TWI715079B - Network learning system and method thereof - Google Patents

Abstract

A network learning system includes a host being coupled to a first user end and a second user end. A processor of the host end is configured to perform the following steps of: storing original lesson information being sent from the first user end in which the original lesson information has a plurality of content sections; selecting the content sections to form adaptive lesson information based on a learning condition of the second user end; sending the adaptive lesson information to the second user end so that an output device of the second user end outputs the adaptive lesson information based on a view of a simulated space; when the output device of the second user end outputs the adaptive lesson information, recording a value from an input device of the second user end.

Description

Network teaching system and network teaching method

This case relates to a computer system and method, particularly a computer system and method for establishing a virtual teaching environment through a network connection.

Although traditional teaching in physical classrooms can intuitively operate the activities in the course, it is also limited by time and place. Although the online learning platform of conventional technology has improved the time and place constraints, its teaching content is still mostly non-adjustable audio-visual courses, and most of them lack an effective learning effect evaluation mechanism, practical operation mechanism and other learner interaction mechanisms. In addition, most conventional technologies do not consider the impact of the user's hardware capability limitations on the user's learning effect.

In order to solve the aforementioned problems, this case proposes the following implementation aspects.

An implementation aspect of this case is about a network teaching system. The network teaching system at least includes a host terminal, which is coupled to a first client terminal and a second client terminal. The host side includes a memory and a processor, and the memory and the processor are coupled to each other. The memory is used for storing at least one command. The processor is used to access the at least one command to execute: store an original course information from the first client, wherein the original course information includes a plurality of segmented content; select the at least one instruction according to a learning condition of the second client The segmented contents are used to generate a first suitable course information; the first suitable course information is transmitted to the second client, so that an output device of the second client is based on a first perspective in a first virtual space Outputting the first suitable course information; and when the output device of the second client terminal outputs the first suitable course information, recording a value of an input device of the second client terminal.

Another implementation aspect of this case relates to an online teaching method. The network teaching method is executed by a host. The network teaching method includes at least the following steps: storing an original course information transmitted from a first client, wherein the original course information includes plural segment content; selecting the segments according to a learning condition of the second client Content to generate a first adapted course information; transmit the first adapted course information to the second client, so that an output device of the second client outputs the second according to a first perspective in a first virtual space A suitable course information; and when the output device of the second client terminal outputs the first suitable course information, a value of an input device of the second client terminal is recorded.

Therefore, according to the aforementioned implementation aspects of this case, this case provides at least one network teaching system and network teaching method, which can effectively adjust the course content according to the learning conditions of each user, and then provide the course content to the user through the virtual classroom.

The following will clearly illustrate the spirit of this case with diagrams and detailed descriptions. Anyone with ordinary knowledge in the technical field can change and modify the technology taught in this case after understanding the embodiments of this case, which does not depart from the case. Spirit and scope.

Regarding the "first", "second", etc. used in this article, they do not specifically refer to the order or sequence, nor are they used to limit the present case. They are only used to distinguish elements or operations described in the same technical terms.

Regarding the "coupling" or "connection" used in this article, it can mean that two or more elements or devices are in direct physical contact with each other, or indirectly in physical contact with each other, or two or more elements or devices are in mutual physical contact Operation or action.

Regarding the "include", "include", "have", "contain", etc. used in this article, they are all open terms, meaning that the referred options are included but not limited to these options.

Regarding the directional terms used in this article, such as: up, down, left, right, front or back, etc., only refer to the directions of the attached drawings. Therefore, the directional terms used are used to illustrate but not to limit the case.

Refer to Figure 1, which is a schematic diagram of a network teaching system based on some embodiments of the present application. As shown in FIG. 1, in some embodiments, the network teaching system NS includes a host terminal 100, and the host terminal 100 includes at least a memory 110, a processor 120, and a communication device 130. The memory 110 and the processor 120 are electrically/communicatively coupled to each other, and the processor 120 and the communication device 130 are electrically/communicatively coupled to each other. In some embodiments, the memory 110 and the processor 120 of the host side 100 may be arranged at the same place to form a server, or may be arranged at different places to form a cloud computing device.

It should be understood that the aforementioned “electrical coupling” or “communication coupling” may refer to physical or non-physical coupling. For example, in some embodiments, the processor 120 may be coupled to the memory 110 by a wireless communication standard. In still other embodiments, the processor 120 may be coupled to the memory 110 via a physical circuit. With the aforementioned coupling method, the memory 110 and the processor 120 can exchange messages in two directions.

