CN110727883A - Method and system for analyzing personalized growth map of child - Google Patents
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Abstract
The embodiment of the invention provides a method and a system for analyzing a child personalized growth map, wherein an educational professional writes a child growth voice interaction script suitable for intelligent voice or image interaction equipment according to a child growth index system. The children growth knowledge information is structurally output by the aid of an artificial intelligence technology, semantic understanding and interaction are carried out based on children voice input, voice interaction data of the children are obtained in real time, an individual growth development model is established by taking the children as a unit, a stage growth progress report is output to parents or education workers, cognitive development conditions of the children are verified, and assistance is provided for family education and infant education research. Meanwhile, a personalized customization channel is provided for parents, and the parents can set the time interval for report generation and the pattern display mode to obtain a periodic child growth report.
Description
Technical Field
The invention relates to the technical field of children education, in particular to a method and a system for analyzing a personalized growth map of a child.
Background
At present, the growth of preschool children of 0-6 years old is the key point of attention in family education and kindergarten teaching, the brain of the children grows rapidly and is highly plastic in the period, the growth condition of the children is scientifically detected in real time and tracked to know the cognitive development current situation and law of the children, and the growth monitoring system has important guiding significance for family education and kindergarten teaching. In the past, professional educators develop a comprehensive growth index system aiming at children of 0-6 years old according to the research results of children growth education and the growth rules of children, and how to utilize modern science and technology to more efficiently help parents and educators to complete index monitoring becomes the next important target. With the appearance of intelligent voice interaction equipment, knowledge and content required by the growth of covered infants can be changed into structured information through the design of education professionals, interaction is carried out on the children by means of front-end equipment, voice interaction data of the children are obtained in real time, dynamic cognitive maps with individual attributes are obtained through big data analysis, and reports are generated and displayed to parents or infant education workers.
The prior proposal has the following problems:
at present, parents and educators want to know, track and learn the cognitive development conditions of children and mostly carry out the learning through traditional modes such as communication, test and the like, and the learning is often not deep enough and the efficiency is very low.
Limited by the differences in the individual standards of parents and staff, there is no uniform standard to measure the cognitive development of children.
There are individual differences between children, and tests and surveys at different stages cannot be well tracked and cannot be personalized.
Disclosure of Invention
In view of the above technical problems, embodiments of the present invention provide a method and a system for analyzing a child personalized growth map, which can provide a set of child personalized growth map schemes for children, thereby providing a more intelligent and efficient scheme for child education.
The embodiment of the invention provides a method for analyzing a personalized growth map of a child, which comprises the following steps:
acquiring interactive information of a current user, and analyzing the completion rate of knowledge points of the current user in a database according to the interactive information;
acquiring a knowledge point coverage path of the current user according to the knowledge point completion rate;
counting historical interactive information of a current user at different moments, and establishing a historical knowledge point coverage path for the current user;
and drawing a child personalized growth map corresponding to the current user according to the historical knowledge point coverage path.
Further comprising the steps of:
setting and storing child interaction content script information which is edited according to child growth indexes and covers all knowledge points in the database in advance;
and acquiring the completion rate of the knowledge points of the current user according to the child interactive content script information.
Further comprising the steps of:
the client interacts with a user and acquires interaction information input by the user;
natural language understanding, child intention recognition and child emotion analysis processing are carried out on the interaction information;
and selecting corresponding content script information in the database according to the processing result, interacting with the user, and further acquiring interaction information input by the user.
Further comprising the steps of:
and determining the coverage rate of the knowledge points finished by the current user according to the corresponding knowledge points of the content script information finished in the current user interaction process in the database.
Further comprising the steps of:
drawing a knowledge point coverage path of the current user according to the completion rate of the knowledge points of the current user at different moments;
and drawing a child personalized growth map corresponding to the current user according to the development time of the knowledge point coverage path.
Further comprising the steps of:
and storing the child personalized growth map of each user into the database, and analyzing the common child growth map of all users.
Further comprising the steps of:
and according to the child personalized growth map of the current user and the corresponding time period, finishing the staged child growth report of the current user.
In another aspect, an embodiment of the present invention further provides a child personalized growth map analysis system, which includes at least one client and a server, wherein,
the client is used for interacting with the user, collecting interaction information input by the user and transmitting the interaction information to the server in real time; acquiring content script information returned by the server and displaying the content script information to a user;
and the server is used for interacting with the client, receiving the interaction information input by the user, performing natural language understanding, children intention analysis and emotion analysis processing, and returning the content script information corresponding to the analyzed interaction information to the client.
