WO2019104998A1

WO2019104998A1 - Mathematics teaching method and device, and computer-readable storage medium

Info

Publication number: WO2019104998A1
Application number: PCT/CN2018/091375
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: CN108198104A

Abstract

A mathematics teaching method and device, and a computer-readable storage medium. The method comprises: when receiving a mathematics teaching plan generation instruction triggered by a user, acquiring corresponding user information according to a mathematics learning target in the mathematics teaching plan generation instruction, the user information comprising basic information and first feature information, and the basic information at least comprising gender, intelligence quotient, mathematics learning foundation, memory genes, intelligence genes, comprehension genes and thinking genes (S10); according to the basic information and the mathematics learning target, searching in a preset database to obtain second feature information of a learner that matches the basic information and that has finished the mathematics learning target (S20); simulating according to the second feature information and the first feature information and displaying the simulation result (S30); and when receiving a simulation result receiving instruction triggered by the user, acquiring a mathematics teaching plan for the learner from the preset database (S40).

Description

Math teaching method, device and computer readable storage medium

This application claims the priority of the Chinese Patent Application entitled "Mathematical Teaching Methods, Apparatus, and Computer Readable Storage Media" filed on Dec. 1, 2017, the Chinese Patent Office, Application No. 201711258132.4, the entire contents of which are incorporated by reference. In the application.

Technical field

The present application relates to the field of educational technology, and in particular, to a mathematics 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. For example, in mathematics, because each student's age, gender, mathematics learning foundation, and learning ability are inconsistent, the focus of training and learning required should be different when they complete the same mathematics learning goal. Therefore, only According to the individual differences of students, it is reasonable to choose different mathematics teaching plans to improve students' learning efficiency and learning effect.

Application content

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

To achieve the above objective, the present application provides a mathematics teaching method, and the math teaching method includes:

And when the user-triggered mathematics teaching plan generation instruction is received, acquiring corresponding user information according to the mathematical learning target in the mathematics teaching plan generation instruction, where the user information includes basic information and first feature information, where the basic information is at least Including gender, IQ, mathematics learning foundation, memory genes, smart genes, comprehension genes and thinking genes;

Performing a search in the preset database according to the basic information and the mathematical learning target, and obtaining second feature information of the learner that matches the basic information and has completed the mathematical 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 mathematics teaching plan is acquired from the preset database.

In addition, in order to achieve the above object, the present application further provides a mathematics teaching apparatus, including: a memory, a processor, and a mathematics teaching program stored on the memory and operable on the processor, The math instruction program is implemented by the processor to implement the following steps:

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

The present application provides a mathematics teaching method, apparatus, and computer readable storage medium, which, when receiving a user-triggered mathematics teaching plan generation instruction, acquire corresponding user information according to the mathematical learning target in the mathematics teaching plan generation instruction, The user information includes basic information and at least first feature information, the basic information including at least gender, IQ, mathematics learning basis, memory gene, smart gene, comprehension gene, and thinking gene; according to the basic information and mathematical learning objectives Performing a search in the database to obtain second feature information of the learner that matches the basic information and has completed the mathematical learning target; performing simulation according to the second feature information and the first feature information, and displaying Corresponding simulation result; when receiving the user-triggered simulation result acceptance instruction, acquiring the learner's mathematics teaching plan from the preset database. In the above manner, when receiving the user-triggered math instruction plan generation instruction, the terminal acquires corresponding user information according to the mathematics learning target in the math instruction plan recommendation instruction, where the user information includes basic information and the first feature. Information, in which the basic information includes at least gender, IQ, mathematics learning foundation, memory genes, smart genes, comprehension genes, and thinking genes. Since the learning of different mathematics learning objectives has different focuses, the required user information is also different. The application can obtain corresponding user information according to the mathematical learning goal of the user, thereby improving the effectiveness of the user information collection, and then searching according to the basic information and the mathematical learning target in a preset database to obtain matching with the basic information. And the second feature information of the learner who has completed the mathematical learning target is simulated according to the second feature information and the first feature information, and the corresponding simulation result is displayed, that is, the state of the user when the mathematical learning target is completed is virtualized, In turn, the execution of this virtual character Xi state action presented in the terminal screen, allowing users to intuitively feel more real judgment of the simulation results meets their desired effect, can enhance the user experience. When receiving the simulation result acceptance instruction triggered by the user, the user is satisfied with the simulation result. At this time, the mathematics teaching plan of the learner who has completed the mathematical learning goal is obtained from the preset database, and the user performs the mathematics teaching plan according to the mathematics teaching plan. Learn. Therefore, based on the large database, this application can reasonably select different mathematics teaching plans according to user information and mathematics learning objectives, fully taking into account the individual differences of users, and generating a more appropriate mathematics 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 math teaching method according to the present application;

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

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

FIG. 5 is a schematic flow chart of a third embodiment of a math teaching method according to 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 mathematics 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 mathematics teaching program stored in the memory 1005 is called and the operation described in the following math teaching method is performed.

