TWI739456B - System for giving score based on distance learning behavior and method thereof - Google Patents

Abstract

A system for giving a score based on distance learning behavior and a method thereof are provided. By capturing a student image by a learning device when the learning device plays a teacher streaming sent from a service device, obtaining a teaching content generated from analyzing the teacher streaming and a learning message generated from the student image by the service device, determining a suitability of the teaching content and the learning message according to a learning mode in correspondence with the teacher streaming, and generating a score in accordance with the suitability, the system and the method can confirm learning status and learning attitude of students when students learning online, and can achieve the effect of letting teachers find students with poor learning behavior.

Description

System and method for scoring based on remote learning performance

A learning scoring system and method, in particular, a system and method for scoring based on remote learning performance.

Online teaching refers to the teaching mode that uses the display device to display the media spread through the Internet, which can break through the boundaries of space, which is different from the traditional teaching mode that requires sitting in the classroom.

The characteristic of online teaching is that there is no need to go to a specific place for class. Therefore, students can take classes anytime and anywhere through a variety of channels such as television, radio, the Internet, and special counseling lines. There are two types of online teaching: synchronous and asynchronous. Synchronous technology transmits media teaching materials to all students online at the same time, while non-synchronous technology allows each student to choose free time to watch media teaching materials.

However, because online teaching does not need to go to a specific place to teach, the teacher and the student are not necessarily in the same place. Therefore, the teacher has no way to discover the learning status and learning attitude of the students through observation. Although in synchronous online teaching, teachers can still obtain images of students, but usually only the faces of students can be observed, and it is not clear whether the students are taking lessons seriously. In addition, when there are a large number of students, teachers cannot quickly confirm the learning status of each student through the screen.

In summary, it can be seen that there has been a long-standing problem in the prior art that teachers cannot confirm the learning status and learning attitude of students when using online teaching. Therefore, it is necessary to propose improved technical means to solve this problem.

In view of the problem in the prior art that teachers cannot confirm students' learning conditions and learning attitudes when students are doing remote learning, the present invention discloses a system and method for scoring based on remote learning performance, in which:

The system for scoring based on remote learning performance disclosed in the present invention at least includes: a learning end for receiving teacher images and playing teacher images, and for capturing student images when playing teacher images; and a server end for Obtain and send teacher images to the learning end, and obtain the teaching content generated by analyzing the teacher images, and to obtain the learning information generated by analyzing the student images, and determine the teaching content and learning information according to the preset learning mode corresponding to the teacher image The matching degree, and the score is generated based on the matching degree.

The method for scoring based on remote learning performance disclosed in the present invention includes at least the steps: the server obtains the teacher image and transmits the teacher image to the learning end; the server obtains the teaching content generated by analyzing the teacher image; the learning end plays the teacher image And capture student images; the server obtains the learning information generated by analyzing the student images; the server judges the matching degree of the teaching content and the learning information according to the preset learning mode corresponding to the teacher's image; the server generates a score based on the matching degree.

The system and method disclosed in the present invention are as above. The difference between the present invention and the prior art is that the server acquires the teaching content generated by analyzing the teacher’s image and analyzes the student’s image after the student’s image is captured when the teacher’s image is played on the learning end. The generated learning information is judged based on the learning mode corresponding to the teacher’s image to determine the matching degree between the teaching content and the learning information, and a score is generated based on the matching degree, so as to solve the problems of the previous technology and achieve rapid detection of poor learning performance The technical efficacy of students.

In the following, the features and implementation of the present invention will be described in detail with the drawings and embodiments. The content is sufficient to enable any person familiar with the relevant art to easily and fully understand the technical means used by the present invention to solve the technical problems and implement them accordingly. The achievable effect of the present invention.

The present invention can give scores according to the content of the teacher's class and the learning status of the students when the students are doing remote teaching (online teaching). The remote teaching mentioned in the present invention includes, but is not limited to, online teaching in the modes of live teaching, remote (video) teaching, and online video courses.