The client comprises an acquisition module and a network module, wherein,
the acquisition module is used for collecting voice image data of a user through acquisition equipment;
and the network module is used for communicating with the server and transmitting the voice image data to the server in real time.
The server comprises a database module, an intelligent analysis module, an intelligent statistic module and an intelligent selection module, wherein,
the database module is used for storing the child interaction content script information which is edited according to the child growth indexes and covers all knowledge points; the content script information is compiled based on a child growth index system and covers infant capacity culture contents including health, language, science, society and art;
the intelligent analysis module is used for carrying out real-time voiceprint recognition and voice recognition on the interactive information input by the user and collected by the client, carrying out user age calculation, natural language understanding, child emotion analysis and child intention recognition processing, and transmitting the processed result to the intelligent selection module in real time;
the intelligent statistical module is used for acquiring user interaction data and corresponding content script information in the database module, analyzing by using a big data analysis technology, and calculating and analyzing the completion rate of the knowledge points of the current user in the database; acquiring a knowledge point coverage path of the current user according to the knowledge point completion rate; counting historical interactive information of a current user at different moments, and establishing a historical knowledge point coverage path for the current user; drawing a child personalized growth map corresponding to the current user according to the historical knowledge point coverage path;
and the intelligent selection module is used for selecting corresponding content script information for the user by combining the child personalized growth map obtained by the intelligent statistics module and the current interaction data of the user, and pushing the content script information to the client.
The technical scheme has the following advantages or beneficial effects:
in each embodiment of the invention, the educational professional writes the children growth voice interaction script suitable for the intelligent voice or image interaction equipment according to the children growth index system. The children growth knowledge information is structurally output by the aid of an artificial intelligence technology, semantic understanding and interaction are carried out based on children voice input, voice interaction data of the children are obtained in real time, an individual growth development model is established by taking the children as a unit, a stage growth progress report is output to parents or education workers, cognitive development conditions of the children are verified, and assistance is provided for family education and infant education research. Meanwhile, a personalized customization channel is provided for parents, and the parents can set the time interval for report generation and the pattern display mode to obtain a periodic child growth report.
Drawings
Fig. 1 is a flowchart of a method for analyzing a personalized growth map of a child according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a child personalized growth map analysis system according to a second embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
In each embodiment of the invention, an educational professional establishes a systematically perfect children growth index system according to the cognitive development rule of children. And compiling a child education content script suitable for intelligent voice interaction according to the system to form a complete preschool education knowledge network. And a foundation is provided for building an adaptive education system. Meanwhile, the children growth knowledge information is structurally output by using artificial intelligence technologies such as children language understanding, children emotion analysis and children intention recognition, semantic understanding and interaction are carried out based on children voice input, voice interaction data of the children are obtained in real time, interaction data of the children are analyzed by using a big data analysis technology, the completion condition of a knowledge line is calculated, an education push model is established for each user according to historical data at different moments, and self-adaptive education is provided for the users by combining the models and the current interaction data. In the education process, a stage education completion report is generated for the user and output to the control terminal, the education completion condition of the children is checked, and help is provided for family education and infant education research. And a personalized customization channel is provided for the parent control terminal, and parents can adjust the education push model of children, the report generation frequency and the report display form.
Fig. 1 is a flowchart of a method for analyzing a personalized growth map of a child according to an embodiment of the present invention. As shown in fig. 1, the process of analyzing the personalized growth map of the child includes the following steps:
The present embodiment is based on a specific interactive system comprising a plurality of clients and at least one server. The client can be in various forms, for example, the client can be program software or a webpage of a PC side, and can also be an APP or a webpage of a mobile side. Of course, a specific device is also possible. For example, the client may be in the form of a story machine that is easy to communicate with children or other forms that children prefer.
The server of the system is located at the cloud end and is connected with each terminal in real time through a network. The server side is provided with a database, and child interaction content script information which is edited according to child growth indexes and covers all knowledge points is stored in the database. The script information is compiled by education professionals according to a child development index system, a child preschool education content script suitable for intelligent voice interaction equipment is compiled, and a perfect child preschool education knowledge network is established to serve as a content basis of self-adaptive preschool education. The database also comprises all data interacted between each client and the server, and is used for analyzing the big data to obtain specific analysis data.
