WO2019104996A1

WO2019104996A1 - Teaching method and device, and computer readable storage medium

Info

Publication number: WO2019104996A1
Application number: PCT/CN2018/091373
Authority: WO
Inventors: 袁晖
Original assignee: 深圳市科迈爱康科技有限公司
Priority date: 2017-12-01
Filing date: 2018-06-15
Publication date: 2019-06-06
Also published as: CN108198103A

Abstract

A teaching method and device, and a computer readable storage medium. The method comprises: when a teaching plan generation instruction triggered by a user is received, obtaining corresponding user information according to a learning target in the teaching plan generation instruction, the user information comprising basic information and first feature information (S10); searching a preset database according to the basic information and the learning target to obtain second feature information of a learner who matches the basic information and completes the learning target (S20); performing simulation according to the second feature information and the first feature information, and displaying a corresponding simulation result (S30); and when a simulation result acceptance instruction triggered by the user is received, obtaining a teaching plan for the learner from the preset database (S40).

Description

Teaching method, device and computer readable storage medium

The present application claims priority to Chinese Patent Application No. JP-A No. No. No. No. No. No. No. No. No. No. No. No. No. In the application.

Technical field

The present application relates to the field of educational technology, and in particular, to a teaching method, apparatus, and computer readable storage medium.

Background technique

The teaching mode refers to the stable relationship and the structural form of the activity process between the various elements of teaching and learning activities in a certain environment under the guidance of certain educational thoughts, teaching theories and learning theories. The traditional teaching mode is generally a form of classroom teaching that uses traditional teaching methods to complete specific teaching content. The traditional teaching mode is a cramming and passive teaching. Students only rely on their thinking and memory to gain knowledge and passively receive knowledge. The modern teaching mode introduces multimedia into the classroom. Teachers display the teaching materials through multimedia. Although it enriches and enhances the expressiveness and appeal of classroom teaching, it is still based on passive teaching.

Regardless of whether it is a traditional teaching mode or a modern teaching mode, teachers are the main body of teaching activities. Teachers simply emphasize that all knowledge is instilled in students, rather than teaching students in accordance with their aptitude. However, because each student's age, gender, physical characteristics, learning foundation, and learning ability are inconsistent, the focus of the learning needs to be different when they complete the same learning goal. Therefore, only the individual according to the student Reasonable choice of different teaching plans can improve students' learning efficiency and learning effect.

Application content

The main purpose of the present application is to provide a teaching method, apparatus and computer readable storage medium, which aim to solve the technical problem in the prior art that a teaching plan cannot be reasonably selected according to individual differences of students.

To achieve the above object, the present application provides a teaching method, the teaching method comprising:

When receiving the instruction plan generation instruction triggered by the user, acquiring corresponding user information according to the learning target in the instruction plan generation instruction, where the user information includes basic information and first feature information;

Performing a search in the preset database according to the basic information and the learning target, and obtaining second feature information of the learner that matches the basic information and has completed the learning target;

Performing simulation according to the second feature information and the first feature information, and displaying corresponding simulation results;

When the user-triggered simulation result acceptance instruction is received, the learner's teaching plan is obtained from the preset database.

In addition, in order to achieve the above object, the present application further provides a teaching apparatus, the teaching apparatus comprising: a memory, a processor, and a teaching program stored on the memory and operable on the processor, the teaching program The following steps are implemented when executed by the processor:

In addition, in order to achieve the above object, the present application further provides a computer readable storage medium, where the teaching program is stored, and the teaching program is executed by a processor to implement the following steps:

The present application provides a teaching method, apparatus, and computer readable storage medium, which obtain corresponding user information according to a learning target in the teaching plan generation instruction when receiving a user-initiated teaching plan generation instruction, the user information Include basic information and first feature information; performing a search in a preset database according to the basic information and the learning target, obtaining second feature information of the learner that matches the basic information and has completed the learning target; The second feature information is simulated with the first feature information, and displays a corresponding simulation result; when the user-triggered simulation result accepting instruction is received, the learner's teaching plan is acquired from the preset database. In the above manner, when receiving the instruction plan generation instruction triggered by the user, the terminal acquires corresponding user information according to the learning target in the instruction plan recommendation instruction, where the user information includes basic information and first feature information, The learning of different learning objectives has different focuses, and the required user information is also different. Therefore, the application can obtain corresponding user information according to the learning objectives of the user, thereby improving the effectiveness of user information collection, and then based on the basic information. And searching for the learning target in the preset database, obtaining second feature information of the learner that matches the basic information and having completed the learning target, performing simulation according to the second feature information and the first feature information, and displaying corresponding The simulation result, that is, the state of the user when the learning target is completed, and the state of the execution learning action of the virtual character is presented in the terminal screen, so that the user can more intuitively and intuitively feel whether the simulation result meets his or her expected effect. Can enhance the user experience. When the user-triggered simulation result acceptance instruction is received, the user is satisfied with the simulation result. At this time, the learner's teaching plan of the completed learning target is obtained from the preset database, and the user is allowed to learn according to the teaching plan. Therefore, the application based on the large database can reasonably select different teaching plans according to user information and learning objectives, fully taking into account the individual differences of users, and generating a more appropriate teaching plan for them, thereby improving learning efficiency and learning effect.

