CN112437135A - English teaching system and using method thereof - Google Patents
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- CN112437135A CN112437135A CN202011257457.2A CN202011257457A CN112437135A CN 112437135 A CN112437135 A CN 112437135A CN 202011257457 A CN202011257457 A CN 202011257457A CN 112437135 A CN112437135 A CN 112437135A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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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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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
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Abstract
The invention discloses an English teaching system and a using method thereof, wherein the English teaching system comprises a teacher end, a student end and a cloud server, wherein the teacher end comprises a teaching module, an abnormity reminding module and a first information input module; the teaching module is used for collecting teaching videos by teachers and sending the teaching videos to the cloud server, and the cloud server is used for storing the teaching videos and responding to requests of students; the student end comprises a learning module, a behavior capturing module, a question module, a warning module and a second input module, wherein the warning module is used for receiving a signal transmitted by the abnormal reminding module and reminding the students of abnormal behaviors; the behavior capturing module is used for capturing behavior actions of students in learning in real time and transmitting the behavior actions to the cloud server, and the cloud server is provided with a data analysis module and a data storage module. The system can supervise and remind abnormal behaviors of students during teaching, correct the vague phenomenon of the students in time and ensure high-quality learning.
Description
Technical Field
The invention relates to the technical field of teaching systems, in particular to an English teaching system and a using method thereof.
Background
The students have certain time and independent space attributes, and especially when some irresistible factors occur and the students cannot go to school for learning, the students need to independently learn at home remotely or in certain independent space. The remote lecture learning in the current market is inconvenient to use, and the students in the lower grades still have the phenomena of inattention and the like when learning, and have the defects of inadequate supervision and the like on the students, so that teachers can not correct the vague phenomena of the students in time in the course of lecturing. When students study at home alone, parents worry about the fact that sometimes the parents cannot watch the study condition and the safety condition of the children at home in real time.
Disclosure of Invention
In order to solve the problems in the prior art, an English teaching system and a using method thereof are provided.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the invention provides an English teaching system, which comprises a teacher end, a student end and a cloud server, and is characterized in that the teacher end and the student end are respectively in wireless communication connection with the cloud server, the teacher end comprises a teaching module, an abnormity reminding module and a first information input module, wherein the teaching module is used for collecting teaching videos of a teacher and sending the teaching videos to the cloud server, and the cloud server is used for storing the teaching videos and responding to requests of the student end and sending the teaching videos to the student end; the first information input module is used for inputting basic information of a teacher;
the student end comprises a learning module, a behavior capturing module, a questioning module, a warning module and a second input module, wherein the learning module is used for receiving teaching videos from the cloud server for students to learn, and the questioning module is used for questioning the teacher end about learning problems encountered in learning and transmitting the learning problems to the teacher end through the cloud server; the second information input module is used for inputting basic information of students; the warning module is used for receiving the signal transmitted by the abnormity reminding module and reminding the students of abnormal behaviors;
the behavior capturing module is used for capturing behavior actions of students in learning in real time and transmitting the behavior actions to the cloud server, the cloud server is internally provided with a data analysis module and a data storage module, the data analysis module is used for analyzing and processing data collected by the behavior capturing module and determining whether to send information to the abnormity reminding module of the teacher end or not after analysis and processing; the storage module is used for storing data collected from a teacher end and a student end.
Preferably, still include the head of a family end, the head of a family end is including watching module and inspection module, the head of a family end with establish wireless communication between the high in the clouds server and be connected for remote supervision or the student's study condition of inspection.
The invention provides a using method of an English teaching system, which comprises the following steps:
the method comprises the following steps: the method comprises the steps that data of one or more abnormal behavior indexes of each student are recorded in a cloud server in advance;
step two: a behavior capturing module of a student end collects images of students in class in real time and uploads the images to a cloud server;
step three: the cloud server receives the picture data collected by the behavior capture module, and the data analysis module identifies and analyzes the behaviors of the students and judges whether the behaviors of the students belong to abnormal behaviors;
step four: if the abnormal behavior is judged to belong to, the abnormal behavior is transmitted to the teacher end, the teacher end generates an abnormal action picture in the abnormal reminding module, the teacher watches the abnormal picture, and the teacher end judges whether the intelligent judgment result of the system is correct or not in a manual-assisted manner and clicks to confirm whether the abnormal behavior is abnormal or not; if the abnormality is confirmed, the abnormality reminding module sends the information to the student end through the cloud server, and a warning module of the student end reminds the student to remind the student of recovering to a normal learning state; if not, not confirming; whether the data is confirmed or not, the system respectively counts and records the final processing result and stores the final processing result in the data storage module.
