CN113793238A - Education system and method - Google Patents
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Abstract
The invention provides an education system and method, and relates to the technical field of teaching. The education system acquires basic information of each student and basic information of a teacher in a class through a first basic information acquisition module, and a first characteristic information generation module performs characteristic analysis on each student and each teacher respectively by adopting a preset characteristic model according to the basic information of each student and the basic information of the teacher to generate characteristic information of each student and characteristic information of the teacher; analyzing the characteristics of students and teachers through a preset characteristic model, and then counting the characteristic information of each student by a counting module to generate class characteristic information; and finally, inputting the class characteristic information and the teacher characteristic information into a preset education and teaching model by a first scheme generation module to generate a teaching scheme. The obtained teaching scheme is obtained by considering the characteristics of students in the class, so that the education of the students is pointed, and the development of the students is facilitated.
Description
Technical Field
The invention relates to the technical field of teaching, in particular to an education system and method.
Background
The teaching scheme is the planning arrangement of teachers to the unit teaching process and is the basis for teachers to implement teaching. The effect of teaching performed by the teacher depends to a great extent on the quality of the teaching scheme design. In order to reduce the workload of lessons preparation of teachers and improve the teaching work efficiency, the design content of the teaching scheme is simple, clear, accurate and in-place, and the effect of teaching basis is really played.
However, in the teaching scheme system in the prior art, the corresponding teaching scheme is obtained by acquiring and matching the requirements of the students, and the characteristics of the students in the class are not considered, so that the education of the students is not targeted, and the development of the students is hindered.
Disclosure of Invention
The invention aims to provide an education system and an education method, which are used for improving the problem that in the prior art, a corresponding teaching scheme is obtained by acquiring and matching the requirements of students in a teaching scheme system, and the characteristics of the students in a class are not considered.
In a first aspect, an embodiment of the present application provides an educational system, which includes:
the first basic information acquisition module is used for acquiring basic information of students and basic information of teachers in a class;
the first characteristic information generation module is used for respectively adopting a preset characteristic model to carry out characteristic analysis on each student and each teacher according to the basic information of each student and the basic information of each teacher so as to generate the characteristic information of each student and the characteristic information of each teacher;
the statistical module is used for counting the characteristic information of each student to generate class characteristic information;
and the first scheme generation module is used for inputting the class characteristic information and the characteristic information of the teacher into a preset education teaching model to generate a teaching scheme.
In the implementation process, the basic information of each student and the basic information of a teacher in a class are acquired through the first basic information acquisition module, and then the first characteristic information generation module performs characteristic analysis on each student and each teacher respectively by adopting a preset characteristic model according to the basic information of each student and the basic information of the teacher to generate the characteristic information of each student and the characteristic information of the teacher; the characteristics of students and teachers can be analyzed through a preset characteristic model, and then the statistical module carries out statistics on the characteristic information of each student to generate class characteristic information; the class characteristic information obtained in the way accords with the integral trend of the characteristic information of students in the class, and represents the integral condition of the students in the class; and finally, inputting the class characteristic information and the teacher characteristic information into a preset education and teaching model by a first scheme generation module to generate a teaching scheme. The preset education teaching model comprises teaching schemes corresponding to various feature types, the teaching schemes are designed according to different feature types in an analysis mode, the corresponding teaching schemes can be obtained through the input class feature information, and teachers can teach according to the obtained teaching schemes. The obtained teaching scheme is obtained by considering the characteristics of students in the class, so that the education of the students is pointed, and the development of the students is facilitated.
Based on the first aspect, in some embodiments of the present invention, the method further includes:
and the second scheme generation module is used for inputting the characteristic information of each student and the characteristic information of the teacher into a preset education teaching model to generate a one-to-one teaching scheme.