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

The application provides a mathematics teaching method.

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

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

Step S10, when receiving the mathematics teaching plan generation instruction triggered by the user, acquiring corresponding user information according to the mathematical learning target in the mathematics teaching plan generation instruction, where the user information includes basic information and first feature information, Basic information includes at least gender, IQ, mathematics learning foundation, memory genes, smart genes, comprehensible genes, and thinking genes;

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

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

In the embodiment of the present application, the mathematics teaching method is based on a large database, and different mathematics teaching plans can be reasonably selected according to user information and mathematical learning objectives, wherein basic information in the user information is selectively obtained according to important influencing factors in mathematics learning. It can improve the effectiveness of user information and avoid the influence of some unimportant user information on the suitability of the final mathematics teaching plan. This application fully considers the individual differences of users and generates a more suitable mathematics teaching plan for them. Learning efficiency and learning outcomes.

In the embodiment of the present application, the terminal first receives the basic information, the second feature information, and the mathematics teaching plan of the learner who has completed the mathematical learning goal, and stores it in a preset database, thereby constructing a large database. Among them, the mathematics learning objectives may include but are not limited to mathematics learning courses, learning time and learning effects. The basic information includes at least gender, IQ, mathematics learning foundation, memory genes, smart genes, comprehension genes and thinking genes, and may also include age and body. One or more of the parameter, the emotion gene and the gene of interest, the second feature information includes a limb motion feature and a micro-feature 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 include other Specific gene information, the second feature information may further include biometrics and the like, wherein the mathematics learning foundation may include the computing power and logic of the one or more mathematics teachers for the learner who has completed the mathematics learning course in the beginner mathematics learning course. The comprehensive score or scores obtained after the evaluation of reasoning ability, abstract thinking ability and spatial imagination ability, wherein the evaluation method may include a written test or an interview, etc. In addition, some information may also include multiple items, for example, physical parameters may include Height, weight, hearing, vision Wait. In addition, the terminal can also receive basic information and feature information of the learner who has completed the mathematical learning goal 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, in a specific embodiment, at least the basic information included may be modified, added, or deleted according to the actual mathematical learning target of the user, thereby obtaining more effective basic information, thereby further improving the finally obtained mathematical teaching plan. Suitability to the user.

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 mathematical learning target when performing the corresponding learning action, for example, When a learner completes the mathematical operation learning and can quickly and accurately perform the calculation, the learner who has completed the mathematical learning learning target can perform the limb motion recognition and the micro expression recognition in the mathematical operation process, thereby obtaining the completed mathematical operation. The learner's physical movement characteristics and micro-expression features of the learning target, such as postures during the operation, changes in limb movements, and changes in micro-expressions. 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 user-triggered mathematics teaching plan generation instruction, the corresponding user information is acquired according to the mathematical learning target in the mathematics teaching plan generation instruction, and the user information includes basic information and first feature information. Among them, the mathematics learning objectives may include but are not limited to mathematics learning courses, learning time and learning effects. The basic information includes at least gender, IQ, mathematics learning foundation, memory genes, smart genes, comprehension genes and thinking genes, and may also include age and body. One or more of the parameter, the emotion gene and the gene of interest, the first feature information includes a limb motion feature and a micro-feature 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 other Specific gene information, the first feature information may further include biometrics, etc., wherein the mathematical learning foundation may include one or more mathematics teachers evaluating the user's computing power, logical reasoning ability, abstract thinking ability, and spatial imagination ability. The comprehensive score or the scores obtained, wherein the assessment method may include a written test or an interview, etc. In addition, some information may also include a plurality of items, for example, physical parameters may include height, weight, hearing, vision, and the like. It should be noted that the limb motion feature and the micro-feature feature in the first feature information may be based on the limb motion feature and the micro-feature feature collected by the user when performing the corresponding learning action. For example, the math learning course selected by the user is In the mathematical operation, the user can perform the limb motion recognition and the micro expression recognition in the mathematical operation process, thereby obtaining the limb motion feature and the micro expression feature of the user.