Preferably, the warning module of the student end in the third step adopts floating window reminding or/and sound reminding.
Preferably, the system also comprises a parent supervision, when the parent has time to supervise in real time, the parent end acquires the images of the students in class from the cloud server, and the parents check the learning states of the students in class at any time through the watching module; when the household does not have time for real-time supervision, the abnormal reminding times and reasons of the children in the previous learning process can be known through the checking module, and the parents can conveniently communicate with the children after returning home.
Preferably, the method for acquiring abnormal behavior index data in the first step includes the following steps:
s1: aiming at a certain student, a certain abnormal behavior index of the student is input into a cloud server, the abnormal behavior time of the abnormal behavior index is preset as t1, the training frequency is n, the preset adjusting time is delta t, and the abnormal behavior processing accuracy is preset as a-b%;
s2: training the abnormal behavior judgment to obtain a final reasonable set value t of the abnormal behavior index, wherein the training steps are as follows:
when the data analysis module detects a certain abnormal behavior action and records the time t2 of the abnormal behavior, if t2 is greater than preset t1, the data analysis module judges that the abnormal behavior action is abnormal and transmits an abnormal signal to the teacher end, and the teacher end generates an abnormal picture; the teacher watches the abnormal picture and clicks whether the abnormal picture is abnormal or not; if the abnormal condition exists, the student end gives a prompt to the student to remind the student of recovering the normal learning state; if not, not confirming, and respectively counting and recording the final processing result by the system; repeating the steps till n times to obtain n times of exception handling results;
if the accuracy of the n times of abnormal processing results exceeds b%, the system automatically subtracts a preset adjusting time delta t from the abnormal time t1, if the accuracy does not reach a%, the system automatically adds a preset adjusting time delta t to the abnormal time t1, the training is repeated until the accuracy of the n times of abnormal processing results is between a% and b%, and the final t1 value after repeated addition and subtraction is recorded as a reasonable set value t;
if the processing result is between a% and b%, the preset t1 is the final reasonable setting value t of the abnormal behavior index, and the training is finished.
Compared with the prior art, the invention has the beneficial effects that:
1. the student behavior monitoring system is provided with a teacher end, a student end, a cloud server and a family end, wherein the teacher end, the student end and the parent end are respectively in communication connection with the cloud server, a behavior capture module arranged at the student end collects images of students in class in real time and uploads the images to the cloud server, the cloud server receives picture data collected by the behavior capture module, the data analysis module identifies and analyzes behaviors of the students, and whether the behaviors of the students belong to abnormal behaviors is judged; if the abnormal behavior is judged to belong to, the abnormal behavior is transmitted to the teacher end, the teacher end generates an abnormal action picture in the abnormal reminding module, the teacher watches the abnormal picture, and the teacher end judges whether the intelligent judgment result of the system is correct or not in a manual-assisted manner and clicks to confirm whether the abnormal behavior is abnormal or not; if the abnormality is confirmed, the abnormality reminding module sends the information to the student end through the cloud server, the warning module of the student end reminds the student to remind the student to restore the normal learning state, the system can supervise and remind the abnormal behavior of the student during teaching, correct the distraction phenomenon of the student in time and ensure the high-quality learning of the student; in addition, the arrangement of the household terminal can realize the remote watching and supervision of parents, so that the household can know the learning condition of children and network courses in time.
2. The system can obtain the reasonable time t corresponding to a certain abnormal behavior index under the preset accuracy rate a-b% through continuous training and optimization of the certain abnormal behavior index of the student, sets different index data according to the learning habits of different children, monitors and reminds reasonably and accurately, can facilitate supervision and management, and does not influence the normal teaching order.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a diagram of the system control of the present invention.
Fig. 2 is a schematic structural diagram of a captain terminal, a teacher terminal and a client terminal.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
As shown in fig. 1-2, the english teaching system provided by the present embodiment of the invention includes a teacher end, a student end, and a cloud server, where the teacher end and the student end respectively establish wireless communication connections with the cloud server, and the wireless communication connection mode may adopt wireless networks such as 4G, WiFi.