Based on the first aspect, in some embodiments of the present invention, the method further includes:
the second basic information acquisition module is used for acquiring basic information of parents corresponding to the students;
the second characteristic information generation module is used for performing characteristic analysis on parents corresponding to the students by adopting a preset characteristic model according to the basic information of the parents corresponding to the students to generate the characteristic information of the parents corresponding to the students;
and the second scheme generation module is used for inputting the characteristic information of each student and the characteristic information of parents corresponding to each student into a preset education and teaching model to generate a family teaching scheme.
Based on the first aspect, in some embodiments of the invention, the statistical module comprises:
the first statistical unit is used for counting the internal feature combinations in the feature information of each student to generate class internal feature combinations;
the second statistical unit is used for counting the external feature combinations in the feature information of each student to generate class external feature combinations;
the third statistical unit is used for counting the comprehensive characteristic combinations in the characteristic information of each student to generate class comprehensive characteristic combinations;
and the fourth statistical unit is used for integrating the class internal feature combination, the class external feature combination and the class comprehensive feature combination to generate class feature information.
Based on the first aspect, in some embodiments of the invention, the method includes:
the sample characteristic type acquisition module is used for acquiring various sample characteristic type combinations;
the teaching mode acquisition module is used for acquiring teaching modes corresponding to various sample characteristic type combinations;
and the corresponding module is used for corresponding the characteristic type combination of each sample with the corresponding teaching mode so as to establish an education teaching model.
In a second aspect, embodiments of the present application provide a method of education, comprising the steps of:
acquiring basic information of students and basic information of teachers in a class;
respectively adopting a preset characteristic model to carry out characteristic analysis on each student and each teacher according to the basic information of each student and the basic information of each teacher so as to generate the characteristic information of each student and the characteristic information of each teacher;
counting the characteristic information of each student to generate class characteristic information;
and inputting the class characteristic information and the characteristic information of the teacher into a preset education and teaching model to generate a teaching scheme.
In the implementation process, the basic information of each student and the basic information of a teacher in a class are obtained, and then the characteristic analysis is performed on each student and each teacher respectively by adopting a preset characteristic model according to the basic information of each student and the basic information of the teacher, so that the characteristic information of each student and the characteristic information of the teacher are generated; analyzing the characteristics of students and teachers, and then counting the characteristic information of each student to generate class characteristic information; the class characteristic information obtained in the way accords with the integral trend of the characteristic information of students in the class, and represents the integral condition of the students in the class; and finally, inputting the class characteristic information and the teacher characteristic information into a preset education teaching model to generate a teaching scheme. The preset education teaching model comprises teaching schemes corresponding to various feature types, the teaching schemes are designed according to different feature types in an analysis mode, the corresponding teaching schemes can be obtained through the input class feature information, and teachers can teach according to the obtained teaching schemes. The obtained teaching scheme is obtained by considering the characteristics of students in the class, so that the education of the students is pointed, and the development of the students is facilitated.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory for storing one or more programs; a processor. The one or more programs, when executed by the processor, implement the method of any of the first aspects above.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method according to any one of the above first aspects.
