Teaching affair management method, user side equipment, server and medium

Abstract

The invention discloses a teaching affair management method, user side equipment, a server and a medium, and relates to the technical field of artificial intelligence and natural language process.The method comprises the steps that first natural language input of a target user is obtained and sent to the server, the target user comprises at least one of a teacher and a student, and the first natural language input is sent to the server; the first natural language input of the target user comprises an intention of the target user, the intention of the target user comprises query of target information or handling of target business, the target information refers to information to be queried by the target user, and the target business refers to business to be handled by the target user; a question-answer result sent by the server is received, the question-answer result is generated by the server according to an information query result or a service handling result, the information query result refers to a query result of the server for the target information, and the service handling result refers to a handling result of the server for the target service; the efficiency of target information query and target business handling through an educational administration management system is improved.

Description

Technical Field

[0001] The present application relates to the technical field of artificial intelligence and natural language processing, and in particular to a teaching and academic affairs management method, a user terminal device, a server and a medium. Background Art

[0002] The teaching and academic affairs management system (also known as the academic affairs management system or education management information system) is a software solution designed for schools, colleges and other educational institutions. It is used to manage and optimize various administrative tasks related to teaching and students, aiming to improve the operational efficiency of educational institutions, ensure the smooth progress of teaching activities, and provide convenience for teachers, students and administrators. Teachers and students can access the teaching and academic affairs management system to query information and handle business. For example, students can access the course selection system of the teaching and academic affairs management system to query course information, course schedule, course selection requirements and other course information, and handle business such as course selection.

[0003] Traditional teaching and academic affairs management systems use menu-based or form-based methods to interact with users, requiring users to step through information query processes or business processing processes to obtain the information they want to query or complete the business they want to handle, making information query and business processing through the academic affairs management system inefficient. Summary of the invention

[0004] The purpose of this application is to provide a teaching and academic affairs management method, user terminal equipment, server and medium to improve the efficiency of information query and business handling through the academic affairs management system.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In a first aspect, the present application provides a teaching and academic affairs management method, comprising:

[0007] Obtaining a first natural language input of a target user and sending it to a server, wherein the target user includes at least one of a teacher and a student, and the first natural language input of the target user includes an intention of the target user, and the intention of the target user includes querying target information or handling target business, the target information refers to information to be queried by the target user in a target teaching and academic affairs management scenario, and the target business refers to a business to be handled by the target user in a target teaching and academic affairs management scenario;

[0008] Receive the question and answer result sent by the server, wherein the question and answer result is generated by the server based on the information query result or the business processing result, the information query result refers to the query result of the server on the target information, and the business processing result refers to the processing result of the server on the target business.

[0009] Optionally, the teaching and academic affairs management method further includes:

[0010] Before receiving the question-and-answer result sent by the server, performing at least one reply operation until the question-and-answer result sent by the server is received; wherein the reply operation includes:

[0011] receiving a question sent by the server, wherein the question is used to guide the target user to further determine the target information or target business;

[0012] A second natural language input of the target user is obtained and sent to the server, wherein the second natural language input includes a response of the target user to the question.

[0013] In a second aspect, the present application provides a teaching and academic affairs management method, comprising:

[0014] Receiving a first natural language input of a target user sent by a user terminal device; wherein the target user includes at least one of a teacher and a student, and the first natural language input of the target user includes an intention of the target user, and the intention of the target user includes querying target information or handling target business, the target information refers to the information to be queried by the target user in a target teaching and academic affairs management scenario, and the target business refers to the business to be handled by the target user in a target teaching and academic affairs management scenario;

[0015] Performing a question-answering processing operation on the first natural language input of the target user;

[0016] Generate a question-and-answer result according to the information query result or the business handling result, wherein the information query result refers to the query result of the target information obtained by executing the question-and-answer processing operation, and the business handling result refers to the handling result of the target business obtained by executing the question-and-answer processing operation;

[0017] The question and answer result is sent to the user terminal device.

[0018] Optionally, the teaching and academic affairs management method further includes:

[0019] Before generating the question-and-answer result and sending it to the user terminal device, at least one question-asking operation is performed until the information query result or the business handling result is obtained, wherein the question-asking operation includes:

[0020] Generate a question and send the question to the user terminal device, wherein the question is used to guide the target user to further determine the target information or target business;

[0021] Receiving a second natural language input of the target user sent by the user terminal device, wherein the second natural language input includes a reply of the target user to the question;

[0022] A question-and-answer processing operation is performed on the second natural language input of the target user.

[0023] Optionally, the question-answer processing operation includes:

[0024] Identifying the intention of the target user according to the natural language input of the target user, wherein the natural language input includes a first natural language input or a second natural language input;

[0025] According to the intention of the target user, matching the query process of the target information or the handling process of the target business;

[0026] According to the matched query process of the target information or the handling process of the target business, the target information is queried or the target business is handled.

[0027] Optionally, the teaching and academic affairs management method further includes:

[0028] Before receiving the first natural language input of the target user sent by the user terminal device, receiving a first instruction sent by the management terminal device, wherein the first instruction includes an instruction for controlling the management of the target AI agent;

[0029] According to the first instruction, a page for managing the target AI agent is displayed to the management end device;

[0030] Receive a target AI agent creation instruction, a target AI agent numbering instruction, and a database numbering instruction corresponding to the target AI agent sent by the management end device;

[0031] According to the target AI agent creation instruction, a target AI agent and its corresponding database in the target teaching and academic management scenario are created, and a document directory of the database corresponding to the target AI agent is created; according to the numbering instruction of the target AI agent and the numbering instruction of the database corresponding to the target AI agent, the number of the target AI agent and the number of the database corresponding to the target AI agent are stored, and the number of the target AI agent is sent to the user terminal device.

