CN111243367A - Robot teaching system - Google Patents
Robot teaching system Download PDFInfo
- Publication number
- CN111243367A CN111243367A CN202010212241.8A CN202010212241A CN111243367A CN 111243367 A CN111243367 A CN 111243367A CN 202010212241 A CN202010212241 A CN 202010212241A CN 111243367 A CN111243367 A CN 111243367A
- Authority
- CN
- China
- Prior art keywords
- robot
- teaching
- module
- question
- test
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/06—Electrically-operated teaching apparatus or devices working with questions and answers of the multiple-choice answer-type, i.e. where a given question is provided with a series of answers and a choice has to be made from the answers
- G09B7/08—Electrically-operated teaching apparatus or devices working with questions and answers of the multiple-choice answer-type, i.e. where a given question is provided with a series of answers and a choice has to be made from the answers characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question, supplying further information
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
- G09B7/04—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question, supplying a further explanation
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- General Physics & Mathematics (AREA)
- Manipulator (AREA)
Abstract
The embodiment of the invention discloses a robot teaching system. This teaching system includes: the robot and with at least one customer end of robot communication connection, wherein, the robot includes: the testing module is used for distributing at least one testing question to at least one client and receiving a question solving result fed back by the client; the test question analysis module is in communication connection with the test module and used for determining a target test question with an error rate reaching a preset threshold value according to a question solving result; and the knowledge point consolidation module is in communication connection with the test question analysis module and is used for acquiring knowledge points corresponding to the target test questions and explaining the knowledge points. The technical scheme of the embodiment of the invention solves the problem that the existing robot system does not set a feedback mechanism aiming at the test result in the teaching process, realizes the targeted explanation of the error-prone knowledge points, and ensures that the user can master the error-prone knowledge points more firmly.
Description
Technical Field
The embodiment of the invention relates to the technical field of robots, in particular to a robot teaching system.
Background
The robot technology integrates the development results of multiple disciplines, represents the development front edge of high technology, relates to multiple fields of information technology, integrates multiple advanced technologies and has stronger comprehensiveness.
Robot teaching is introduced in the education field, new vitality is added to teaching courses, and the robot teaching platform becomes an excellent platform for cultivating comprehensive ability and information literacy of students.
However, the existing teaching robot can only judge whether the test questions made by the students are correctly answered or not in the teaching process, and feeds the test results back to the students after judgment so that teachers or parents can look up the test results, thereby artificially assisting the students to strengthen the learning of individual knowledge points. Namely, the existing robot system is not provided with a feedback mechanism aiming at a test result, and is not intelligent enough.
Disclosure of Invention
The embodiment of the invention provides a robot teaching system, which finds corresponding knowledge points according to test questions with higher user error rate, explains and consolidates the error-prone knowledge points of users, and enables the users to master the error-prone knowledge points more firmly.
The embodiment of the invention provides a robot teaching system, which comprises a robot and at least one client end in communication connection with the robot, wherein the robot comprises:
the test module is used for distributing at least one test question to at least one client and receiving a question solving result fed back by the client;
and the test question analysis module is in communication connection with the test module and is used for determining the target test questions with the error rate reaching the preset threshold according to the question solving results.
And the knowledge point consolidation module is in communication connection with the test question analysis module and is used for acquiring the knowledge points corresponding to the target test questions and explaining the knowledge points.
According to the technical scheme of the embodiment of the invention, the problem solving result fed back by the client is analyzed by adding the test question analyzing module in the robot of the robot teaching system, the target test question with higher error rate is determined, instead of only feeding back the test result to the client, and then the knowledge point corresponding to the target test question is explained by the knowledge point consolidating module, namely the knowledge point consolidating module can find the corresponding knowledge point through the test question with higher error rate, and pertinently explain and consolidate the error-prone knowledge point, so that a client user can better master the knowledge point, the problem that the existing robot system does not set a feedback mechanism aiming at the test result in the teaching process is solved, and the technical effect of more humanized and intelligent teaching is realized.