The client side is mainly used for collecting the interaction information of the user and transmitting the interaction information to the server in real time. The interaction information of the user is various data interacted between the user and the client. Including voice interaction, video capture, or other forms of interaction. For example, the simplest key way may be used for interaction.
Since the user is mainly a child, the client collects the interaction data of the child in a form easy to interact with the child.
After receiving the interactive information, the server needs to identify the interactive information, for example, natural language understanding processing or image processing needs to be performed. Intent recognition and the resulting sentiment analysis are also required. For a particular user, child, it is easier to identify his age and corresponding emotion based on his language and behavior. The server utilizes the artificial intelligence technologies such as voice recognition, age recognition, natural language understanding, child emotion analysis and child intention recognition to structurally output the cognitive dialogue information of the children, carries out semantic understanding and interaction based on the voice input of the children, obtains the voice interaction data of the children in real time and uses the voice interaction data as the data basis of subsequent data analysis.
The server finds corresponding content script information in the database according to the processing result, and then sends the content script information to the client for display to the user, so that interaction with the user is realized. Meanwhile, further interactive contents of the user are collected, and subsequent analysis processing is carried out.
The method comprises the steps of obtaining dynamic interactive data of each child in real time, analyzing and monitoring the completion rate of knowledge lines and the knowledge network coverage rate of the child, and establishing an individualized knowledge network pushing model for a child user by combining historical data at different moments to serve as a model foundation of adaptive education. And selecting a content script to be output to the user for interaction by combining the education model of the user and the current interaction data.
And generating a stage education progress report for the user, and outputting the stage education progress report to the parental control terminal to provide reference for family education and infant education workers.
The method provides a personalized customization channel for parents, and the parents can select resource content, adjust a knowledge pushing route, and generate frequency and a presentation form of a report according to the actual condition of children.
The user interaction information acquired by the client is analyzed by the server, and the completion rate of the knowledge points corresponding to the current user can be analyzed according to the interaction information. In the specific process, the user carries out interaction, the feedback information of the interaction is carried out by the script information in the database, and the knowledge points covered in the current user interaction process, namely the completion rate of the knowledge points, can be known according to the coverage condition of the knowledge points to which the script information belongs.
And 102, acquiring a knowledge point coverage path of the current user according to the knowledge point completion rate.
The knowledge point completion rate is the completion condition of a single knowledge point, and if a user completes a plurality of knowledge points, a knowledge point coverage path can be obtained. The coverage path not only comprises the knowledge points which are completed by the user, but also comprises time information and a sequence, so that the sequence of the user completing a plurality of knowledge points, the specific time length and the like can be obtained.
And 103, counting historical interaction information of the current user at different moments, and establishing a historical knowledge point coverage path for the current user.
And the server receives the interactive information transmitted by the client for identification, calculates the age of the user, and performs natural language understanding, children intention identification and children emotion analysis processing.
For the interaction completed by the current user at different moments, specific interaction information needs to be counted, and according to historical interaction information, information such as the coverage range, time, sequence and the like of the current user on knowledge points can be obtained, so that a historical knowledge point coverage path is obtained.
And 104, drawing a child personalized growth map corresponding to the current user according to the historical knowledge point coverage path.
The child personalized growth map of the current user can be completely drawn by covering the path with the historical knowledge points. The atlas contains a specific child knowledge point covering process, can show the child growth process, is definite for a specific user, and is personalized.
Further, the server acquires the interactive information of the user and analyzes the completion rate of the knowledge points according to the interactive information; establishing a knowledge network recommendation model for the user according to historical interactive information data at different moments as an education model of the corresponding user; and selecting corresponding content script information from the database according to the education model and the current interaction information of the user, and sending the client to interact with the user.
Further, the server analyzes and obtains a stage growth report according to a knowledge point child personalized growth map generated by current user interaction data and a map corresponding to a historical moment; and sending the periodic growth report to a corresponding parental control terminal.
And storing the child personalized growth map of each user into the database, and analyzing the common child growth map of all users. And according to the child personalized growth map of the current user and the corresponding time period, finishing the staged child growth report of the current user.
In order to implement the above process, another embodiment of the technical solution of the present invention provides a child personalized growth map analysis system, and fig. 2 is a schematic structural diagram of a child personalized growth map analysis system in the second embodiment of the present invention.