[0032] Optionally, the teaching and academic affairs management method further includes:

[0033] Before receiving the first natural language input of the target user sent by the user terminal device, receiving a second instruction sent by the management terminal device, wherein the second instruction includes an instruction for controlling the personalized setting of the target AI agent;

[0034] According to the second instruction, a page for performing personalized settings of the target AI agent is displayed to the management end device;

[0035] receiving a third instruction sent by the management terminal device, the third instruction including an instruction for controlling the personalized setting of the opening welcome message and logo of the target user;

[0036] According to the third instruction, the opening welcome message and logo of the target user of the target AI agent are personalized.

[0037] In a third aspect, the present application provides a user terminal device, including:

[0038] The user-end device interface module is used to obtain a first natural language input of a target user, send the first natural language input of the target user to a server, and receive a question and answer result sent by the server, wherein the target user includes at least one of a teacher and a student, and the first natural language input of the target user includes the intention and entity of the target user, the intention of the target user includes querying or handling business, the entity of the target user includes target information or target business, the target information refers to the information to be queried by the target user in a target teaching and academic affairs management scenario, and the target business refers to the business to be handled by the target user in a target teaching and academic affairs management scenario. The question and answer result is generated by the server based on the information query result or the business handling result, the information query result refers to the server's query result for the target information, and the business handling result refers to the server's handling result for the target business.

[0039] In a fourth aspect, the present application provides a server, including:

[0040] The server interface module is used to receive a first natural language input of a target user sent by a user terminal device; wherein the target user includes at least one of a teacher and a student, and the first natural language input of the target user includes an intention and an entity of the target user, the intention of the target user includes querying or handling business, and the entity of the target user includes target information or target business, the target information refers to the information to be queried by the target user in a target teaching and academic affairs management scenario, and the target business refers to the business to be handled by the target user in a target teaching and academic affairs management scenario;

[0041] A question-answering processing module, configured to perform a question-answering processing operation on the first natural language input of the target user;

[0042] The question and answer generation module is used to generate question and answer results based on information query results or business processing results, wherein the information query results refer to the query results of the target information obtained by executing the question and answer processing operation, and the business processing results refer to the processing results of the target business obtained by executing the question and answer processing operation.

[0043] In a fifth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of the teaching and academic affairs management method as described in any one of the above items are implemented.

[0044] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0045] The present application provides a teaching and academic affairs management method, a user terminal device, a server, a system and a storage medium. When performing information query and business processing, the first natural language input of the target user is obtained and sent to the server, wherein the target user includes at least one of a teacher and a student, and the first natural language input of the target user includes the intention of the target user, and the intention of the target user includes querying target information or processing target business. The target information refers to the information that the target user wants to query in the target teaching and academic affairs management scenario, and the target business refers to the business that the target user wants to handle in the target teaching and academic affairs management scenario. The server automatically handles the target business or queries the target information, instead of the user operating the query process of the target information or the processing process of the target business by himself. Compared with the user operating the query process of the target information or the processing process of the target business by himself, the server automatically queries the target information or handles the target business quickly and efficiently, and there will be no problem of affecting the query speed of the target information or the processing speed of the target business due to unfamiliarity with the query process of the target information or the processing process of the target business, which effectively improves the efficiency of teachers and students in querying target information and handling target business. In addition, traditional teaching and academic affairs management systems use a menu-based or form-based approach to interact with users, which not only requires users to operate the target information query process or the target business processing process by themselves, but also target users who are not familiar with the target information query process or the target business processing process are prone to errors during operation, which in turn leads to a poor user experience; while the present application automatically performs target information query and target business processing through the server, and does not require target users to operate the target information query process or the target business processing process by themselves, which can ensure the efficiency and accuracy of target information query and target business processing and improve user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0047] Figure 1 This is an application environment diagram of a teaching and academic affairs management method in one embodiment of the present application;

[0048] Figure 2 A flowchart of a teaching and academic affairs management method provided in one embodiment of the present application;

[0049] Figure 3 A flowchart of another teaching and academic affairs management method provided in one embodiment of the present application;

[0050] Figure 4 A schematic diagram of functional modules of a user terminal device provided in one embodiment of the present application;

[0051] Figure 5 A schematic diagram of functional modules of a server provided in one embodiment of the present application;

[0052] Figure 6 A structural diagram of a teaching and academic affairs management system provided in one embodiment of the present application;

[0053] Figure 7 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0055] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0056] The teaching and academic affairs management method provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be set up separately, integrated on the server 104, or placed on the cloud or other servers. The terminal 102 can send the user's first natural language input to the server 104. The user's first natural language input includes the user's question and answer intention. The question and answer intention includes business processing or information query. After the server 104 receives the user's first natural language input, the server 104 performs question and answer processing on the user's first natural language input and generates a question and answer result. The question and answer result includes the information query result or business processing result obtained by the question and answer processing. The server 104 can feedback the obtained question and answer result for the first natural language input to the terminal 102.