Specifically, please refer to FIG. 3. FIG. 3 is a refinement of acquiring the corresponding user information according to the mathematical learning target in the mathematics teaching plan generation instruction when receiving the user-triggered mathematics teaching plan generation instruction in the embodiment of the present application. Flow diagram, step S10 includes:

Step S11, when receiving the mathematics teaching plan generation instruction triggered by the user, determining a corresponding detection item according to the mathematical learning target in the mathematics teaching 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-triggered mathematics teaching plan generation instruction is received, the corresponding learning item is determined according to the mathematical learning target in the mathematics teaching plan generation instruction, so that the user performs corresponding detection according to the detection item information. And when the detection result corresponding to the detection item input by the user is received, the corresponding user information is acquired according to the detection result. Since the learning of different mathematical learning objectives has different focuses and the required user information is also different, the present application can determine the corresponding detection items according to the mathematical learning objectives of the user, thereby obtaining corresponding user information, thereby improving user information. The effectiveness of the collection.

Specifically, the user may click the corresponding teaching plan generation software in the terminal, select the math learning after login, and then perform a math learning target setting interface, in which the math learning course, the learning time and the learning effect may be set, wherein Mathematics learning courses can be divided into mathematics operations, mathematical geometry, primary school mathematics and other courses; the learning time can be set to the expected completion time (that is, how long to complete the mathematics course) and daily free time (that is, can be used to learn the math every day) The time of the course), the expected completion time and the daily idle time can be set to the corresponding time options for the user to select; the learning effect can be set under the basic mastery, proficiency and other options. When the user input or selection is completed, a corresponding mathematics teaching plan generation instruction is formed according to the mathematical learning objectives, and the mathematical learning objectives are included in the instruction. Then, the terminal determines corresponding detection items according to the mathematical 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 items include at least IQ measurement, basic measurement of mathematical learning, and determination of certain specific genes, including measurement of memory genes, smart genes, comprehensible genes, and thinking genes, and the detection items may further include physical parameters. And one or more of the determination of other specific genes (such as emotional genes and focused genes), and video or images when recording or photographing a learning action performed by the user to perform the mathematical learning objective, wherein it should be noted that The basics of mathematics learning can be obtained by one or more mathematics teachers to evaluate the user's computing power, logical reasoning ability, abstract thinking ability and spatial imagination ability, and then obtain a comprehensive score or various scores, wherein the evaluation method may include a written test or In addition, the physical parameter measurement includes a plurality of items such as height, weight, hearing, vision, and the like. When inputting the detection result, the user can directly input corresponding data, such as age, gender, IQ value, body parameter information, and genetic information, or input corresponding detection results, such as uploading a video or an image, and then the terminal receives the received The video or image performs limb motion recognition and micro-expression recognition. Of course, the video or image can also directly call the terminal's camera for recording or shooting. It should be noted that, for example, by acquiring the user's sitting posture and/or standing posture and/or head motion information and/or eye information in the corresponding mathematics learning course learning video, the amount of user information can be increased and the amount of information can be increased. The accuracy of the information matching results, in order to obtain a more appropriate mathematics teaching plan.

It should also be noted that since the learning of different mathematics courses 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 mathematical learning objectives, thereby Obtaining corresponding user information can improve the effectiveness of user information collection, and thus can better generate a mathematics teaching plan according to the user's own situation.

In addition, in a specific embodiment, different levels of detection items may be set according to the user's demand for the suitability of the mathematics teaching plan. For example, when the user needs the most suitable mathematics teaching plan, all items that should be tested may be recommended; When users need a more appropriate mathematics 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 mathematical learning target, and obtain second feature information of the learner that matches the basic information and has completed the mathematical learning target;

The finding is performed in the preset database according to the basic information of the user and the mathematical learning target, and the second feature information of the learner that matches the basic information and has completed the mathematical 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 mathematics teaching plan of the learner from the preset database.

Simulating according to the second feature information and the first feature information, and displaying a corresponding simulation result, that is, simulating the second feature information of the learner according to the completed mathematical learning target and the first feature information of the user, thereby virtualizing the user The state when the math learning goal is completed, and then the state of the execution learning action of the avatar is presented in the terminal screen. The method is more vivid and stereoscopic, and the user feels more intuitively and intuitively whether the virtual effect of the expectation is met. The expected effect of the user can improve the user experience. The specific simulation method can refer to the prior art and will not be described here.

