CN115470330A - Online education consultation system and method based on big data - Google Patents
Online education consultation system and method based on big data Download PDFInfo
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Abstract
The invention discloses an online education and consultation system based on big data, which comprises an education and consultation system, wherein an information classification module is arranged in the education and consultation system, an information extraction module is arranged in the education and consultation system, an information consultation module is arranged in the education and consultation system, the education and consultation system is electrically connected with a user terminal through a communication network port, and the education and consultation system is electrically connected with the Internet through the communication network port. Diversified system use can be carried out through the user terminal module, through information classification module, can carry out detailed classification to advisory information, make things convenient for the quick reply of consultation problem, through the information extraction module, can carry out extraction and identification to each item of information of user input, improve the convenience that the user used the system, can make corresponding processing and feedback through multiple inquiry mode to various consultation demands of user through the information advisory module.
Description
Technical Field
The invention relates to the technical field of education consultation, in particular to an online education consultation system and method based on big data.
Background
Educational counseling is an educational service provided by teachers and technicians in an open educational process for reading the academic, technical, information and career aspects of students. Educational counseling is an important way for developing educational textbooks, educating people, serving society and winning self development. In a competition environment with continuous internationalization, complication and intensification, most students in China can more or less encounter some career development problems, and the existing education consultation management information system not only facilitates the education consultation institutions to collect and arrange professional information, but also can provide effective education consultation services for users.
When education consultation is carried out, the classification is not detailed, more time is consumed when search is carried out, and the consultation mode is single, so that better consultation service cannot be provided. Therefore, an online education and consultation system and method based on big data are provided.
Summary of the invention
Aiming at the problems in the prior art, the invention aims to provide an online education consultation system and method based on big data, which can realize detailed classification according to consultation information and feedback treatment of block consultation information and provide more consultation modes.
In order to solve the problems, the invention adopts the following technical scheme:
the utility model provides an online education advisory system based on big data, includes education advisory system, education advisory system's inside is provided with information classification module, education advisory system's inside is provided with the information extraction module, education advisory system's inside is provided with the information advisory module, education advisory system has user terminal through communication net gape electric connection, education advisory system has the internet through communication net gape electric connection.
As a preferred scheme of the present invention, the information classification module includes a category classification module, a subject classification module, and a stage classification module, the category classification module is used for classifying categories to which the advisory information belongs, the subject classification module is used for classifying subjects to which the advisory information belongs, the stage classification module is used for classifying learning stages to which the advisory information belongs, the stage classification module is electrically connected to the subject classification module, the subject classification module is electrically connected to the category classification module, the subject classification module, and the stage classification module are all electrically connected to the information classification module, and the information classification module is electrically connected to the education advisory system.
As a preferred scheme of the present invention, the information extraction module includes a keyword module, a voice extraction module and a picture recognition module, the keyword module is used for extracting keyword information of content input by a user, the voice extraction module is used for extracting effective information of voice content input by the user, the picture recognition module is used for extracting effective information of picture content input by the user, the picture recognition module is electrically connected to the voice extraction module, the voice extraction module is electrically connected to the keyword module, the voice extraction module and the picture recognition module are all electrically connected to the information extraction module, and the information extraction module is electrically connected to the education consultation system.
As a preferred solution of the present invention, the information consulting module includes an online retrieving module, an online questioning module, a fuzzy query module, a question answering module, a trouble answering module and a manual service module, the online retrieving module is used for retrieving the user input consulting information, the online questioning module is used for online questioning the consulting information by the user, the fuzzy query module is used for fuzzy query of the user input information, the question answering module is used for answering feedback of the user query information, the trouble answering module is used for answering the user with consulting questions, operation questions and the like, the manual service module is used for manual service answering after connection, the manual service module is electrically connected to the trouble answering module, the trouble answering module is electrically connected to the question answering module, the question answering module is electrically connected to the fuzzy query module, the online questioning module is electrically connected to the online retrieving module, the online questioning module, the question answering module, the manual service module and the manual service module are electrically connected to the consulting information system.