In some embodiments, the memory 110 may include, but is not limited to, flash memory, hard disk (HDD), solid state drive (SSD), dynamic random access memory (DRAM), and static random access One or a combination of memory (SRAM). In some embodiments, as a non-transitory computer-readable medium, the memory 110 can store at least one computer-readable command for the processor 120 to access.

In some embodiments, the processor 120 includes, but is not limited to, a single processor or an integration of multiple microprocessors, such as a central processing unit (CPU), a graphics processing unit (GPU), or a special application circuit (ASIC). In some embodiments, the processor 120 can access from the memory 110 and execute computer-readable instructions to run at least one application program so that the host terminal 100 can realize its functions. In order to better understand this case, the application program run by the processor 120 will be explained in detail in the following paragraphs.

In some embodiments, the communication device 130 includes, but is not limited to, a router, a gateway, etc., which can connect the processor 120 to a network to transmit/filter/encrypt/decrypt/inform, so that other devices in the network can communicate with other devices in the network. The processor 120 can perform one-way/two-way message exchange.

As shown in Figure 1, in some embodiments, the network teaching system NS includes a plurality of client terminals 200 to 600, which are electrically/communicatively coupled to the host terminal 100, and the communication device 130 and the processor 120 perform a single operation. / Two-way message exchange. In some embodiments, the hardware configuration of the client 200-600 includes memory 210-610, processor 220-620, communication device 230-630, input device 240-640, and output device 250-650, but this case does not Not limited to this.

In some embodiments, the functions of the memories 210 to 610 and the processors 220 to 620 are similar to the memory 110 and the processor 120 of the host side 100, and the processors 220 to 620 can access and execute the computer from the memories 210 to 610 The instructions can be read to run the application program, so that the client 200~600 can realize its functions. In some embodiments, the communication devices 230 to 630 include but are not limited to a network interface card for connecting to a network that can access the host terminal 100.

In some embodiments, the input devices 240 to 640 may include, but are not limited to, a mouse, a keyboard, a writing pad, a touch display, a microphone, an inertial detector, a brain wave detector, an optical sensor, a camera, a thermometer, Hygrometer, human body sensor, game controller, etc. The input devices 240-640 are respectively coupled to the processors 220-620, and can be used to input external information into the processors 220-620. In some embodiments, the output devices 250-650 may include, but are not limited to, displays, touch displays, speakers, earphones, vibration devices, tactile simulators, odor generators, temperature controllers, humidity controllers, game controllers, etc. The output devices 250-650 are respectively coupled to the processors 220-620, and can be used to output information to the outside according to instructions of the processors 220-620.

In some embodiments, each unit in the user terminal 200 to 600 can be set in a confined/semi-closed space, and the input devices 240 to 640 and the output devices 250 to 650 are combined into a simulated environment output/input device, for example, in a space It integrates a variety of input/output devices as head-mounted displays (HMD) and corresponding controllers. This setting can provide users with multiple sensory data transmission and reproduction, thereby realizing augmented reality (AR) and virtual reality (VR), Mixed Reality (MR) and other virtual environments of immersive experience.

To facilitate a better understanding of this case, please refer to Figures 2A~2B of this case. Figures 2A to 2B are partial schematic diagrams of a network teaching system based on some embodiments of this case.

In some embodiments, the hardware configuration of the client 400 is as shown in FIG. 2A. The computer host H1 of the client 400 is provided with a memory 410 and a processor 420 as shown in FIG. 1. The input device 440 shown in FIG. 1 includes at least a set of cameras 240a and a pair of game controllers 240b. The output device 450 shown in FIG. 1 includes at least a head-mounted display 450a. According to the hardware configuration of the client 400 shown in FIG. 2A, the user of the client 400 can operate the client 400 in a standing posture.