Drawings
Fig. 1 is a schematic structural diagram of a robot teaching system according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram of a robot teaching system according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a robot teaching system according to a third embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a schematic structural diagram of a robot teaching system according to an embodiment of the present invention, where the embodiment provides a robot teaching system 1, the robot teaching system includes a robot 10 and at least one client 14 communicatively connected to the robot, where the robot 10 includes: the test system comprises a test module 11, a test question analysis module 12 and a knowledge point consolidation module 13; the testing module 11 is used for distributing at least one testing question to at least one client and receiving a question solving result fed back by the client; the test question analysis module 12 is in communication connection with the test module 11 and is used for determining a target test question with an error rate reaching a preset threshold value according to the question solving result; the knowledge point consolidation module 13 is in communication connection with the test question analysis module 12, and is used for acquiring knowledge points corresponding to the target test questions and explaining the knowledge points. There are many ways for the test module 11 to issue test questions. Optionally, when the test module 11 receives a test question acquisition instruction sent by the client 14, at least one test question is issued to the client 14, and a question solving result fed back by the client 14 within a specified time is received. The advantage of this is that the user of the client 14 can determine the testing time by himself, and the robot can adapt to the individual needs of the user well.
Optionally, when detecting that the current time reaches the preset test start time, the test module 11 issues at least one test question to the client 14, and receives a question solving result fed back by the client 14 within a specified time. The technical scheme is particularly suitable for the situation that the test needs to be carried out at the same time.
Among them, the client 14 includes: and the computer, the tablet computer or the mobile phone and the like can receive and send data with the robot. For example, 20 users are in a classroom test, the test module 11 of the robot issues 10 test questions to a tablet computer used by 20 users, the users feed back the answer results to the test module 11 after answering on the tablet computer, the test module 11 transmits the answer results to the test question analysis module 12 of the robot, the test question analysis module 12 presets an error rate threshold to be 40%, namely the number of students who answer a test question is not less than 8, and the test question analysis module 12 determines the test questions with the error rate of more than or equal to 40% from the 10 test questions as target test questions according to the answer results of the 20 students.
In the embodiment of the present invention, the knowledge point consolidation module 13 may be specifically configured to obtain the knowledge points corresponding to the target test question and the target client that is wrong in solving the target test question, and explain the knowledge points for the target client. Illustratively, the explaining of the knowledge point by the target client may be to obtain an explanation record of the knowledge point, package the explanation record, and send the packed explanation record to the target client.
Of course, after acquiring the knowledge points corresponding to the target test questions, the knowledge point consolidation module 13 may also directly explain the knowledge points to all users without acquiring the target client end of the target test question with the wrong answer, so that the users without the wrong answer may also consolidate the wrong knowledge points, thereby avoiding future errors.
According to the technical scheme, the problem solving result fed back by the client side is analyzed by adding the test question analyzing module in the robot of the robot teaching system, the target test question with a higher error rate is determined, the test result is not only fed back to the client side, and then the knowledge points corresponding to the target test question are explained through the knowledge point consolidating module, namely the knowledge point consolidating module can find the corresponding knowledge points through the test question with the higher error rate, the explanation is pertinently carried out on the error-prone knowledge points, so that a client side user can better master the knowledge points, the problem that a feedback mechanism is not set for the test result in the teaching process of the existing robot system is solved, and the technical effects of more humanized and more intelligent teaching are achieved.
Example two
Fig. 2 is a schematic structural diagram of a robot teaching system according to a second embodiment of the present invention, and the technical solution provided in this embodiment is further optimized based on the above-mentioned embodiment, as shown in fig. 2, the robot 1 further includes: a course editing module 21 and a course explaining module 22.
The course editing module 21 is configured to receive a course editing operation of a user, and generate a teaching course according to the course editing operation; the teaching course comprises: at least one of opening a scene, outline of a course, class test, question answering and leaving a scene and course content; and the course explanation module 22 is connected with the course editing module 21 and is used for explaining courses according to the teaching courses.
Illustratively, the behavior editing operation of the robot by the user can be the arrangement of the whole flow when the robot gives lessons. For example, in order to make the robot teaching more humanized and improve the teaching effect, the editing of the robot can be started. The course editing operation may also include selection of course contents, determination of explanation sequence, and the like in arrangement of specific teaching contents. In order to make the teaching framework clear, the robot can be further arranged to publish the course outline before explaining the course content. Further, in order to test the lecture results, classroom tests and/or questions answering and the like can be set according to the lectured knowledge points. When the lecture is finished, the robot can also retreat through a pre-edited retreat mode.
Wherein, teaching course includes at least one item and course content in white, course outline, classroom test, answer and field of leaving, can understand that teaching course not only includes the course content, can also include at least one item in white, course outline, classroom test, answer and field of leaving. Wherein at least one item can be one or two or more items selected from the group consisting of a white-start, a class outline, a classroom test, a question answering and a field returning.
