CN110491218A - A kind of online teaching exchange method, device, storage medium and electronic equipment - Google Patents
A kind of online teaching exchange method, device, storage medium and electronic equipment Download PDFInfo
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- CN110491218A CN110491218A CN201910775300.XA CN201910775300A CN110491218A CN 110491218 A CN110491218 A CN 110491218A CN 201910775300 A CN201910775300 A CN 201910775300A CN 110491218 A CN110491218 A CN 110491218A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T13/00—Animation
- G06T13/80—2D [Two Dimensional] animation, e.g. using sprites
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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
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Abstract
The embodiment of the present application discloses a kind of online teaching exchange method, device, storage medium and electronic equipment, wherein method includes: the input information for obtaining at least one student and being directed to the same content of courses；Extract the corresponding fisrt feature information of the input information；Based on the fisrt feature information, the evaluation result of the input information is calculated；Based on the evaluation result, display animation is generated.Therefore, using the embodiment of the present application, timely, suitable classroom feedback can be given for the answer of each student, to improve the interactive experience in classroom.
Description
Technical field
This application involves field of computer technology more particularly to a kind of online teaching exchange method, device, storage medium and
Electronic equipment.
Background technique
With the development of society, more and more people can select to learn various knowledge constantly to expand oneself.Its
In, it is required to both sides since traditional students and teacher gives lessons face-to-face and on the way takes a substantial amount of time and energy.Therefore, with
The development of communication era, online teaching received by vast user.
Existing one-to-many online teaching mode, either recorded broadcast class or teacher online give lessons to multiple students live streaming,
When student's teacher answers after showing the content of courses, such as many child's answers or with reading, and due to number of student crowd
It is more, timely, suitable classroom feedback can not be given for the answer of each student, reduce the interactive experience in classroom.
Summary of the invention
The embodiment of the present application provides a kind of online teaching exchange method, device, storage medium and electronic equipment, can be with needle
Timely, suitable classroom feedback is given to the answer of each student, to improve the interactive experience in classroom.The technical solution
It is as follows:
In a first aspect, the embodiment of the present application provides a kind of online teaching exchange method, which comprises
Obtain the input information that at least one student is directed to the same content of courses；
Extract the corresponding fisrt feature information of the input information；
Based on the fisrt feature information, the evaluation result of the input information is calculated；
Based on the evaluation result, display animation is generated.
Second aspect, the embodiment of the present application provide a kind of online teaching interactive device, and described device includes:
Data obtaining module is inputted, the input information for being directed to the same content of courses for obtaining at least one student；
Fisrt feature extraction module, for extracting the corresponding fisrt feature information of the input information；
Evaluation result computing module calculates the evaluation result of the input information for being based on the fisrt feature information；
It shows animation producing module, for being based on the evaluation result, generates display animation.
The third aspect, the embodiment of the present application provide a kind of computer storage medium, and the computer storage medium is stored with
A plurality of instruction, described instruction are suitable for being loaded by processor and executing above-mentioned method and step.
Fourth aspect, the embodiment of the present application provide a kind of electronic equipment, it may include: processor and memory；Wherein, described
Memory is stored with computer program, and the computer program is suitable for being loaded by the processor and being executed above-mentioned method step
Suddenly.
The technical solution bring beneficial effect that some embodiments of the application provide includes at least:
The input information that at least one student is directed to the same content of courses is obtained, and extracts the input information corresponding the
One characteristic information is based on the fisrt feature information, the evaluation result of the input information is calculated, to generate display animation.
It is parsed by inputting information to student with the corresponding display animation of intelligence output, can be given for the answer of each student
In time, suitably classroom is fed back, to improve the interactive experience in classroom.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of network architecture schematic diagram of online teaching interactive system provided by the embodiments of the present application；
Fig. 2 is a kind of flow diagram of online teaching exchange method provided by the embodiments of the present application；
Fig. 3 is a kind of flow diagram of online teaching exchange method provided by the embodiments of the present application；
Fig. 4 is a kind of example schematic of examination question display interface of testing and assessing provided by the embodiments of the present application；
Fig. 5 is a kind of example schematic of examination question display interface of testing and assessing provided by the embodiments of the present application；
Fig. 6 is a kind of example schematic of evaluation information way of output provided by the embodiments of the present application；
Fig. 7 is a kind of flow diagram of online teaching exchange method provided by the embodiments of the present application；
Fig. 8 is a kind of structural schematic diagram of online teaching interactive device provided by the embodiments of the present application；
Fig. 9 is the structural schematic diagram of a kind of electronic equipment provided by the embodiments of the present application.
Specific embodiment
To keep the purposes, technical schemes and advantages of the application clearer, below in conjunction with attached drawing to the embodiment of the present application
Mode is described in further detail.