As a preferred scheme of the present invention, the user terminal includes a computer module and a mobile terminal module, the computer module is used for a user to log in the user system by a computer, the mobile terminal module is used for a user to log in the user system by a mobile terminal, the computer module is electrically connected to the mobile terminal module, and both the computer module and the mobile terminal module are electrically connected to the user terminal.
As a preferable scheme of the invention, the education and consultation system is electrically connected with a data center through a communication network port, and the data center is used for storing various information in the system.
As a preferred scheme of the present invention, the education and consultation system is electrically connected to a cloud server through a communication network port, and the cloud server is used for processing and feeding back various pieces of work information in the system.
A consultation method of an online education consultation system based on big data comprises the following steps:
the method comprises the following steps: starting an education consultation system for networking work of the system;
step two: the login user terminal is used for the user to select different using modes for logging in the system;
step three: the starting information classification module is used for carrying out detailed classification query on the consultation information required by the user;
step four: the starting information extraction module is used for identifying, analyzing and extracting various information to be inquired input by a user;
step five: the information consultation starting module is used for performing corresponding processing and feedback on various consultation requirements of the user in a plurality of inquiry modes;
step six: and the starting data center is used for storing various query information and working logs of the login user, so that the user can conveniently search and use the information in the follow-up process, and simultaneously the internal storage content can be downloaded and updated in a networking way.
In a preferred embodiment of the present invention, B1 includes using a computer to log in, and B2 includes using a mobile terminal to log in.
As a preferred solution of the present invention, the C includes C1 start category classification, C2 start subject classification, C3 start stage classification, the D includes D1 start keyword extraction, D2 start speech content extraction, D3 start picture recognition extraction, the E includes E1 start online retrieval, E2 start online questioning, E3 start fuzzy query, E4 start question answering, E5 start trouble answering, and E6 start manual service.
Compared with the prior art, the invention has the advantages that: diversified system use can be carried out through the user terminal module, through information classification module, can carry out detailed classification to advisory information, make things convenient for the quick answer of advisory problem, through the information extraction module, can extract the discernment to user input each item information, improve the convenience that the user used the system, can make corresponding processing and feedback through multiple inquiry mode to various advisory demands of user through the information advisory module.
The data information extraction monitoring module is used for monitoring extracted data information, the data information search monitoring module is used for monitoring searched data information, and the information transmission module is used for transmitting the data information; the information receiving module is used for receiving information data, the common data automatic arrangement module is used for automatically arranging common data, and the common data manual arrangement module is used for manually arranging the common data.
Drawings
FIG. 1 is a schematic block diagram of an online education consultation system and method based on big data according to the present invention;
FIG. 2 is a flowchart illustrating the operation of a big data based on-line education consultation system and method according to the present invention;
FIG. 3 is a user terminal workflow diagram of a big data based online education consultation system and method of the present invention;
FIG. 4 is a flowchart of the information classification module of the big data based on-line education consultation system and method of the present invention;
FIG. 5 is a flowchart of the information extraction module of the big data based on-line education consultation system and method of the present invention;
fig. 6 is a flowchart of an information consultation module of the big data-based online education consultation system and method according to the present invention.
The reference numbers in the figures illustrate:
1. an educational advisory system; 2. an information classification module; 3. an information extraction module; 4. an information consultation module; 5. a data center; 6. the Internet; 7. a cloud server; 8. a user terminal; 21. a category classification module; 22. a subject classification module; 23. a stage classification module; 31. a keyword module; 32. a voice extraction module; 33. a picture identification module; 41. an online retrieval module; 42. an online questioning module; 43. a fuzzy query module; 44. a question answering module; 45. a difficult answering module; 46. a manual service module; 81. a computer module; 82. and a mobile terminal module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and all other embodiments obtained by those skilled in the art without any inventive work are within the scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "top/bottom", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted", "provided", "fitted/connected", "connected", and the like, are to be interpreted broadly, such as "connected", which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example (b):
referring to fig. 1-6, an online education and consultation system based on big data comprises an education and consultation system 1, wherein an information classification module 2 is arranged inside the education and consultation system 1, an information extraction module 3 is arranged inside the education and consultation system 1, an information consultation module 4 is arranged inside the education and consultation system 1, the education and consultation system 1 is electrically connected with a user terminal 8 through a communication network port, and the education and consultation system 1 is electrically connected with the internet 6 through the communication network port.