When receiving the simulation result acceptance instruction triggered by the user, the user is satisfied with the simulation result. At this time, the mathematics teaching plan of the learner who has completed the mathematical learning goal is obtained from the preset database, and the user performs the mathematics teaching plan according to the mathematics teaching plan. Learn.

In addition, when the user-triggered simulation result rejection instruction is received, that is, the user is dissatisfied with the simulation result, the learner who has completed the mathematical learning target with relatively poor matching degree with the user basic information may be acquired in the preset database. The feature 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, and the user is satisfied. When the mathematics teaching plan corresponding to the learner is obtained from the preset database, the user can learn according to the mathematics 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 mathematics learning target searches in the preset database, obtains the feature information of the learner that matches the added basic information and has completed the mathematical learning target, thereby improving the accuracy of the matching result, and then according to the feature information and the user The first characteristic information is simulated, 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 triggers the simulation result receiving instruction, that is, when the user is satisfied, the preset is obtained. The database acquires the mathematics teaching plan of the learner, so as to find a mathematics teaching plan suitable for the user that meets the expected effect and the user is better in learning efficiency and learning effect. Of course, more user feature information can be collected to make the simulation effect better. In addition, you can change the math learning goals, such as changing the learning time, and then use the basic information and the changed math learning objectives to search in the default database to obtain the mathematics learning objectives that match the basic information and have completed the changes. The feature information of the learner is further simulated according to the feature information and the first feature information of the user, and the corresponding simulation result is displayed, thereby allowing the user to judge whether the newly generated simulation result meets the expected effect, and thus, until the user trigger is received The simulation result accepts the instruction, that is, when the user is satisfied, the mathematics teaching plan of the learner is obtained from the preset database, so that the user can find a mathematics teaching plan that meets the expected effect and is suitable for the user, so as to improve the learning efficiency and learning of the user. The effect is better.

The embodiment of the present application provides a mathematics teaching method, which obtains corresponding user information according to a mathematical learning target in the mathematics teaching plan generation instruction when receiving a mathematics teaching plan generated by a user, where the user information includes basic information. Information and first feature information, the basic information including at least gender, IQ, mathematics learning basis, memory gene, smart gene, comprehension gene, and thinking gene; searching in a preset database according to the basic information and the mathematical learning target, Obtaining second feature information of the learner that matches the basic information and has completed the mathematical learning target; performing simulation according to the second feature information and the first feature information, and displaying a corresponding simulation result; Upon receiving the user-triggered simulation result acceptance instruction, the learner's mathematics teaching plan is obtained from the preset database. In the above manner, when receiving the user-triggered math instruction plan generation instruction, the terminal acquires corresponding user information according to the mathematics learning target in the math instruction plan recommendation instruction, where the user information includes basic information and the first feature. Information, in which the basic information includes at least gender, IQ, mathematics learning foundation, memory genes, smart genes, comprehension genes, and thinking genes. Since the learning of different mathematics learning objectives has different focuses, the required user information is also different. The application can obtain corresponding user information according to the mathematical learning goal of the user, thereby improving the effectiveness of the user information collection, and then searching according to the basic information and the mathematical learning target in a preset database to obtain matching with the basic information. And the second feature information of the learner who has completed the mathematical learning target is simulated according to the second feature information and the first feature information, and the corresponding simulation result is displayed, that is, the state of the user when the mathematical learning target is completed is virtualized, In turn, the execution of this virtual character Xi state action presented in the terminal screen, allowing users to intuitively feel more real judgment of the simulation results meets their desired effect, can enhance the user experience. When receiving the simulation result acceptance instruction triggered by the user, the user is satisfied with the simulation result. At this time, the mathematics teaching plan of the learner who has completed the mathematical learning goal is obtained from the preset database, and the user performs the mathematics teaching plan according to the mathematics teaching plan. Learn. Therefore, based on the large database, this application can reasonably select different mathematics teaching plans according to user information and mathematics learning objectives, fully taking into account the individual differences of users, and generating a more appropriate mathematics teaching plan for them, thereby improving learning efficiency and learning effect. .