In the following, the system structure of the system for scoring based on the remote learning performance mentioned in the "Figure 1" of the present invention is used to illustrate the operation of the system of the present invention. As shown in "Figure 1", the system of the present invention includes a learning terminal 110 and a server 130, as well as an augmented reality device 120 and a teaching terminal 150 that can be attached. Among them, the learning terminal 110, the augmented reality device 120, the server 130, and the teaching terminal 150 may all be computing devices.

The learning terminal 110 can be connected to the server 130 via a wired network or a wireless network, and can receive data or signals transmitted by the server 130, and can also transmit data or signals to the server 130. The wireless networks mentioned in the present invention include but are not limited to mobile communication networks (cellular networks) such as 4G or wireless local area networks such as WiFi and Zigbee; the wired networks mentioned in the present invention are such as Ethernet.

In some embodiments, the learning terminal 110 may also be connected to the augmented reality device 120 through physical lines such as USB, IEEE 1394 bus, or wireless communication technologies such as IrDA and Bluetooth.

The learning terminal 110 is responsible for receiving the teacher image transmitted by the server 130 and is responsible for playing the received teacher image. The learning terminal 110 is also responsible for synchronously capturing student images through the image capturing module set on the learning terminal 110 or an image capturing device (not shown in the figure) connected to the learning terminal 110 when playing teacher images, that is, While playing the teacher's image, the student's image is captured through the image capture module or the image capture device at the same time. Among them, the learning terminal 110 may continuously capture student images, or may capture student images at regular intervals (such as every ten seconds or every minute, etc.).

In some embodiments, the learning terminal 110 may also receive the analysis instruction message sent by the server 130. If the learning terminal 110 receives the analysis instruction message, the learning terminal 110 may analyze the captured image when the analysis instruction message indicates analysis of the image. The obtained student images can be used to generate learning information, and the generated learning information can be sent to the server 130; and if the analysis instruction message indicates that the image is sent or the image does not need to be analyzed, the learning terminal 110 can send the student image to the server 130 130.

The learning terminal 110 may perform image analysis on student images including but not limited to image recognition (such as block detection, boundary detection, feature extraction) and/or text recognition, etc., and generate learning information based on the results of the image analysis. In more detail, the learning terminal 110 can perform image recognition on the student image, thereby obtaining information such as the student's actions, the location of the textbook and/or notebook from the student image, and generating learning information containing the obtained information. The learning terminal 110 can also further determine whether the student is holding a pen or not based on the student's actions (such as comparing the extracted feature value with the pre-established feature value of the note-taking image, etc.) and adding the judgment result to the learning message, learning The terminal 110 can also perform text recognition on the book/notebook to obtain the text recorded in the book/notebook and add the obtained text to the learning message.

The learning terminal 110 may also receive the exercise message sent by the server 130 and send the received exercise message to the augmented reality device 120. The practice information mentioned in the present invention may include a specific melody or rhythm. In some embodiments, it may also include corresponding instrument identification data, but the present invention is not limited to this. Among them, the musical instrument identification data can be arbitrarily arranged by any number of words, letters, symbols, and numbers, so as to indicate the corresponding musical instrument.

The learning terminal 110 may also receive the playback message sent by the augmented reality device 120, start to record the exercise result when receiving the playback message, and may transmit the recorded exercise result to the server 130. Among them, the learning terminal 110 can capture sound and/or video as the result of the exercise.

The learning terminal 110 may also receive the instruction message sent by the server 130, and may play or display the received instruction message, or may transmit the instruction message to the augmented reality device 120. Wherein, the guidance message mentioned in the present invention may include text, image or voice.

The augmented reality device 120 can be connected to the learning terminal 110 through a physical line or wireless communication technology, and can receive data or signals transmitted by the learning terminal 110, and can also transmit data or signals to the learning terminal 110.