[0057] The terminal 102 may be, but is not limited to, various desktop computers, laptop computers, smart phones, and tablet computers. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers, or may be a cloud server.

[0058] In an exemplary embodiment, Figure 2 As shown, a teaching and academic affairs management method is provided, which is applied to a user terminal device (terminal 102) and includes the following steps 201 to 202. Among them:

[0059] Step 201: obtain a first natural language input of a target user and send it to a server.

[0060] Among them, the target user includes at least one of a teacher and a student, the first natural language input of the target user includes the target user's intention, the target user's intention includes querying target information or handling target business, the target information refers to the information that the target user wants to query in the target teaching and academic affairs management scenario, and the target business refers to the business that the target user wants to handle in the target teaching and academic affairs management scenario.

[0061] For example, in the course selection management scenario, for example, if the student's first natural language input includes "select the courses to be studied in the first semester under the teaching plan", then "select the courses to be studied in the first semester under the teaching plan" is the target business to be handled, that is, the target user's intention is to handle "select the courses to be studied in the first semester under the teaching plan". For example, if the student's first natural language input includes "select physical education class, select badminton in physical education class", then "select physical education class, select badminton in physical education class" is the business to be handled by the target user. If the student's first natural language input includes "query XX course schedule", then "query XX course schedule" is the target user's intention; "XX course schedule" is the information to be queried by the target user, that is, the target information. If the teacher's first natural language input includes "query the number of people who have selected XX course", then "query the number of people who have selected XX course" is the target user's intention, and "the number of people who have selected XX course" is the target information.

[0062] In the embodiment of the present application, the method in which the target user inputs his first natural language input is not limited to voice and text, and the way in which the target user inputs his first natural language input is not limited to a web interface, a mobile application, and a voice assistant.

[0063] Step 202: receiving the question and answer result sent by the server.

[0064] The question and answer result is generated by the server based on the information query result or the business handling result. The information query result refers to the query result of the server on the target information, and the business handling result refers to the handling result of the server on the target business.

[0065] For example, in the course selection management scenario, the question and answer results received from the server include "course selection successful", then "course selection successful" is the server's processing result for the target business "select physical education class, and choose badminton in physical education class".

[0066] Implementing the above steps 201 to 202, the server automatically handles the target business or queries the target information, instead of the user operating the query process of the target information or the processing process of the target business. Compared with the user operating the query process of the target information or the processing process of the target business, the server automatically queries the target information or handles the target business quickly and efficiently, and there will be no problem of affecting the query speed of the target information or the processing speed of the target business due to unfamiliarity with the query process of the target information or the processing process of the target business, which effectively improves the efficiency of teachers and students in querying target information and handling target business. In addition, the traditional teaching and academic affairs management system uses a menu-based or form-based method to interact with users, which not only requires users to operate the query process of the target information or the processing process of the target business, but also target users who are not familiar with the query process of the target information or the processing process of the target business are prone to errors during operation, which leads to poor user experience; while the present application automatically queries the target information and handles the target business through the server, and does not require the target user to operate the query process of the target information or the processing process of the target business, which can ensure the efficiency and accuracy of the query of the target information and the processing of the target business, and improve the user experience.

[0067] In another exemplary embodiment of the present application, the above teaching and academic affairs management method further includes:

[0068] Before the above step 202, at least one reply operation is performed until the question and answer result sent by the server is received. The reply operation includes the following steps 301 to 302. Among them:

[0069] Step 301: receiving a question sent by a server.

[0070] The question is used to guide the target user to further determine the target information or target business.

[0071] Step 302: Obtain a second natural language input of the target user and send it to the server.

[0072] The second natural language input includes a target user's response to a question sent by the server.

[0073] For example, in a course selection management scenario, if the student's first natural language input includes "select courses for the first semester", the server queries that the courses for the first semester include professional courses, public basic courses, and practical courses. At this time, the server cannot accurately determine which type of course the target user wants to select, and needs to further determine the type of course the target user wants to select. Then, the server will receive a question sent by the server to guide the target user to further determine the type of courses to be selected for the first semester. The question may include "The courses for the first semester include professional courses, public basic courses, and practical courses. Which type of course do you need to choose?" Correspondingly, the user-end device will obtain the target user's second natural language input. If the target user wants to select a public basic course, the target user's second natural language input includes "public basic course", and then the server will receive the question and answer results sent by the server. If the server completes the course selection operation for the public basic course, the question and answer results include "Course selection successful".

[0074] Based on the above embodiments, Figure 3 As shown, it is a flow chart of another teaching and academic affairs management method provided by an embodiment of the present application, the method is applied to the server side, and includes the following steps 401 to 404. Among them:

[0075] Step 401: Receive a first natural language input of a target user sent by a user terminal device.

[0076] Among them, the target user includes at least one of a teacher and a student, the first natural language input of the target user includes the intention of the target user, the intention of the target user includes querying target information or handling target business, the target information refers to the information that the target user wants to query in the target teaching and academic affairs management scenario, and the target business refers to the business that the target user wants to handle in the target teaching and academic affairs management scenario.

[0077] Step 402: perform a question-answering processing operation on the first natural language input of the target user.