DRAWINGS

1 is a schematic structural diagram of a terminal in a hardware operating environment according to an embodiment of the present application;

2 is a schematic flow chart of a first embodiment of a teaching method of the present application;

FIG. 3 is a schematic diagram of a refinement process of acquiring user information corresponding to a learning target in a teaching plan generation instruction when receiving a user-initiated teaching plan generation instruction according to an embodiment of the present application;

4 is a schematic flow chart of a second embodiment of a teaching method of the present application;

FIG. 5 is a schematic flowchart of a third embodiment of a teaching method of the present application.

The implementation, functional features and advantages of the present application will be further described with reference to the accompanying drawings.

Detailed ways

It is understood that the specific embodiments described herein are merely illustrative of the application and are not intended to be limiting.

Referring to FIG. 1 , FIG. 1 is a schematic structural diagram of a terminal in a hardware operating environment according to an embodiment of the present application.

The terminal in the embodiment of the present application may be a PC, or may be a mobile terminal device having a display function, such as a smart phone, a tablet computer, or a portable computer.

As shown in FIG. 1, the terminal may include a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to implement connection communication between these components. The user interface 1003 can include a display, an input unit such as a keyboard, and the optional user interface 1003 can also include a standard wired interface, a wireless interface. The network interface 1004 can optionally include a standard wired interface, a wireless interface (such as a Wi-Fi interface). The memory 1005 may be a high speed RAM memory or a stable memory (non-volatile) Memory), such as disk storage. The memory 1005 can also optionally be a storage device independent of the aforementioned processor 1001.

Optionally, the terminal may further include a camera, RF (Radio) Frequency, RF) circuits, sensors, audio circuits, Wi-Fi modules, and more. Among them, sensors such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the display according to the brightness of the ambient light, and the proximity sensor may turn off the display and/or the backlight when the terminal moves to the ear. . As a kind of motion sensor, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (usually three axes), and can detect the magnitude and direction of gravity when stationary, and can be used to identify the posture of the mobile terminal (such as horizontal and vertical screen switching, Related games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tapping), etc.; of course, the terminal can also be equipped with other sensors such as gyroscope, barometer, hygrometer, thermometer, infrared sensor, etc. Let me repeat.

It will be understood by those skilled in the art that the terminal structure shown in FIG. 1 does not constitute a limitation to the terminal, and may include more or less components than those illustrated, or a combination of certain components, or different component arrangements.

As shown in FIG. 1, an operating system, a network communication module, a user interface module, and a teaching program may be included in the memory 1005 as a computer storage medium.

In the terminal shown in FIG. 1, the network interface 1004 is mainly used to connect to the background server for data communication with the background server; the user interface 1003 is mainly used for connecting the client and performing data communication with the client; and the processor 1001 can be used for The teaching program stored in the memory 1005 is called and the following operations are performed:

Further, the processor 1001 can call the teaching program stored in the memory 1005, and also performs the following operations:

When receiving the instruction plan generation instruction triggered by the user, determining a corresponding detection item according to the learning target in the instruction plan generation instruction;

When receiving the detection result corresponding to the detection item input by the user, the corresponding user information is acquired according to the detection result.

Collecting third feature information of the user periodically, and comparing the third feature information with the pre-stored feature information;

When the difference between the third feature information and the pre-stored feature information is within a preset range, corresponding prompt information is generated to prompt the user to continue learning according to the teaching plan.

When the difference between the third feature information and the pre-stored feature information is not within the preset range, a corresponding adjustment scheme is generated according to the difference to enable the user to adjust according to the adjustment scheme.

After receiving the adjustment completion instruction triggered by the user, acquiring fourth feature information of the user, and comparing the fourth feature information with the pre-stored feature information;

When the difference between the fourth feature information and the pre-stored feature information is within a preset range, the step of: generating corresponding prompt information to prompt the user to continue learning according to the teaching plan according to the prompt information.