The augmented reality device 120 can receive the exercise information provided by the learning terminal 110, and can play or display the received exercise information. The augmented reality device 120 may also generate a play message when receiving the exercise message, and may send the generated play message to the learning terminal 110. The augmented reality device 120 can also receive the guidance message provided by the learning terminal 110, and can play or display the received guidance message.

The server 130 can be connected to the learning terminal 110 and the teaching terminal 150 through a wired or wireless network, and can send data or signals to the learning terminal 110/teaching terminal 150, and can also receive the data sent by the learning terminal 110/teaching terminal 150 or Signal.

The server 130 is responsible for obtaining teacher images, and is responsible for transmitting the loaded teacher images to the learning end 110. The server 130 can read the teacher's image from the storage medium set therein, or read the teacher's image from an external storage device through a wired or wireless network route, and even the teaching end 150 can receive the media stream as a teacher image.

The server 130 is also responsible for obtaining the teaching content generated by the teacher image obtained by the analysis. The server 130 can first determine whether the teaching content already exists, that is, whether the teacher's image has been analyzed before and the teaching content has been generated. If so, the server 130 can directly read the teaching content; and if the server 130 determines that the teaching content does not exist, that is, the server 130 has not analyzed the teacher's image, the server 130 can perform image analysis on the teacher's image, such as image Recognition and/or text recognition, etc., can also perform audio analysis on teacher images, such as converting audio to text, and can generate teaching content based on the results of audio and image analysis. In more detail, the server 130 can perform image recognition on the teacher's image, so as to obtain the teacher's actions and postures from the teacher's image as the teaching content; the server 130 can also obtain the position of the textbook, the slide and/or the black/white board According to the obtained information, text recognition is performed on textbooks, slides and/or black/whiteboards to obtain teaching information that can be used as teaching content; in addition, the server 130 can also convert the sound in the teacher’s image into text to Generate explanatory messages that can be used as teaching content. In other words, the teaching content generated by the server 130 may include the teacher's actions/postures, the teaching information obtained by text recognition, and/or the explanation information converted from voice, etc., but the present invention is not limited to this. .

The server 130 is also responsible for obtaining learning information generated by analyzing the student images obtained by the learning terminal 110. In more detail, the server 130 can select the learning terminal 110 or the server 130 to analyze the student images according to the system resources of the server 130 and the learning terminal 110 and the network environment of the learning terminal 110 and the server 130. For example, the processing speed of the server 130 can be high enough for the processor of the learning end 110 (for example, the clock is higher than a certain value) and the remaining memory space is large enough (that is, the unused or idle memory capacity is higher than a certain value). ), or when the transmission speed of the uploading server 130 from the learning terminal 110 is insufficient (for example, the bandwidth is lower than a certain value), the server 130 can choose to analyze the student image by the learning terminal 110, that is, it can generate a representation that is analyzed by the learning terminal 110 Image analysis instruction message and send the generated analysis instruction message to the learning terminal 110, and can receive the learning message generated by the learning terminal 110; on the contrary, if the processing speed of the learning terminal 110 is insufficient or the memory is insufficient, or the learning terminal 110 is uploaded If the bandwidth is large enough, the server 130 can also choose to analyze the student images by the server 130, that is, it can generate an analysis instruction message indicating that the image is sent or does not need to analyze the image, and send the generated analysis instruction message to the learning end 110, and can The student image sent by the learning terminal 110 is received, and the received student image can be analyzed to generate learning information. Wherein, the server 130 can perform the analysis of the student image by the above-mentioned learning terminal 110 on the student image to generate learning information.