In the following description when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different attached drawings indicate same or similar
Element.Embodiment described in following exemplary embodiment does not represent all embodiment party consistent with the application
Formula.On the contrary, they are only the consistent device and method of as detailed in the attached claim, the application some aspects
Example.
In the description of the present application, it is to be understood that term " first ", " second " etc. are used for description purposes only, without
It can be interpreted as indication or suggestion relative importance.For the ordinary skill in the art, on being understood with concrete condition
State the concrete meaning of term in this application.In addition, unless otherwise indicated, " multiple " refer to two in the description of the present application
Or it is more than two."and/or" describes the incidence relation of affiliated partner, indicates may exist three kinds of relationships, for example, A and/or B,
Can indicate: individualism A exists simultaneously A and B, these three situations of individualism B.Character "/" typicallys represent forward-backward correlation pair
As if a kind of relationship of "or".
The application is illustrated below with reference to specific embodiment.
It referring to Figure 1, is a kind of network architecture schematic diagram of online teaching interactive system provided by the embodiments of the present application.Such as
Shown in Fig. 1, the network architecture may include server 1000 and user terminal cluster；The user terminal cluster can wrap
The user terminal 2000 of teacher and the user terminal of multiple students are included, as shown in Figure 1, the user terminal of student specifically includes use
Family terminal 3000a, user terminal 3000b ..., user terminal 3000n；Academics and students pass through respectively respective user terminal to
1000 upload information of server, and the processing letter issued after server 1000 is handled based on institute's upload information is received respectively
Breath, to realize online teaching.In the embodiment of the present application, the information that teacher uploads can be the content of courses, and server 1000 will
The content of courses shows that student's input is directed to the input information of the content of courses after being sent to the user terminal of each student,
And this is entered information as into upload information and is sent to server 1000.For ease of understanding, the embodiment of the present application can be shown in Fig. 1
Executing subject of the user terminal 3000a as this programme, with user terminal 3000a, the user terminal 3000b, user in Fig. 1
Terminal 3000c and user terminal 3000d be same classroom student for be described.
Wherein, the server is the server for having the identifications such as voice, text and matching feature.
The user terminal includes but is not limited to: smart phone, tablet computer, handheld device, vehicle-mounted is set PC
Standby, wearable device calculates equipment or the other processing equipments for being connected to radio modem etc..
As shown in Figure 1, teacher and student 1, student 2, student 3 and student 4 form 1V4 teaching mould in consolidated network classroom
Formula, the use that teacher passes through user terminal 2000 and the user terminal 3000a of student 1, the user terminal 3000b of student 2, student 3
The user terminal 3000d of family terminal 3000c and student 4 are interacted, to realize online teaching.Specifically, passing through teacher
Operation, user terminal 2000 sends the content of courses to server 1000, which is respectively sent to by server 1000
User terminal 3000a and other user terminals, user terminal 3000a shown after receiving the content of courses, student 1 with
And other students can answer and input correlation and answer information (such as with reading voice messaging), extract the input information
Fisrt feature information is based on the fisrt feature information, calculates the evaluation result of the input information.
Wherein, the corresponding second feature information of the content of courses can be obtained, and calculates the fisrt feature information and institute
The first similarity of second feature information is stated, first similarity is based on, determines the evaluation result of the input information.
Further, based on the history evaluation of first similarity and the student as a result, determine the evaluation result,
The history evaluation result is determined based on the history input information of the student.
Optionally, the second similarity set at least one fisrt feature information between each fisrt feature information is calculated；
The second similarity for being greater than similarity threshold in the second similarity set is obtained, second similarity is based on, determines institute
State the evaluation result of input information.
Further, based on the history evaluation of second similarity and the student as a result, determine the evaluation result,
The history evaluation result is determined based on the history input information of the student.
First similarity and/or second similarity are calculated using trained neural network model.The mind
It can be convolutional neural networks (Convolutional neural networks, CNN, or Deep through network model
Convolutional neural networks, DCNN), deconvolution neural network (Deconvolutional networks,
DN), also referred to as reverse figure network (inverse graphics networks, IGN), Recognition with Recurrent Neural Network (Recurrent
Neural networks, RNN), long memory network (Long/short term memory, LSTM) etc. in short-term.
Finally, user terminal 3000a is based on the evaluation result, display animation is generated.
The display animation is animation effect corresponding with the evaluation result.It can be for for current student one
The evaluation result of people, such as excellent, very good, give me five, come on and fighting, or
It for the comparison result of answering of current student and other students in same classroom, is such as compared with A student, A win's etc is dynamic
Draw or A student with you input information unanimously etc animation.
The input information that at least one student is directed to the same content of courses is obtained, and extracts the input information corresponding the
One characteristic information is based on the fisrt feature information, the evaluation result of the input information is calculated, to generate display animation.
It is parsed by inputting information to student with the corresponding display animation of intelligence output, can be given for the answer of each student
In time, suitably classroom is fed back, to improve the interactive experience in classroom.