The teacher end is provided with a camera and a microphone and comprises a teaching module, an abnormity reminding module and a first information input module, wherein the teaching module is used for collecting teaching videos of a teacher and sending the teaching videos to a cloud server, and the cloud server is used for storing the teaching videos, responding to requests of the student end and sending the teaching videos to the student end; the first information entry module is used for entering basic information of the teacher. The student side is also provided with a camera and a microphone, and comprises a learning module, a behavior capturing module, a questioning module, a warning module and a second recording module, wherein the learning module is used for receiving a teaching video from a cloud server for students to learn; the questioning module is used for questioning the teacher end about the learning problems encountered in the learning process and transmitting the questions to the teacher end through the cloud server; the second information input module is used for inputting basic information of students; the warning module is used for receiving the signal transmitted by the abnormity reminding module and reminding the students of abnormal behaviors; the behavior capturing module is used for capturing and analyzing the face and the action of a student by using a camera of the client, providing dynamic analysis for abnormal behaviors of the student for capturing the behavior and the action of the student in learning in real time and transmitting the behavior and the action to the cloud server, the cloud server is internally provided with a data analysis module and a data storage module, the data analysis module is used for analyzing and processing data acquired by the behavior capturing module and determining whether to send information to an abnormal reminding module of a teacher end or not after analysis and processing; the storage module is used for storing data collected from the teacher end and the student end.
Still include the head of a family end, the head of a family end is including watching module and inspection module, establishes wireless communication between head of a family end and the high in the clouds server and is connected for remote supervision or inspection student's study condition.
The teacher end interface is mainly divided into two parts of areas, one part is a teaching area, the other part is a student image area, the teaching area can freely switch learning modes according to the course progress, the student image area mainly displays results after analysis by the data analysis module, and a teacher makes an autonomous judgment to remind students according to real-time student dynamics.
When the client is used for the first time, students, teachers and parents register by adopting passwords and brushing faces, and when the clients are used for the subsequent time, the clients can enter the clients by adopting one of the passwords or the modes of brushing faces.
The parent end mainly has two functions, namely a watching mode, namely watching the learning condition of children at class and the safety condition at home at any time and any place; the main functions of the checking mode are to explain reasons for triggering abnormal reminding to students and the like, so that parents and children can conveniently communicate with each other to learn the problems. The household keeper only has the watching supervision authority and does not have the interference authority on the classroom and children in the learning process, so that the classroom order is guaranteed.
The invention provides a using method of an English teaching system, which comprises the following steps:
the method comprises the following steps: the method comprises the steps that data of one or more abnormal behavior indexes of each student are recorded in a cloud server in advance;
step two: a behavior capturing module of a student end collects images of students in class in real time and uploads the images to a cloud server;
step three: the cloud server receives the picture data collected by the behavior capture module, and the data analysis module identifies and analyzes the behaviors of the students and judges whether the behaviors of the students belong to abnormal behaviors;
step four: if the abnormal behavior is judged to belong to, the abnormal behavior is transmitted to the teacher end, the teacher end generates an abnormal action picture in the abnormal reminding module, the teacher watches the abnormal picture, and the teacher end judges whether the intelligent judgment result of the system is correct or not in a manual-assisted manner and clicks to confirm whether the abnormal behavior is abnormal or not; if the abnormality is confirmed, the abnormality reminding module sends the information to the student end through the cloud server, and a warning module of the student end reminds the student to remind the student of recovering to a normal learning state; if not, not confirming; whether the data is confirmed or not, the system respectively counts and records the final processing result and stores the final processing result in the data storage module.
Preferably, the warning module of the student end in the third step adopts floating window reminding or/and sound reminding.
The system also comprises parent supervision, when the master has time to supervise in real time, the master end acquires images of the students in class from the cloud server, and the parents check the learning states of the students in class at any time through the watching module; when the household does not have time for real-time supervision, the abnormal reminding times and reasons of the children in the previous learning process can be known through the checking module, and the parents can conveniently communicate with the children after returning home.
The method for acquiring abnormal behavior index data in the first step comprises the following steps:
s1: aiming at a certain student, a certain abnormal behavior index of the student is input into a cloud server, the abnormal behavior time of the abnormal behavior index is preset as t1, the training frequency is n, the preset adjusting time is delta t, and the abnormal behavior processing accuracy is preset as a-b%;
s2: training the abnormal behavior judgment to obtain a final reasonable set value t of the abnormal behavior index, wherein the training steps are as follows:
when the data analysis module detects a certain abnormal behavior action and records the time t2 of the abnormal behavior, if t2 is greater than preset t1, the data analysis module judges that the abnormal behavior action is abnormal and transmits an abnormal signal to the teacher end, and the teacher end generates an abnormal picture; the teacher watches the abnormal picture and clicks whether the abnormal picture is abnormal or not; if the abnormal condition exists, the student end gives a prompt to the student to remind the student of recovering the normal learning state; if not, not confirming, and respectively counting and recording the final processing result by the system; repeating the steps till n times to obtain n times of exception handling results;
if the accuracy of the n times of abnormal processing results exceeds b%, the system automatically subtracts a preset adjusting time delta t from the abnormal time t1, if the accuracy does not reach a%, the system automatically adds a preset adjusting time delta t to the abnormal time t1, the training is repeated until the accuracy of the n times of abnormal processing results is between a% and b%, and the final t1 value after repeated addition and subtraction is recorded as a reasonable set value t;
if the processing result is between a% and b%, the preset t1 is the final reasonable setting value t of the abnormal behavior index, and the training is finished.
