the mood of student using computer Emotion identification technology, and then judges the learning state of student and receive journeyDegree, mood be respectively it is irritated, neutral and happy, occur irritated mood self-disciplining score button 2 every time and divide, analyzed according to pressure informationThe action state of student, film-type contact sensor is every 5 minutes output on-off signal 6~10 times average, student's self-disciplining score5 points of button exports on-off signal 10~20 times, and student's self-disciplining score button 10 divides, and input on-off signal 20 times or more, student's self-disciplineProperty score button 30 divide, change 10~20 times within pressure distribution average every 5 minutes on seat, student's self-disciplining score button 5 divides, variation 20~40 times, student's self-disciplining score button 10 divides, and variation 40 times or more, student's self-disciplining score button 30 divides.
The on-line study archive information includes study frequency, learning time, course completeness, practice completeness and surveyTry completeness.
The evaluation item of the achievement assessment module 42 includes practice achievement, test result, other student's answersAccuracy and interacted with teacher teacher to scoring.
Self-disciplining assessment and achievement assessment evaluate student by multinomial information synthesis, scientifically, especially seatThe analysis of pressure change makes above-mentioned rule according to a large amount of statistical data, can effectively exclude people focus under state fromRight limbs delta data, keeps data more accurate, and confidence level is higher, in addition, the rewards and punishments module 45 gives the prize of studentIt encourages including red packet, commendation barrage and medal, punishment exits limitation, taboo number including login limitation, system and notifies good friend.Reward symbolModern main trend is closed, punishment can play the role of warning and pressure, and rewards and punishments, which are gone forward side by side, increases user's stickiness.
The personalized customization device 5 includes official custom's school timetable module 51, liberalization customization school timetable module 52 and teamFriendly selecting module 53, official custom's school timetable module 51 are used to provide the school timetable that system has been deposited, liberalization customization to studentSchool timetable module 52 is used to automatically generate school timetable according to student's demand, and teammate's selecting module 53 selects on-line study team for studentFriend.
Teammate's selecting module 53 includes that orientation good friend selects component 531 and system recommendation good friend to select component 532,Orientation good friend selects component 531 to form a team to log in study together for student and specific student, and system recommendation good friend selects component 532 to supplyStudent selects the self-disciplining assessment higher student of score to go with study from system.This system uses the form for study of forming a team, orIt forms a team together with specific student, or forms a team to learn according to system recommendation, supervise mutually, inertia when avoiding individually learning.
As shown in figure 3, the liberalization customization school timetable module 52 includes label assembly 521, data structure component 522With school timetable formation component 523, the label assembly 521 and data structure component 522 connect with school timetable formation component 523Connect, label assembly 521 be used for provides for student selection series of labels, the label comprising occupation, educational background, personality, the age,Learning materials in cloud storage 2 are classified and are converted to fine granularity by learning demand information, data structure component 522It can examine, form the information selected for school timetable formation component 523.The system is collected by label assembly diversification abundant and is learnedMember's information keeps course customization more targeted, really realizes the personalized customization of course.
A kind of online education man-machine interaction method based on artificial intelligence, comprising the following steps:
S1. material upload: teacher uploads to the learning materials in relation to course in cloud storage；
S2. online registration: course of the student according to customization, corresponding course of registering, and pay corresponding expense；
S3. student logs in: selection, which is gone with, when student logs in learns teammate, supervises mutually and whether completes course learning, opensSensor on microphone, camera and seat；
S4. study and data acquisition: student carries out course learning, the self-disciplining and school grade of system acquisition student onlineAssess data；
S5: learning evaluation: self-disciplining and of the study situation of system comprehensive student 3 times or more study numbers to studentAchievement data is practised to assess student；
S6: award or punishment: system awards self-disciplining and the school grade assessment higher student of score, to scoreJunior punishes.
The online education method uses simply, not will increase student's on-line study burden.
Embodiment 2
As shown in Figure 1, a kind of online education man-machine interactive system based on artificial intelligence, including teacher side 1, cloud storage2, student end 3, learning evaluation apparatus 4 and personalized customization device 5, the student end 3 is provided with computer and seat 8, describedComputer on be connected with microphone 6, camera 7 and buzzer, pressure sensor, the pressure are provided on the seat 8For force snesor for monitoring student to the situation of change of 8 pressure of seat, the learning evaluation apparatus 4 is used to assess oneself of studentRule property and school grade, and learn with the execution of punitive measures, the personalized customization device 5 for customizing for awardingCourse and selection on-line study teammate.
The pressure sensor is arranged on the chair back of seat 8, be disposed with from top to bottom first pressure sensor,Second pressure sensor, third pressure sensor, the first pressure sensor is apart from seat 8-10cm, second pressureForce snesor is apart from 15-20cm of seat, the third pressure sensor first pressure in 25-28cm of seat, the present embodimentForce snesor is apart from seat 9cm, the second pressure sensor distance seat 18cm, the third pressure sensor distanceSeat 27cm.