Below in conjunction with attached drawing 2- attached drawing 7, it is situated between in detail to online teaching exchange method provided by the embodiments of the present application
It continues.This method is executed by online teaching interactive device, wherein online teaching interactive device can be user terminal shown in FIG. 1
3000a, 3000b ..., any one or more in 3000n.
Fig. 2 is referred to, is a kind of flow diagram of online teaching exchange method provided by the embodiments of the present application.Such as Fig. 2
Shown, the online teaching exchange method of the embodiment of the present application may comprise steps of:
S101 obtains the input information that at least one student is directed to the same content of courses；
The teaching courseware that the content of courses can give lessons to student for teacher online, including question-and-answer problem, assessment topic and
The contents such as interact with the interaction of student.What these contents of courses can be arranged for teacher when making teaching courseware, or
When making teaching courseware, system is pushed.
Wherein, assessment topic or question-and-answer problem or interaction interaction etc. may include at least one, type can for it is spoken with reading,
Spoken language pronunciation, text fragment are write from memory.
Certainly, this multiple assessment examination question can be same grade of difficulty, or different grade of difficulty.
The feasible realization scene of one kind is that the same content of courses is issued to by server and is in same with the teacher by teacher
The student in the online classroom of one network, student answer after receiving the content of courses, input associated answer information.The student
As it is in the student in the online classroom of consolidated network, including at least one.
For example, after demonstrating the spoken language pronunciation on the subscriber terminal, student is followed if current course is spoken language with reading class
It reads, which is input information with reading pronunciation.
Another feasible realizations scene is, server is by the operation of teacher in the content of courses in courseware and recorded broadcast video
(such as clicking operation, the interactive operation with student) synthesizes, and the courseware after synthesis is sent to student side and is shown, student
Operation for the content of courses and teacher that are shown is answered to generate input information, and server is then forwarded to.
S102 extracts the corresponding fisrt feature information of the input information；
Fisrt feature information is related with the input content of information, for example, input information can be voice messaging, text envelope
Breath, pictorial information etc..
By the content of courses be sentence with read for, input information be voice messaging, then fisrt feature information may include
Start the stay time answered, with the total duration of reading, rhythm characteristic, stress feature, prosodic features, clarity etc..
Wherein, the stay time for starting to answer is that the display interface of user terminal plays some word or sentence
Afterwards and user starts the duration between before answering.The stay time is that can reflect the agility of student or to word pronunciation
Proficiency.
Total duration with reading is the total duration with reading some sentence or word.
When stall position and pause when rhythm characteristic refers to user pronunciation between word and word or syllable and syllable
It is long.
Stress refers to that audio tone aggravates because of caused by scene change, which list refers to should read again in a whole word
Word, or which syllable should be read again in a word.
Prosodic features refers to the expression to pronunciation modulation in tone, may include the rhythm of each word, each sentence the rhythm,
The rhythm etc. of each paragraph.
Clarity refers to that the pronunciation of each word perhaps word wants that with clear articulation and a mellow and full tone there is no can not send out or send out last or end syllable unclear.
In another example input information is text information so that the content of courses is to write from memory text fragment as an example, then fisrt feature is believed
Breath may include composition letter, order of words etc..
Wherein, composition letter is that a word is made of which letter, the sequencing relationship of these letters.
Order of words is the sequencing of expression in short each word of (meaning) composition.
In feasible implementation, the input information is parsed, and extracts the input information in parsing result
Fisrt feature information.
S103 is based on the fisrt feature information, calculates the evaluation result of the input information.
Evaluation result can be for evaluation result, assessment score, rank of testing and assessing.
For example, evaluation result may include excellent, very good, give me five, come on and
Fighting etc., or be multiple everyone rankings of match, identical teaching level can also be in current student for output
Other student informations etc..
Score of testing and assessing can be the specific score value in marking range such as 80,90,100.
Rank of testing and assessing can be excellent, good, qualifying, difference etc..
It is understood that different characteristic information corresponds to different evaluation results.Based on characteristic information and evaluation result
Corresponding relationship, first the determining target signature information to match with fisrt feature information is somebody's turn to do so that corresponding evaluation result can be obtained
Evaluation result is to input the corresponding evaluation result of information.
A kind of feasible implementation is to obtain the corresponding second feature information of the content of courses (Key for Reference is corresponding
Characteristic information), calculate the first similarity of the fisrt feature information Yu the second feature information, be based on first phase
Like degree, the evaluation result of the input information is determined.
Wherein, trained neural network model can be used and calculate first similarity.The neural network model can
Think CNN, DCNN, DN, RNN, LSTM etc..