The embodiment of the invention at least has the following advantages or beneficial effects:
the embodiment of the invention provides an education system and method, wherein basic information of each student and basic information of a teacher in a class are acquired through a first basic information acquisition module, and then a first characteristic information generation module is used for respectively carrying out characteristic analysis on each student and each teacher by adopting a preset characteristic model according to the basic information of each student and the basic information of the teacher so as to generate the characteristic information of each student and the characteristic information of the teacher; the characteristics of students and teachers can be analyzed through a preset characteristic model, and then the statistical module carries out statistics on the characteristic information of each student to generate class characteristic information; the class characteristic information obtained in the way accords with the integral trend of the characteristic information of students in the class, and represents the integral condition of the students in the class; and finally, inputting the class characteristic information and the teacher characteristic information into a preset education and teaching model by a first scheme generation module to generate a teaching scheme. The obtained teaching scheme is obtained by considering the characteristics of students in the class, so that the education of the students is pointed, and the development of the students is facilitated. The second scheme generation module can be used for correspondingly obtaining the one-to-one teaching scheme by the characteristic information of the single student and the characteristic information of the teacher, and the obtained one-to-one teaching scheme is fully designed aiming at the characteristics of the student, so that the education of the student is more targeted. The second basic information acquisition module is used for acquiring the basic information of parents corresponding to the students, and the second characteristic information generation module is used for performing characteristic analysis on the parents corresponding to the students by adopting a preset characteristic model according to the basic information of the parents corresponding to the students to generate the characteristic information of the parents corresponding to the students. The second scheme generation module inputs the characteristic information of each student and the characteristic information of the parent corresponding to each student into a preset education teaching model to generate a family teaching scheme, and the obtained family teaching scheme is obtained by matching the characteristic information of the students and the characteristic information of the parents, so that pertinence is achieved, the parents have pertinence to the education of the students, and the development of the students is facilitated.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a block diagram of an educational system according to an embodiment of the present invention;
FIG. 2 is a flow chart of an educational method according to an embodiment of the present invention;
fig. 3 is a block diagram of an electronic device according to an embodiment of the present invention.
Icon: 110-a first basic information acquisition module; 120-a first characteristic information generating module; 130-a statistics module; 140-a first scheme generation module; 101-a memory; 102-a processor; 103-communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Examples
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Referring to fig. 1, fig. 1 is a block diagram of an educational system according to an embodiment of the present invention. The educational system, comprising:
the first basic information acquiring module 110 is used for acquiring basic information of each student in the class and basic information of the teacher. The basic information of the student comprises: the birth date of the student, the birth date of the parents, the birth city of the parents, the love of the parents and the parents, the specialties of the parents, the evaluation result of the student who completes the Webster child, the blood quality type, the cognition type, the character color, the MBTI personality type, the subconscious type of the arborescent, the genetic characteristic information and the like. The basic information of the teacher includes: birth date of the teacher, birth city of the teacher, hobbies of the teacher, specialties of the teacher, education concepts of the teacher, MBTI occupational character test results, blood quality types, cognitive types, character colors, MBTI character types, house tree subconscious types, genetic characteristic information and the like of the teacher. The basic information of the students and the basic information of the teachers can be input by the students and the teachers, and the data can also be directly imported. For example: the information obtained to the student A in the class is as follows: the birth date of student A is 2015, 5 months and 23 days, and the birth dates of parents are respectively: birth date of father is 5 months and 4 days in 1985; the birth date of the mother is 6 months and 4 days in 1987, and the birth cities of the parents are Beijing; love of father and mother: the father is loved by football, and the mother is loved by dancing; the evaluation result of student A for completed Webster children is 140. The information acquired to the teacher a is: the birth date of the teacher A is 5 months and 4 days in 1986, and the birth city of the teacher is Beijing; preference of the teacher: singing; the specialty of the teacher is a piano; the teaching concept of teachers: education and practice are combined; the evaluation result of student A for completed Webster children is 140.
And the first feature information generating module 120 is configured to perform feature analysis on each student and each teacher by using a preset feature model according to the basic information of each student and the basic information of each teacher, and generate feature information of each student and feature information of each teacher. The characteristic analysis of each student and each teacher mainly includes inputting basic information of the students and the teachers into a preset characteristic model, extracting information such as blood quality type, cognition type, character color, MBTI personality type, house tree subconscious type, genetic characteristic, ancient calendar and the like in the basic information, and comparing the information with characteristic information in the preset characteristic model to find out corresponding characteristic information. The characteristic information includes internal characteristic information, external characteristic information and comprehensive characteristic information. The internal characteristics are the blood quality type, cognitive type, character color, MBTI personality type, house tree subconscious type, genetic characteristics (comprehensive parents type) and ancient calendar of the internal characteristics.