[0078] Step 403, generating a question-and-answer result according to the information query result or the business handling result, wherein the information query result refers to the query result of the target information obtained by executing the question-and-answer processing operation, and the business handling result refers to the handling result of the target business obtained by executing the question-and-answer processing operation;

[0079] Step 404, sending the above-mentioned question and answer result to the above-mentioned user terminal device.

[0080] In another exemplary embodiment of the present application, the above teaching and academic affairs management method further includes:

[0081] Before the above step 403, at least one questioning operation is performed until the above information query result or business handling result is obtained, and the questioning operation includes the following steps 501 to 503. Among them:

[0082] Step 501: Generate a question and send the question to the above-mentioned user terminal device.

[0083] The question is used to guide the target user to further determine the target information or target business.

[0084] Step 502: Receive a second natural language input of a target user sent by the user terminal device.

[0085] The second natural language input includes a response from the target user to a question from the server.

[0086] Step 503: perform question-answering processing on the second natural language input of the target user.

[0087] In another exemplary embodiment of the present application, the above-mentioned question-answer processing operation includes the following steps 601 to 602. Among them:

[0088] Step 601 : identifying the intention of the target user according to the natural language input of the target user, wherein the natural language input includes a first natural language input or a second natural language input.

[0089] Step 602, matching the query process of target information or the handling process of target business according to the intention of the target user.

[0090] For example, in the course selection management scenario, if the target user's intention is "select courses for the first semester", the course selection process for the first semester is matched in the preset course selection process. For another example, if the target user's intention is "query courses for the first semester", the query process for the first semester's courses is matched in the preset query process.

[0091] Step 603: query the target information or handle the target business according to the query process of the matched target information or the handling process of the target business.

[0092] In another exemplary embodiment of the present application, the above step 601 includes:

[0093] Natural language processing methods are used to process the natural language input of the target user and identify the target user's intention.

[0094] In the embodiments of the present application, the natural language processing method used is not specifically limited and can be selected according to actual needs. For example, a BERT pre-trained model is used for natural language processing. For example, a GPT pre-trained model is used for natural language processing.

[0095] In another exemplary embodiment of the present application, the above teaching and academic affairs management method further includes:

[0096] Before the above step 401, a first instruction sent by the management terminal device is received, where the first instruction includes an instruction for controlling the management of the target AI agent;

[0097] According to the received first instruction, a page for managing the target AI agent is displayed to the management end device so that the management end device can manage the target AI agent.

[0098] In an embodiment of the present application, the administrator can click on the "Intelligent Agent Management" module on the management page of the management-end device to send a first instruction to the server. After receiving the first instruction, the server will display the page for managing the target AI agent to the management-end device, so that the page of the management-end device jumps to the target AI agent management page, so that the management-end device can manage the target AI agent.

[0099] In another exemplary embodiment of the present application, the above teaching and academic affairs management method further includes:

[0100] After displaying a page for managing the target AI agent to the management end device according to the received first instruction, receiving a target AI agent creation instruction, a target AI agent numbering instruction, and a database numbering instruction corresponding to the target AI agent sent by the management end device;

[0101] According to the received target AI agent creation instruction, a target AI agent and its corresponding database in the target teaching and academic management scenario are created, and a document directory of the database corresponding to the target AI agent is created; according to the numbering instruction of the target AI agent and the numbering instruction of the database corresponding to the target AI agent, the number of the target AI agent and the number of the database corresponding to the target AI agent are stored, and the number of the target AI agent is sent to the user terminal device.

[0102] In the embodiment of the present application, the target AI agent includes a target AI agent for serving students and a target AI agent for serving teachers. Different AI agents are created in advance in the server for different types of users in each teaching and academic affairs management scenario through the management end device, and each AI agent can query you, target information or handle target business in a targeted manner. Create a document directory of the database corresponding to the target AI agent, so that it is convenient to quickly query the target information from the database corresponding to the target AI agent through the document directory or handle the target task based on the database corresponding to the target AI agent. When it is necessary to query the target information or handle the target business, call the target AI agent in the target teaching and academic affairs management scenario, and execute the query process of the target information or the handling process of the target business through the target AI agent. At the same time, the query chain sequence of each target information, i.e., the query process, and the handling chain sequence of each target business, i.e., the handling process, are set in advance through the management end device. When performing information query or business handling, each AI agent matches the query process of the target information or the handling process of the target business according to the intention of the target user, and then performs the target information query according to the query chain sequence in the query process of the target information or performs the target business handling according to the handling chain sequence in the handling process of the target business.

[0103] In another exemplary embodiment of the present application, the above teaching and academic affairs management method further includes:

[0104] After displaying a page for managing the target AI agent to the management end device according to the received first instruction, receiving a target AI agent deletion instruction sent by the management end device;

[0105] According to the received target AI agent deletion instruction, the target AI agent and its corresponding database are deleted.

[0106] In another exemplary embodiment of the present application, the database corresponding to each of the above-mentioned AI agents includes a first database, wherein the first database is used to store school-based information in the corresponding teaching and academic affairs management scenario to facilitate information query and business processing in the corresponding teaching and academic affairs management scenario.

[0107] In another exemplary embodiment of the present application, the database corresponding to each of the above-mentioned AI agents also includes a second database, wherein the second database is used to store the industry common vocabulary and explanations of some proprietary terms in the corresponding teaching and academic management scenarios, and the proprietary terms are expressions that do not belong to the common vocabulary in the industry, so that in step 601, a natural language processing method is used to process the natural language input of the target user, and when identifying the intention and entity of the target user, the proprietary terms in the natural language input of the target user can be understood based on the information stored in the second database, and the intention of the target user can be accurately identified.