In some embodiments, the hardware configuration of the client 500 is as shown in FIG. 2B. The computer host H2 of the client 500 is provided with a memory 510 and a processor 520 as shown in FIG. 1. The input device 540 shown in FIG. 1 is, for example, a touch screen 540a, a handwriting pad, a stylus 540b, a controller, or a keyboard with input and display functions. The output device 550 shown in FIG. 1 is, for example, a head-mounted display 550a. The head-mounted display 550a may be an Augmented Reality (AR) head-mounted display or glasses to present virtuality and reality. The combination of information superimposes computer information into the real world. Alternatively, the head-mounted display 550a may be a virtual reality (Virtual Reality, VR) head-mounted display or glasses, which is first produced to generate a virtual environment, and the user (operator) of the user terminal 500 can borrow The input device 540 shuttles or interacts in this virtual environment. According to the hardware configuration of the client 500 shown in FIG. 2B, the user of the client 500 can operate the client 500 in a sitting posture.

Roughly speaking, the network teaching system NS is used to operate a collaborative learning (Collaborative Learning) platform that integrates virtual and real, centered on the host side 100, and through the network and the client side 200~600 cooperative operation, can provide virtual classrooms Multiple users (for example, learners and lecturers from all over the world). The modular learning process of the virtual classroom allows users to participate in synchronized/non-synchronized courses.

Refer to Figure 3, which is a flow chart of the network teaching method based on some embodiments of this case. As shown in FIG. 3, in some embodiments, the network teaching method can be implemented by the cooperative operation of the host terminal 100 and the client terminals 200 to 600 in the embodiment in FIG. 1, and the embodiment in FIG. 1 can be referred to together.

It should be understood that the user terminals 200 to 600 in the network teaching system NS are optionally suitable for different users, and these users have different role identities in the virtual classrooms, including at least: (1), Learner ): the person being taught in the virtual classroom; (2) Content Provider: the person who designs, plans and publishes the content of the teaching material in the virtual classroom; (3), the moderator: the master of the virtual classroom , Arrange classroom time and control the classroom process; (4) Facilitator: the facilitator of the virtual classroom, assisting the leader to lead the learners and answer questions. But this case is not limited to this. In some embodiments, the user identities of the clients 200 to 600 have been registered in the network teaching system NS, and are stored by the storage device (for example, the memory 110) of the host 100. The user of the user end 200 may be a content provider, the user of the user end 300 may be the leader, the user of the user end 400 may be a promoter, and the users of the user end 500 and the user end 600 may be learners.

It should be noted here that each user can operate the processors 220~620 of the client 200~600 respectively, and the processors 220~620 of the client 200~600 can be connected to the host terminal through the communication device 230~630 respectively. 100's communication device 130. For the convenience of reading, the following description of "the client 200~600 is connected to the host 100" can be understood as "the connection between the client and the processor of the host via the communication device", and the details of these communication devices and the The connection relationship between these processors and the information transfer process.

In detail, the network teaching method shown in Figure 3 is the application program described in the embodiment in Figure 1, which is mainly accessed by the processor 120 and executed by the computer readable instructions in the memory 110. , The detailed steps are as follows.

S1: Store the original course information from the first client, where the original course information includes plural segmented content.

In some embodiments, the content provider can operate the user terminal 200 to design/arrange at least one course, and the course includes a plurality of interrelated multi-level contents. For example, a machine operation practice course, which contains at least the following modularized segmented content (also called activities): (A), check before start, segment length is 4 minutes; (B), start machine, divided Section length is 4 minutes; (C), setting material, section length is 4 minutes; (D), processing material, section length is 16 minutes; (E), finished product inspection, section length is 10 minutes; (F), turn off the machine Stage, segment length is 2 minutes. The full length of this course is 40 minutes, for users to learn to use specific machines to execute specific processing procedures. In some embodiments, each segmented content is optionally configured with sub-activities of unequal length.

In some embodiments, this course (or each segmented content) may correspond to a specific I/O device. For example, a machine operation practice course, which contains at least the following versions: (A), the physical tool version, using the physical parts of the machine, hexagonal wrenches, screws and other tools to enable users to operate the physical objects in the simulation classroom; (B) , Fine operation version, using game controllers, cameras and human sensors, etc., to enable users to intuitively operate virtual objects in the simulated classroom; (C), simplified simulation version, using a mouse and keyboard, etc., to enable users in the simulated classroom Operate virtual objects in simulation mode. These versions of this machine operation practice course can also be understood as plural levels of content.

In some embodiments, the memory 210 of the client 200 can store training courses about the machine operation, the client 200 can upload information about the machine operation training courses to the host 100, and the processor 120 of the host 100 can Store information about the operation practice course of this machine in a storage device (for example, the memory 110). In some embodiments, a storage device (for example, the memory 110) can store a variety of course information uploaded by different content providers through a process similar to the foregoing.