The server 130 is also responsible for judging the matching degree between the generated teaching content and the learning information generated by the server 130 or the learning terminal 110 according to the learning mode corresponding to the acquired teacher image. Generally speaking, the learning mode is set by the teacher who recorded the corresponding teacher’s video. It varies with the content of the teacher’s video, including the teaching mode explained by writing on the blackboard and/or words, the following mode for teaching body movements, and Students can use their own creativity or operation practice mode, etc. It should be noted that in a teacher video, the learning mode may be changed. For example, the learning mode in the first half of the teacher video is the teaching mode, and the learning mode in the second half is the practice mode.

In more detail, the server 130 can select the matching degree based on whether the learning message contains the same image or text as the teaching content according to the learning mode, or choose the similarity between the student action recorded in the learning message and the teacher action recorded in the teaching content. Judge the degree of matching, etc. For example, the server 130 can select whether the posture/action recorded in the learning message is a predetermined posture/action (such as the posture/action for taking notes) and/or the learning message and teaching content when the learning mode is the teaching mode. The degree of repetition of the recorded text (such as the proportion of the text in the learning message appearing in the teaching content) is used to determine the matching degree, or you can choose the posture recorded in the learning message and the teaching content when the learning mode is the follow mode /The similarity of the action determines the matching degree, but the way the server 130 determines the matching degree is not limited to the above.

The server 130 is also responsible for generating a score based on the matching degree. Generally speaking, the server 130 can perform statistical analysis on multiple matching degrees determined by the same learning terminal 110 on the same teacher image and/or multiple matching degrees determined by different teacher images to generate a score, for example, After calculating the average of multiple matching degrees, use the calculated average as a score, etc.

The server 130 may also adjust the generated score according to the weight corresponding to the teacher image. Wherein, the weight corresponding to the teacher image is preset, which can be set by the teacher who made the teacher image, or the weight of the course/subject to which the teacher image belongs can be inherited (inherited), and the present invention is not limited to this.

The server 130 can also receive the exercise result sent by the learning terminal 110 and send the received exercise result to the teaching terminal 150, and can also receive the instruction message corresponding to the exercise result sent by the teaching terminal 150, and send the instruction message Transmit to the learning terminal 110.

The teaching terminal 150 can be connected to the server 130 via a wired or wireless network, and can transmit data or signals to the server 130, and can also receive data or signals transmitted by the server 130.

The teaching terminal 150 can capture teacher images through an image capture module set on the teaching terminal 150 or an image capture device (not shown in the figure) connected to the teaching terminal 150, and can use the captured teacher images to The format of the stream or file is sent to the server 130.

The teaching terminal 150 may also receive the exercise result sent by the server 130 and generate a guide message corresponding to the exercise result. In more detail, the teaching terminal 150 can input text-based guidance messages through keyboards and other input devices, record voice-based guidance messages through audio receiving modules/devices such as microphones, or record images through image capture modules/devices such as camera lenses. Guidance message of the form. Generally speaking, the guidance message can point out the strengths and weaknesses, weaknesses, and/or directions for improvement in the exercise results.

Next, an embodiment is used to explain the operating system and method of the present invention, and please refer to "Figure 2A" for the flow chart of the method of scoring based on remote learning performance mentioned in the present invention.

First, the student can operate the learning terminal 110 to connect to the server 130. In this embodiment, if the remote teaching mode is an online video course, the student can operate the learning terminal 110 to select the course provided by the server 130, and if the remote teaching mode is live or remote video, the student can The operation learning terminal 110 selects a teacher who is connected to the server 130 by the operation teaching terminal 150, for example, selects a room opened by the teacher or a teacher who is a host/live host.

After the server 130 is connected to the learning terminal 110, the server 130 can obtain the teacher image, and can transmit the obtained teacher image to the learning terminal 110 (step 210). In this embodiment, assuming that the remote teaching mode is remote teaching, the server 130 can locally or remotely load the teaching video of the course selected by the learning terminal 110 (that is, the teacher image mentioned in the present invention). ); If the remote teaching mode is live teaching, the server 130 can receive the teacher images captured by the teaching terminal 150 in real time from the teaching terminal 150.