In this embodiment, the category classification module 21 is configured to classify a category to which the advisory information belongs, the subject classification module 22 is configured to classify a subject to which the advisory information belongs, and the stage classification module 23 is configured to classify a learning stage to which the advisory information belongs; the keyword module 31 is used for extracting keyword information of the content input by the user, the voice extraction module 32 is used for extracting effective information of the voice content input by the user, and the picture recognition module 33 is used for extracting effective information of the picture content input by the user; the online retrieval module 41 is used for retrieving the consultation information input by the user, the online questioning module 42 is used for online questioning the consultation information by the user, the fuzzy query module 43 is used for fuzzy query of the information input by the user, the question reply module 44 is used for reply feedback of the query information of the user, the difficult and complicated answer module 45 is used for answering the consultation question, the operation question and the like encountered by the user, and the manual service module 46 is used for answering the connected manual service; the computer module 81 is used for a user to log in and use the system by means of a computer, and the mobile terminal module 82 is used for a user to log in and use the system by means of a mobile terminal.
Specifically, the information classification module 2 includes a category classification module 21, a subject classification module 22 and a stage classification module 23, the category classification module 21 is used for classifying the category to which the consultation information belongs, the subject classification module 22 is used for classifying the subject to which the consultation information belongs, the stage classification module 23 is used for classifying the learning stage to which the consultation information belongs, the stage classification module 23 is electrically connected to the subject classification module 22, the subject classification module 22 is electrically connected to the category classification module 21, the subject classification module 22 and the stage classification module 23 are all electrically connected to the information classification module 2, and the information classification module 2 is electrically connected to the education and consultation system 1.
In this embodiment, the information classification module 2 includes a category classification module 21, a subject classification module 22, and a stage classification module 23, where the category classification module 21 is configured to classify a category to which the advisory information belongs, the subject classification module 22 is configured to classify a subject to which the advisory information belongs, and the stage classification module 23 is configured to classify a learning stage to which the advisory information belongs.
Specifically, the information extraction module 3 includes a keyword module 31, a voice extraction module 32 and a picture recognition module 33, the keyword module 31 is used for extracting keyword information of the user input content, the voice extraction module 32 is used for extracting effective information of the user input voice content, the picture recognition module 33 is used for extracting effective information of the user input picture content, the picture recognition module 33 is electrically connected to the voice extraction module 32, the voice extraction module 32 is electrically connected to the keyword module 31, the voice extraction module 32 and the picture recognition module 33 are both electrically connected to the information extraction module 3, and the information extraction module 3 is electrically connected to the educational consultation system 1.
In this embodiment, the information extraction module 3 includes a keyword module 31, a voice extraction module 32, and a picture recognition module 33, where the keyword module 31 is used to extract keyword information of content input by a user, the voice extraction module 32 is used to extract effective information of voice content input by the user, and the picture recognition module 33 is used to extract effective information of picture content input by the user.
Specifically, the information consulting module 4 includes an online retrieving module 41, an online questioning module 42, a fuzzy inquiring module 43, a question answering module 44, a trouble answering module 45 and a manual service module 46, the online retrieving module 41 is used for retrieving the information input by the user, the online questioning module 42 is used for online questioning the information input by the user, the fuzzy inquiring module 43 is used for fuzzy inquiry of the information input by the user, the question answering module 44 is used for answering the information input by the user, the trouble answering module 45 is used for answering the inquiry questions and the operation questions encountered by the user, the manual service module 46 is used for manual service answering after connection, the manual service module 46 is electrically connected to the trouble answering module 45, the trouble answering module 45 is electrically connected to the question answering module 44, the question answering module 44 is electrically connected to the fuzzy inquiring module 43, the fuzzy inquiring module 43 is electrically connected to the online questioning module 42, the online questioning module 42 is electrically connected to the online retrieving module 41, the online questioning module 42, the fuzzy inquiring module 43, the problem answering module 44, the manual service module 45 and the information answering module 46 are electrically connected to the consulting system 4, and the information consulting module 1 is electrically connected to the information consulting system.