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

Based on the first embodiment shown in FIG. 2, after step S40, the mathematics 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 to generate corresponding prompt information to prompt the user to continue learning according to the mathematics 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. For example, in mathematical operation learning, the user's body movements and micro-expressions in the mathematical operation process can reflect the user's mathematical operation learning effect, and after each stage of learning, the user's mathematical operation learning effect is detected. The third feature information of the user may be obtained by recording a video of the user's mathematical operation process. Specifically, the limb motion feature of the user may be acquired by the limb motion recognition technology, and the micro-expression feature of the user is acquired by the micro-expression recognition technology at the same time. It is determined whether the difference between the actual learning effect of the user and the preset learning effect is within a preset range. It should be noted that, in a specific embodiment, one or more math teachers may perform comprehensive grade scoring or sub-item scoring on the actual completed test questions of the user, by using the difference between the actual score and the expected score. It indicates the difference between the actual learning effect of the user and the preset learning effect, thereby detecting the learning effect of the user.

When the difference between the third feature information and the pre-stored feature information is within a 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 mathematics. The teaching plan is to learn, that is, to continue the follow-up mathematics teaching plan. The pre-stored feature information refers to the feature information of the learner who has completed the mathematics learning target in the corresponding period, and the prompt mode may be a text reminder or a voice reminder. For example, in the above example, the user often encounters a disgusting micro-expression and an anxious limb movement when encountering a mixed operation in the actual operation process, and the performance when performing other types of calculations is in accordance with the expected effect, and at this time, the difference can be targeted. Generate a corresponding adjustment scheme, for example, to add guidance to the user about the hybrid operation.

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 mathematics 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 mathematics teaching plan according to the prompt information.

In the above example, after the user completes the added tutoring about the hybrid operation, the adjustment scheme completion option may be clicked in the terminal, and then the adjustment completion instruction is triggered. After the terminal receives the adjustment trigger completion command triggered by the user, the terminal may remind the user to perform the adjustment again. Detecting, thereby acquiring the fourth feature information of the user, and then 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, performing the step of: generating Corresponding prompt information is used to prompt the user to continue learning according to the mathematics teaching plan according to the prompt information, that is, to continue the follow-up mathematics 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 a preset range, corresponding prompt information is generated to prompt the user to continue learning according to the mathematics teaching plan, that is, to continue the subsequent mathematics teaching plan.

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

Step S80, after receiving the mathematics teaching plan completion instruction triggered by the user, acquiring the fifth feature information of the user, and the mathematical learning target, the basic information, the first feature information, the fifth feature information, and the corresponding mathematics of the user The teaching plan is saved to the preset database.

After the user completes the mathematics teaching plan, acquiring the fifth feature information of the user, and saving the mathematical learning target, the basic information, the first feature information, the fifth feature information, and the corresponding mathematics teaching plan of the user to a preset database. In this way, the data volume of the preset database will be expanded, thereby providing more reference for future users, and improving the accuracy and suitability of the subsequent mathematics teaching plan.

It should be noted that, after acquiring the fifth feature information of the user, the fifth feature information may also be compared with the second feature information of the learner who has completed the mathematical learning target, and the fifth feature information and the second feature information. When the difference between the feature information is within the preset range, it indicates that the user has actually completed the mathematics teaching plan, and at this time, the user's mathematical learning goal, basic information, first feature information, fifth feature information, and The corresponding mathematics teaching 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 mathematical learning target, the basic information, the first feature information, and the corresponding information when the user actually completes the mathematics teaching plan (ie, when the difference between the obtained feature information and the second feature information is within a preset range) The mathematics teaching plan, the adjustment plan, the completion time, and the feature information obtained during the adjustment process are all saved in 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 user's mathematical learning objectives, basic information, first feature information, fifth feature information, and corresponding mathematics teaching plans to a preset database, the third feature information and its corresponding acquisition time may be Adjustment scheme and its 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 four feature information and its corresponding acquisition time are saved in the preset database, which will expand the data volume of the preset database, thereby providing more reference for future users, and improving the accuracy of the subsequent mathematics teaching plan and Suitability.

The present application further provides a computer readable storage medium having a mathematics teaching program stored thereon, the math teaching program being executed by a processor to implement the math teaching method according to any of the above embodiments. step.

