WO2022095458A1

WO2022095458A1 - Wisdom education aiot student growth ability model big data platform and apparatus

Info

Publication number: WO2022095458A1
Application number: PCT/CN2021/101106
Authority: WO
Inventors: 刘天琼
Original assignee: 深圳市爱云信息科技有限公司
Priority date: 2020-11-03
Filing date: 2021-06-19
Publication date: 2022-05-12
Also published as: CN112330507A

Abstract

A wisdom education AIOT student growth ability model big data platform and apparatus. The wisdom education AIOT student growth ability model big data platform comprises an electronic archive module (1), a family-school interaction module (2), a student portrait module (3), a quality-oriented education module (4), a growth way module (5) and a management function module (6), wherein the quality-oriented education module (4) is used for establishing a quality-oriented education resource library by means of gathering student quality-oriented education project data, quality-oriented education archives and evaluation results, the quality-oriented education resource library covering education modes of three dimensions, i.e. morality, intelligence and physical strength, so as to form a robust and scientific evaluation standard; and the growth way module (5) is used for forming a database by means of recording learning habits of students, and providing objective suggestions for the growth of the students by means of data accumulation and data analysis. Therefore, the advantages, that is, objectification and customization, of artificial intelligence applied to quality-oriented education and growth education are realized.

Description

Smart Education AIOT Student Growth Ability Model Big Data Platform and Device

technical field

The invention relates to the field of smart digital education, in particular to a smart education AIOT student growth ability model big data platform and device.

Background technique

With the continuous in-depth development of artificial intelligence, smart digital education has become an inevitable trend in the development of education. The main advantages of the combination of artificial intelligence and the education industry are as follows:

First, quality education. Promote the continuous improvement of students' quality education system, and establish and improve scientific evaluation standards; gather information on students' quality education projects to form quality education files and evaluation results, which are conducive to students' later studies, study abroad and employment; establish a quality education resource database, and To guide and promote parents to do a good job of quality education for students (morality, etiquette, labor, society, interest cultivation, etc.); to promote the overall growth of students into a person with a sound personality, noble morality, strong perseverance, high comprehensive quality, and comprehensive development of skills ; Teaching students in accordance with their aptitude, discovering the special potential of students and guiding parents to establish the development direction of their children in a targeted manner.

Second, growth education. By recording students' study habits (part of the data is provided by parents, such as study time, extracurricular remedial classes, reading of extracurricular books, types of social activities, whether to play games, etc.) to form records of students' study habits; to provide data to motivate parents, The points system can be adopted, and those with higher points can be rewarded such as viewing some high-authority articles; for outstanding students or students with rapid progress, analyze their study habits and methods, and refine them for reference by other parents; for students with rapid regression , analyze the reasons and give suggestions for improvement; interview outstanding students or students with rapid progress, and ask them to share their excellent experiences and methods; interview the parents of outstanding students and ask them to share their parenting experiences (video or text); After graduation, parents can also summarize and share their successful or failed experiences in elementary school, junior high school and high school); share outstanding students’ study schedules, class notes, compositions, reading lists (pictures or text), and design download and forwarding functions, which can be downloaded by parents Or forward it to your own children to see and discuss; share the educational experience and experience of famous teachers; through the cultivation of general education, everyone can have a solid foundation, and even in ordinary positions, they can show higher literacy and professional skills, Have more knowledge; through the database, AI can automatically recommend matching reference models; of course, through the database, parents can also instill some concepts, not to set unrealistic goals for children, expect miracles, which may be counterproductive In addition to innate factors such as IQ, excellent students will also have some learning methods such as time management and class notes that ordinary students can learn from, so they can upload some note cases, study plans and reference examples, etc. and so on; there are also some excellent practices between schools to learn from; through data accumulation, some relatively objective suggestions will be given for post-event analysis. The reason for the decline or improvement in performance is the increase in study time, the proper learning method, or the improvement of concentration. , etc., give some rationalized suggestions through AI; at the same time, students’ strengths may be related to study habits and extracurricular hobbies, such as reading a lot of literary masterpieces, maybe good in Chinese, good composition, participating in science training camps, maybe mathematics, Physics is good, etc. After the fact that the amount of data is large, its hidden correlations can be analyzed.

