CN111476443A - Noninductive commenting system based on artificial intelligence - Google Patents
Noninductive commenting system based on artificial intelligence Download PDFInfo
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- CN111476443A CN111476443A CN201910061669.4A CN201910061669A CN111476443A CN 111476443 A CN111476443 A CN 111476443A CN 201910061669 A CN201910061669 A CN 201910061669A CN 111476443 A CN111476443 A CN 111476443A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
Abstract
The invention relates to the technical field of teaching evaluation systems, in particular to an artificial intelligence-based non-sensory comment system, which comprises: the voice acquisition module is used for acquiring voice of a user; the voice recognition processing module is used for recognizing the voice collected by the voice collection module, converting the voice into characters and recognizing the comment elements; distinguishing the identified comment elements, waking up the system when the comment elements are wake-up commands, and sending voice commands of users to a voice command module; and the voice command module is used for receiving the voice command sent by the voice recognition processing module. The system completely meets the requirements of education and teaching evaluation of schools, has the advantages of simplicity, convenience, comprehensive evaluation, intelligent identification, powerful functions, high system response speed and quick deployment, and is suitable for being used by various platforms such as computers, electronic whiteboards, smart phones and intelligent robot systems.
Description
Technical Field
The invention relates to the technical field of teaching evaluation systems, in particular to a non-sensory comment system based on artificial intelligence.
Background
In recent years, the education department develops texts continuously for promoting comprehensive quality evaluation of students, but the education department has little effect, and the evaluation is mainly caused by that no good evaluation system is available for teachers. In order to timely record the learning condition, the performance and the like of the children, a teacher is often required to record evaluation data of the children. However, the recording method currently used, whether recording on paper or recording in a software system, requires a lot of time and is very inconvenient for the user. Especially, in class, the teacher needs to continuously and real-timely evaluate the classroom performance and learning condition of the student, and also needs to evaluate and record the completion condition of the student when performing the homework. If the teacher cries on class, the teaching progress is inevitably influenced by continuously opening the software for recording or recording on paper. The evaluation systems on the market are also of various types, and software is always required to be manually opened for performing comment operation during evaluation, so that no evaluation system for realizing the non-feeling comment function is available at present.
Disclosure of Invention
The invention aims to provide a non-sensory comment system based on artificial intelligence so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
an artificial intelligence based non-sensory commenting system, the system comprising:
the voice acquisition module is used for acquiring voice of a user;
the voice recognition processing module is used for recognizing the voice collected by the voice collection module, converting the voice into characters and recognizing the comment elements; distinguishing the identified comment elements, waking up the system when the comment elements are wake-up commands, and sending voice commands of users to a voice command module;
the voice command module is used for receiving the voice command sent by the voice recognition processing module and matching the voice command with an instruction in the voice command module;
the evaluation processing module starts the evaluation processing module according to the corresponding instruction in the voice command module, and evaluates certain students or groups by using the corresponding index dimension and the score;
and the evaluation feedback module is used for displaying the animation effect of evaluating the addition and subtraction scores.
The invention has the following further effects: the voice acquisition module is composed of a voice acquisition device.
Still further effects of the present invention are: the sound acquisition device is a microphone.
Still further effects of the present invention are: the system also comprises a voice learning and training module, wherein the voice learning and training module is used for learning and processing student names, common comment commands and comment indexes.
Still further effects of the present invention are: the system also comprises a data storage module, wherein the data storage module is used for storing the evaluation data.
Still further effects of the present invention are: the system also includes an evaluation revision module that revises the false evaluation that was not in effect.
The system mainly adopts voice recognition and control, is based on non-inductive operation (namely, a teacher does not deliberately go to an operating system in teaching, and the system intelligently recognizes the language in class of the teacher to carry out related operation), can record the language in class of the teacher, convert the class record into characters, automatically recognize the comment elements, wake up the system in real time to trigger related commands to carry out non-inductive evaluation, namely voice comment, without needing the teacher to deliberately go to the operating system, saves the time of the teacher operating system, can immediately evaluate the learning condition of children and record the learning condition into the system, and simultaneously saves the class record as auxiliary materials.
The system completely meets the requirements of education and teaching evaluation of schools, has the advantages of simplicity, convenience, comprehensive evaluation, intelligent identification, powerful functions, high system response speed and quick deployment, and is suitable for being used by various platforms such as computers, electronic whiteboards, smart phones and intelligent robot systems.
Drawings
Fig. 1 is a schematic diagram of the structure of the present invention.
In the figure: s100, a voice acquisition module; s200, a voice learning and training module; s300, a voice recognition processing module; s400-a voice command module; s500, an evaluation processing module; s600, a data storage module; s700, evaluating a feedback module; s800, evaluating and correcting the module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, in an embodiment of the present invention, an artificial intelligence-based non-sensory comment system includes:
the voice acquisition module S100 is used for acquiring voice of a user;
the voice recognition processing module S300 is used for recognizing the voice collected by the voice collection module S300, converting the voice into characters and recognizing the comment elements; distinguishing the identified comment elements, waking up the system when the comment elements are wake-up commands, and sending voice commands of users to the voice command module S400;
the voice command module S400, the voice command module S400 is configured to receive the voice command sent by the voice recognition processing module S300, and match the voice command with the instruction in the voice command module S400;
the evaluation processing module S500 is started according to the corresponding instruction in the voice command module S400, and the corresponding index dimension and the score are used for evaluating certain students or groups;
and the evaluation feedback module S700 is used for displaying the animation effect of evaluating the addition and subtraction scores.