The statistic module 130 is configured to perform statistics on the feature information of each student to generate class feature information; the class global feature is that the above types of data of all children are subjected to overall analysis to obtain percentages and summarize tendentiousness. The statistical process is mainly completed by the following units:
the first statistical unit is used for counting the internal feature combinations in the feature information of each student to generate class internal feature combinations; the statistics refers to classifying the internal feature combinations of students in a class, obtaining the number of students in each class, and finally obtaining the combination with the largest number of students as the class internal feature combination. For example: the number of students in class A is 20, wherein the MBTI personality type is: the number of ISTJ was 10, the number of ENFJ was 5, and the number of INTJ was 5; character color: the number of red character persons is 8, the number of yellow character persons is 7, the number of blue character persons is 5, and the cognition type is as follows: the number of people in the independent type and the dependent type is 9, the number of people in the meditation type and the impulse type is 11, and finally, the internal characteristic combination of the class is obtained as follows: the MBTI personality type is: ISTJ; character color: red; the cognitive types are: meditation type and impulse type.
The second statistical unit is used for counting the external feature combinations in the feature information of each student to generate class external feature combinations; the statistics refers to classifying the external feature combinations of students in a class, obtaining the number of students in each class, and finally obtaining the combination with the largest number of students as the class external feature combination. For example: the number of students in the class is 10, wherein the number of students in the target type brother position combination is 8, the number of students in the expression type flowing position combination is 2, and the external characteristic combination of the class is the target type brother position combination.
The third statistical unit is used for counting the comprehensive characteristic combinations in the characteristic information of each student to generate class comprehensive characteristic combinations; the statistics refers to classifying the comprehensive characteristic combinations of students in the class, obtaining the number of students in each class, and finally obtaining the combination with the largest number of students as the comprehensive characteristic combination of the class. For example: the number of students in the class is 8, wherein the number of the target type brother position strong interaction combination is 6, the number of the expression type flow position weak combination is 2, and the class comprehensive characteristic combination is the target type brother position strong interaction combination.
And the fourth statistical unit is used for integrating the class internal feature combination, the class external feature combination and the class comprehensive feature combination to generate class feature information. The integration refers to combining the class internal feature combination, the class external feature combination and the class comprehensive feature combination to obtain the class feature information. For example: the comprehensive characteristics of the class are as follows: the class internal feature combination is as follows: the MBTI personality type is: ISTJ; character color: red; the cognitive types are: meditation type and impulse type; the class appearance feature combination is as follows: target type brother bit combination; the comprehensive characteristic combination of the classes is as follows: and (4) strongly interactive combination of the brothers of the target type.
And the first scheme generation module 140 is configured to input the class characteristic information and the teacher characteristic information into a preset education and teaching model to generate a teaching scheme. The method is mainly completed by the following modules:
the sample characteristic type acquisition module is used for acquiring various sample characteristic type combinations; the sample feature type combination comprises a plurality of types, and each sample feature type combination comprises an internal feature combination, an external feature combination and a comprehensive feature combination.
The teaching mode acquisition module is used for acquiring teaching modes corresponding to various sample characteristic type combinations; the teaching mode is designed by combining teachers with different sample characteristic types according to experiences, and comprises attitude, interaction mode, growth planning and the like of students. The teaching mode acquisition module inputs data of various teaching modes.
And the corresponding module is used for corresponding the characteristic type combination of each sample with the corresponding teaching mode so as to establish an education teaching model.
In the implementation process, the basic information of each student and the basic information of a teacher in a class are acquired through the first basic information acquisition module 110, and then the first characteristic information generation module 120 performs characteristic analysis on each student and each teacher respectively by using a preset characteristic model according to the basic information of each student and the basic information of each teacher to generate the characteristic information of each student and the characteristic information of each teacher; the characteristics of students and teachers can be analyzed through a preset characteristic model, and then the statistical module 130 carries out statistics on the characteristic information of each student to generate class characteristic information; the class characteristic information obtained in the way accords with the integral trend of the characteristic information of students in the class, and represents the integral condition of the students in the class; finally, the first scheme generation module 140 inputs the class characteristic information and the teacher characteristic information into a preset education and teaching model to generate a teaching scheme. The preset education teaching model comprises teaching schemes corresponding to various feature types, the teaching schemes are designed according to different feature types in an analysis mode, the corresponding teaching schemes can be obtained through the input class feature information, and teachers can teach according to the obtained teaching schemes. The obtained teaching scheme is obtained by considering the characteristics of students in the class, so that the education of the students is pointed, and the development of the students is facilitated.