Similarly, when the server 130 obtains the teacher image, the server 130 can obtain the teaching content generated by analyzing the obtained teacher image (step 220). In this embodiment, assuming that the remote teaching mode is live teaching, the server 130 can analyze the teacher's image to obtain the teacher's actions/postures in the teacher's image, the text (teaching information) in the teacher's image, and/or The voice data (description message) in the teacher’s image is used as the teaching content; and if the remote teaching mode is remote teaching, the server 130 can first determine whether the acquired teaching image has been analyzed before, that is, whether to save it first There is previously generated teaching content. If it is, the server 130 can directly read the previously stored teaching content. If not, the server 130 can obtain the teaching content in a way of live teaching.

In practice, the server 130 can simultaneously transmit the teacher's image to the learning end 110 (step 210) and obtain the teaching content generated by analyzing the teacher's image (step 220). That is to say, in the present invention, the server 130 transmits the teacher's image There is no sequence relationship between the teaching content sent to the learning terminal 110 (step 210) and the server 130 to obtain the teaching content generated by analyzing the teacher's image (step 220).

After the learning terminal 110 receives the teacher image transmitted by the server 130, the learning terminal 110 can play the received teacher image and capture the student image (step 230). In this embodiment, it is assumed that the learning terminal 110 can capture student images every thirty seconds.

After the student image is captured by the learning terminal 110, the server 130 can obtain the learning information generated by analyzing the student image captured by the learning terminal 110 (step 240). In this embodiment, it is assumed that the server 130 can judge by the learning terminal 110 based on the system resources such as the processor performance and memory space of the learning terminal 110 and the server 130, and the network environment such as the bandwidth of the learning terminal 110 uploading the server 130. Or the server 130 analyzes student images. If the server 130 determines that the server 130 analyzes the student images, the learning end 110 can send the student images to the server 130 so that the server 130 can obtain the student's actions and textbooks from the student images. / Or the text in the notebook is used as learning information; and if the server 130 determines that the learning terminal 110 analyzes the student's image, the learning terminal 110 can obtain the student's actions from the student's image and the text in the textbook and/or notebook to do so It is a learning message, and the generated learning message can be sent to the server 130.

After the server 130 obtains the student image captured by the analysis and learning terminal 110 to generate learning information (step 250), the server 130 can determine the matching degree between the teaching content and the learning information according to the learning mode corresponding to the acquired teacher image (Step 261). In this embodiment, if the learning mode is the teaching mode, the server 130 can determine whether the student's action/posture in the learning message is a note-taking calculation based on the degree of overlap between the teaching content obtained at the similar time and the text in the learning message Matching degree; if the learning mode is a follow-up mode, the server 130 can use the similarity between the teacher's actions/postures in the teaching content acquired at similar time and the student's actions/postures in the learning information as the matching degree.

After the server 130 determines the matching degree, it can generate a score according to the determined matching degree (step 265). In this embodiment, it is assumed that the server 130 can calculate the average value of the matching degree determined by the learning information generated by each student image, and can use the calculated average value as the score of the current remote teaching .

In this way, through the present invention, the teacher can understand the learning status of the student during remote teaching, such as the degree of diligence, etc. through the score.

In this embodiment, if the mode of remote teaching is live broadcast or remote video teaching, the present invention can also obtain the teaching content generated by analyzing teacher images on the server 130 as shown in the process of "Figure 2B" ( After step 220), the student can connect the learning terminal 110 and the augmented reality device 120 (step 231), and the server 130 can send practice messages to the learning terminal 110, and the learning terminal 110 can send it to the augmented reality device 120 ( Step 233). In practice, if the learning terminal 110 receives the practice message sent by the server 130 before connecting with the augmented reality device 120, the learning terminal 110 can wait for the connection with the augmented reality device 120 before sending it to the augmented reality device 120.装置120.