After receiving the instruction plan completion instruction triggered by the user, acquiring the fifth feature information of the user, and saving the learning target, the basic information, the first feature information, the fifth feature information, and the corresponding teaching plan of the user to the In the default database.

The basic information, the second feature information, and the teaching plan of the learner who has completed the learning goal are received and stored in the preset database.

Further, the basic information includes one or more of age, gender, IQ, body parameters, and genetic information, and the first feature information and the second feature information include a limb motion feature and a micro-feature feature.

Based on the above hardware structure, an embodiment of the teaching method of the present application is proposed.

The application provides a teaching method.

Please refer to FIG. 2. FIG. 2 is a schematic flowchart of the first embodiment of the teaching method of the present application.

In the embodiment of the present application, the teaching method includes:

Step S10, when receiving the instruction plan generation instruction triggered by the user, acquiring corresponding user information according to the learning target in the instruction plan generation instruction, where the user information includes basic information and first feature information;

In the embodiment of the present application, before the step S10, the teaching method further includes:

In the embodiment of the present application, the teaching method is based on a large database, and can reasonably select different teaching plans according to user information and learning objectives, fully taking into account individual differences of users, and generating a more suitable teaching plan for them, thereby improving learning efficiency and learning. effect.

In the embodiment of the present application, the terminal first receives the basic information, the second feature information, and the teaching plan of the learner who has completed the learning goal, and stores it in a preset database, thereby constructing a large database. The learning objectives may include, but are not limited to, a learning subject, a learning time, and a learning effect, and the basic information includes one or more of age, gender, IQ, physical parameters, and genetic information, and the second characteristic information includes limb motion characteristics and micro The expression feature, of course, the basic information and the second feature information are not limited to the above listed items, for example, the basic information may further include learning basic information, and the second feature information may further include biometrics, etc., and some information may also include multiple items, such as the body. Parameters can include height, weight, muscle strength, physical endurance, whether to roll tongue, whether to stutter, hearing, vision, etc. Genetic testing can include smart genes, comprehend genes, memory genes, thinking genes, emotional genes, genes of interest, endurance genes, Strong genes, physical genes, etc. In addition, the terminal can also receive basic information and feature information of the learner who has completed the learning target in the learning process, and store it in a preset database, thereby enriching the data of the database and realizing data refinement, thereby providing more Reference information to meet the different service needs of users.

It should be noted that the limb motion feature and the micro-feature feature in the second feature information may be the limb motion feature and the micro-feature feature collected by the learner according to the completed learning target when performing the corresponding learning action, for example, a certain When the learner is able to complete the daily oral English learning and is fluent in the daily conversation of English, the learner who has completed the daily oral learning goal of the English can perform the limb movement recognition and the micro expression recognition during the daily conversation of the English language, thereby obtaining the The physical movement characteristics and micro-expression features of the learner who have completed the English oral learning goal, such as the posture, head movement and gesture movement changes and micro-expression changes in the daily conversation of English. Among them, the limb movement is a variety of gestures and movements expressed by the body through the movement of the body and the limbs, expressing or assisting in expressing the person's thoughts, emotions, wishes, etc., and the limb movements include upper limb movements, lower limb movements, trunk movements, and head movements. . At present, the limb motion recognition technology can identify the limb motion based on the image and video, and then construct a virtual model. Micro-expressions are very short-lived, uncontrollable facial expressions that are leaked when humans try to suppress or hide real emotions. The micro-expression may contain all the muscle movements of the ordinary expression, or it may only contain part of the ordinary expression muscle movement. It is a spontaneous expression movement that expresses six basic expressions (happy, disgusted, angry, fearful, sad, Surprised). The main tests currently used for micro-expression recognition and research are: short-term expression recognition test (Brief) Affect Recognition Test, BART) and Japanese and Caucasian Brief Expression Test (Japanese and Caucasian Brief Affect Recognition Test, JACBART), a test used to examine people's ability to recognize micro-expressions. Later, Ekman developed the Micro Expression Training tool. Tool, METT), METT training can improve micro-expression recognition.

When receiving the instruction plan generation instruction triggered by the user, the corresponding user information is acquired according to the learning target in the instruction plan generation instruction, and the user information includes basic information and first feature information. The learning objectives may include, but are not limited to, a learning subject, a learning time, and a learning effect, and the basic information includes one or more of age, gender, IQ, physical parameters, and genetic information, and the first characteristic information includes a limb motion feature and a micro The expression feature, of course, the basic information and the first feature information are not limited to the above listed items. For example, the basic information may further include learning basic information, and the first feature information may further include biometrics, etc., and some information may also include multiple items, such as the body. Parameters can include height, weight, muscle strength, physical endurance, whether to roll tongue, whether to stutter, hearing, vision, etc. Genetic testing can include smart genes, comprehend genes, memory genes, thinking genes, emotional genes, genes of interest, endurance genes, Strong genes, physical genes, etc. It should be noted that the limb motion feature and the micro-feature feature in the first feature information may be the body motion feature and the micro-feature feature collected according to the user when the corresponding learning action is performed. For example, the learning subject selected by the user is English. In daily speaking, the user can perform body motion recognition and micro-expression recognition during the daily conversation in English, thereby obtaining the user's physical movement characteristics and micro-expression features.