It should be noted that the degree of interference of the system to students or teachers is reflected by the degree of accuracy a-b% of the exception handling, if the accuracy is low, the misjudgment is more, and the wrong reminding may bring a certain degree of influence on the learning of the students; if the accuracy is high, the misjudgment is less, but the reminding of the non-learning state of the student is delayed and cannot be timely reminded.
Therefore, the user can set the degree of the abnormality processing accuracy rate a-b% according to the situation. However, if training is required to set the accuracy of the exception handling to a-b% each time, a large amount of work is required. Thus, the coordinate values can be determined by a time t versus a-b%, the step of determining the relationship being:
step 1: recording the abnormal time t and the corresponding a-b% in the training process;
step 2: obtaining a relation curve according to the relation between the time t and the a-b%;
and step 3: and finding the corresponding time t from the relation curve according to the required and set a1-b 1%. Thereby obtaining the reminding time t; the system sets time t, namely a processing result of the abnormal processing accuracy rate a1-b 1%.
According to the invention, the teacher end, the student end, the cloud server and the family end are arranged, wherein the teacher end, the student end and the family end are respectively in communication connection with the cloud server, the behavior capture module arranged at the student end collects images of students in class in real time and uploads the images to the cloud server, the cloud server receives picture data collected by the behavior capture module, and the data analysis module identifies and analyzes the behaviors of the students to judge whether the behaviors of the students belong to abnormal behaviors; if the abnormal behavior is judged to belong to, the abnormal behavior is transmitted to the teacher end, the teacher end generates an abnormal action picture in the abnormal reminding module, the teacher watches the abnormal picture, and the teacher end judges whether the intelligent judgment result of the system is correct or not in a manual-assisted manner and clicks to confirm whether the abnormal behavior is abnormal or not; if the abnormality is confirmed, the abnormality reminding module sends the information to the student end through the cloud server, the warning module of the student end reminds the student to remind the student to restore the normal learning state, the system can supervise and remind the abnormal behavior of the student during teaching, correct the distraction phenomenon of the student in time and ensure the high-quality learning of the student; in addition, the arrangement of the household terminal can realize the remote watching and supervision of parents, so that the household can know the learning condition of children and network courses in time.
The system and the method can obtain the reasonable time t corresponding to a certain abnormal behavior index under the preset accuracy rate a-b% through continuous training and optimization of the certain abnormal behavior index of the student, set different index data according to the learning habits of different children, reasonably and accurately monitor and remind, facilitate supervision and management and have no influence on the normal teaching order.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: numerous changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (6)
1. An English teaching system comprises a teacher end, a student end and a cloud server, and is characterized in that the teacher end and the student end are in wireless communication connection with the cloud server respectively, the teacher end comprises a teaching module, an abnormity reminding module and a first information input module, the teaching module is used for collecting teaching videos of a teacher and sending the teaching videos to the cloud server, and the cloud server is used for storing the teaching videos and responding to requests of the student end and sending the teaching videos to the student end; the first information input module is used for inputting basic information of a teacher;
the student end comprises a learning module, a behavior capturing module, a questioning module, a warning module and a second input module, wherein the learning module is used for receiving teaching videos from the cloud server for students to learn, and the questioning module is used for questioning the teacher end about learning problems encountered in learning and transmitting the learning problems to the teacher end through the cloud server; the second information input module is used for inputting basic information of students; the warning module is used for receiving the signal transmitted by the abnormity reminding module and reminding the students of abnormal behaviors;
the behavior capturing module is used for capturing behavior actions of students in learning in real time and transmitting the behavior actions to the cloud server, the cloud server is internally provided with a data analysis module and a data storage module, the data analysis module is used for analyzing and processing data collected by the behavior capturing module and determining whether to send information to the abnormity reminding module of the teacher end or not after analysis and processing; the storage module is used for storing data collected from a teacher end and a student end.