[0108] In the embodiment of the present application, the documents in the first database and the second database are managed (uploaded, deleted or modified) by the management terminal device.

[0109] In another exemplary embodiment of the present application, the above teaching and academic affairs management method further includes:

[0110] Before the above step 401, a second instruction sent by the management terminal device is received, where the second instruction includes an instruction for controlling the personalized setting of the target AI agent;

[0111] According to the received second instruction, the page for performing personalized settings of the target AI agent is displayed to the management end device so that the management end device can perform personalized settings.

[0112] In another exemplary embodiment of the present application, the above teaching and academic affairs management method further includes:

[0113] After presenting a page for performing personalized settings of the target AI agent to the management end device according to the received second instruction, receiving a third instruction sent by the management end device, the third instruction including an instruction for controlling personalized settings of the opening welcome message and logo of the target user;

[0114] According to the third instruction, the opening welcome message and logo of the target user of the target AI agent are personalized.

[0115] In another exemplary embodiment of the present application, the above teaching and academic affairs management method further includes:

[0116] Before the above step 401, a fourth instruction sent by the user terminal device is received, where the fourth instruction includes a request instruction for the target user to enter the interactive page;

[0117] After receiving the fourth instruction, the target AI agent used to serve the target user is called, the interactive page is displayed to the user-end device through the target AI agent, and according to the control instructions of the target AI agent, the personalized opening welcome message and logo of the target user are sent to the interactive page of the user-end device.

[0118] In the embodiment of the present application, specific opening welcome words and logos are set for different types of target users to enhance different types of user experiences.

[0119] In another exemplary embodiment of the present application, the above teaching and academic affairs management method further includes:

[0120] After presenting a page for performing personalized settings of the target AI agent to the management end device according to the received second instruction, receiving a fifth instruction sent by the management end device, the fifth instruction including an instruction for controlling the recommendation of a selected topic;

[0121] According to the fifth instruction, the target AI agent is called, and a control instruction is sent through the target AI agent to control the recommended topic of the target AI agent to be sent to the interactive page of the user device.

[0122] In the embodiment of the present application, topic recommendation can provide more personalized services. Topic recommendation is to recommend query information with high query frequency (for example, query frequency higher than the set value) to the target user, which can be manually specified by the administrator from the management end device. Information with high query frequency refers to statistical information with high query frequency of the same type of target users. For example, the recommended topics include "After the score is entered, under what circumstances can the score be updated?".

[0123] The administrator can click the "AI Assistant Configuration" module on the management page of the target AI agent on the management end device to send a second instruction to the server. After receiving the second instruction, the server will display the page for personalized settings to the management end device, so that the page of the management end device jumps to the personalized settings page so that the management end device can perform personalized settings. On the personalized settings page, you can turn the AI ​​assistant and recommended topic functions on or off. After turning on the AI ​​assistant, you can perform personalized information settings, such as setting an opening welcome message and logo. After turning on the recommended topic function, you can set recommended topics for each target AI agent.

[0124] In another exemplary embodiment of the present application, the above teaching and academic affairs management method further includes:

[0125] Before the above step 401, a sixth instruction sent by the management terminal device is received, the sixth instruction including an instruction for controlling the management of a target database, wherein the target database refers to a database corresponding to the target intelligent agent;

[0126] According to the sixth instruction, a page for performing document management of the target database is displayed to the management end device, so that the management end device can perform management of the target database;

[0127] After receiving the document deletion, upload or modification instruction sent by the management end device, delete or modify the document that needs to be deleted or modified in the target database according to the document deletion, upload or modification instruction, or save the document that needs to be uploaded to the target database, and feedback the result of the document deletion, upload or modification to the management end device.

[0128] In an embodiment of the present application, the administrator can click on the "Database Management" module on the management page of the target AI agent of the management-end device to send a sixth instruction to the server. After receiving the sixth instruction, the server will display the page for target database document management to the management-end device, so that the page of the management-end device jumps to the target database management page, so that the management-end device can manage the target database.

[0129] Based on the above embodiments, the present application provides a user terminal device, which can be applied to Figure 2 The teaching and academic affairs management method provided in the corresponding embodiment. Figure 4 As shown, the user terminal device 70 includes:

[0130] The user-end device interface module 701 is used to obtain the first natural language input of the target user, send the first natural language input of the target user to the server, and receive the question and answer results sent by the server, wherein the target user includes at least one of a teacher and a student, and the first natural language input of the target user includes the target user's intention, and the target user's intention includes querying target information or handling target business. The target information refers to the information that the target user wants to query in the target teaching and academic affairs management scenario, and the target business refers to the business that the target user wants to handle in the target teaching and academic affairs management scenario. The question and answer results are generated by the server based on the information query results or the business handling results. The information query results refer to the server's query results for the target information, and the business handling results refer to the server's handling results for the target business.

[0131] In another exemplary embodiment of the present application, the user terminal device interface module 701 is further used for:

[0132] Before receiving the question-and-answer result sent by the server, perform at least one reply operation until the question-and-answer result sent by the server is received; wherein the reply operation includes:

[0133] receiving a question sent by the server, wherein the question is used to guide the target user to further determine the target information or target business;

[0134] A second natural language input of the target user is obtained and sent to the server, wherein the second natural language input includes a response of the target user to the question.