As shown in fig. 2, the system includes a plurality of clients 10 and a server 20, wherein,
the client 10 is used for interacting with a user, collecting interaction information input by the user and transmitting the interaction information to the server 20 in real time; acquiring content script information returned by the server 20 and displaying the content script information to a user;
the server 20 is configured to interact with the client 10, receive the interaction information input by the user, perform natural language understanding, child intention analysis and emotion analysis processing, and return content script information corresponding to the analyzed interaction information to the client 10.
The client 10 may be in various forms, such as a program software or a web page on the PC side, or an APP or a web page on the mobile side. Of course, a specific device is also possible. For example, the client may be in the form of a story machine that is easy to communicate with children or other forms that children prefer.
In order to complete the corresponding information collection, the client 10 may include a specific voice receiving/playing device, an image collecting device or other interactive keys.
Specifically, the client 10 includes an acquisition module 110 and a network module 120, wherein,
the acquisition module 110 is configured to collect voice image data of a user through an acquisition device;
the network module 120 is configured to communicate with the server 20, and transmit the voice image data to the server in real time.
The voice image data is taken as voice or image acquisition, and the form of the interactive data between the user and the client is not limited.
Further, the server 20 includes a database module 210, an intelligent analysis module 220, an intelligent statistic module 230, and an intelligent selection module 240, wherein,
the database module 210 is used for storing the child interaction content script information which is edited according to the child growth indexes and covers all knowledge points; the content script information is compiled based on a child growth index system and covers infant capacity culture contents including health, language, science, society and art;
the intelligent analysis module 220 is configured to perform real-time voiceprint recognition and voice recognition on the interaction information input by the user and acquired by the client 10, perform user age calculation, natural language understanding, child emotion analysis, and child intention recognition processing, and transmit a processing result to the intelligent selection module 240 in real time;
the intelligent statistical module 230 is configured to obtain user interaction data and corresponding content script information in the database module, analyze the user interaction data and the corresponding content script information by using a big data analysis technology, and calculate and analyze a knowledge point completion rate of a current user in the database; acquiring a knowledge point coverage path of the current user according to the knowledge point completion rate; counting historical interactive information of a current user at different moments, and establishing a historical knowledge point coverage path for the current user; drawing a child personalized growth map corresponding to the current user according to the historical knowledge point coverage path;
the intelligent selection module 240 is configured to select corresponding content script information for the user in combination with the child personalized growth graph obtained by the intelligent statistics module 230 and the current interaction data of the user, and push the content script information to the client 10.
Further, the database module 210 is also used for storing all data generated by the system, and other modules can retrieve required data from the database module 210 to perform further operations.
Further, the system further includes a parental control terminal 30, configured to interact with the server 20, and receive the growth map and the staged growth report of the corresponding user sent by the server 20.
Further, the parental control terminal 30 is further configured to perform personalized customization, including selecting a knowledge point of a corresponding user, adjusting a path of the knowledge point, adjusting resource configuration, or setting a growth map and a frequency and a presentation form of a staged growth report of the corresponding user.
Further, the parental control terminal 30 includes a PC terminal and an APP terminal.
In each embodiment of the invention, an education professional writes a pre-education content script suitable for the intelligent voice interaction equipment according to a child development index system, and establishes a perfect pre-education knowledge network for children as a content basis of self-adaptive pre-education. The method comprises the steps of utilizing artificial intelligence technologies such as voice recognition, age recognition, natural language understanding, child emotion analysis and child intention recognition to conduct structured output on child cognitive dialogue information, conducting semantic understanding and interaction based on child voice input, obtaining child voice interaction data in real time, and using the data as a data basis of follow-up data analysis. The method comprises the steps of obtaining dynamic interactive data of each child in real time, analyzing and monitoring the completion rate of knowledge lines and the knowledge network coverage rate of the child, and establishing an individualized knowledge network pushing model for a child user by combining historical data at different moments to serve as a model foundation of adaptive education. And selecting a content script to be output to the user for interaction by combining the education model of the user and the current interaction data. And generating a stage education progress report for the user, and outputting the stage education progress report to the parental control terminal to provide reference for family education and infant education workers. The method provides a personalized customization channel for parents, and the parents can select resource content, adjust a knowledge pushing route, and generate frequency and a presentation form of a report according to the actual condition of children.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be physically included alone, or two or more units may be integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute some steps of the transceiving method according to various embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
While the preferred embodiments of the present invention have been described, it should be understood that modifications and adaptations to those embodiments may occur to one skilled in the art without departing from the principles of the present invention and are within the scope of the present invention.