Therefore, designing a big data platform for the smart education student growth ability model to realize the advantages of artificial intelligence in the education industry has been an urgent problem to be solved. The present invention realizes the advantages of applying artificial intelligence to quality education and growth education: objectification and customization by designing a big data platform and device for a smart education AIOT student growth ability model, and applying artificial intelligence to students' growth ability analysis.

SUMMARY OF THE INVENTION

In order to overcome the deficiencies of the prior art, the purpose of the present invention is a smart education AIOT student growth ability model big data platform and device, by applying artificial intelligence to the analysis of students' growth ability, to realize the advantages of artificial intelligence applied to quality education and growth education: Objectification and customization.

In order to achieve the above purpose, the technical solution adopted in the present invention is as follows: the present invention provides a smart education AIOT student growth ability model big data platform, which is characterized in that it is used for smart campus construction, including an electronic file module and a home-school interaction module. , student portrait module, quality education module, growth path module and management function module;

The electronic file module is used to establish files for students, which is convenient for centralized and unified management; the home-school interaction module is used to provide interactive functions for parents and schools; the student portrait module is used to suggest customization according to the behavioral characteristics of each student The functional module of the system provides a reference for teachers to teach students according to their aptitude; the quality education module is used to build a quality education resource library by gathering students' quality education project materials, quality education files and evaluation results, covering the three dimensions of morality, intelligence and physique. Education model , in order to form a sound scientific evaluation standard; the growth path module is used to record students' study habits to form a database, and through data accumulation and data analysis, provide objective advice for students' growth; the management function module is used to integrate the The management functions of smart campus include school affairs management function, asset management function, smart teaching function, security management function, one-card management function and learning resource database function.

Further, the quality education module includes a module of moral character, a module of scientific literacy, a module of logical reasoning, a module of participating in a project, a module of politeness and etiquette, a module of humanistic literacy, and a module of interpersonal communication; a module of honors obtained;

The moral character module is used to form a student moral character database by introducing students' moral character norms; the scientific literacy module is used to form a student scientific literacy database by introducing students' scientific literacy norms; the logical reasoning module is used to adopt The AI algorithm analyzes the data accumulation, analyzes the study habits and methods of students, and refines the study habits and methods of outstanding students for reference by other parents. The project module is used to collect, record and save various projects that students have participated in to form a participating project database; the politeness and etiquette module is used to form a student's politeness and etiquette database by introducing the norms of students' politeness and etiquette; the humanistic quality module is used for The student humanistic literacy database is formed by introducing the norms of students' humanistic literacy; the interpersonal communication module is used to form a student interpersonal communication database by introducing the norms of students' interpersonal communication; the honor module is used to collect, record and save the students' achievements All honors form the Student Honors Database.

Further, the growth path module includes a classroom concentration module, a home learning status module, a reading record module, a model sharing module, a progress/regression analysis module, an after-school tutoring class module, a social activity module, and a personalized progress suggestion module;

The classroom concentration module is used to collect, record and save the students' classroom concentration to form a student's classroom concentration database; the at-home learning status module is used to collect, record and save the students' at-home learning status to form a student's home-learning status database Described reading record module is used for collecting, recording and saving student reading record, forming student reading record database; Described model sharing module is used for collecting, recording and saving student model, forming student model database; Described progress/regression analysis module Used to collect, record and save students' learning records and test scores, form a student progress/regression database, and find out the reasons for students' progress/regression by analyzing the data of the student progress/regression database; the extracurricular tutoring class The module is used to collect, record and save students' extracurricular remedial classes to form a student extracurricular remedial class database; the social activity module is used to collect, record and save students' social activities to form a student social activity database; the personalized progress suggestion module It is used to give personalized progress suggestions for students by analyzing the data of the student progress/regression database.