Specifically, please refer to FIG. 3. FIG. 3 is a schematic diagram of a refinement process of acquiring corresponding user information according to the learning target in the instruction generation instruction of the instruction plan when receiving the instruction plan generation instruction triggered by the user in the embodiment of the present application. Step S10 includes:

Step S11, when receiving the instruction plan generation instruction triggered by the user, determining a corresponding detection item according to the learning target in the instruction plan generation instruction;

Step S12: When receiving the detection result corresponding to the detection item input by the user, acquiring corresponding user information according to the detection result.

In the embodiment of the present application, when the user-initiated teaching plan generation instruction is received, the corresponding detection item is determined according to the learning target in the instruction plan generation instruction, so that the user performs corresponding detection according to the detection item information, when receiving When the detection result corresponding to the detection item input by the user is obtained, the corresponding user information is acquired according to the detection result. Since the learning of different learning objectives has different focuses, the required user information is also different. Therefore, the present application can determine corresponding detection items according to the learning objectives of the user, thereby obtaining corresponding user information, thereby improving user information collection. Effectiveness.

Specifically, the user may click the corresponding teaching plan generation software in the terminal, and log in to the learning target setting interface. In the setting interface, the learning subject, the learning time, and the learning effect may be set, wherein the learning subject may have a language, Mathematics, English and other subjects, each subject can also be set up to refine the type of learning, such as language reading, spoken English, etc.; in the learning time can be set to the expected completion time (that is, how long to complete the study of the subject) and daily free time ( That is, the time can be used to learn the subject every day. The expected time and the free time of each day can be set in the corresponding time options for the user to select; the basic effect, mastery and other options can be set in the learning effect. When the user input or selection is completed, corresponding teaching plan generation instructions are formed according to the learning objectives, and the learning objectives are included in the instructions. Then, the terminal determines corresponding detection items according to the learning target, so that the user performs detection according to the detection items, and then, when receiving the corresponding detection result input by the user, acquires corresponding user information according to the detection results. Wherein, corresponding to the user information, the detection item may include one or more of IQ measurement, body parameter measurement, and genetic measurement, and recording a video or image when the user performs a learning action of the learning subject, wherein the body parameter measurement includes Multiple items, such as height, weight, muscle strength, physical endurance, whether to roll tongue, whether stuttering, hearing, vision, etc., genetic testing can also include multiple items, such as sensitive gene determination, comprehension gene determination, memory gene determination , thinking gene measurement, emotional gene measurement, focus on gene determination, endurance gene determination, strong gene determination, physical gene determination. When inputting the detection result, the user can directly input corresponding data, such as IQ value, body parameter information, etc., or input corresponding detection result, for example, uploading a video or an image, and then the terminal performs limb motion recognition according to the received video or image. And micro-expression recognition, of course, the video or image can also directly call the camera of the terminal for recording or shooting. It should be noted that since the learning of different subjects has different focuses, the required user information is also different, that is, the detection items are also different. Therefore, the terminal can determine different detection items according to different learning objectives, thereby obtaining corresponding User information can improve the effectiveness of user information collection, and thus can better generate teaching plans according to the user's own situation.

It should also be noted that, in a specific embodiment, different levels of detection items may be set according to the user's need for the suitability of the teaching plan. For example, when the user needs the most suitable teaching plan, all items that should be tested may be recommended. When users need a more appropriate teaching plan, they can only recommend some important testing items, which can reduce user costs.

Step S20: Perform a search in the preset database according to the basic information and the learning target, and obtain second feature information of the learner that matches the basic information and has completed the learning target;

The finding is performed in the preset database according to the basic information of the user and the learning target, and the second feature information of the learner that matches the basic information and has completed the learning target is obtained. It should be noted that the matching with the basic information may be completely consistent with the basic information of the user, or the matching degree may exceed a certain matching degree. When there are multiple matching learners, the learning with the highest matching degree may be selected. The second characteristic information of the person. The calculation of the matching degree may be a weighted sum of the items calculated according to the specific gravity coefficient of each item in the basic information and the matching degree of each item. The specific gravity coefficient of each item is set by a person skilled in the art according to actual needs, and the embodiment of the present application is not limited; the calculation rule of the matching degree of each item is also set by a person skilled in the art according to actual needs, and the embodiment of the present application does not limit.