In the teaching scene needing one-to-one, the corresponding teaching scheme can be obtained through the following modules:
and the second scheme generation module is used for inputting the characteristic information of each student and the characteristic information of the teacher into a preset education teaching model to generate a one-to-one teaching scheme. The preset education teaching model can obtain a corresponding teaching scheme by corresponding to the characteristic information of students and the characteristic information of teachers.
In the implementation process, the characteristic information of a single student and the characteristic information of a teacher can be correspondingly obtained through the second scheme generation module to obtain a one-to-one teaching scheme, and the obtained one-to-one teaching scheme is fully designed aiming at the characteristics of the student, so that the education of the student is more targeted, and the development of the student is facilitated.
Wherein, student's education still can not leave the head of a family, can also obtain through following module to family's teaching scheme:
the second basic information acquisition module is used for acquiring basic information of parents corresponding to the students; the basic information of the parents comprises the color of the character, the MBTI professional character test result completed by the parents, the cognition type, the house tree subconscious type and the like.
The second characteristic information generation module is used for performing characteristic analysis on parents corresponding to the students by adopting a preset characteristic model according to the basic information of the parents corresponding to the students to generate the characteristic information of the parents corresponding to the students; and matching the acquired basic information of the parents in a preset characteristic model to obtain the characteristic information of the parents corresponding to the students.
And the second scheme generation module is used for inputting the characteristic information of each student and the characteristic information of parents corresponding to each student into a preset education and teaching model to generate a family teaching scheme. And obtaining a corresponding teaching scheme by matching the characteristic information of the students with the characteristic information of parents corresponding to the students, and taking the corresponding teaching scheme as a family teaching scheme.
In the implementation process, the second basic information acquisition module acquires the basic information of parents corresponding to each student, and the second characteristic information generation module performs characteristic analysis on the parents corresponding to each student by adopting a preset characteristic model according to the basic information of the parents corresponding to each student to generate the characteristic information of the parents corresponding to each student. The second scheme generation module inputs the characteristic information of each student and the characteristic information of the parent corresponding to each student into a preset education teaching model to generate a family teaching scheme, and the obtained family teaching scheme is obtained by matching the characteristic information of the students and the characteristic information of the parents, so that pertinence is achieved, the parents have pertinence to the education of the students, and the development of the students is facilitated.
Based on the same inventive concept, the invention further provides an education method, please refer to fig. 2, and fig. 2 is a flow chart of the education method provided by the embodiment of the invention. The educational method comprises the steps of:
step S110: acquiring basic information of students and basic information of teachers in a class;
step S120: respectively adopting a preset characteristic model to carry out characteristic analysis on each student and each teacher according to the basic information of each student and the basic information of each teacher so as to generate the characteristic information of each student and the characteristic information of each teacher;
step S130: counting the characteristic information of each student to generate class characteristic information;
step S140: and inputting the class characteristic information and the characteristic information of the teacher into a preset education and teaching model to generate a teaching scheme.
In the implementation process, the basic information of each student and the basic information of a teacher in a class are obtained, and then the characteristic analysis is performed on each student and each teacher respectively by adopting a preset characteristic model according to the basic information of each student and the basic information of the teacher, so that the characteristic information of each student and the characteristic information of the teacher are generated; analyzing the characteristics of students and teachers, and then counting the characteristic information of each student to generate class characteristic information; the class characteristic information obtained in the way accords with the integral trend of the characteristic information of students in the class, and represents the integral condition of the students in the class; and finally, inputting the class characteristic information and the teacher characteristic information into a preset education teaching model to generate a teaching scheme. The preset education teaching model comprises teaching schemes corresponding to various feature types, the teaching schemes are designed according to different feature types in an analysis mode, the corresponding teaching schemes can be obtained through the input class feature information, and teachers can teach according to the obtained teaching schemes. The obtained teaching scheme is obtained by considering the characteristics of students in the class, so that the education of the students is pointed, and the development of the students is facilitated.