Another feasible implementation is to calculate at least one fisrt feature information (input letter of at least one student
Cease corresponding fisrt feature information) in the second similarity set between each fisrt feature information, obtain second phase
Like the second similarity for being greater than similarity threshold in degree set, it is based on second similarity, determines commenting for the input information
Valence result.It namely finds with current student in the teaching level in same classroom or the teaching comparable student of grade, and generates and comment
The process of valence result.
S104 is based on the evaluation result, generates display animation.
Show that animation can be animation gesture, full animation expression packet, animated text etc..
Show that animation and evaluation result correspond.It is understood that display animation generated can be by server
It generates and sends to student side and shows, can also be parsed and be automatically generated by the user terminal of student.
If being generated by server, server generates a display animation according to the evaluation result of each student respectively, then
Different student sides is respectively sent to be shown；If being generated by user terminal, active user's terminal only needs to generate currently
The display animation of student.
Certainly, user terminal can also receive the evaluation result of each student of server transmission, by comparing evaluation knot
Corresponding display animation is generated after fruit.
Display animation generated can be shown in any region of display interface, such as the lower left corner, the lower right corner.Display side
Formula is not especially limited, and is such as gradually amplified from the lower left corner and is hidden after showing and stopping several seconds.
The input information that at least one student is directed to the same content of courses is obtained, and extracts the input information corresponding the
One characteristic information is based on the fisrt feature information, the evaluation result of the input information is calculated, to generate display animation.
It is parsed by inputting information to student with the corresponding display animation of intelligence output, can be given for the answer of each student
In time, suitably classroom is fed back, to improve the interactive experience in classroom.
Fig. 3 is referred to, is a kind of flow diagram of online teaching exchange method provided by the embodiments of the present application.This is online
Teaching interaction method may comprise steps of:
S201 obtains the input information that at least one student is directed to the same content of courses；
At least one student is the student in the online classroom of consolidated network, at least one student makees for the same content of courses
It answers, and inputs relevant information of answering.
The same content of courses can be the content in the teaching courseware that teacher pushes to student, when needing student to answer,
Student can input result of answering.Such as the examination question that interacts of teacher and student, i.e. teacher puts question to, and student answers.The result of answering of input
It can be voice input, text input etc..
For example, being illustrated in figure 4 the display interface that a kind of server pushes user terminal after the content of courses to user terminal
Schematic diagram, wherein the content of courses is the content shown on courseware in class mark region, currently show in the display area " please with
It reads: 1, Happiness is a way station between too much and too little.2, Whatever is
worth doing is worth doing well.3、Your happy passer-by all knows,my
Distressed there is no place hides. " shows the recorded broadcast that teacher is directed to the courseware in region of warming up before the class
Video, i.e. teacher are directed to the explanation video of the courseware before current time, and code name A is student belonging to active user's terminal,
Code name B and other code names are the student with code name A in the online classroom of consolidated network.Student A is after with running through the 1st, user
Terminal saves should be with reading information or being sent to server, likewise, user terminal saves should when student A is after with running through the 2nd
With reading information or being sent to server.
In another example being illustrated in figure 5 the display that another server pushes user terminal after the content of courses to user terminal
Interface schematic diagram, wherein the content of courses is the content shown on courseware in class mark region, specially " please with reading: 1,
Happiness is a way station between too much and too little. ", it is aobvious in region of warming up before the class
It is shown with the recorded broadcast video that teacher is directed to the courseware, i.e., for the explanation video of the courseware before current time, code name A is teacher
Student belonging to active user's terminal, code name B and other code names are the student with code name A in the online classroom of consolidated network.It learns
Raw A is after with running through, if it is again primary with reading that repeat control may be selected, if confirmation is with running through to dissatisfied with reading result
At after clicking next control, user terminal saves should be with reading information or being sent to server.
S202 extracts the corresponding fisrt feature information of the input information；
Fisrt feature information is related with the input content of information, for example, input information can be voice messaging, can be text
This information can be pictorial information etc..
By the content of courses be sentence with read for, input information be voice messaging, then fisrt feature information may include
Start the stay time answered, with the total duration of reading, rhythm characteristic, stress feature, prosodic features, clarity etc..
Wherein, the stay time for starting to answer is that the display interface of user terminal plays some word or sentence
Afterwards and user starts the duration between before answering.The stay time is that can reflect the agility of student or to word pronunciation
Proficiency.
Total duration with reading is the total duration with reading some sentence or word.For example, if being with reading language with reading content
Sentence " Good Morning ", then the total duration with reading is duration of the student with reading " Good Morning ".In another example if with reading
Content is with reading word " good ", then the total duration with reading is duration of the student with reading " good ".
When stall position and pause when rhythm characteristic refers to user pronunciation between word and word or syllable and syllable
It is long.
Stress refers to that audio tone aggravates because of caused by scene change, which list refers to should read again in a whole word
Word, or which syllable should be read again in a word.
Prosodic features refers to the expression to pronunciation modulation in tone, may include the rhythm of each word, each sentence the rhythm,
The rhythm etc. of each paragraph.