Further, the electronic file module includes a basic information module, a score record module, a community activity module, a test paper information module, a health information module, a reward and punishment record module, a teacher comment module, and an assignment record module;

The basic information module is used to collect, record and save the basic information of students to form a student basic information database; the grade record module is used to collect, record and save the grades of the students to form a student grade record database; the community activity module Used to collect, record and save students' club activities to form a database of student club activities; the test paper information module is used to collect, record and save student test paper information to form a student test paper information database; the health information module is used to collect, record and save student health information to form a student health information database; the reward and punishment record module is used to collect, record and save student reward and punishment records, and form a student reward and punishment record database; the teacher comment module is used to collect, record and save teachers’ opinions on students. comments to form a teacher comment database; the homework record module is used to collect, record and save student homework records to form a student homework record database.

Further, the home-school interaction module includes a notification announcement module, an electronic fake slip module, a course elective module, a photo wall module, a private message message module, a cloud home visit module, a parent-child assignment module, and a resource recommendation module;

The notice announcement module is used for the school to issue notice notices, and to collect, record and save the school notice notices to form a school notice notice database; the electronic fake slip module is used for students to apply for electronic fake slips, and to collect, record and save the students' electronic slip slips To form a student's electronic slip database; the course elective module is used for students to select elective courses, and to collect, record and save students' elective courses to form a student course elective database; the photo wall module is used to collect, record and save students' style Photos form a database of student photo walls; the private message module is used for parents and teachers to interact with private messages, and saves records of private messages between parents and teachers; the cloud home visit module is used for teachers to conduct remote home visits; the parent-child homework module is used for It is used to collect, record and save student work to form a student work database for parents to query; the resource recommendation module is used to publish the learning resources recommended by the school to parents.

Further, the student portrait module includes an achievement analysis module, a hobby module, a character trait module, and a mental health module;

The achievement analysis module is used to collect, record and save student achievement to form a student achievement database, and to analyze the data of the student achievement database, to judge whether the student is progressing or regressing from the student achievement trend, and the knowledge points that need to be strengthened; The hobby module is used to collect, record and save students' hobbies to form a database of students' hobbies; the character trait module is used to collect, record and save the student's character traits to form a student character trait database; the mental health The module is used to collect, record and save the students' mental health survey feedback to form a student's mental health database.

Further, the management function module includes a school affairs management module, an asset management module, a smart teaching module, a safety management module, a one-card management module, and a learning resource library module;

The school affairs management module is used to implement the school affairs management function, the asset management module is used to implement the asset management function, the smart teaching module is used to implement the smart teaching function, and the security management module is used for In order to implement the security management function, the one-card management module is used to implement the one-card management function, and the learning resource library module is used to implement the learning resource library function.

The present invention also provides a smart education AIOT student growth ability model big data device, including a server, a computer terminal and a mobile terminal for realizing the above-mentioned smart education AIOT student growth ability model big data platform.

Further, the mobile terminal includes a tablet computer and a mobile phone.

Further, the data acquisition device of the device is provided with an artificial intelligence chip.

Compared with the prior art, the beneficial effect of the present invention is that the smart education AIOT student growth ability model big data platform provided by the present invention includes an electronic file module, a home-school interaction module, a student portrait module, a quality education module, and a growth path module. And the management function module; the quality education module is used to build a quality education resource library by gathering students' quality education project materials, quality education files and evaluation results, covering the three dimensions of morality, intelligence and physique. Educational models to form sound scientific evaluation standards ;The way of growth module is used to form a database by recording students' study habits, and provide objective suggestions for students' growth through data accumulation and data analysis; thus realizing the advantages of artificial intelligence applied to quality education and growth education: objectification and customization .

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without any creative effort.

FIG. 1 is a system structure diagram of a big data platform for a smart education AIOT student growth ability model provided by an embodiment of the present invention.

FIG. 2 is a structural diagram of an electronic file module of a big data platform for a smart education AIOT student growth ability model provided by an embodiment of the present invention.

FIG. 3 is a structural diagram of a home-school interaction module of a smart education AIOT student growth ability model big data platform provided by an embodiment of the present invention.

FIG. 4 is a structural diagram of a student portrait module of a smart education AIOT student growth ability model big data platform provided by an embodiment of the present invention.

FIG. 5 is a structural diagram of a quality education module of a big data platform for a smart education AIOT student growth ability model provided by an embodiment of the present invention.

FIG. 6 is a structural diagram of a growth path module of a smart education AIOT student growth ability model big data platform provided by an embodiment of the present invention.