2. The English teaching system of claim 1, further comprising a parent end, wherein the parent end comprises a viewing module and an inspection module, and a wireless communication connection is established between the parent end and the cloud server for remotely supervising or inspecting the learning condition of students.
3. Use of the english teaching system according to any of claims 1 to 2, characterized by comprising the following steps:
the method comprises the following steps: the method comprises the steps that data of one or more abnormal behavior indexes of each student are recorded in a cloud server in advance;
step two: a behavior capturing module of a student end collects images of students in class in real time and uploads the images to a cloud server;
step three: the cloud server receives the picture data collected by the behavior capture module, and the data analysis module identifies and analyzes the behaviors of the students and judges whether the behaviors of the students belong to abnormal behaviors;
step four: if the abnormal behavior is judged to belong to, the abnormal behavior is transmitted to the teacher end, the teacher end generates an abnormal action picture in the abnormal reminding module, the teacher watches the abnormal picture, and the teacher end judges whether the intelligent judgment result of the system is correct or not in a manual-assisted manner and clicks to confirm whether the abnormal behavior is abnormal or not; if the abnormality is confirmed, the abnormality reminding module sends the information to the student end through the cloud server, and a warning module of the student end reminds the student to remind the student of recovering to a normal learning state; if not, not confirming; whether the data is confirmed or not, the system respectively counts and records the final processing result and stores the final processing result in the data storage module.
4. The use method of the English teaching system according to claim 3, wherein the warning module of the student end in the third step adopts floating window reminding or/and sound reminding.
5. The using method of the English teaching system according to claim 3, further comprising a parent supervision, wherein when the parent has time to supervise in real time, the parent end obtains an image of the student in class from the cloud server, and the parent checks the learning state of the student in class through the watching module at any time; when the household does not have time for real-time supervision, the abnormal reminding times and reasons of the children in the previous learning process can be known through the checking module, and the parents can conveniently communicate with the children after returning home.
6. The method for using the English teaching system according to claim 3, wherein the method for acquiring abnormal behavior index data in the first step comprises the following steps:
s1: aiming at a certain student, a certain abnormal behavior index of the student is input into a cloud server, the abnormal behavior time of the abnormal behavior index is preset as t1, the training frequency is n, the preset adjusting time is delta t, and the abnormal behavior processing accuracy is preset as a-b%;
s2: training the abnormal behavior judgment to obtain a final reasonable set value t of the abnormal behavior index, wherein the training steps are as follows:
when the data analysis module detects a certain abnormal behavior action and records the time t2 of the abnormal behavior, if t2 is greater than preset t1, the data analysis module judges that the abnormal behavior action is abnormal and transmits an abnormal signal to the teacher end, and the teacher end generates an abnormal picture; the teacher watches the abnormal picture and clicks whether the abnormal picture is abnormal or not; if the abnormal condition exists, the student end gives a prompt to the student to remind the student of recovering the normal learning state; if not, not confirming, and respectively counting and recording the final processing result by the system; repeating the steps till n times to obtain n times of exception handling results;
if the accuracy of the n times of abnormal processing results exceeds b%, the system automatically subtracts a preset adjusting time delta t from the abnormal time t1, if the accuracy does not reach a%, the system automatically adds a preset adjusting time delta t to the abnormal time t1, the training is repeated until the accuracy of the n times of abnormal processing results is between a% and b%, and the final t1 value after repeated addition and subtraction is recorded as a reasonable set value t;
if the processing result is between a% and b%, the preset t1 is the final reasonable setting value t of the abnormal behavior index, and the training is finished.
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| CN113034322A (en) * | 2021-04-01 | 2021-06-25 | 珠海爱浦京软件股份有限公司 | Internet-based online education supervision system and method |
| CN113095264A (en) * | 2021-04-21 | 2021-07-09 | 淄博职业学院 | Financial management's multimedia training system |
| CN113361924A (en) * | 2021-06-07 | 2021-09-07 | 广州宏途教育网络科技有限公司 | Operation arrangement method for optimizing teaching quality |
| CN113992932A (en) * | 2021-11-01 | 2022-01-28 | 北京高途云集教育科技有限公司 | Information prompting method and device, electronic equipment and readable storage medium |
| CN114512041A (en) * | 2022-02-21 | 2022-05-17 | 重庆第二师范学院 | Teaching action big data analysis device based on panorama is made a video recording |
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