Clarity refers to that the pronunciation of each word perhaps word wants that with clear articulation and a mellow and full tone there is no can not send out or send out last or end syllable unclear.
In the specific implementation, user terminal can parse the input information saved, so that it is special to extract therein first
Reference breath.Alternatively, the input information saved is sent to server by user terminal, by extraction after being parsed by server
Fisrt feature information is sent to the user terminal.
S203 obtains the corresponding second feature information of the content of courses, is calculated using trained neural network model
First similarity of the fisrt feature information and the second feature information；
Second feature information is the feature of the corresponding reference information of the content of courses, it can be understood as the spy of Key for Reference
Sign.
A kind of feasible implementation is, requests second feature information to server, and by the second feature information and the
One characteristic information is compared one by one, obtains first similarity of the two.First similarity is higher, and accuracy is also higher.
Another feasible implementation is to calculate the distance between fisrt feature information and the second feature information,
And the first similarity is obtained according to distance.For example, using the inverse of calculated distance as the first similarity, the distance of calculating
Bigger, the first similarity is lower, or the cosine similarity by carrying out feature vector calculates first similarity, etc..
Wherein, it is compared one by one after needing for fisrt feature information to be aligned with second feature information.Rhythm can be by stopping
Immediately long to indicate, if pausing 0.4 second, the rhythm of the word is 0.4.If 1 indicates stress, 0 indicates non-stress, then the sentence with
The stress feature of corresponding voice segments can be expressed as vector (1,0,0,0) in the voice of family.It, can also for the rhythm and clarity
It is indicated by vector coding.Then by each word according to predetermined order by each characteristic information in the form of row vector or column vector
It indicates, to obtain the corresponding matrix of each sentence, then compares each corresponding matrix alignment.
It should be noted that when the assessment examination question is to fall with read similarity between the two can be calculated sentence by sentence, most
The first final similarity is obtained according to weight afterwards.When the content of courses is with reading sentence, can be calculated between the two by word
Similarity, obtain the similarity of each word, finally obtain the first final similarity according to weight.When the content of courses be with
When reading word, similarity between the two can be calculated by letter one by one, obtain the accuracy of each letter, finally obtained according to weight
To the first final similarity.
S204, it is described based on the history evaluation of first similarity and the student as a result, determining the evaluation result
History evaluation result is determined based on the history input information of the student；
Evaluation result refers to the evaluation result to each content of courses input information.It may include evaluation result, assessment point
Number, assessment rank etc..
For example, the content of courses be word with read, this multiple content of courses be respectively with reading " Whatever ", " is ",
"worth","doing","is","worth","doing","well".So first content of courses is with reading
" Whatever ", and after with running through, exports corresponding evaluation result (for example, excellent), then again with reading " is ",
Export corresponding evaluation result (for example, very good), in the same fashion successively handle " worth ", " doing ",
" is ", " worth ", " doing ", " well " this it is multiple with read.It and is not with reading " Whatever is worth doing
Is worth doing well. " exports one evaluation result of evaluation result or output of each word afterwards.
In another example the content of courses is sentence with reading, this multiple content of courses is respectively with reading " Whatever is worth
doing is worth doing well.”、“Happiness is a way station between too much and
Too little. " and " Your happy passer-by all knows, my distressed there is no
Place hides. " is so after student is with running through " Whatever is worth doing is worth doing well. "
Export to the evaluation result (for example, very good) of entire sentence, then according still further to identical mode handle other two with
Reading statement.
The history evaluation result can be the evaluation result for the history of same content of courses input information, for example,
The content of courses is with reading " Whatever ", then when history evaluation result is a certain moment before current time or is multiple
Carve the evaluation result with reading " Whatever " of input, such as excellent.The history evaluation result can also be for for difference
The evaluation result of the history input information of the content of courses, such as good.
In the specific implementation, in conjunction with the first similarity and history evaluation as a result, calculating current evaluation result.Wherein, first
Similarity is the similarity of current input information and reference information, and the first similarity is higher, shows that user's accuracy rate of answering is got over
Height can be with by combining history evaluation as a result, the weight based on history evaluation result evaluation result corresponding with the first similarity
More accurately determine current evaluation result.
For example, as shown in table 1, the first different similarities correspond to different evaluation results, if the first similarity is 93%,
Corresponding evaluation result is prefect, and history evaluation result is prefect, it is determined that current evaluation result is prefect.
If the first similarity is 71%, corresponding evaluation result is excellent, and history evaluation result is very good, it is determined that when
Preceding evaluation result is excellent.
Table 1
| First similarity | Evaluation result |
| Greater than 80% | prefect |
| 80%~40% | excellent |
| 40%~0% | good job |
| 0% | time up/keep trying |
S205 is based on the evaluation result, generates display animation.