[0135] An embodiment of the present application provides a user terminal device, which includes a user terminal device interface module, which is used to obtain a first natural language input of a target user, send the first natural language input of the target user to a server, and receive a question and answer result sent by the server, wherein the target user includes at least one of a teacher and a student, the first natural language input of the target user includes the intention of the target user, the intention of the target user includes querying target information or handling target business, the target information refers to the information that the target user wants to query in the target teaching and academic affairs management scenario, the target business refers to the business that the target user wants to handle in the target teaching and academic affairs management scenario, the question and answer result is generated by the server according to the information query result or the business handling result, and the information query result The result refers to the server's query result on the target information, and the business handling result refers to the server's handling result on the target business. This application automatically handles the target business or queries the target information through the server, instead of the user operating the target information query process or the target business handling process by himself. Compared with the user operating the target information query process or the target business handling process by himself, the server automatically queries the target information or handles the target business quickly and efficiently, and there will be no problem of affecting the query speed of the target information or the handling speed of the target business due to unfamiliarity with the target information query process or the target business handling process. It effectively improves the efficiency of teachers and students in querying target information and handling target business, and at the same time, improves the user experience.

[0136] Based on the above embodiments, the present application provides a server which can be applied to Figure 3 The teaching and academic affairs management method provided in the corresponding embodiment. Figure 5 As shown, the server 104 includes:

[0137] The server interface module 1041 is used to receive a first natural language input of a target user sent by a user terminal device; wherein the target user includes at least one of a teacher and a student, and the first natural language input of the target user includes the intention of the target user, and the intention of the target user includes querying target information or handling target business, the target information refers to the information that the target user wants to query in the target teaching and academic affairs management scenario, and the target business refers to the business that the target user wants to handle in the target teaching and academic affairs management scenario;

[0138] Question and answer processing module 1042, used to perform question and answer processing operation on the first natural language input of the target user;

[0139] The question and answer generation module 1043 is used to generate question and answer results based on the information query results or business processing results, wherein the information query results refer to the query results of the target information obtained by executing the question and answer processing operation, and the business processing results refer to the processing results of the target business obtained by executing the question and answer processing operation.

[0140] Optionally, in other embodiments of the present application, the question and answer generating module 1043 is further used to:

[0141] Before generating the question-and-answer result and sending it to the user terminal device, when performing at least one question-asking operation, a question is generated, wherein the question is used to guide the target user to further determine the target information or target business;

[0142] Accordingly, the server interface module 1041 is also used for:

[0143] Sending the generated question to the user terminal device;

[0144] Receiving a second natural language input of a user sent by a user terminal device, wherein the second natural language input includes a reply of the user to the above question;

[0145] The question-answer processing module 1042 is further used for:

[0146] A question-and-answer processing operation is performed on the user's second natural language input.

[0147] Optionally, in other embodiments of the present application, the question and answer processing module 1042 is further used to:

[0148] Identifying the intention of the target user according to the natural language input of the target user, wherein the natural language input includes the first natural language input or the second natural language input;

[0149] According to the above-mentioned intentions of the target users, match the query process of the target information or the handling process of the target business;

[0150] Query the target information or handle the target business according to the query process of the matched target information or the handling process of the target business.

[0151] Optionally, in other embodiments of the present application, the question and answer processing module 1042 is further used to:

[0152] Natural language processing methods are used to process the natural language input of the target user and identify the target user's intention.

[0153] Optionally, in other embodiments of the present application, the server interface module 1041 is further used to:

[0154] Before receiving the first natural language input of the target user sent by the user-end device, a first instruction sent by the management-end device is received, and the first instruction includes an instruction for controlling the management of the target AI agent.

[0155] Accordingly, the above server further includes:

[0156] The agent management execution module 1044 is used to display the page used for managing the target AI agent to the management end device according to the received first instruction, so that the management end device can manage the target AI agent.

[0157] Optionally, in other embodiments of the present application, the server interface module 1041 is further used to:

[0158] After displaying the page for managing the target AI agent to the management end device according to the received first instruction, the management end device receives the target AI agent creation instruction, the target AI agent numbering instruction and the numbering instruction of the database corresponding to the target AI agent.

[0159] Accordingly, the agent management execution module 1044 further includes:

[0160] The intelligent agent creation execution module 10441 is used to create a target AI intelligent agent and its corresponding database in the target teaching and academic management scenario according to the received target AI intelligent agent creation instruction, and create a document directory of the database corresponding to the target AI intelligent agent; according to the numbering instruction of the target AI intelligent agent and the numbering instruction of the database corresponding to the target AI intelligent agent, store the number of the target AI intelligent agent and the number of the database corresponding to the target AI intelligent agent.

[0161] Optionally, in other embodiments of the present application, the server interface module 1041 is further used to:

[0162] After displaying the page for managing the target AI agent to the management end device according to the received first instruction, a target AI agent deletion instruction sent by the management end device is received.

[0163] Accordingly, the agent management execution module 1044 further includes:

[0164] The agent deletion execution module 10442 is used to delete the target AI agent and its corresponding database according to the received target AI agent deletion instruction.