FIG. 7 is a structural diagram of a management function module of a big data platform for a smart education AIOT student growth ability model provided by an embodiment of the present invention.

The marks in the above drawings are 01, smart campus; 1, electronic file module; 2, home-school interaction module; 3, student portrait module; 4, quality education module; 5, growth path module; 6, management function module; 11. Basic information module; 12. Score recording module; 13. Community activity module; 14. Exam paper information module; 15. Health information module; 16. Rewards and punishment recording module; 17. Teacher comment module; 18. Homework recording module; 21. Notification and announcement module; 22. Electronic leave module; 23. Course elective module; 24. Photo wall module; 25. Private message module; 26. Cloud home visit module; 27. Parent-child assignment module; 28. Resource recommendation module; 31. Score analysis module; 32, hobbies module; 33, personality trait module; 34, mental health module; 41, moral character module; 42, scientific literacy module; 43, logical reasoning module; 44, participating project module; 45, courtesy and etiquette module; 46. Humanistic literacy module; 47. Interpersonal communication module; 48. Honors module; 51. Classroom concentration module; 52. Home learning status module; 53. Reading record module; Analysis module; 56. After-school tutoring module; 57. Social activity module; 58. Personalized progress suggestion module; 61. School affairs management module; 62. Asset management module; 63. Smart teaching module; 64. Safety management module; 65 , One-card management module; 66. Learning resource library module.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

The same or similar numbers in the drawings of this embodiment correspond to the same or similar components; in the description of the present invention, it should be understood that if there are terms such as "upper", "lower", "left", "right", etc. The indicated orientation or positional relationship is based on the orientation or positional relationship shown in the accompanying drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the indicated device or element must have a specific orientation or a specific orientation. structure and operation, so the terms describing the positional relationship in the accompanying drawings are only used for exemplary illustration, and should not be construed as a limitation on this patent, and those of ordinary skill in the art can understand the specific meanings of the above terms according to specific situations.

The technical solutions of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

1, the present invention provides a smart education AIOT student growth ability model big data platform for the construction of smart campus 01, including electronic file module 1, home-school interaction module 2, student portrait module 3, quality education module 4, Growth path module 5 and management function module 6;

The electronic file module 1 is used to establish files for students, which is convenient for centralized and unified management; the home-school interaction module 2 is used to provide interactive functions for parents and schools; the student portrait module 3 is used to suggest customized function modules according to the behavior characteristics of each student , to provide reference for teachers to teach students according to their aptitude; quality education module 4 is used to build a quality education resource library by gathering students' quality education project materials, quality education files and evaluation results, covering three dimensions of morality, intelligence and physique. Scientific evaluation standard; Growth Way Module 5 is used to record students' study habits to form a database, and provide objective advice for students' growth through data accumulation and data analysis; Management Function Module 6 is used to integrate the management functions of Smart Campus 01, including School affairs management function, asset management function, smart teaching function, safety management function, one-card management function and learning resource database function.

The smart education AIOT student growth ability model big data platform provided by the above technical solution includes electronic file module 1, home-school interaction module 2, student portrait module 3, quality education module 4, growth path module 5 and management function module 6; Education module 4 is used to build a quality education resource library by gathering students' quality education project materials, quality education files and evaluation results, covering the three dimensions of moral, intellectual and physical education models to form a sound scientific evaluation standard; the way of growth module 5 It is used to form a database by recording students' study habits, and provide objective suggestions for students' growth through data accumulation and data analysis; thus realizing the advantages of artificial intelligence applied to quality education and growth education: objectification and customization.

As an embodiment of the present invention, referring to FIG. 5 , the quality education module 4 includes a moral character module 41 , a scientific literacy module 42 , a logical reasoning module 43 , a project participation module 44 , a courtesy module 45 , a humanistic literacy module 46 , and an interpersonal communication module. Module 47; Honors Module 48;

The moral character module 41 is used to form a student moral character database by introducing the norms of students' moral character; the scientific literacy module 42 is used to form a student scientific literacy database by introducing the students' scientific literacy norm; the logical reasoning module 43 is used to use AI algorithms to Analyze data accumulation, analyze students' study habits and methods, refine the study habits and methods of outstanding students for reference by other parents, and analyze the reasons and give improvement suggestions for students who regress faster; Participate in project module 44 for Collect, record and save various projects that students have participated in to form a participating project database; the politeness and etiquette module 45 is used to form a student's politeness and etiquette database by introducing the norms of students' politeness and etiquette; the humanistic literacy module 46 is used to introduce the students' humanistic literacy norms. The interpersonal communication module 47 is used to form a student interpersonal communication database by introducing the norms of student interpersonal communication; the honor module 48 is used to collect, record and save all the honors obtained by the students to form the student honor database .