Step S30, performing simulation according to the second feature information and the first feature information, and displaying corresponding simulation results;

Step S40: When receiving the simulation result acceptance instruction triggered by the user, acquiring the teaching plan of the learner from the preset database.

Simulating according to the second feature information and the first feature information, and displaying the corresponding simulation result, that is, simulating the second feature information of the learner according to the completed learning target and the first feature information of the user, thereby virtualizing the user to complete The state of the learning target, and then the state of the execution learning action of the virtual character is presented in the terminal screen, the method is more vivid and stereoscopic, and the user feels more intuitively and intuitively to judge whether the expected virtual effect conforms to his or her own. The expected effect can improve the user experience. The specific simulation method can refer to the prior art and will not be described here.

When the user-triggered simulation result acceptance instruction is received, the user is satisfied with the simulation result. At this time, the learner's teaching plan of the completed learning target is obtained from the preset database, and the user is allowed to learn according to the teaching plan.

In addition, when the user-triggered simulation result rejection instruction is received, that is, the user is not satisfied with the simulation result, the characteristics of the learner who has completed the learning target with relatively poor matching degree with the user basic information may be acquired in the preset database. The information is further simulated by the feature information and the first feature information of the user, and the corresponding simulation result is displayed, wherein the obtaining sequence may be sorted according to the matching degree until receiving the simulation result received by the user, that is, when the user is satisfied The teaching plan corresponding to the learner is obtained from the preset database, and the user is allowed to learn according to the teaching plan.

It should be noted that, in a specific embodiment, when the user-triggered simulation result rejection instruction is received, that is, the user is not satisfied with the simulation result, more basic user information may be collected, and then the added basic information and The learning target is searched in the preset database, and the feature information of the learner that matches the added basic information and has completed the learning target is obtained, thereby improving the accuracy of the matching result, and then according to the feature information and the user's A feature information is simulated, and the corresponding simulation result is displayed, so that the user can judge whether the newly generated simulation result meets the expected effect, and thus, until the user-triggered simulation result is received, that is, when the user is satisfied, the user obtains the preset data from the preset database. The learner's teaching plan, so that the user can find a teaching plan that meets the expected effect and is suitable for the user, so that the user's learning efficiency and learning effect are better. Of course, more user feature information can be collected to make the simulation effect better. In addition, it is also possible to change the learning objectives, such as changing the learning time, and then using the basic information and the changed learning objectives to search in the preset database to obtain learners who match the basic information and have completed the changed learning objectives. The feature information is further simulated according to the feature information and the first feature information of the user, and the corresponding simulation result is displayed, so that the user judges whether the newly generated simulation result meets the expected effect, and thus, until the user-triggered simulation result is received The instruction is accepted, that is, when the user is satisfied, the learner's teaching plan is obtained from the preset database, so that the user can find a teaching plan that meets the expected effect and is suitable for the user, so that the user's learning efficiency and learning effect are better.

The embodiment of the present application provides a teaching method, by receiving a user-triggered instruction plan generation instruction, acquiring corresponding user information according to the learning target in the instruction plan generation instruction, where the user information includes basic information and the first Feature information; performing a search in the preset database according to the basic information and the learning target, obtaining second feature information of the learner that matches the basic information and has completed the learning target; and according to the second feature information Simulating with the first feature information, and displaying a corresponding simulation result; when receiving the user-triggered simulation result acceptance instruction, acquiring the learner's teaching plan from the preset database. In the above manner, when receiving the instruction plan generation instruction triggered by the user, the terminal acquires corresponding user information according to the learning target in the instruction plan recommendation instruction, where the user information includes basic information and first feature information, The learning of different learning objectives has different focuses, and the required user information is also different. Therefore, the application can obtain corresponding user information according to the learning objectives of the user, thereby improving the effectiveness of user information collection, and then based on the basic information. And searching for the learning target in the preset database, obtaining second feature information of the learner that matches the basic information and having completed the learning target, performing simulation according to the second feature information and the first feature information, and displaying corresponding The simulation result, that is, the state of the user when the learning target is completed, and the state of the execution learning action of the virtual character is presented in the terminal screen, so that the user can more intuitively and intuitively feel whether the simulation result meets his or her expected effect. Can enhance the user experience. When the user-triggered simulation result acceptance instruction is received, the user is satisfied with the simulation result. At this time, the learner's teaching plan of the completed learning target is obtained from the preset database, and the user is allowed to learn according to the teaching plan. Therefore, the application based on the large database can reasonably select different teaching plans according to user information and learning objectives, fully taking into account the individual differences of users, and generating a more appropriate teaching plan for them, thereby improving learning efficiency and learning effect.