S2: Select the segmented content according to the learning conditions of the second client to generate suitable course information.

In some embodiments, the learner can actively request the host 100 to arrange a single course. For example, the user of the user terminal 500 can operate the input device 540 to control the user terminal 500 to connect to the host terminal 100. The user of the user terminal 600 can operate the input device 640 to control the user terminal 600 to connect to the host terminal 100. The host 100 can transmit the recommended course list to the client 500 and the client 600. The client 500 and the client 600 can transmit the scheduling request to the host 100 according to the recommended course list, so as to request the virtual classroom to be opened at a specific time in the future to independently perform the machine operation practice course.

In other embodiments, the learner can actively request the host 100 to arrange a multi-person course. For example, a user of the user terminal 500 can connect the user terminal 500 to the host terminal 100. If there is a virtual classroom online that is teaching this machine operation practice course, the client 500 can directly (or apply to the leader) to join the virtual classroom.

In still other embodiments, learners can passively join a multi-person course. For example, the user of the user terminal 300 operates the input device 340 to control the user terminal 300 to connect to the host terminal 100. The user terminal 300 as the leader arranges to open the virtual classroom at a specific time in the future to conduct the machine operation practice course. The client 300 can transmit a course invitation to the client 400~600 to invite users of the client 400~600 to enter the virtual classroom at a specific time to perform a multiplayer connection machine operation practice course. Users of client 400~600 can operate client 400~600 to accept/reject this course invitation. If the user of the client 400~600 accepts this course invitation, the user can operate the client 400~600 to join this virtual classroom at a specific time.

In some embodiments, the host terminal 100 may dynamically select at least one segmented content in a specific course according to the user's learning conditions to generate course information suitable for the user.

In some embodiments, this learning condition is the user's learning time. The host terminal 100 can sort and adjust the hierarchical content in the machine operation practice course according to the user's learning time, thereby generating a course suitable for the user. For example, users from 400 to 600 on the client side can define their learning time (for example, 26 minutes), and the host side 100 can reorganize and match the user-friendly content according to the segmented content (B), (C), (D), and (F). Machine operation practice courses to facilitate users to learn simplified courses in a limited time. For another example, users of the user end 400~600 can define the course content they are interested in (for example, processing segment), and the host end 100 can reorganize and adapt to the user according to the segment content (C), (D), (E) The machine operation practice course is convenient for users to learn the courses they are more interested in. For another example, if the segmented contents (A) to (F) each include plural sub-activities, the host terminal 100 can sort and reorganize the sub-activities to generate a machine operation practice course suitable for the user. However, the method of dynamically adjusting the curriculum in this case is not limited to this.

In some embodiments, this learning condition is the user's hardware configuration. The host terminal 100 can sort and adjust the hierarchical content of the machine operation practice courses according to the hardware configuration of the client terminals 400 to 600, thereby generating courses suitable for users. For example, the input device 440 of the user terminal 400 includes a game controller, a camera, and a human sensor, and the host terminal 100 can generate a machine operation practice course suitable for the user according to the version (B). For another example, the input device 640 of the user terminal 600 is a mouse and a keyboard, and the host terminal 100 can generate a machine operation practice course suitable for the user according to the version (C). In some embodiments, the host terminal 100 may separately adapt courses composed of different hierarchical content combinations for multiple users who join the same virtual classroom. For example, if the client 400 and the client 500 join the same virtual classroom, but the hardware configuration level of the client 400 is higher and the hardware configuration level of the client 500 is lower, the host 100 can serve the client 400 and the user for the same course. Terminal 500 provides versions with different hardware operations. However, the method of dynamically adjusting the curriculum in this case is not limited to this.

In addition, it should be noted that the learning conditions are not only the learning time or the user's hardware configuration, but also the number of people (when some levels of content require multiple people to learn, or only one person, you can only choose single Learning content). Or, the learning condition can be the scope of activity (when some operation activity content requires a larger activity space, if the user's space is not large enough, only other levels of content can be used). Or, the learning conditions are, for example, network conditions (when certain content requires smooth network transmission, if the user's live network signal is not good, they can only use other levels of content) and so on.

S3: Transmit the first adapted course information to the second client, so that the output device of the second client outputs the adapted course information according to the perspective in the virtual space.