Referring to fig. 3, fig. 3 is a schematic structural block diagram of an electronic device according to an embodiment of the present disclosure. The electronic device comprises a memory 101, a processor 102 and a communication interface 103, wherein the memory 101, the processor 102 and the communication interface 103 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 can be used for storing software programs and modules, such as program instructions/modules corresponding to the educational system provided in the embodiments of the present application, and the processor 102 executes the software programs and modules stored in the memory 101, thereby executing various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
It will be appreciated that the configuration shown in fig. 3 is merely illustrative and that the electronic device may include more or fewer components than shown in fig. 3 or have a different configuration than shown in fig. 3. The components shown in fig. 3 may be implemented in hardware, software, or a combination thereof.
In the embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other ways. The above-described system embodiments are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
To sum up, in the education system and the method provided in the embodiment of the present application, the first basic information obtaining module 110 obtains the basic information of each student and the basic information of the teacher in the class, and then the first characteristic information generating module 120 performs characteristic analysis on each student and the teacher by respectively using a preset characteristic model according to the basic information of each student and the basic information of the teacher, so as to generate the characteristic information of each student and the characteristic information of the teacher; the characteristics of students and teachers can be analyzed through a preset characteristic model, and then the statistical module 130 carries out statistics on the characteristic information of each student to generate class characteristic information; the class characteristic information obtained in the way accords with the integral trend of the characteristic information of students in the class, and represents the integral condition of the students in the class; finally, the first scheme generation module 140 inputs the class characteristic information and the teacher characteristic information into a preset education and teaching model to generate a teaching scheme. The preset education teaching model comprises teaching schemes corresponding to various feature types, the teaching schemes are designed according to different feature types in an analysis mode, the corresponding teaching schemes can be obtained through the input class feature information, and teachers can teach according to the obtained teaching schemes. The obtained teaching scheme is obtained by considering the characteristics of students in the class, so that the education of the students is pointed, and the development of the students is facilitated.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (8)
1. An educational system, comprising:
the first basic information acquisition module is used for acquiring basic information of students and basic information of teachers in a class;
the first characteristic information generation module is used for respectively adopting a preset characteristic model to carry out characteristic analysis on each student and each teacher according to the basic information of each student and the basic information of each teacher so as to generate the characteristic information of each student and the characteristic information of each teacher;
the statistical module is used for counting the characteristic information of each student to generate class characteristic information;
and the first scheme generation module is used for inputting the class characteristic information and the characteristic information of the teacher into a preset education teaching model to generate a teaching scheme.
2. The educational system of claim 1, further comprising:
and the second scheme generation module is used for inputting the characteristic information of each student and the characteristic information of the teacher into a preset education teaching model to generate a one-to-one teaching scheme.
3. The educational system of claim 1, further comprising:
the second basic information acquisition module is used for acquiring basic information of parents corresponding to the students;
the second characteristic information generation module is used for performing characteristic analysis on parents corresponding to the students by adopting a preset characteristic model according to the basic information of the parents corresponding to the students to generate the characteristic information of the parents corresponding to the students;
and the second scheme generation module is used for inputting the characteristic information of each student and the characteristic information of parents corresponding to each student into a preset education and teaching model to generate a family teaching scheme.