Further, please refer to FIG. 4, which is a schematic flowchart of a second embodiment of the teaching method of the present application.

Based on the first embodiment shown in FIG. 2, after step S40, the teaching method further includes:

Step S50, periodically acquiring third feature information of the user, and comparing the third feature information with the pre-stored feature information;

When the difference between the third feature information and the pre-stored feature information is within the preset range, step S61 is performed: generating corresponding prompt information to prompt the user to continue learning according to the teaching plan.

When the difference between the third feature information and the pre-stored feature information is not within the preset range, step S62 is performed: generating a corresponding adjustment scheme according to the difference, so that the user performs adjustment according to the adjustment scheme.

Compared with the first embodiment shown in FIG. 2, the difference in the embodiment of the present application is that, in order to ensure the learning effect of the user, the terminal periodically reminds the user to perform detection, for example, every other month, thereby acquiring the third feature of the user. The information is then compared with the pre-stored feature information according to the third feature information to detect the learning effect of the user. When the difference between the third feature information and the pre-stored feature information is within the preset range, the user's learning effect is better, and the expected effect is met. At this time, corresponding prompt information is generated to prompt the user to continue according to the teaching. Plan to learn, that is, continue to complete the follow-up teaching plan. The pre-stored feature information refers to the feature information of the learner who has completed the learning target in the corresponding period, and the prompt mode may be a text reminder or a voice reminder. When the difference between the third feature information and the pre-stored feature information is not within the preset range, the user's learning effect is poor, and the expected effect is not met. At this time, a corresponding adjustment plan is generated according to the difference to enable the user to perform the The adjustment plan is adjusted to find out the problem in time and make adjustments and adjustments so as not to affect subsequent learning.

After step S62, the teaching method further includes:

Step S70: After receiving the adjustment completion instruction triggered by the user, acquiring fourth feature information of the user, and comparing the fourth feature information with the pre-stored feature information;

When the difference between the fourth feature information and the pre-stored feature information is within the preset range, step S61 is performed to generate corresponding prompt information to prompt the user to continue learning according to the teaching plan according to the prompt information.

After receiving the adjustment operation completion command triggered by the user, the terminal may remind the user to perform the detection again, thereby acquiring the fourth feature information of the user, and then comparing the fourth feature information with the pre-stored feature information, when the fourth feature information and the pre-stored feature are When the difference between the information is within the preset range, the step of executing: generating corresponding prompt information to prompt the user to continue learning according to the teaching plan according to the prompt information, that is, continuing to complete the subsequent teaching plan. Of course, when the difference between the fourth feature information and the pre-stored feature information is not within the preset range, the step is performed: generating a corresponding adjustment scheme according to the difference, so that the user adjusts according to the adjustment scheme until the user's feature When the difference between the information and the pre-stored feature information is within the preset range, corresponding prompt information is generated to prompt the user to continue learning according to the teaching plan, that is, to continue the subsequent teaching plan.

Further, please refer to FIG. 5. FIG. 5 is a schematic flowchart diagram of a third embodiment of the teaching method of the present application.

Step S80: After receiving the instruction plan completion instruction triggered by the user, acquiring the fifth feature information of the user, and saving the learning target, the basic information, the first feature information, the fifth feature information, and the corresponding teaching plan of the user To the preset database.

After the user completes the teaching plan, acquiring the fifth feature information of the user, and saving the learning target, the basic information, the first feature information, the fifth feature information, and the corresponding teaching plan of the user to a preset database, It will expand the data volume of the preset database, so as to provide more reference for future users, and improve the accuracy and suitability of the follow-up teaching plan.

It should be noted that, after acquiring the fifth feature information of the user, the fifth feature information may be compared with the second feature information of the learner who has completed the learning target, where the fifth feature information and the second feature are When the difference between the information is within the preset range, it indicates that the user has actually completed the teaching plan, and at this time, the learning target, basic information, first feature information, fifth feature information, and corresponding teaching of the user are The plan is saved to the preset database. When the difference between the fifth feature information and the second feature information is not within the preset range, step S62 may continue to be performed until the difference between the feature information of the user and the second feature information is within a preset range. The feature information, the learning target, the basic information, the first feature information, and the corresponding teaching when the user can actually complete the teaching plan (that is, when the difference between the obtained feature information and the second feature information is within a preset range) The planning, adjustment plan, its completion time, and the feature information obtained during the adjustment process are saved to the preset database.