The specific embodiment of the computer readable storage medium of the present application is substantially the same as the embodiments of the above mathematical teaching method, and details 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 mathematics teaching method, wherein the mathematics teaching method comprises the following steps:

And when the user-triggered mathematics teaching plan generation instruction is received, acquiring corresponding user information according to the mathematical learning target in the mathematics teaching plan generation instruction, where the user information includes basic information and first feature information, where the basic information is at least Including gender, IQ, mathematics learning foundation, memory genes, smart genes, comprehension genes and thinking genes;

Performing a search in the preset database according to the basic information and the mathematical learning target, and obtaining second feature information of the learner that matches the basic information and has completed the mathematical 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 mathematics teaching plan is acquired from the preset database.
The math instruction method according to claim 1, wherein when the user-triggered math instruction plan generation instruction is received, the corresponding user information is acquired according to the mathematics learning target in the mathematics teaching plan generation instruction, the user The information includes basic information and first feature information, including:

When receiving the mathematics teaching plan generation instruction triggered by the user, determining a corresponding detection item according to the mathematical learning target in the mathematics teaching 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 method of teaching mathematics according to claim 1, wherein the method of teaching mathematics 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 mathematics teaching plan.
The mathematics 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 math 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 After the step of adjusting according to 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 mathematics teaching plan according to the prompt information.
The method of teaching mathematics according to claim 1, wherein the method of teaching mathematics further comprises:

After receiving the mathematics teaching plan completion instruction triggered by the user, acquiring the fifth feature information of the user, and saving the mathematical learning target, the basic information, the first feature information, the fifth feature information, and the corresponding mathematics teaching plan of the user To the preset database.
The math teaching method according to claim 1, wherein, when the user-triggered mathematics teaching plan generation instruction is received, before the step of acquiring the corresponding user information according to the mathematical learning target in the mathematics teaching plan generation instruction, include:

The basic information, the second feature information, and the mathematics teaching plan of the learner who has completed the mathematical learning goal are received and stored in the preset database.
The math instruction method according to claim 1, wherein the basic information further comprises one or more of an age, a body parameter, an emotion gene, and a focus gene, the first feature information and the second feature information including a limb Motion features and micro-expression features.
A mathematics teaching apparatus, wherein the mathematics teaching apparatus comprises: a memory, a processor, and a mathematics teaching program stored on the memory and operable on the processor, the mathematics teaching program being the processor The following steps are implemented during execution:

And when the user-triggered mathematics teaching plan generation instruction is received, acquiring corresponding user information according to the mathematical learning target in the mathematics teaching plan generation instruction, where the user information includes basic information and first feature information, where the basic information is at least Including gender, IQ, mathematics learning foundation, memory genes, smart genes, comprehension genes and thinking genes;

Performing a search in the preset database according to the basic information and the mathematical learning target, and obtaining second feature information of the learner that matches the basic information and has completed the mathematical 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 mathematics teaching plan is acquired from the preset database.
The math instruction apparatus according to claim 9, wherein said math instruction program is further executed by said processor to:

When receiving the mathematics teaching plan generation instruction triggered by the user, determining a corresponding detection item according to the mathematical learning target in the mathematics teaching 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 math instruction apparatus according to claim 9, wherein said math instruction 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 mathematics teaching plan.
The math instruction apparatus according to claim 11, wherein said math instruction 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 math instruction apparatus according to claim 11, wherein said math instruction 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 mathematics teaching plan according to the prompt information.
The math instruction apparatus according to claim 9, wherein said math instruction program is further executed by said processor to:

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

The basic information, the second feature information, and the mathematics teaching plan of the learner who has completed the mathematical learning goal are received and stored in the preset database.
The mathematics teaching apparatus according to claim 9, wherein said basic information further comprises one or more of age, body parameters, emotion genes, and gene of interest, said first feature information and second feature information including limbs Motion features and micro-expression features.
A computer readable storage medium, wherein the computer readable storage medium stores a mathematics teaching program, the math teaching program being executed by a processor to implement the following steps:

And when the user-triggered mathematics teaching plan generation instruction is received, acquiring corresponding user information according to the mathematical learning target in the mathematics teaching plan generation instruction, where the user information includes basic information and first feature information, where the basic information is at least Including gender, IQ, mathematics learning foundation, memory genes, smart genes, comprehension genes and thinking genes;

Performing a search in the preset database according to the basic information and the mathematical learning target, and obtaining second feature information of the learner that matches the basic information and has completed the mathematical 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 mathematics teaching plan is acquired from the preset database.
The computer readable storage medium of claim 17, wherein the math instruction program is further executed by the processor to:

When receiving the mathematics teaching plan generation instruction triggered by the user, determining a corresponding detection item according to the mathematical learning target in the mathematics teaching 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 math instruction 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 mathematics teaching plan.
The computer readable storage medium of claim 19, wherein the mathematics 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.