[0165] Optionally, in other embodiments of the present application, the server interface module 1041 is further used to:

[0166] Before receiving the first natural language input of the target user sent by the user-end device, a second instruction sent by the management-end device is received, and the second instruction includes an instruction for controlling the personalized setting of the target AI agent.

[0167] The above server also includes:

[0168] The personalized setting module 1045 is used to display the page for performing personalized setting of the target AI agent to the management end device according to the received second instruction, so that the management end device can perform personalized setting.

[0169] Optionally, in other embodiments of the present application, the server interface module 1041 is further used to:

[0170] After displaying the page for personalizing the target AI agent to the management device according to the received second instruction, a third instruction sent by the management device is received, and the third instruction includes an instruction for controlling the personalized setting of the opening welcome message and logo of the target user.

[0171] Accordingly, the above-mentioned personalized setting module 1045 is also used for:

[0172] According to the third instruction mentioned above, the opening welcome message and logo of the target user of the target AI agent are personalized.

[0173] Optionally, in other embodiments of the present application, the server interface module 1041 is further used to:

[0174] Before the above-mentioned receiving of the first natural language input of the target user sent by the user terminal device, a fourth instruction sent by the user terminal device is received, and the fourth instruction includes a request instruction for the target user to enter the interactive page.

[0175] Accordingly, the above server further includes:

[0176] The agent calling module 1046 is used to call the target AI agent for serving the target user after receiving the fourth instruction, and display the interactive page to the user terminal device.

[0177] Accordingly, the server interface module 1041 is also used for:

[0178] According to the control instructions of the target AI agent, the personalized opening welcome message and logo of the target user are sent to the interactive page of the user-end device.

[0179] Optionally, in other embodiments of the present application, the server interface module 1041 is further used to:

[0180] After presenting the page for performing personalized settings of the target AI agent to the management end device according to the received second instruction, a fifth instruction sent by the management end device is received, and the fifth instruction includes an instruction for controlling the recommendation of a selected topic.

[0181] Accordingly, the above-mentioned agent calling module 1046 is also used for:

[0182] According to the fifth instruction, the target AI agent is called, and the control instruction is sent through the target AI agent, and the control server interface module 1041 sends the recommended topic of the target AI agent to the interactive page of the user device.

[0183] Optionally, in other embodiments of the present application, the server interface module 1041 is further used to:

[0184] Before the above-mentioned receiving the first natural language input of the target user sent by the user-end device, a sixth instruction sent by the management-end device is received, and the sixth instruction includes an instruction for controlling the management of the target database, wherein the target database refers to the database corresponding to the target intelligent agent.

[0185] The above server also includes:

[0186] The database management execution module 1047 is used to display the page for document management of the target database to the management end device according to the sixth instruction, so that the management end device can manage the target database.

[0187] The embodiment of the present application provides a server, and the user terminal device includes: a server interface module, which is used to receive the first natural language input of the user sent by the user terminal device; wherein the user includes at least one of a teacher and a student, and the content of the first natural language input of the user includes the business to be handled by the user or the information to be queried; a question and answer processing module, which is used for the first natural language input of the user to perform a question and answer processing operation; a question and answer generation module, which is used to generate a question and answer result according to the information query result or the business handling result, wherein the information query result refers to the query result of the information to be queried by the user obtained by performing the question and answer processing operation, and the business handling result refers to the handling result of the business to be handled by the user obtained by performing the question and answer processing operation. The present application automatically performs information query and business handling through the server, instead of the user operating the information query process to query the information to be queried or the user operating the business handling process to handle the business to be handled. Compared with the user operating by himself, the server automatically performs information query and business handling at a fast speed and high efficiency, and there will be no problem of affecting the query speed and business handling speed due to unfamiliarity with the information query process or the business handling process, which effectively improves the efficiency of information query and business handling through the education management system, and at the same time, improves the user experience.

[0188] Based on the above examples, please refer to Figure 6, which is a teaching and academic affairs management system provided by an embodiment of the present application. The information reporting system 80 includes the above-mentioned user terminal device 70 and server 104, and the user terminal device 70 and server 104 are signal connected. The signal connection method includes wired interface connection and wireless Internet connection, and the wireless Internet connection can include but is not limited to Wi-Fi, wireless broadband, global microwave interconnection access and Bluetooth, radio frequency identification, ultra-wideband and other technologies.

[0189] In an exemplary embodiment, a computer device is provided, the internal structure of which can be shown as follows: Figure 7 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store teaching and academic affairs management data. The input / output interface of the computer device is used to exchange information between the processor and an external user terminal device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a teaching and academic affairs management method is implemented.

[0190] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0191] In an exemplary embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0192] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0193] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0194] It should be noted that the user information (including but not limited to user terminal device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0195] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0196] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0197] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0198] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A teaching and academic affairs management method, characterized in that: The teaching and academic affairs management method comprises: Obtaining a first natural language input of a target user and sending it to a server, wherein the target user includes at least one of a teacher and a student, and the first natural language input of the target user includes an intention of the target user, and the intention of the target user includes querying target information or handling target business, the target information refers to information to be queried by the target user in a target teaching and academic affairs management scenario, and the target business refers to a business to be handled by the target user in a target teaching and academic affairs management scenario; Receive the question and answer result sent by the server, wherein the question and answer result is generated by the server based on the information query result or the business processing result, the information query result refers to the query result of the server on the target information, and the business processing result refers to the processing result of the server on the target business.