In addition, it should be noted that step S80 may also be located after step S61 in the second embodiment shown in FIG. At this time, in addition to saving the learning target, basic information, first feature information, fifth feature information, and corresponding teaching plan of the user to the preset database, the third feature information and its corresponding acquisition time and adjustment plan may also be And the completion time (the completion time of the adjustment scheme may be the time difference between the generation time of the adjustment scheme and the adjustment completion instruction received, or the adjustment completion time input by the user when the adjustment completion instruction is triggered), the fourth feature The information and its corresponding acquisition time are saved to the preset database, which will expand the data volume of the preset database, thereby providing more reference for future users, and improving the accuracy and suitability of the subsequent teaching plan.

The present application further provides a computer readable storage medium having stored thereon a teaching program, the teaching program being executed by a processor to implement the steps of the teaching method as described in any of the above embodiments.

The specific embodiments of the computer readable storage medium of the present application are substantially the same as the embodiments of the teaching method described above, and are not described herein.

It is to be understood that the term "comprises", "comprising", or any other variants thereof, is intended to encompass a non-exclusive inclusion, such that a process, method, article, or It also includes other elements that are not explicitly listed, or elements that are inherent to such a process, method, item, or system. An element defined by the phrase "comprising a ..." does not exclude the presence of additional equivalent elements in a process, method, article, or system that includes the element, without further limitation.

The serial numbers of the embodiments of the present application are merely for the description, and do not represent the advantages and disadvantages of the embodiments.

Through the description of the above embodiments, those skilled in the art can clearly understand that the foregoing embodiment method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be through hardware, but in many cases, the former is better. Implementation. Based on such understanding, the technical solution of the present application, which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM as described above). , a disk, an optical disk, including a number of instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the methods described in the various embodiments of the present application.

The above is only a preferred embodiment of the present application, and is not intended to limit the scope of the patent application, and the equivalent structure or equivalent process transformations made by the specification and the drawings of the present application, or directly or indirectly applied to other related technical fields. The same is included in the scope of patent protection of this application.

Claims

A teaching method, wherein the teaching method comprises the following steps:

When receiving the instruction plan generation instruction triggered by the user, acquiring corresponding user information according to the learning target in the instruction plan generation instruction, where the user information includes basic information and first feature information;

Performing a search in the preset database according to the basic information and the learning target, and obtaining second feature information of the learner that matches the basic information and has completed the learning target;

Performing simulation according to the second feature information and the first feature information, and displaying corresponding simulation results;

When the user-triggered simulation result acceptance instruction is received, the learner's teaching plan is obtained from the preset database.
The teaching method according to claim 1, wherein when the user-initiated teaching plan generation instruction is received, the corresponding user information is acquired according to the learning target in the teaching plan generation instruction, and the user information includes basic information. And the step of the first feature information, including:

When receiving the instruction plan generation instruction triggered by the user, determining a corresponding detection item according to the learning target in the instruction plan generation instruction;

When receiving the detection result corresponding to the detection item input by the user, the corresponding user information is acquired according to the detection result.
The teaching method of claim 1, wherein the teaching method further comprises:

Collecting third feature information of the user periodically, and comparing the third feature information with the pre-stored feature information;

When the difference between the third feature information and the pre-stored feature information is within a preset range, corresponding prompt information is generated to prompt the user to continue learning according to the teaching plan.
The teaching method of claim 3, wherein the step of periodically acquiring the third feature information of the user and comparing the pre-stored feature information corresponding to the corresponding time comprises:

When the difference between the third feature information and the pre-stored feature information is not within the preset range, a corresponding adjustment scheme is generated according to the difference to enable the user to adjust according to the adjustment scheme.
The teaching method according to claim 3, wherein when the difference between the third feature information and the pre-stored feature information is not within a preset range, a corresponding adjustment scheme is generated according to the difference to enable the user to After the step of adjusting the adjustment scheme, the method includes:

After receiving the adjustment completion instruction triggered by the user, acquiring fourth feature information of the user, and comparing the fourth feature information with the pre-stored feature information;

When the difference between the fourth feature information and the pre-stored feature information is within a preset range, the step of: generating corresponding prompt information to prompt the user to continue learning according to the teaching plan according to the prompt information.
The teaching method of claim 1, wherein the teaching method further comprises:

After receiving the instruction plan completion instruction triggered by the user, acquiring the fifth feature information of the user, and saving the learning target, the basic information, the first feature information, the fifth feature information, and the corresponding teaching plan of the user to the In the default database.
The teaching method according to claim 1, wherein the step of acquiring the corresponding user information according to the learning target in the teaching plan generation instruction when the user-initiated teaching plan generation instruction is received includes:

The basic information, the second feature information, and the teaching plan of the learner who has completed the learning goal are received and stored in the preset database.
The teaching method according to claim 1, wherein the basic information includes one or more of age, gender, IQ, body parameters, and genetic information, and the first feature information and the second feature information include a limb motion Features and micro-expression features.
A teaching apparatus, wherein the teaching apparatus comprises: a memory, a processor, and a teaching program stored on the memory and operable on the processor, the teaching program being implemented by the processor to implement the following step:

When receiving the instruction plan generation instruction triggered by the user, acquiring corresponding user information according to the learning target in the instruction plan generation instruction, where the user information includes basic information and first feature information;

Performing a search in the preset database according to the basic information and the learning target, and obtaining second feature information of the learner that matches the basic information and has completed the learning target;

Performing simulation according to the second feature information and the first feature information, and displaying corresponding simulation results;

When the user-triggered simulation result acceptance instruction is received, the learner's teaching plan is obtained from the preset database.
The teaching apparatus of claim 9, wherein said teaching program is further executed by said processor to:

When receiving the instruction plan generation instruction triggered by the user, determining a corresponding detection item according to the learning target in the instruction plan generation instruction;

When receiving the detection result corresponding to the detection item input by the user, the corresponding user information is acquired according to the detection result.
The teaching apparatus of claim 9, wherein said teaching program is further executed by said processor to:

Collecting third feature information of the user periodically, and comparing the third feature information with the pre-stored feature information;

When the difference between the third feature information and the pre-stored feature information is within a preset range, corresponding prompt information is generated to prompt the user to continue learning according to the teaching plan.
The teaching apparatus according to claim 11, wherein said teaching program is further executed by said processor to:

When the difference between the third feature information and the pre-stored feature information is not within the preset range, a corresponding adjustment scheme is generated according to the difference to enable the user to adjust according to the adjustment scheme.
The teaching apparatus according to claim 11, wherein said teaching program is further executed by said processor to:

After receiving the adjustment completion instruction triggered by the user, acquiring fourth feature information of the user, and comparing the fourth feature information with the pre-stored feature information;

When the difference between the fourth feature information and the pre-stored feature information is within a preset range, the step of: generating corresponding prompt information to prompt the user to continue learning according to the teaching plan according to the prompt information.
The teaching apparatus of claim 9, wherein said teaching program is further executed by said processor to:

After receiving the instruction plan completion instruction triggered by the user, acquiring the fifth feature information of the user, and saving the learning target, the basic information, the first feature information, the fifth feature information, and the corresponding teaching plan of the user to the In the default database.
The teaching apparatus of claim 9, wherein said teaching program is further executed by said processor to:

The basic information, the second feature information, and the teaching plan of the learner who has completed the learning goal are received and stored in the preset database.
The teaching apparatus according to claim 9, wherein said basic information includes one or more of age, gender, IQ, body parameters, and genetic information, said first feature information and second feature information including limb movements Features and micro-expression features.
A computer readable storage medium, wherein the computer readable storage medium stores a teaching program, and the teaching program is executed by a processor to implement the following steps:

When receiving the instruction plan generation instruction triggered by the user, acquiring corresponding user information according to the learning target in the instruction plan generation instruction, where the user information includes basic information and first feature information;

Performing a search in the preset database according to the basic information and the learning target, and obtaining second feature information of the learner that matches the basic information and has completed the learning target;

Performing simulation according to the second feature information and the first feature information, and displaying corresponding simulation results;

When the user-triggered simulation result acceptance instruction is received, the learner's teaching plan is obtained from the preset database.
The computer readable storage medium of claim 17, wherein the teaching program is further executed by the processor to:

When receiving the instruction plan generation instruction triggered by the user, determining a corresponding detection item according to the learning target in the instruction plan generation instruction;

When receiving the detection result corresponding to the detection item input by the user, the corresponding user information is acquired according to the detection result.
The computer readable storage medium of claim 17, wherein the teaching program is further executed by the processor to:

Collecting third feature information of the user periodically, and comparing the third feature information with the pre-stored feature information;

When the difference between the third feature information and the pre-stored feature information is within a preset range, corresponding prompt information is generated to prompt the user to continue learning according to the teaching plan.
The computer readable storage medium of claim 19, wherein the teaching program is further executed by the processor to:

When the difference between the third feature information and the pre-stored feature information is not within the preset range, a corresponding adjustment scheme is generated according to the difference to enable the user to adjust according to the adjustment scheme.