If the change rate of first pressure sensor pressure is α1, the pressure of second pressure sensor is N2, and third pressure passesThe pressure of sensor is N3, within certain period (t0 → tn), certain period (the tn-t0)≤2s, while meeting followingWhen condition, illustrating that student is absent-minded, buzzer issues prompt tone, remind student conscientiously to listen to the teacher:
1. the α1Increase first, then reduce, finally tend to 0, described tends to 0 finger | α1|≤0.05N/s, i.e.,The variable quantity of one pressure sensor pressure per second is less than 0.05N；
2. the N2 first increases, then reduces, be finally restored to t0When pressure size near, it is described near refer to |N2tn–N2t0|≤10%*N2t0, the N2t0For the pressure of t0 moment second pressure sensor, the N2tnFor the tn momentThe pressure of second pressure sensor；
3. the N3 is gradually reduced, finally tend to N3tn≤ 15%*N3t0, the N3t0For t0 moment third pressure biographyThe pressure of sensor, the N3tnFor the pressure of tn moment third pressure sensor.
The learning evaluation apparatus 4 includes self-disciplining evaluation module 41, achievement assessment module 42, message processing module43, Ontario Scholar's recommending module 44 and rewards and punishments module 45, the self-disciplining evaluation module 41 and achievement assessment module 42 withMessage processing module 43 connects, and Ontario Scholar's recommending module 44 and rewards and punishments module 45 are analyzed for execution information processing module 43The information arrived, the self-disciplining evaluation module 41 is to the collected student of sensor on microphone 6, camera 7 and seat 8Learning state information and student's on-line study archive information are analyzed.
The personalized customization device 5 includes official custom's school timetable module 51, liberalization customization school timetable module 52 and teamFriendly selecting module 53, official custom's school timetable module 51 are used to provide the school timetable that system has been deposited, liberalization customization to studentSchool timetable module 52 is used to automatically generate school timetable according to student's demand, and teammate's selecting module 53 selects on-line study team for studentFriend.
Teammate's selecting module 53 includes that orientation good friend selects component 531 and system recommendation good friend to select component 532,Orientation good friend selects component 531 to form a team to log in study together for student and specific student, and system recommendation good friend selects component 532 to supplyStudent selects the self-disciplining assessment higher student of score to go with study from system.This system uses the form for study of forming a team, orIt forms a team together with specific student, or forms a team to learn according to system recommendation, supervise mutually, inertia when avoiding individually learning.
As shown in figure 3, the liberalization customization school timetable module 52 includes label assembly 521, data structure component 522With school timetable formation component 523, the label assembly 521 and data structure component 522 connect with school timetable formation component 523Connect, label assembly 521 be used for provides for student selection series of labels, the label comprising occupation, educational background, personality, the age,Learning materials in cloud storage 2 are classified and are converted to fine granularity by learning demand information, data structure component 522It can examine, form the information selected for school timetable formation component 523.The system is collected by label assembly diversification abundant and is learnedMember's information keeps course customization more targeted, really realizes the personalized customization of course.
A kind of online education man-machine interaction method based on artificial intelligence, comprising the following steps:
S1. material upload: teacher uploads to the learning materials in relation to course in cloud storage；
S2. online registration: course of the student according to customization, corresponding course of registering, and pay corresponding expense；
S3. student logs in: selection, which is gone with, when student logs in learns teammate, supervises mutually and whether completes course learning, opensSensor on microphone, camera and seat；
S4. study and data acquisition: student carries out course learning, the self-disciplining and school grade of system acquisition student onlineAssess data；
S5: learning evaluation: self-disciplining and of the study situation of system comprehensive student 3 times or more study numbers to studentAchievement data is practised to assess student；
S6: award or punishment: system awards self-disciplining and the school grade assessment higher student of score, to scoreJunior punishes.
It is likely to occur when listening to the teacher for student and does not focus on, there is a situation where run mind, our to a large amount of studentsHabit state carries out it has been observed that many students are half-hearted when listening to the teacher, is absent-minded, there is also the emptying state of short time, at this time eyeMind will appear different degrees of dull, in particular, body muscle will appear relaxation, upper part of the body center of gravity is moved down, and lumbar vertebrae bottom goes outIt now moves back, the physical feeling variation more than seat is more apparent, has to the pressure of chair back different piece and obviously increasesBig or reduction, and this variation has stability and universality.System is equipped with above-mentioned special seat 8, on seat from top to bottom3 sensors are provided with, student can be perceived in time, the pressure change of seat is said when pressure change meets above-mentioned ruleBright student's generation is absent-minded, and system reminds student, so that student is detached from from emptying state in time, all earsClass plays energetically supervisory role.The information that comprehensive microphone 6 and camera 7 acquire is able to comment having for student comprehensivelyValence, cooperation rewards and punishments and course customize, and can effectively improve the utilization rate of online education resource, avoid the wave of resource and education fundsTake.