It should be noted that, in the embodiment of the present invention, an explanation mode when explaining a course or a knowledge point is not limited. For example, the explaining method may include playing a recorded video file or a voice file, and the like, and may also include displaying a PPT file, and the like.
The technical scheme of this embodiment for the user can be edited according to actual need to the teaching course of robot through course editor module, later explains according to the teaching course of editing through the course explanation module, makes the mode of giving lessons of robot diversified, can be applicable to different teaching content and teaching object, makes the robot realize need not the mr and intervenes, can carry out the effect of independently imparting knowledge to students.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a robot teaching system according to a third embodiment of the present invention, and the technical solution provided in this embodiment is further optimized based on the foregoing embodiment, as shown in fig. 3, the robot 1 may further include: a behavior editing module 31.
The behavior editing module 31 is configured to receive a behavior editing operation of a user on the robot, and determine a teaching behavior of the robot according to the behavior editing operation, where the teaching behavior includes at least one of teaching sound, teaching language, teaching action, and teaching expression. That is, the behavior editing operation that the user can perform on the robot may be setting teaching behavior that is exhibited when the robot teaches. By adopting the technical scheme, the user can select the teaching style according to the personal preference degree so as to better meet the individual requirements of the user.
The teaching sound may include a teaching sound and/or a teaching volume. For example, the necessary statements in a classroom to maintain classroom order or to activate classroom ambiance, such as: very good answers, please be quiet or speak actively, etc.
Alternatively, the instructional language may include an instructional language type, such as chinese, english, german, or french, and may also include an instructional language type, such as a standard language or dialect.
Wherein the teaching action may comprise a limb action of the robot, such as clapping a hand, walking beside a designated student, or pointing to the PPT with a finger, etc.
Optionally, the instructional expressions may include: happy, satisfied, serious, careless, sad, tangled, severe or angry expressions, etc.
It should be noted that the teaching sounds, teaching languages, teaching actions, teaching expressions, and the like may be set by the user according to the actual needs of the user, or may be set by default, which is not specifically limited herein.
In this embodiment, in order to facilitate the user operation, the behavior editing module 31 may further include: and the behavior style selection module is used for receiving the selection operation of the user on the behavior style selection, acquiring a preset robot behavior mode according to the selection operation, and determining the teaching behavior of the robot according to the robot behavior mode. The robot behavior pattern may be understood as a combination of at least two behavior patterns that have been set in advance.
Optionally, as shown in fig. 3, the robot 1 may further include: a classroom situation awareness module 32. The classroom situation sensing module 32 is configured to obtain classroom behaviors of a user, and determine classroom performances of the user in a current teaching environment according to the classroom behaviors.
Illustratively, the classroom performance includes: quiet, actively answering questions, escaping, replacing the user with others to go on class, doze, speak, walk or alarm; when the performance of the determined user classroom meets the excellent performance conditions, such as quiet classroom, the robot can call the behavior editing module to prompt the user, if the determined user performance is poor, if the user violates classroom discipline, the robot can call the behavior editing module to remind the user to stop the behavior, or when the user answers in class with low enthusiasm, the robot can call the user to ask questions to ask the user for a roll call and stipulate a classmate or several classmates to answer, so that the tense atmosphere of the classroom is increased, the knowledge learned by the user is consolidated, and the user can listen to the speech more seriously.
Illustratively, the classroom situation awareness module 32 includes: a face recognition unit 321.
The face recognition unit 321 may be configured to acquire image information of a user, recognize face information in the image information, and determine classroom performance of the user in a current teaching environment according to the face information. For example, if the detected face information is eyes closed, the determined class is shown as dozing in class.
Illustratively, the face recognition unit 321 may be configured to obtain image information of a user, recognize face information in the image information, determine whether the user is in a preset lecture list according to the face information, and prompt the user if the user is not in the preset lecture list.
In addition, the face recognition unit 321 may be further configured to obtain image information of the user, recognize face information in the image information, and determine whether the user in a preset lecture list appears in a preset lecture listening area according to the face information.
Illustratively, the classroom situation awareness module 32 further includes: a voice acquisition unit 322 and a voice recognition unit 323. The voice acquisition unit 322 is configured to acquire voice information of at least one user in the current teaching environment; and the voice recognition unit 323 is used for performing voice recognition on the voice information and determining the classroom performance of the user in the current teaching environment according to a voice recognition result.