As an embodiment of the present invention, referring to FIG. 6 , the growth path module 5 includes a classroom concentration module 51, a home learning status module 52, a reading record module 53, an example sharing module 54, a progress/regression analysis module 55, and extracurricular tutoring. Class module 56, social activity module 57, personalized progress suggestion module 58;

The classroom concentration module 51 is used to collect, record and save the students' classroom concentration to form a student's classroom concentration database; the home learning status module 52 is used to collect, record and save the students' home learning status to form a student's home learning status database; The recording module 53 is used to collect, record and save students' reading records to form a database of students' reading records; the model sharing module 54 is used to collect, record and save student models to form a student model database; the progress/regression analysis module 55 is used to collect, record And save the students' learning records and test scores, form a student progress/regression database, and find out the reasons for the student's progress/regression by analyzing the data of the student progress/regression database; extracurricular tutoring class module 56 is used to collect, record and save Students' extracurricular remedial classes form a student remedial class database; the social activity module 57 is used to collect, record and save students' social activities, and form a student social activity database; the personalized progress suggestion module 58 is used to pass the student progress/regression database. The data is analyzed, and personalized progress suggestions are given for students.

As an embodiment of the present invention, referring to FIG. 2 , the electronic file module 1 includes a basic information module 11, a score recording module 12, a community activity module 13, a test paper information module 14, a health information module 15, a reward and punishment recording module 16, and teacher comments. module 17, operation record module 18;

The basic information module 11 is used to collect, record and save the basic information of students to form a student basic information database; the grade record module 12 is used to collect, record and save the students' grades to form a student grade record database; the community activity module 13 is used to collect , record and save students' club activities, and form a database of student club activities; the test paper information module 14 is used to collect, record and save student test paper information, and form a student test paper information database; the health information module 15 is used to collect, record and save student health information , forming a student health information database; the reward and punishment record module 16 is used to collect, record and save the student reward and punishment records, and form a student reward and punishment record database; the teacher comment module 17 is used to collect, record and save the teacher's comments on the students, forming a teacher comment database; The homework record module 18 is used to collect, record and save student homework records to form a student homework record database.

As an embodiment of the present invention, referring to FIG. 3, the home-school interaction module 2 includes a notification announcement module 21, an electronic slip module 22, a course elective module 23, a photo wall module 24, a private message module 25, a cloud home visit module 26, a parent-child module Job module 27, resource recommendation module 28;

The notification bulletin module 21 is used for the school to issue notification bulletins, and collect, record and save the school notification bulletins to form the school notification bulletin database; the electronic slip module 22 is used for students to apply for electronic slips, and collect, record and save the students' electronic slips to form The student electronic slip database; the course elective module 23 is used for students to select elective courses, and collect, record and save the students' elective courses to form the student course elective database; the photo wall module 24 is used to collect, record and save the student's style photos to form a student Photo wall database; private message module 25 is used for parents and teachers to interact with private messages, and saves records of parents and teachers' private messages; cloud home visit module 26 is used for teachers to conduct remote home visits; parent-child homework module 27 is used to collect, record and save students Homework to form a student homework database for parents to query; the resource recommendation module 28 is used to publish the learning resources recommended by the school to parents.

As an embodiment of the present invention, referring to FIG. 4 , the student portrait module 3 includes an achievement analysis module 31, a hobby module 32, a personality characteristic module 33, and a mental health module 34;

The achievement analysis module 31 is used to collect, record and save student achievement to form a student achievement database, and to analyze the data of the student achievement database, to judge whether the student is progressing or regressing from the student achievement trend, and the knowledge points that need to be strengthened; the hobby module 32 is used to collect, record and save students' interests and hobbies to form a database of students' interests and hobbies; the character trait module 33 is used to collect, record and save the student's character traits to form a student's character trait database; the mental health module 34 is used to collect, record And save students' mental health survey feedback to form a student mental health database.