In some embodiments, after the host terminal 100 generates the course information suitable for the user, the course information suitable for the user can be transmitted to the user terminals 300 to 600 respectively. The user terminals 300-600 can output at least one screen through their output devices 250-650 (for example, a head-mounted display), and the at least one screen corresponds to a viewing angle in the virtual classroom. In some embodiments, the screens displayed by the output devices 250-650 of the user terminals 300-600 correspond to different viewing angles in the virtual classroom, respectively.

In some embodiments, users (including leaders, facilitators, and learners) at the user end 300 to 600 have a virtual avatar in the virtual classroom. The appearance of the avatar can be preset by the system or by the user. set up. When users at the user end 300~600 watch the scene in the virtual classroom through the output device 350~650 (for example, the display in the head mounted display), the user can see the avatars of other users and/or specific parts of their avatars (for example, : Limbs).

In order to better understand this case, please refer to Figure 4 of this case. Figure 4 is a partial schematic diagram of a simulated environment drawn based on some embodiments of the present case. In some embodiments, the user of the user terminal 600 can view the scene V1 through the output device 650, and the scene V1 is drawn according to the perspective corresponding to the user's avatar in the virtual classroom. As shown in Figure 4, the user can see the left hand LH and right hand RH of his avatar in the scene V1. As shown in Figure 4, users can also see avatars A1~A3 corresponding to other users in the scene V1. During the course, the user of the user terminal 600 can watch the actions of the avatars A1~A3 of other users in the scene V1.

S4: When the output device of the second client terminal outputs suitable course information, record the value of the input device of the second client terminal.

In some embodiments, when the course is in progress, the input devices 340-640 of the user terminal 300-600 can detect various physical values, including surrounding environment values or values obtained by the user terminal, such as human sensors or The inertial detector can detect the moving coordinates, angle, speed, touch force, or gesture/finger angle of the user's body parts (extremities, torso, head). The detection of the surrounding environment values can be used, for example, to detect temperature with a thermometer, to detect humidity with a hygrometer, to detect sound with a microphone, and to detect depth, brightness, chroma, etc. with a camera or photosensitive element. The user end 300~600 can transmit these physical values to the host end 100, whereby the host end 100 can obtain the user's actions, and reflect these actions on the user's avatar, so that the users in the virtual classroom can see other The user's actions, and then understand the operation of others. The leader and facilitator can observe the learner's operating conditions to determine the speed of the course or the order of the course content. In some embodiments, the host 100 may store the physical values in a storage device (for example, the memory 110).

In some embodiments, the input devices 340-640 (for example, a human body sensor or an inertial detector) of the user terminal 300-600 can detect a variety of biological values. For example, a brain wave detector can detect a user The microphone can detect the user’s voiceprint, the camera can detect the user’s eye tracking, or the heart rate detector can detect the user’s heartbeat, etc. The user end 300~600 can transmit these electrical values to the host end 100, and the processor 120 of the host end 100 can execute an analysis program to analyze the values of the users to generate course reports about the users (for example, graphical report). For example, high-frequency voice discussions may indicate that the user has a higher degree of interaction, and active brain wave changes may indicate that the user has a higher degree of concentration. In some embodiments, the host 100 may store the biological values in a storage device (for example, the memory 110).

In some embodiments, users of the user end 300~600 can access the course report from the host end 100 immediately/after class to help class participants (including the leader, facilitator, and learner) understand each user’s The learning status, so that the leader and facilitator can adjust the content or provide assistance. In some embodiments, the user of the client 200 (ie, the content provider) can also access the course report from the host 100 to determine whether the machine operation practice course can be improved. The user of the user terminal 200 can transmit the modified machine operation practice course to the host terminal 100 through the user terminal 200, so that the host terminal 100 can update the content of the machine operation practice course in the storage device.

In some embodiments, according to the physical values and the biological values, the processor 120 may generate a course record. The course record is a visual-audio record that reproduces the user through the user’s avatar Actions and interactions. In this way, learners who need to review the course or learners who have not participated in the course can interact with other users by playing the course record. It should be understood that, in some embodiments, the user can operate his client to optionally play the course records in the following three modes: (1) The identity of the class observer, which allows the user to observe each user in the virtual classroom from various angles The actions of the avatar of the user; (2) The identity of the new learner, which allows the user to use his avatar to join the virtual classroom to perform activities in the course; (3), replace the identity of other users, this identity can be used by the user Replace the avatars of other users and join the virtual classroom to actually operate the activities in the course and interact with other users from the perspective of this user avatar.