The concept of animation is different from cartoon in general sense, and animation is a kind of polytechnic art, it be gathered drawing,
The artistic expression of numerous artistic class such as film, Digital Media, photography, music, literature.Namely by people
Expression, movement, variation of object etc. are drawn as the picture of many movement moments after decomposing, then are continuously shot into a series of pictures, to view
Feel the picture for causing consecutive variations.
For example, server sends the evaluation result when the evaluation result for determining the 1st topic in Fig. 5 is " excellent "
The evaluation result is generated to user terminal or user terminal, at this point, the cartoon in the lower left corner is amplified and exported in control interface
The gesture of " excellent ", as shown in fig. 6, simultaneously can be with voice or text mode output " excellent ".
The input information that at least one student is directed to the same content of courses is obtained, and extracts the input information corresponding the
One characteristic information is based on the fisrt feature information, the evaluation result of the input information is calculated, to generate display animation.
It is parsed by inputting information to student with the corresponding display animation of intelligence output, can be given for the answer of each student
In time, suitably classroom is fed back, to improve the interactive experience in classroom.
Fig. 7 is referred to, is a kind of flow diagram of online teaching exchange method provided by the embodiments of the present application.This is online
Teaching interaction method may comprise steps of:
S301 obtains the input information that at least one student is directed to the same content of courses；
S302 extracts the corresponding fisrt feature information of the input information；
For details, reference can be made to S201-S202 by S301-S302, and details are not described herein again.
S303 calculates each fisrt feature information at least one fisrt feature information using trained neural network model
Between the second similarity set；
It is understood that multiple fisrt feature information are separately input into neural network model, so as to obtain
The second similarity between every two fisrt feature information.
E.g., including the similarity between AB then can be obtained between S1, AC in A, B, C, D totally 4 fisrt feature information
It is similarity between S3, BC be similarity between S4, BD is S5 that similarity, which is the similarity between S2, AD, between CD
Similarity is S6.
S304 obtains the second similarity for being greater than similarity threshold in the second similarity set；
If the fisrt feature information of current student X1 is A, and S1 and S2 are all larger than similarity threshold S0, and B corresponds to student X2,
C corresponds to student X3, it is determined that X1 is close with the result of answering of X2 and X3.
S305, it is described based on the history evaluation of second similarity and the student as a result, determining the evaluation result
History evaluation result is determined based on the history input information of the student；
It is understood that answering after student similar in result finding out with current student, and the history based on the student
Evaluation result generates current evaluation result.For example, history evaluation result is very good, then the evaluation result generated can be with
For " student X2 and X3 is similar to your input information, is very good ".It is begged for so as to facilitate X1 to exchange with X2 and X3
By.
S306 is based on the evaluation result, generates display animation.
For details, reference can be made to S205, and details are not described herein again.
The input information that at least one student is directed to the same content of courses is obtained, and extracts the input information corresponding the
One characteristic information is based on the fisrt feature information, the evaluation result of the input information is calculated, to generate display animation.
It is parsed by inputting information to student with the corresponding display animation of intelligence output, can be given for the answer of each student
In time, suitably classroom is fed back, to improve the interactive experience in classroom.
Following is the application Installation practice, can be used for executing the application embodiment of the method.It is real for the application device
Undisclosed details in example is applied, the application embodiment of the method is please referred to.
Fig. 8 is referred to, it illustrates the structures for the online teaching interactive device that one exemplary embodiment of the application provides
Schematic diagram.The online teaching interactive device being implemented in combination with as the complete of user terminal by software, hardware or both
Portion or a part.The device 1 includes input data obtaining module 10, fisrt feature extraction module 20, evaluation result computing module
30 and display animation producing module 40.
Data obtaining module 10 is inputted, the input information for being directed to the same content of courses for obtaining at least one student；
Fisrt feature extraction module 20, for extracting the corresponding fisrt feature information of the input information；
Evaluation result computing module 30 calculates the evaluation knot of the input information for being based on the fisrt feature information
Fruit；
It shows animation producing module 40, for being based on the evaluation result, generates display animation.
Optionally, the fisrt feature extraction module 20, is specifically used for:
The corresponding second feature information of the content of courses is obtained, the fisrt feature information and the second feature are calculated
First similarity of information；
Based on first similarity, the evaluation result of the input information is determined.
Optionally, the fisrt feature extraction module, is specifically used for:
Based on the history evaluation of first similarity and the student as a result, determining the evaluation result, the history
Evaluation result is determined based on the history input information of the student.
Optionally, the fisrt feature extraction module, is specifically used for:
Calculate the second similarity set at least one fisrt feature information between each fisrt feature information；
The second similarity for being greater than similarity threshold in the second similarity set is obtained, it is similar based on described second
Degree determines the evaluation result of the input information.
Optionally, the fisrt feature extraction module, is specifically used for:
First similarity and/or second similarity are calculated using trained neural network model.