The voice acquisition module S100 is composed of a sound acquisition device which is a microphone.
The system further comprises a voice learning and training module S200, wherein the voice learning and training module S200 is used for learning and processing student names, common comment commands and comment indexes, the student names are not common phrases, and the system is required to learn, the voice learning module S200 mainly adopts a deep learning technology to enable the system to learn and process a large number of student names, common comment commands, comment indexes and the like, and the system can accurately match in subsequent comments after learning, so that the error rate is reduced.
The system further comprises a data storage module S600, wherein the data storage module S600 is configured to store the evaluation data.
The system further comprises an evaluation correcting module S800, the evaluation correcting module S800 corrects the error evaluation which is not effective, and the system also stores the information of the error of the voice recognition together because the voice recognition may have certain errors, and corrects the error evaluation which is not effective by starting the evaluation correcting module S800.
The invention can bring great convenience to the teacher to use the evaluation system, no extra time is needed to use the system, the teacher can realize evaluation only by paying attention to the use of voice commands in teaching, and the invention is very convenient.
The way of waking up the system and the wake-up words before the voice comment, such as: an intelligent mode, a voice comment, an evaluation opening, a comment sending, a feedback sending and other awakening commands.
The command mode of the voice comment is as follows: the praise XX positively answers the question; criticizing XX is not attentive in class; adding X to XX; deducting X points for XX; sending the comment to XX for listening and speaking; sending feedback to XX to help classmates; revocation of XX comments; sending comment to them (meaning randomly chosen classmates or groups)
The voice control commands are as follows: randomly choosing X names of classmates; starting timing for X minutes; starting a countdown for X minutes; narrowing (narrowing) the ranking list; expanding (magnifying) the leaderboard; voice attendance (XX late, XX leave, XX absent, the rest all arrive; open student list, zoom comment system.
Other voice commands such as: opening the comprehensive quality evaluation system, closing the comment system, switching users, exiting the system and the like.
After the comment is executed, the head portrait or the group photo of the student and the animation display of adding and subtracting the scores appear on the screen.
The commenting system also has a manual mode, and mainly has the functions of commenting, checking attendance, random selection and the like in a noisy environment.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (6)
1. An artificial intelligence based non-sensory commenting system, characterized by comprising:
a voice acquisition module (S100), the voice acquisition module (S100) being used for acquiring voice of a user;
the voice recognition processing module (S300) is used for recognizing the voice collected by the voice collection module (S300), converting the voice into characters and recognizing the comment elements; distinguishing the identified comment elements, waking up the system when the comment elements are wake-up commands, and sending voice commands of users to a voice command module (S400);
the voice command module (S400), the voice command module (S400) is used for receiving the voice command sent by the voice recognition processing module (S300) and matching the voice command with the instruction in the voice command module (S400);
the evaluation processing module (S500) is started according to the corresponding instruction in the voice command module (S400), and the corresponding index dimension and the score are used for evaluating certain students or groups;
and the evaluation feedback module (S700) is used for displaying the animation effect of evaluating the addition and subtraction scores.
2. The artificial intelligence based sentineless commenting system according to claim 1, wherein the voice collecting module (S100) is constituted by a sound collecting means.
3. The artificial intelligence based sentineless commenting system according to claim 2, wherein the sound collecting means is a microphone.
4. The artificial intelligence based sentineless commenting system according to claim 1, further comprising a voice learning and training module (S200), wherein the voice learning and training module (S200) is used for learning and processing student names, common commenting orders and commenting indexes.
5. The artificial intelligence based sentinel assessment system according to claim 1 or 4, wherein the system further comprises a data storage module (S600), the data storage module (S600) being configured to store assessment data.
6. The artificial intelligence based sentineless commenting system according to claim 5, further comprising an evaluation correcting module (S800), wherein the evaluation correcting module (S800) corrects a false evaluation that is not validated.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910061669.4A CN111476443A (en) | 2019-01-23 | 2019-01-23 | Noninductive commenting system based on artificial intelligence |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910061669.4A CN111476443A (en) | 2019-01-23 | 2019-01-23 | Noninductive commenting system based on artificial intelligence |
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| CN111476443A true CN111476443A (en) | 2020-07-31 |
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| CN201910061669.4A Withdrawn CN111476443A (en) | 2019-01-23 | 2019-01-23 | Noninductive commenting system based on artificial intelligence |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112667070A (en) * | 2020-11-03 | 2021-04-16 | 北京大米科技有限公司 | Online classroom interaction method and device, electronic equipment and storage medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112667070A (en) * | 2020-11-03 | 2021-04-16 | 北京大米科技有限公司 | Online classroom interaction method and device, electronic equipment and storage medium |
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Application publication date: 20200731 |
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