2. The teaching and academic affairs management method according to claim 1 is characterized in that: Also includes: Before receiving the question-and-answer result sent by the server, performing at least one reply operation until the question-and-answer result sent by the server is received; wherein the reply operation includes: receiving a question sent by the server, wherein the question is used to guide the target user to further determine the target information or target business; A second natural language input of the target user is obtained and sent to the server, wherein the second natural language input includes a response of the target user to the question.

3. A teaching and academic affairs management method, characterized in that: The teaching and academic affairs management method comprises: Receiving a first natural language input of a target user sent by a user terminal device; wherein the target user includes at least one of a teacher and a student, and the first natural language input of the target user includes an intention of the target user, and the intention of the target user includes querying target information or handling target business, the target information refers to the information to be queried by the target user in a target teaching and academic affairs management scenario, and the target business refers to the business to be handled by the target user in a target teaching and academic affairs management scenario; Performing a question-answering processing operation on the first natural language input of the target user; Generate a question-and-answer result according to the information query result or the business handling result, wherein the information query result refers to the query result of the target information obtained by executing the question-and-answer processing operation, and the business handling result refers to the handling result of the target business obtained by executing the question-and-answer processing operation; The question and answer result is sent to the user terminal device.

4. The teaching and academic affairs management method according to claim 3 is characterized in that: The teaching and academic affairs management method also includes: Before generating the question-and-answer result and sending it to the user terminal device, at least one question-asking operation is performed until the information query result or the business handling result is obtained, wherein the question-asking operation includes: Generate a question and send the question to the user terminal device, wherein the question is used to guide the target user to further determine the target information or target business; receiving a second natural language input of the target user sent by the user terminal device, wherein the second natural language input includes a reply of the target user to the question; A question-and-answer processing operation is performed on the second natural language input of the target user.

5. The teaching and academic affairs management method according to claim 4 is characterized in that: The question-answer processing operation includes: Identifying the intention of the target user according to the natural language input of the target user, wherein the natural language input includes a first natural language input or a second natural language input; According to the intention of the target user, matching the query process of the target information or the handling process of the target business; According to the matched query process of the target information or the handling process of the target business, the target information is queried or the target business is handled.

6. The teaching and academic affairs management method according to claim 3 is characterized in that: Also includes: Before receiving the first natural language input of the target user sent by the user terminal device, receiving a first instruction sent by the management terminal device, wherein the first instruction includes an instruction for controlling the management of the target AI agent; According to the first instruction, a page for managing the target AI agent is displayed to the management end device; Receive a target AI agent creation instruction, a target AI agent numbering instruction, and a database numbering instruction corresponding to the target AI agent sent by the management end device; According to the target AI agent creation instruction, a target AI agent and its corresponding database in the target teaching and academic management scenario are created, and a document directory of the database corresponding to the target AI agent is created; according to the numbering instruction of the target AI agent and the numbering instruction of the database corresponding to the target AI agent, the number of the target AI agent and the number of the database corresponding to the target AI agent are stored, and the number of the target AI agent is sent to the user terminal device.

7. The teaching and academic affairs management method according to claim 3 is characterized in that: The teaching and academic affairs management method also includes: Before receiving the first natural language input of the target user sent by the user terminal device, receiving a second instruction sent by the management terminal device, wherein the second instruction includes an instruction for controlling the personalized setting of the target AI agent; According to the second instruction, a page for performing personalized settings of the target AI agent is displayed to the management end device; receiving a third instruction sent by the management terminal device, the third instruction including an instruction for controlling the personalized setting of the opening welcome message and logo of the target user; According to the third instruction, the opening welcome message and logo of the target user of the target AI agent are personalized.

8. A user terminal device, characterized in that: The user terminal device comprises: The user-end device interface module is used to obtain a first natural language input of a target user, send the first natural language input of the target user to a server, and receive a question and answer result sent by the server, wherein the target user includes at least one of a teacher and a student, and the first natural language input of the target user includes the intention and entity of the target user, the intention of the target user includes querying or handling business, the entity of the target user includes target information or target business, the target information refers to the information to be queried by the target user in a target teaching and academic affairs management scenario, and the target business refers to the business to be handled by the target user in a target teaching and academic affairs management scenario. The question and answer result is generated by the server based on the information query result or the business handling result, the information query result refers to the server's query result for the target information, and the business handling result refers to the server's handling result for the target business.

9. A server, characterized in that: The server comprises: The server interface module is used to receive a first natural language input of a target user sent by a user terminal device; wherein the target user includes at least one of a teacher and a student, and the first natural language input of the target user includes an intention and an entity of the target user, the intention of the target user includes querying or handling business, and the entity of the target user includes target information or target business, the target information refers to the information to be queried by the target user in a target teaching and academic affairs management scenario, and the target business refers to the business to be handled by the target user in a target teaching and academic affairs management scenario; A question-answering processing module, configured to perform a question-answering processing operation on the first natural language input of the target user; The question and answer generation module is used to generate question and answer results based on information query results or business processing results, wherein the information query results refer to the query results of the target information obtained by executing the question and answer processing operation, and the business processing results refer to the processing results of the target business obtained by executing the question and answer processing operation.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the teaching and academic affairs management method as described in any one of claims 1 to 7 are implemented.

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