Optionally, the fisrt feature extraction module, is specifically used for:
Based on the history evaluation of second similarity and the student as a result, determining the evaluation result, the history
Evaluation result is determined based on the history input information of the student.
Optionally, the input information includes the voice messaging of student.
It should be noted that online teaching interactive device provided by the above embodiment is executing online teaching exchange method
When, only the example of the division of the above functional modules, in practical application, it can according to need and divide above-mentioned function
With being completed by different functional modules, i.e., the internal structure of equipment is divided into different functional modules, to complete above description
All or part of function.In addition, online teaching interactive device provided by the above embodiment and online teaching exchange method are real
It applies example and belongs to same design, embody realization process and be detailed in embodiment of the method, which is not described herein again.
Above-mentioned the embodiment of the present application serial number is for illustration only, does not represent the advantages or disadvantages of the embodiments.
The input information that at least one student is directed to the same content of courses is obtained, and extracts the input information corresponding the
One characteristic information is based on the fisrt feature information, the evaluation result of the input information is calculated, to generate display animation.
It is parsed by inputting information to student with the corresponding display animation of intelligence output, can be given for the answer of each student
In time, suitably classroom is fed back, to improve the interactive experience in classroom.
The embodiment of the present application also provides a kind of computer storage medium, the computer storage medium can store more
Item instruction, described instruction are suitable for being loaded by processor and being executed the method and step such as above-mentioned Fig. 1-embodiment illustrated in fig. 7, specifically hold
Row process may refer to Fig. 1-embodiment illustrated in fig. 7 and illustrate, herein without repeating.
Fig. 9 is referred to, provides the structural schematic diagram of a kind of electronic equipment for the embodiment of the present application.As shown in figure 9, described
Electronic equipment 1000 may include: at least one processor 1001, at least one network interface 1004, and user interface 1003 is deposited
Reservoir 1005, at least one communication bus 1002.
Wherein, communication bus 1002 is for realizing the connection communication between these components.
Wherein, user interface 1003 may include display screen (Display), camera (Camera), optional user interface
1003 can also include standard wireline interface and wireless interface.
Wherein, network interface 1004 optionally may include standard wireline interface and wireless interface (such as WI-FI interface).
Wherein, processor 1001 may include one or more processing core.Processor 1001 using it is various excuse and
Various pieces in the entire electronic equipment 1000 of connection, by run or execute the instruction being stored in memory 1005,
Program, code set or instruction set, and the data being stored in memory 1005 are called, execute the various function of electronic equipment 1000
It can and handle data.Optionally, processor 1001 can using Digital Signal Processing (Digital Signal Processing,
DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array
At least one of (Programmable Logic Array, PLA) example, in hardware is realized.Processor 1001 can integrating central
Processor (Central Processing Unit, CPU), image processor (Graphics Processing Unit, GPU)
With the combination of one or more of modem etc..Wherein, the main processing operation system of CPU, user interface and apply journey
Sequence etc.；GPU is used to be responsible for the rendering and drafting of content to be shown needed for display screen；Modem is for handling channel radio
Letter.It is understood that above-mentioned modem can not also be integrated into processor 1001, carried out separately through chip piece
It realizes.
Wherein, memory 1005 may include random access memory (Random Access Memory, RAM), also can wrap
Include read-only memory (Read-Only Memory).Optionally, which includes non-transient computer-readable medium
(non-transitory computer-readable storage medium).Memory 1005 can be used for store instruction, journey
Sequence, code, code set or instruction set.Memory 1005 may include storing program area and storage data area, wherein storing program area
Can store the instruction for realizing operating system, the instruction at least one function (such as touch function, sound play function
Energy, image player function etc.), for realizing instruction of above-mentioned each embodiment of the method etc.；Storage data area can store each above
The data etc. being related in a embodiment of the method.Memory 1005 optionally can also be that at least one is located remotely from aforementioned processing
The storage device of device 1001.As shown in figure 9, as may include operation system in a kind of memory 1005 of computer storage medium
System, network communication module, Subscriber Interface Module SIM and online teaching interactive application.
In electronic equipment 1000 shown in Fig. 9, user interface 1003 is mainly used for providing the interface of input for user, obtains
Take the data of family input；And processor 1001 can be used for calling the online teaching interactive application journey stored in memory 1005
Sequence, and specifically execute following operation:
Obtain the input information that at least one student is directed to the same content of courses；
Extract the corresponding fisrt feature information of the input information；
Based on the fisrt feature information, the evaluation result of the input information is calculated；
Based on the evaluation result, display animation is generated.
In one embodiment, the processor 1001 is being executed based on the fisrt feature information, calculates the input
It is specific to execute following operation when the evaluation result of information:
The corresponding second feature information of the content of courses is obtained, the fisrt feature information and the second feature are calculated
First similarity of information；
Based on first similarity, the evaluation result of the input information is determined.