For example, when the robot recognizes voice information during a lecture, the determined class appears to speak randomly, when the robot presents a question and needs to answer the question, the recognized voice information is much, the determined class appears to answer the question positively, and if the recognized voice information is little, the determined class appears to answer the question non-positively.
The technical scheme of this embodiment, user's accessible action editing module is edited the teaching action of robot, the robot is maintained classroom order and classroom atmosphere according to the teaching action of editing, the robot still can confirm the classroom performance of user in the environment of giving lessons at present through classroom condition perception module, adjust self action in real time, some proruption situation should be dealt with, thereby make the robot can replace mr to maintain classroom order, it is more vivid to realize the robot teaching, effect humanized more.
It should be noted that, in the embodiment of the robot teaching system, the included units and modules are only divided according to the functional logic, but are not limited to the above division as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A robot teaching system comprising a robot and at least one client communicatively connected to the robot, wherein the robot comprises:
the testing module is used for distributing at least one testing question to at least one client and receiving a question solving result fed back by the client;
the test question analysis module is in communication connection with the test module and used for determining a target test question with an error rate reaching a preset threshold value according to a question solving result;
and the knowledge point consolidation module is in communication connection with the test question analysis module and is used for acquiring knowledge points corresponding to the target test questions and explaining the knowledge points.
2. The robot teaching system of claim 1, further comprising:
the course editing module is used for receiving course editing operation of a user and generating a teaching course according to the course editing operation;
and the course explanation module is connected with the course editing module and used for explaining courses according to the teaching process.
3. The robot teaching system of claim 2, wherein the teaching lessons include at least one of a white of the scene, a class outline, a class test, a question answer, and a field return, and lesson content.
4. The robot teaching system of claim 2, wherein the course editing module is specifically configured to receive a course editing operation of the user on a course explanation flow and a course explanation content, and generate a teaching course according to the course explanation flow and the course explanation content.
5. The robot teaching system of claim 1, further comprising:
the behavior editing module is used for receiving behavior editing operation of a user on the robot and determining teaching behaviors of the robot according to the behavior editing operation, wherein the teaching behaviors comprise at least one of teaching sound, teaching language, teaching actions and teaching expressions.
6. The robot teaching system according to claim 1, wherein the knowledge point consolidation module is specifically configured to obtain a knowledge point corresponding to the target test question and a target client that is wrong in solving the target test question, and explain the knowledge point to the target client.
7. The robot teaching system of claim 1, further comprising:
and the classroom situation sensing module is used for acquiring classroom behaviors of the user and determining classroom performance of the user in the current teaching environment according to the classroom behaviors.
8. The robot teaching system of claim 7, wherein the classroom situation awareness module includes:
and the face recognition unit is used for acquiring image information of a user, recognizing face information in the image information and determining the classroom performance of the user in the current teaching environment according to the face information.
9. The robot teaching system of claim 7, wherein the classroom situation awareness module includes:
the voice acquisition unit is used for acquiring voice information of at least one user in the current teaching environment;
and the voice recognition unit is used for carrying out voice recognition on the voice information and determining the classroom performance of the user in the current teaching environment according to a voice recognition result.