When the augmented reality device 120 receives the exercise message, the augmented reality device 120 can simultaneously send a synchronization message to the learning terminal 110 and display the exercise message (step 235), so that when the augmented reality device 120 displays the exercise message, That is, when the learning terminal 110 receives the synchronization message, it synchronously starts to capture student images containing the exercise results, and can transmit the captured student images to the server 130 (step 237). In this embodiment, assuming that the exercise information includes music scores and instrument identification data, students can wear the augmented reality device 120. The augmented reality device 120 can virtually display the corresponding musical instrument based on the instrument identification data. The music score displayed by the augmented reality device 120 is played by the virtual instrument displayed by the augmented reality device 120. The augmented reality device 120 can play corresponding sounds according to the students’ playing actions, so that the learning terminal 110 can continuously capture A student image containing the results of the practice of the posture/action (or sound) of the student playing the virtual instrument.

After the server 130 receives the student image containing the exercise result sent by the learning terminal 110, the server 130 can obtain the guidance message corresponding to the exercise result (step 241). In this embodiment, it is assumed that the server 130 can transmit the received exercise results to the teaching terminal 150, the teaching terminal 150 can play the received exercise results for the teacher to watch, and can provide the teacher to operate the teaching terminal 150 to input or record The instruction message corresponding to the exercise result, the teaching terminal 150 may also send the instruction message to the server 130, so that the server 130 can obtain the instruction message.

After the server 130 obtains the guidance information, the obtained guidance information can be sent to the learning end 110, so that the learning end 110 plays or displays the received guidance information (step 245), or sends the guidance information to the augmented reality. The environment device 120 plays or displays.

In summary, it can be seen that the difference between the present invention and the prior art is that it has a learning end that captures student images when playing teacher images, and the server obtains the teaching content generated by analyzing teacher images and the learning generated by analyzing student images. According to the learning mode corresponding to the teacher’s image, the matching degree between the teaching content and the learning information is judged, and the technical means to generate the score based on the matching degree. This technical means can solve the problem that the teacher cannot perform remotely on the students with the previous technology. Identify the problems of students' learning conditions and learning attitudes during learning, and then achieve the technical effect that allows teachers to effectively find students with poor learning performance.

Furthermore, the method of scoring based on remote learning performance of the present invention can be implemented in hardware, software, or a combination of hardware and software, and can also be implemented in a centralized manner in a computer system or distributed among several interactive components with different components. The decentralized way of connecting the computer system is realized.

Although the embodiments of the present invention are disclosed as above, the content described is not intended to directly limit the scope of patent protection of the present invention. Anyone with ordinary knowledge in the technical field to which the present invention belongs, without departing from the spirit and scope of the present invention, makes some modifications to the mode and details of the implementation of the present invention, all of which belong to the patent protection of the present invention. Scope. The scope of patent protection of the present invention shall still be determined by the scope of the attached patent application.

110: learning end 120: Augmented Reality Device 130: server 150: teaching end Step 210: The server obtains the teacher's image and sends the teacher's image to the learning end Step 220: The server obtains the teaching content generated by analyzing the teacher's image Step 230: The learning terminal plays the teacher's image and captures the student's image Step 231: Connect the learning terminal and the augmented reality device Step 233: The server sends a practice message to the learning terminal, and the learning terminal sends a practice message to the augmented reality device Step 235: When the augmented reality device receives the exercise message, it sends a synchronization message to the learning end, and plays or displays the exercise message Step 237: The learning end records the results of the exercise when receiving the synchronization message and sends it back to the server Step 241: The server obtains the guidance message corresponding to the exercise result Step 245: The server sends a guide message to the learning terminal to play or display Step 250: The server obtains the learning information generated by analyzing student images Step 260: The server judges the matching degree of the teaching content and the learning information according to the learning mode corresponding to the teacher's image Step 270: The server generates a score based on the matching degree

Figure 1 is a diagram of the system architecture for scoring based on remote learning performance according to the present invention. Figure 2A is a flow chart of the method for scoring based on remote learning performance according to the present invention. Figure 2B is a flowchart of the method for remote learning combined with augmented reality according to the present invention.