In this embodiment, the information consulting module 4 includes an online retrieving module 41, an online questioning module 42, a fuzzy querying module 43, a question answering module 44, a trouble answering module 45 and a manual service module 46, where the online retrieving module 41 is used for retrieving the information input by the user, the online questioning module 42 is used for online questioning the information input by the user, the fuzzy querying module 43 is used for fuzzy querying of the information input by the user, the question answering module 44 is used for answering and feeding back the information queried by the user, the trouble answering module 45 is used for answering the consultation question, the operation question and the like encountered by the user, and the manual service module 46 is used for answering the manual service after connection.
Specifically, the user terminal 8 includes a computer module 81 and a mobile terminal module 82, the computer module 81 is used for a user to log in the user system in a computer mode, the mobile terminal module 82 is used for the user to log in the user system in a mobile terminal mode, the computer module 81 is electrically connected to the mobile terminal module 82, and both the computer module 81 and the mobile terminal module 82 are electrically connected to the user terminal 8.
In this embodiment, the computer module 81 is used for a user to log in and use the system by a computer, and the mobile terminal module 82 is used for a user to log in and use the system by a mobile terminal.
Specifically, the education and consultation system 1 is electrically connected with a data center 5 through a communication network port, and the data center 5 is used for storing various information in the system.
In this embodiment, the data center 5 is used for storing various information in the system, and is convenient for storing various work information of the system and user consultation information.
Specifically, the education and consultation system 1 is electrically connected with a cloud server 7 through a communication network port, and the cloud server 7 is used for processing and feeding back various working information in the system.
In this embodiment, the cloud server 7 is used for processing and feeding back various pieces of work information in the system, and the cloud server 7 is a system work core, so that safe and stable work of the system is guaranteed.
A consultation method of an online education consultation system based on big data comprises the following steps:
the method comprises the following steps: starting an education consultation system A for the networking work of the system;
step two: the login user terminal B is used for the user to select different using modes for logging in the system;
step three: the starting information classification module C is used for carrying out detailed classification query on the consultation information required by the user;
step four: the starting information extraction module D is used for identifying, analyzing and extracting various information to be inquired input by a user;
step five: the initial information consultation module E is used for performing corresponding processing and feedback on various consultation requirements of the user in a plurality of inquiry modes;
step six: and the starting data center F is used for storing various query information and working logs of the login user, so that the user can conveniently search and use the information in the follow-up process, and simultaneously the internal storage content can be downloaded and updated in a networking way.
Specifically, B includes B1 using a computer to log in, and B2 using a mobile terminal to log in.
Specifically, C includes C1 start category classification, C2 start discipline classification, and C3 start stage classification.
Specifically, D comprises the steps that D1 starts keyword extraction, D2 starts voice content extraction, and D3 starts picture recognition extraction.
Specifically, E comprises E1 starting online retrieval, E2 starting online questioning, E3 starting fuzzy query, E4 starting question answering, E5 starting trouble answering and E6 starting manual service.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the equivalent replacement or change according to the technical solution and the modified concept of the present invention should be covered by the scope of the present invention.
Claims (10)
1. The utility model provides an online education advisory system based on big data, includes education advisory system (1), its characterized in that, the inside of education advisory system (1) is provided with information classification module (2), the inside of education advisory system (1) is provided with information extraction module (3), the inside of education advisory system (1) is provided with information advisory module (4), education advisory system (1) has user terminal (8) through communication net mouth electric connection, education advisory system (1) has internet (6) through communication net mouth electric connection.
2. The big data based on-line education and consultation system according to claim 1, wherein the information classification module (2) comprises a category classification module (21), a subject classification module (22) and a stage classification module (23), the category classification module (21) is used for consulting the category classification of the information, the subject classification module (22) is used for consulting the category classification of the subject to which the information belongs, the stage classification module (23) is used for consulting the category classification of the learning stage to which the information belongs, the stage classification module (23) is electrically connected to the subject classification module (22), the subject classification module (22) is electrically connected to the category classification module (21), the subject classification module (22) and the stage classification module (23) are all electrically connected to the information classification module (2), and the information classification module (2) is electrically connected to the education and consultation system (1).