Claims (10)
1. A children personalized growth map analysis method is characterized by comprising the following steps:
acquiring interactive information of a current user, and analyzing the completion rate of knowledge points of the current user in a database according to the interactive information;
acquiring a knowledge point coverage path of the current user according to the knowledge point completion rate;
counting historical interactive information of a current user at different moments, and establishing a historical knowledge point coverage path for the current user;
and drawing a child personalized growth map corresponding to the current user according to the historical knowledge point coverage path.
2. The method for analyzing a personalized growth profile for children according to claim 1, further comprising the steps of:
setting and storing child interaction content script information which is edited according to child growth indexes and covers all knowledge points in the database in advance;
and acquiring the completion rate of the knowledge points of the current user according to the child interactive content script information.
3. The method for analyzing a personalized growth profile for children according to claim 2, further comprising the steps of:
the client interacts with a user and acquires interaction information input by the user;
natural language understanding, child intention recognition and child emotion analysis processing are carried out on the interaction information;
and selecting corresponding content script information in the database according to the processing result, interacting with the user, and further acquiring interaction information input by the user.
4. The method for analyzing a personalized growth profile for children according to claim 3, further comprising the steps of:
and determining the coverage rate of the knowledge points finished by the current user according to the corresponding knowledge points of the content script information finished in the current user interaction process in the database.
5. The method for analyzing a personalized growth profile for children according to claim 4, further comprising the steps of:
drawing a knowledge point coverage path of the current user according to the completion rate of the knowledge points of the current user at different moments;
and drawing a child personalized growth map corresponding to the current user according to the development time of the knowledge point coverage path.
6. The method for analyzing a personalized growth profile for children according to claim 1, further comprising the steps of:
and storing the child personalized growth map of each user into the database, and analyzing the common child growth map of all users.
7. The method for analyzing a personalized growth profile for children according to claim 1, further comprising the steps of:
and according to the child personalized growth map of the current user and the corresponding time period, finishing the staged child growth report of the current user.
8. A children personalized growth map analysis system is characterized by comprising at least one client and a server, wherein,
the client is used for interacting with the user, collecting interaction information input by the user and transmitting the interaction information to the server in real time; acquiring content script information returned by the server and displaying the content script information to a user;
and the server is used for interacting with the client, receiving the interaction information input by the user, performing natural language understanding, children intention analysis and emotion analysis processing, and returning the content script information corresponding to the analyzed interaction information to the client.
9. The child personalized growth map analysis system of claim 8, wherein the client comprises an acquisition module and a network module, wherein,
the acquisition module is used for collecting voice image data of a user through acquisition equipment;
and the network module is used for communicating with the server and transmitting the voice image data to the server in real time.
10. The children's personalized growth map analysis system of claim 8 or 9, wherein the server comprises a database module, an intelligent analysis module, an intelligent statistics module, and an intelligent selection module, wherein,
the database module is used for storing the child interaction content script information which is edited according to the child growth indexes and covers all knowledge points; the content script information is compiled based on a child growth index system and covers infant capacity culture contents including health, language, science, society and art;
the intelligent analysis module is used for carrying out real-time voiceprint recognition and voice recognition on the interactive information input by the user and collected by the client, carrying out user age calculation, natural language understanding, child emotion analysis and child intention recognition processing, and transmitting the processed result to the intelligent selection module in real time;
the intelligent statistical module is used for acquiring user interaction data and corresponding content script information in the database module, analyzing by using a big data analysis technology, and calculating and analyzing the completion rate of the knowledge points of the current user in the database; acquiring a knowledge point coverage path of the current user according to the knowledge point completion rate; counting historical interactive information of a current user at different moments, and establishing a historical knowledge point coverage path for the current user; drawing a child personalized growth map corresponding to the current user according to the historical knowledge point coverage path;
and the intelligent selection module is used for selecting corresponding content script information for the user by combining the child personalized growth map obtained by the intelligent statistics module and the current interaction data of the user, and pushing the content script information to the client.
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| CN114047820A (en) * | 2021-11-15 | 2022-02-15 | 成都全景智能科技有限公司 | Child growth guarding method based on wearable device and related device |
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