In some embodiments, the course record has a plurality of segments, corresponding to each segment content in the machine operation practice course. Users of the client 200~600 can operate the client 200~600 to replay a specific segment in the course record to save replay time.

In some embodiments, the processor 120 may input the physical values and the biological values into a machine learning program based on a specific algorithm, such as a reinforcement learning algorithm. This machine learning program can generate plural role models (including leader, facilitator, learner, etc.) corresponding to each role identities in the virtual classroom, and train and optimize these models according to the subsequent collected values. In some embodiments, the processor 120 may generate corresponding robot avatars based on the role models to join other users' virtual classrooms. The robot avatars may simulate specific role functions to conduct courses and interact with other users. In some embodiments, the processor 120 may operate specific electronic/mechanical devices according to the role models. For example, the character model generated according to the machine operation practice course can be used to control the robot arm so that the robot arm simulates the user's actions to operate the machine.

It should be noted that although the host terminal 100 and the client terminals 200 to 600 in the foregoing embodiment include multiple hardware components, the present case is not limited to this. In some embodiments, the host 100 and the client 200~600 may refer to software or firmware running on these hardware components (especially processors), which are stored in at least one non-transitory computer readable medium ( For example: the memory 110~610), but it can implement the functions of the host side 100 and the client side 200~600 described above.

In the foregoing embodiment, the network teaching system NS (including the host terminal 100 and the client terminal 200-600) of this case has multiple functional blocks or modules. Those skilled in the art should understand that, in some embodiments, preferably, these functional blocks or modules can be implemented by circuits (including dedicated circuits or general circuits operating under one or more processors and coded instructions). Generally speaking, the circuit may include a transistor or other circuit elements, configured in the manner in the foregoing embodiment, so that the circuit can operate according to the functions and operations described in this case. Further, the functional blocks in the circuit or the cooperation program between the modules can be implemented by a specific compiler (compiler), for example, a register transfer language (RTL) compiler. However, this case is not limited to this.

It can be seen from the foregoing implementation of this case that, by providing an online learning system and method, the embodiments of this case can effectively adjust the content of the course according to the learning time, hardware configuration, number of people, range of activities, or network conditions of each user. And through the virtual classroom to provide course content. This system and method can also collect user values in the course to train robot learners or directly control other electronic/mechanical devices.

Although this case is disclosed as above with examples, it is not intended to limit the case. Anyone who is familiar with this technique can make various changes and modifications without departing from the spirit and scope of this case. Therefore, the scope of protection of this case should be attached hereafter. The scope of patent application shall prevail.

NS: Network Teaching System 100: host side 200, 300, 400, 500, 600: client 110, 210, 310, 410, 510, 610: memory 120, 220, 320, 420, 520, 620: processor 130, 230, 330, 430, 530, 630: communication device 240, 340, 440, 540, 640: input device 250, 350, 450, 550, 650: output device H1, H2: computer host 240a: camera 240b: Game controller 540a: handwriting board 540b: Stylus 450a, 550a: head-mounted display S1~S4: Step process V1: Vision LH: Left hand RH: Right hand A1~A3: Avatar

The content of the present invention can be better understood with reference to the implementation in the subsequent paragraphs and the following drawings: Figure 1 is a schematic diagram of a network teaching system based on some embodiments of this case; Figure 2A is a partial schematic diagram of a network teaching system based on some embodiments of this case; Figure 2B is a partial schematic diagram of a network teaching system based on some embodiments of this case; Figure 3 is a flowchart of a network teaching method based on some embodiments of this case; and Figure 4 is a partial schematic diagram of a simulated environment drawn based on some embodiments of the present case.