Step 210: The server obtains the teacher's image and sends the teacher's image to the learning end

Step 220: The server obtains the teaching content generated by analyzing the teacher's image

Step 230: The learning terminal plays the teacher's image and captures the student's image

Step 250: The server obtains the learning information generated by analyzing student images

Step 260: The server judges the matching degree of the teaching content and the learning information according to the learning mode corresponding to the teacher's image

Step 270: The server generates a score based on the matching degree

Claims (8)

A method for scoring based on remote learning performance. The method includes at least the following steps: a server obtains a teacher image and transmits the teacher image to a learning end; the server obtains a teaching content generated by analyzing the teacher image; The learning end plays the teacher image and captures a student image; the server obtains a learning message generated by analyzing the student image; the server selects a learning mode corresponding to the teacher image according to a preset setting in the learning message Whether the recorded posture/action is a predetermined posture/action and/or the degree of repetition between the learning message and the text recorded in the teaching content Determine the matching degree between the teaching content and the learning message, or choose based on the learning message The similarity with the posture/action recorded in the teaching content determines the matching degree; and the server generates a score according to the matching degree. The method for scoring based on remote learning performance as described in claim 1, wherein the step of obtaining the learning information generated by analyzing the student image by the server further includes the server based on the system resources of the server and the learning end And the network environment of the learning end and the server is selected by the learning end or the server to analyze the student image to generate the learning information. The method for scoring based on remote learning performance as described in claim 1, wherein the step of obtaining the teaching content generated by analyzing the teacher image by the server is to read the teaching content when the server determines that the teaching content already exists , And the step of analyzing the teacher's image to generate the teaching content when it is judged that the teaching content does not exist. The method for scoring based on remote learning performance as described in claim 1, wherein the method further comprises connecting a learning terminal with an augmented reality device, and the augmented reality device sends a synchronization message to the learning terminal and displays the The server sends an exercise message to the learning terminal. The learning terminal records an exercise result when receiving the synchronization message and sends the exercise result to the server. The server obtains a guidance message corresponding to the exercise result and Steps of sending the guidance message to the learning terminal, and playing or displaying the guidance message on the learning terminal. A system for scoring based on remote learning performance. The system at least includes: a learning end for receiving a teacher image and playing the teacher image, and for capturing a student image when the teacher image is played; and a The server is used to obtain and send the teacher's image to the learning end, and obtain a teaching content generated by analyzing the teacher's image, and to obtain a learning message generated by analyzing the student's image, and according to the preset setting and the The teacher’s image corresponds to a learning mode selection based on whether the posture/action recorded in the learning message is a predetermined posture/action and/or the degree of repetition between the learning message and the text recorded in the teaching content to determine the teaching content and one One of the matching degrees of the learning information or selection is based on the similarity between the learning information and the posture/action recorded in the teaching content to determine the matching degree, and a score is generated based on the matching degree. The system for scoring based on remote learning performance as described in claim 5, wherein the server is further used to select the system resources based on the system resources of the server and the learning terminal and the network environment of the learning terminal and the server. The learning end or the server analyzes the student image to generate the learning information. For the system for scoring based on remote learning performance as described in claim 5, the server reads the teaching content when judging that the teaching content already exists, and analyzes the teacher image to generate the teaching content when judging that the teaching content does not exist Teaching content. The system for scoring based on remote learning performance as described in claim 5, wherein the system further includes an augmented reality device connected to the learning terminal for displaying an exercise message sent by the server to the learning terminal And send a synchronization message to the learning end, so that the learning end will record an exercise result when receiving the synchronization message and send the exercise result to the server, and the server is used to obtain a guide corresponding to the exercise result Message and send the guidance message to the learning terminal to play or display.

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