In one embodiment, the processor 1001 is being executed based on first similarity, determines the input letter
It is specific to execute following operation when the evaluation result of breath:
Based on the history evaluation of first similarity and the student as a result, determining the evaluation result, the history
Evaluation result is determined based on the history input information of the student.
In one embodiment, the processor 1001 is being executed based on the fisrt feature information, calculates the input
It is specific to execute following operation when the evaluation result of information:
Calculate the second similarity set at least one fisrt feature information between each fisrt feature information；
The second similarity for being greater than similarity threshold in the second similarity set is obtained, it is similar based on described second
Degree determines the evaluation result of the input information.
In one embodiment, the processor 1001 also executes following operation:
First similarity and/or second similarity are calculated using trained neural network model.
In one embodiment, the processor 1001 is being executed based on second similarity, determines the input letter
It is specific to execute following operation when the evaluation result of breath:
Based on the history evaluation of second similarity and the student as a result, determining the evaluation result, the history
Evaluation result is determined based on the history input information of the student.
In one embodiment, the input information includes the voice messaging of student.
The input information that at least one student is directed to the same content of courses is obtained, and extracts the input information corresponding the
One characteristic information is based on the fisrt feature information, the evaluation result of the input information is calculated, to generate display animation.
It is parsed by inputting information to student with the corresponding display animation of intelligence output, can be given for the answer of each student
In time, suitably classroom is fed back, to improve the interactive experience in classroom.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in a computer-readable storage medium
In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory or random access memory etc..
Above disclosed is only the application preferred embodiment, cannot limit the right model of the application with this certainly
It encloses, therefore according to equivalent variations made by the claim of this application, still belongs to the range that the application is covered.
Claims (10)
1. a kind of online teaching exchange method, which is characterized in that the described method includes:
Obtain the input information that at least one student is directed to the same content of courses；
Extract the corresponding fisrt feature information of the input information；
Based on the fisrt feature information, the evaluation result of the input information is calculated；
Based on the evaluation result, display animation is generated.
2. being calculated described defeated the method according to claim 1, wherein described be based on the fisrt feature information
Enter the evaluation result of information, comprising:
The corresponding second feature information of the content of courses is obtained, the fisrt feature information and the second feature information are calculated
The first similarity；
Based on first similarity, the evaluation result of the input information is determined.
3. according to the method described in claim 2, it is characterized in that, it is described be based on first similarity, determine the input
The evaluation result of information, comprising:
Based on the history evaluation of first similarity and the student as a result, determining the evaluation result, the history evaluation
As a result it is determined based on the history input information of the student.
4. being calculated described defeated the method according to claim 1, wherein described be based on the fisrt feature information
Enter the evaluation result of information, comprising:
Calculate the second similarity set at least one fisrt feature information between each fisrt feature information；
The second similarity for being greater than similarity threshold in the second similarity set is obtained, is based on second similarity, really
The evaluation result of the fixed input information.
5. method according to claim 2 or 4, which is characterized in that further include:
First similarity and/or second similarity are calculated using trained neural network model.
6. according to the method described in claim 4, it is characterized in that, it is described be based on second similarity, determine the input
The evaluation result of information, comprising:
Based on the history evaluation of second similarity and the student as a result, determining the evaluation result, the history evaluation
As a result it is determined based on the history input information of the student.
7. the method according to claim 1, wherein the input information includes the voice messaging of student.
8. a kind of online teaching interactive device, which is characterized in that described device includes:
Data obtaining module is inputted, the input information for being directed to the same content of courses for obtaining at least one student；
Fisrt feature extraction module, for extracting the corresponding fisrt feature information of the input information；
Evaluation result computing module calculates the evaluation result of the input information for being based on the fisrt feature information；
It shows animation producing module, for being based on the evaluation result, generates display animation.
9. a kind of computer storage medium, which is characterized in that the computer storage medium is stored with a plurality of instruction, described instruction
Suitable for being loaded by processor and being executed the method and step such as claim 1~7 any one.
10. a kind of electronic equipment characterized by comprising processor and memory；Wherein, the memory is stored with calculating
Machine program, the computer program are suitable for being loaded by the processor and being executed the method step such as claim 1~7 any one
Suddenly.
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| CN111651102A (en) * | 2020-04-30 | 2020-09-11 | 北京大米科技有限公司 | Online teaching interaction method and device, storage medium and electronic equipment |
| CN111796846A (en) * | 2020-07-06 | 2020-10-20 | 成都艾乐橙文化传播有限公司 | Information updating method and device, terminal equipment and readable storage medium |
| CN111930971A (en) * | 2020-05-21 | 2020-11-13 | 北京大米科技有限公司 | Online teaching interaction method and device, storage medium and electronic equipment |
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Application publication date: 20191122 |