10. The robot teaching system according to claim 1, wherein the test module is specifically configured to issue at least one test question to the client and receive a question solving result fed back by the client when receiving a test question acquisition instruction sent by the client.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010212241.8A CN111243367A (en) | 2020-03-24 | 2020-03-24 | Robot teaching system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010212241.8A CN111243367A (en) | 2020-03-24 | 2020-03-24 | Robot teaching system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111243367A true CN111243367A (en) | 2020-06-05 |
Family
ID=70875532
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010212241.8A Pending CN111243367A (en) | 2020-03-24 | 2020-03-24 | Robot teaching system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111243367A (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0675518A (en) * | 1992-05-22 | 1994-03-18 | Nec Corp | Education system |
| CN106202453A (en) * | 2016-07-13 | 2016-12-07 | 网易（杭州）网络有限公司 | A kind of multimedia resource recommends method and apparatus |
| CN107705643A (en) * | 2017-11-16 | 2018-02-16 | 四川文理学院 | Teaching method and its device are presided over by a kind of robot |
| CN108182649A (en) * | 2017-12-26 | 2018-06-19 | 重庆大争科技有限公司 | For the intelligent robot of Teaching Quality Assessment |
| CN109191968A (en) * | 2018-10-25 | 2019-01-11 | 重庆鲁班机器人技术研究院有限公司 | Language education robot and more educational robot langue leaning systems |
| CN109817040A (en) * | 2019-01-07 | 2019-05-28 | 北京汉博信息技术有限公司 | A kind of processing system for teaching data |
| CN109841122A (en) * | 2019-03-19 | 2019-06-04 | 深圳市播闪科技有限公司 | A kind of intelligent robot tutoring system and student's learning method |
| CN110176163A (en) * | 2019-06-13 | 2019-08-27 | 天津塔米智能科技有限公司 | A kind of tutoring system |
| CN110211007A (en) * | 2019-04-30 | 2019-09-06 | 宜春宜联科技有限公司 | Job analysis method, system, mobile terminal and storage medium |
-
2020
- 2020-03-24 CN CN202010212241.8A patent/CN111243367A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0675518A (en) * | 1992-05-22 | 1994-03-18 | Nec Corp | Education system |
| CN106202453A (en) * | 2016-07-13 | 2016-12-07 | 网易（杭州）网络有限公司 | A kind of multimedia resource recommends method and apparatus |
| CN107705643A (en) * | 2017-11-16 | 2018-02-16 | 四川文理学院 | Teaching method and its device are presided over by a kind of robot |
| CN108182649A (en) * | 2017-12-26 | 2018-06-19 | 重庆大争科技有限公司 | For the intelligent robot of Teaching Quality Assessment |
| CN109191968A (en) * | 2018-10-25 | 2019-01-11 | 重庆鲁班机器人技术研究院有限公司 | Language education robot and more educational robot langue leaning systems |
| CN109817040A (en) * | 2019-01-07 | 2019-05-28 | 北京汉博信息技术有限公司 | A kind of processing system for teaching data |
| CN109841122A (en) * | 2019-03-19 | 2019-06-04 | 深圳市播闪科技有限公司 | A kind of intelligent robot tutoring system and student's learning method |
| CN110211007A (en) * | 2019-04-30 | 2019-09-06 | 宜春宜联科技有限公司 | Job analysis method, system, mobile terminal and storage medium |
| CN110176163A (en) * | 2019-06-13 | 2019-08-27 | 天津塔米智能科技有限公司 | A kind of tutoring system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107633719B (en) | Anthropomorphic image artificial intelligence teaching system and method based on multi-language human-computer interaction | |
| CN104680859B (en) | Independent study system and usage method | |
| CN106227335B (en) | Interactive learning method for preview lecture and video course and application learning client | |
| CN111833861B (en) | Event evaluation report generation based on artificial intelligence | |
| CN109189535B (en) | Teaching method and device | |
| CN108921749A (en) | A kind of comprehensive English ability training system | |
| CN105679122A (en) | Multifunctional college English teaching management system | |
| CN110009537B (en) | Information processing method, device, equipment and storage medium | |
| CN108831229B (en) | Chinese automatic grading method | |
| CN114429412A (en) | Digital teaching content production system for vocational education | |
| CN109754653A (en) | A kind of method and system of individualized teaching | |
| CN108564833B (en) | Intelligent interactive conversation control method and device | |
| CN105261251A (en) | Interactive education device, method and system | |
| CN111667128B (en) | Teaching quality assessment method, device and system | |
| KR101506885B1 (en) | Apparatus and method for smart management system based on educational media | |
| CN101739852A (en) | Speech recognition-based method and device for realizing automatic oral interpretation training | |
| CN111949870A (en) | Intelligent language learning method based on memory curve and storage medium | |
| CN111967255A (en) | Internet-based automatic language test paper evaluation method and storage medium | |
| CN111243367A (en) | Robot teaching system | |
| CN112133147A (en) | Online automatic teaching and interaction system based on teaching plan and preset question bank | |
| KR100687441B1 (en) | Method and system for evaluation of foring language voice | |
| CN106603479B (en) | Terminal with application is learnt to digital english | |
| CN110852922A (en) | Dynamic scenario-oriented language digital teaching method and system | |
| CN110853428A (en) | Recording and broadcasting control method and system based on Internet of things | |
| KR20000056203A (en) | Language study system by interactive conversation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200605 |