NS: Network Teaching System 100: host side 200, 300, 400, 500, 600: client 110, 210, 310, 410, 510, 610: memory 120, 220, 320, 420, 520, 620: processor 130, 230, 330, 430, 530, 630: communication device 240, 340, 440, 540, 640: input device 250, 350, 450, 550, 650: output device

Claims (20)

A network teaching system includes: a host terminal coupled to a first client terminal and a second client terminal. The host terminal includes: a memory for storing at least one command; and a processor coupled to In the memory, the processor is used to access the at least one command to execute: store an original course information from the first client, wherein the original course information includes plural segment content; according to the second client's A learning condition selects the segmented content to generate a first suitable course information; transmits the first suitable course information to the second client, so that an output device of the second client is based on a first virtual space Output the first suitable course information from a first angle of view; when the output device of the second client outputs the first suitable course information, record a value of an input device of the second client; and input the value To a machine learning program to generate plural character models. The network teaching system according to claim 1, wherein the learning condition is a learning time, a hardware configuration, a number of people, an activity range, or a network condition of the second client, or a combination thereof. The network teaching system described in claim 1, wherein The processor sorts and combines the segmented content according to the learning condition to generate the suitable course information. The network teaching system according to claim 1, wherein the value of the input device of the second client is a physical value, a biological value, or a combination thereof. The network teaching system according to claim 4, wherein the processor is further used to access the at least one instruction to execute: generate a course record according to the value, wherein the course record is used by the first client or the second client The client accesses to replay the first suitable course information according to a second perspective in the first virtual space. The network teaching system according to claim 5, wherein the second perspective is not equal to the first perspective. The network teaching system according to claim 4, wherein the physical value is a movement coordinate, an angle, a speed, a touch force, or a gesture corresponding to a limb or torso of a user of the second client terminal / Refers to the angle, or the value of the surrounding environment, or a combination thereof. The network teaching system according to claim 4, wherein the biological value is a brain wave, a voiceprint, eye tracking, or heartbeat of a user corresponding to the second client terminal, or a combination thereof. The network teaching system according to claim 4, wherein the processor is further used to access the at least one instruction to execute: when an output device of a third client outputs output according to a second perspective in a second virtual space When a second adapted course information is used, a robot avatar is generated in the second virtual space according to at least one of the role models to assist learning. The network teaching system according to claim 4, wherein the processor is further used to access the at least one instruction to execute: operate an electronic device or a mechanical device according to at least one of the role models. The network teaching system according to claim 1, wherein the host is further coupled to a fourth client, and the processor is further used to access the at least one command to execute: in response to the second client transmitting a Inviting to the fourth client or in response to the fourth client transmitting an application to the second client, selecting the segmented content according to a learning condition of the fourth client to generate a third suitable course information; The third suitable course information is transmitted to the fourth client, so that an output device of the fourth client outputs the third suitable course information according to a third perspective in the first virtual space, wherein the third perspective Different from the first perspective; and When the output device of the fourth client terminal outputs the third suitable course information, a value of an input device of the fourth client terminal is recorded. A network teaching method, executed by a host, includes: storing an original course information from a first client, wherein the original course information includes plural segmented content; according to a learning condition of the second client The segmented contents are selected to generate a first suitable course information; the first suitable course information is transmitted to the second client, so that an output device of the second client is based on a first virtual space Output the first suitable course information from a perspective; when the output device of the second client terminal outputs the first suitable course information, record a value of an input device of the second client terminal; and input the value to a machine Learn procedures to generate plural character models. The network teaching method according to claim 12, wherein the learning condition includes a learning time, a hardware configuration, a number of people, an activity range, or a network condition of the second client, or a combination thereof. According to the network teaching method described in claim 12, the host terminal sorts and combines the segmented content according to the learning condition to generate the suitable course information. The network teaching method according to claim 12, wherein the value of the input device of the second client is a physical value, a biological value, or a combination thereof. The network teaching method according to claim 15, further comprising: generating a course record according to the value, wherein the course record is accessed by the first client or the second client according to the information in the first virtual space A second perspective replays the information of the first suitable course. The network teaching method according to claim 15, wherein the physical value includes a movement coordinate, an angle, a speed, a touch force, or a gesture corresponding to a limb or torso of a user of the second client terminal / Refers to the angle, or the value of the surrounding environment, or a combination thereof. The network teaching method according to claim 15, wherein the biological value is a brain wave, a voiceprint, eye tracking, or heartbeat of a user corresponding to the second client terminal, or a combination thereof. The network teaching method according to claim 15, further comprising: when an output device of a third client outputs a second suitable course information according to a second perspective in a second virtual space, according to the roles At least one of the models generates a robot avatar to assist learning in the second virtual space. The network teaching method according to claim 15, further comprising: operating an electronic device or a mechanical device according to at least one of the role models.

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