As an embodiment of the present invention, referring to FIG. 7 , the management function module 6 includes a school affairs management module 61, an asset management module 62, a smart teaching module 63, a security management module 64, a one-card management module 65, and a learning resource library module 66;

The school affairs management module 61 is used to realize the school affairs management function, the asset management module 62 is used to realize the asset management function, the intelligent teaching module 63 is used to realize the intelligent teaching function, the safety management module 64 is used to realize the safety management function, and the one-card management module 65 It is used for realizing the function of one-card management, and the learning resource library module 66 is used for realizing the function of learning resource library.

Preferably, the models and databases, algorithms, rules, specifications, data collection, recording and storage methods involved in all modules involved in the above technical solutions all use existing, public and mature models and databases, algorithms, rules , specifications, data collection, recording and storage methods, and implementation methods all adopt open, mature, open-source program architectures and program codes, and those skilled in the art can easily adopt existing and public programs and methods according to this technical solution. , program architecture and program code implementation.

The invention also provides a smart education AIOT student growth ability model big data device, including a server, a computer terminal and a mobile terminal for realizing a smart education AIOT student growth ability model big data platform.

Specifically, mobile terminals include tablet computers and mobile phones;

Specifically, the data acquisition device of the device is provided with an artificial intelligence chip.

The embodiments of the present invention have been described in detail above, but the creation of the present invention is not limited to the present embodiment. Those skilled in the art can also make many equivalent modifications or substitutions without departing from the spirit of the present invention. These equivalent modifications or substitutions are all included within the protection scope defined by the claims of the present application.

Claims

A smart education AIOT student growth ability model big data platform, characterized in that it is used for smart campus construction, including an electronic file module, a home-school interaction module, a student portrait module, a quality education module, a growth path module, and a management function module;

The electronic file module is used to establish files for students, which is convenient for centralized and unified management; the home-school interaction module is used to provide interactive functions for parents and schools; the student portrait module is used to suggest customization according to the behavioral characteristics of each student The functional module of the system provides a reference for teachers to teach students according to their aptitude; the quality education module is used to build a quality education resource library by gathering students' quality education project materials, quality education files and evaluation results, covering the three dimensions of morality, intelligence and physique. Education model , in order to form a sound scientific evaluation standard; the growth path module is used to record students' study habits to form a database, and through data accumulation and data analysis, provide objective advice for students' growth; the management function module is used to integrate the The management functions of smart campus include school affairs management function, asset management function, smart teaching function, security management function, one-card management function and learning resource database function.
A smart education AIOT student growth ability model big data platform according to claim 1, wherein the quality education module includes a moral character module, a scientific literacy module, a logical reasoning module, a participation project module, a courtesy and etiquette module, Humanistic literacy module, interpersonal communication module; honor module;

The moral character module is used to form a student moral character database by introducing students' moral character norms; the scientific literacy module is used to form a student scientific literacy database by introducing students' scientific literacy norms; the logical reasoning module is used to adopt The AI algorithm analyzes the data accumulation, analyzes the study habits and methods of students, and refines the study habits and methods of outstanding students for reference by other parents. The project module is used to collect, record and save various projects that students have participated in to form a participating project database; the politeness and etiquette module is used to form a student's politeness and etiquette database by introducing the norms of students' politeness and etiquette; the humanistic quality module is used for The student humanistic literacy database is formed by introducing the norms of students' humanistic literacy; the interpersonal communication module is used to form a student interpersonal communication database by introducing the norms of students' interpersonal communication; the honor module is used to collect, record and save the students' achievements All honors form the Student Honors Database.
A smart education AIOT student growth ability model big data platform according to claim 1, wherein the growth path module includes a classroom concentration module, a home learning status module, a reading record module, an example sharing module, and a progress module. /Regression analysis module, extracurricular tutoring module, social activity module, personalized progress suggestion module;