4. The educational system of claim 1, wherein the statistics module comprises:
the first statistical unit is used for counting the internal feature combinations in the feature information of each student to generate class internal feature combinations;
the second statistical unit is used for counting the external feature combinations in the feature information of each student to generate class external feature combinations;
the third statistical unit is used for counting the comprehensive characteristic combinations in the characteristic information of each student to generate class comprehensive characteristic combinations;
and the fourth statistical unit is used for integrating the class internal feature combination, the class external feature combination and the class comprehensive feature combination to generate class feature information.
5. The educational system of claim 1, further comprising:
the sample characteristic type acquisition module is used for acquiring various sample characteristic type combinations;
the teaching mode acquisition module is used for acquiring teaching modes corresponding to various sample characteristic type combinations;
and the corresponding module is used for corresponding the characteristic type combination of each sample with the corresponding teaching mode so as to establish an education teaching model.
6. A method of education comprising the steps of:
acquiring basic information of students and basic information of teachers in a class;
respectively adopting a preset characteristic model to carry out characteristic analysis on each student and each teacher according to the basic information of each student and the basic information of each teacher so as to generate the characteristic information of each student and the characteristic information of each teacher;
counting the characteristic information of each student to generate class characteristic information;
and inputting the class characteristic information and the characteristic information of the teacher into a preset education and teaching model to generate a teaching scheme.
7. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the one or more programs, when executed by the processor, implement the method of any of claims 8.
8. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method of any one of claims 8.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101087339A (en) * | 2006-06-06 | 2007-12-12 | 钟钊 | Home-school interaction system for personalized and efficient home quality education |
| CN105608960A (en) * | 2016-01-27 | 2016-05-25 | 广东外语外贸大学 | Spoken language formative teaching method and system based on multi-parameter analysis |
| CN108009760A (en) * | 2018-01-26 | 2018-05-08 | 合肥工业大学 | Class is humorously into the method and system with evaluation |
| CN108109089A (en) * | 2017-12-15 | 2018-06-01 | 华中师范大学 | A kind of education can computational methods |
| TR201808229A2 (en) * | 2018-06-08 | 2018-06-21 | Enver Demirel Yilmaz | CLASS PLACEMENT SYSTEM PROVIDING A TRAINING ENVIRONMENT |
| CN109189766A (en) * | 2018-10-25 | 2019-01-11 | 重庆鲁班机器人技术研究院有限公司 | Teaching plan acquisition methods, device and electronic equipment |
| CN111415283A (en) * | 2020-04-15 | 2020-07-14 | 上海复岸网络信息科技有限公司 | Factor analysis method and device for effective online teaching |
-
2021
- 2021-04-26 CN CN202110456143.3A patent/CN113793238A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101087339A (en) * | 2006-06-06 | 2007-12-12 | 钟钊 | Home-school interaction system for personalized and efficient home quality education |
| CN105608960A (en) * | 2016-01-27 | 2016-05-25 | 广东外语外贸大学 | Spoken language formative teaching method and system based on multi-parameter analysis |
| CN108109089A (en) * | 2017-12-15 | 2018-06-01 | 华中师范大学 | A kind of education can computational methods |
| CN108009760A (en) * | 2018-01-26 | 2018-05-08 | 合肥工业大学 | Class is humorously into the method and system with evaluation |
| TR201808229A2 (en) * | 2018-06-08 | 2018-06-21 | Enver Demirel Yilmaz | CLASS PLACEMENT SYSTEM PROVIDING A TRAINING ENVIRONMENT |
| CN109189766A (en) * | 2018-10-25 | 2019-01-11 | 重庆鲁班机器人技术研究院有限公司 | Teaching plan acquisition methods, device and electronic equipment |
| CN111415283A (en) * | 2020-04-15 | 2020-07-14 | 上海复岸网络信息科技有限公司 | Factor analysis method and device for effective online teaching |
Non-Patent Citations (2)
| Title |
|---|
| 周红芬;: "情境教学法下的航海英语教学", 浙江国际海运职业技术学院学报, no. 01 * |
| 杨光富: "《传奇教育家杜威》", 31 October 2018, 太原：山西人民出版社, pages: 49 * |
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