The classroom concentration module is used to collect, record and save the students' classroom concentration to form a student's classroom concentration database; the at-home learning status module is used to collect, record and save the students' at-home learning status to form a student's home-learning status database Described reading record module is used for collecting, recording and saving student reading record, forming student reading record database; Described model sharing module is used for collecting, recording and saving student model, forming student model database; Described progress/regression analysis module Used to collect, record and save students' learning records and test scores, form a student progress/regression database, and find out the reasons for students' progress/regression by analyzing the data of the student progress/regression database; the extracurricular tutoring class The module is used to collect, record and save students' extracurricular remedial classes to form a student extracurricular remedial class database; the social activity module is used to collect, record and save students' social activities to form a student social activity database; the personalized progress suggestion module It is used to give personalized progress suggestions for students by analyzing the data of the student progress/regression database.
A smart education AIOT student growth ability model big data platform according to claim 1, wherein the electronic file module includes a basic information module, a score record module, a community activity module, a test paper information module, a health information module, Reward and punishment record module, teacher comment module, homework record module;

The basic information module is used to collect, record and save the basic information of students to form a student basic information database; the grade record module is used to collect, record and save the grades of the students to form a student grade record database; the community activity module Used to collect, record and save students' club activities to form a database of student club activities; the test paper information module is used to collect, record and save student test paper information to form a student test paper information database; the health information module is used to collect, record and save student health information to form a student health information database; the reward and punishment record module is used to collect, record and save student reward and punishment records, and form a student reward and punishment record database; the teacher comment module is used to collect, record and save teachers’ opinions on students. comments to form a teacher comment database; the homework record module is used to collect, record and save student homework records to form a student homework record database.
A smart education AIOT student growth ability model big data platform according to claim 1, wherein the home-school interaction module includes a notification announcement module, an electronic fake note module, a course elective module, a photo wall module, and a private message module , cloud home visit module, parent-child homework module, resource recommendation module;

The notice announcement module is used for the school to issue notice notices, and to collect, record and save the school notice notices to form a school notice notice database; the electronic fake slip module is used for students to apply for electronic fake slips, and to collect, record and save the students' electronic slip slips To form a student's electronic slip database; the course elective module is used for students to select elective courses, and to collect, record and save students' elective courses to form a student course elective database; the photo wall module is used to collect, record and save students' style Photos form a database of student photo walls; the private message module is used for parents and teachers to interact with private messages, and saves records of private messages between parents and teachers; the cloud home visit module is used for teachers to conduct remote home visits; the parent-child homework module is used for It is used to collect, record and save student work to form a student work database for parents to query; the resource recommendation module is used to publish the learning resources recommended by the school to parents.
The smart education AIOT student growth ability model big data platform according to claim 1, wherein the student portrait module includes an achievement analysis module, a hobby module, a personality trait module, and a mental health module;

The achievement analysis module is used to collect, record and save student achievement to form a student achievement database, and to analyze the data of the student achievement database, to judge whether the student is progressing or regressing from the student achievement trend, and the knowledge points that need to be strengthened; The hobby module is used to collect, record and save students' hobbies to form a database of students' hobbies; the character trait module is used to collect, record and save the student's character traits to form a student character trait database; the mental health The module is used to collect, record and save the students' mental health survey feedback to form a student's mental health database.
A smart education AIOT student growth ability model big data platform according to claim 1, wherein the management function module comprises a school affairs management module, an asset management module, a smart teaching module, a safety management module, and a one-card management module , Learning resource library module;

The school affairs management module is used to implement the school affairs management function, the asset management module is used to implement the asset management function, the smart teaching module is used to implement the smart teaching function, and the security management module is used for In order to implement the security management function, the one-card management module is used to implement the one-card management function, and the learning resource library module is used to implement the learning resource library function.
A smart education AIOT student growth ability model big data device is characterized by comprising a server, a computer terminal and a mobile terminal for realizing the smart education AIOT student growth ability model big data platform as described in claims 1 to 7.
The smart education AIOT student growth ability model big data device according to claim 8, wherein the mobile terminal comprises a tablet computer and a mobile phone.
A smart education AIOT student growth ability model big data device according to claim 8, characterized in that the data acquisition device of the device is provided with an artificial intelligence chip.