3. The online education and consultation system based on big data according to claim 1, wherein the information extraction module (3) comprises a keyword module (31), a voice extraction module (32) and a picture recognition module (33), the keyword module (31) is used for extracting keyword information of user input contents, the voice extraction module (32) is used for extracting effective information of user input voice contents, the picture recognition module (33) is used for extracting effective information of user input picture contents, the picture recognition module (33) is electrically connected to the voice extraction module (32), the voice extraction module (32) is electrically connected to the keyword module (31), the voice extraction module (32) and the picture recognition module (33) are all electrically connected to the information extraction module (3), and the information extraction module (3) is electrically connected to the education and consultation system (1).
4. The big-data-based online education and consultation system according to claim 1, wherein the information consultation module (4) includes an online retrieval module (41), an online questioning module (42), a fuzzy query module (43), a question answering module (44), a question answering module (45) and a manual service module (46), the online retrieval module (41) is used for retrieving the user input consultation information, the online questioning module (42) is used for online questioning the user for the consultation information, the fuzzy query module (43) is used for fuzzy query of the user input information, the question answering module (44) is used for answering the user's query information, the question answering module (45) is used for answering the user to meet consultation questions, operation questions and the like, the manual service module (46) is used for answering after connection, the manual service module (46) is electrically connected to the question answering module (45), the question answering module (45) is electrically connected to the question answering module (44), the question module (44) is electrically connected to the question answering module (43), the fuzzy query module (42) is electrically connected to the online questioning module (41), and the question answering module (42) is electrically connected to the online questioning module (41), and the manual service module (46) is electrically connected to the retrieval module (41), and the question answering module (42), the online questioning module (41) and the answer module (42) is electrically connected to the online questioning module (41), and the manual service module (42), and the answer module (42) is electrically connected to the online questioning module (41), and the electronic answering module (42), the user, the electronic answering module (41) is connected to the user, the electronic answering module (41), and the electronic answering module (46), the electronic answering module (41) is connected to the electronic answering module (41) and the electronic answering module (41) is connected to the online questioning module (44), the electronic answering module (41), the electronic answering module (42), the fuzzy query module (43), the question answering module (44), the puzzle answering module (45) and the manual service module (46) are all electrically connected to the information consultation module (4), and the information consultation module (4) is electrically connected to the education consultation system (1).
5. The big data-based online education and consultation system according to claim 1, wherein the user terminal (8) includes a computer module (81) and a mobile terminal module (82), the computer module (81) is used for the user to log in and use the system by means of a computer, the mobile terminal module (82) is used for the user to log in and use the system by means of a mobile terminal, the computer module (81) is electrically connected to the mobile terminal module (82), and the computer module (81) and the mobile terminal module (82) are both electrically connected to the user terminal (8).
6. The big data-based online education and consultation system according to claim 1, wherein the education and consultation system (1) is electrically connected with a data center (5) through a communication network port, and the data center (5) is used for storing various information in the system.
7. The big data-based online education and consultation system according to claim 1, wherein the education and consultation system (1) is electrically connected with a cloud server (7) through a communication network port, and the cloud server (7) is used for processing and feeding back various working information in the system.
8. The consultation method of the big-data-based online educational consultation system according to any one of claims 1 to 7, comprising the steps of:
the method comprises the following steps: starting an education consultation system A for the networking work of the system;
step two: the login user terminal B is used for the user to select different using modes for logging in the system;
step three: the start information classification module C is used for carrying out detailed classification query on the consultation information required by the user;
step four: the starting information extraction module D is used for identifying, analyzing and extracting various information to be inquired input by a user;
step five: the information consultation starting module E is used for performing corresponding processing and feedback on various consultation requirements of the user in a plurality of inquiry modes;
step six: and the starting data center F is used for storing various query information and working logs of the login user, so that the user can conveniently search and use the information in the follow-up process, and simultaneously the internal storage content can be downloaded and updated in a networking way.
9. The consultation method of the big data-based online educational consultation system according to claim 8, wherein B comprises (B1) login using a computer and (B2) login using a mobile terminal.
10. The consulting method of an online education and consultation system based on big data according to claim 8, wherein the C includes (C1) a start category classification, (C2) a start subject classification, (C3) a start stage classification, the D includes (D1) a start keyword extraction, (D2) a start voice content extraction, (D3) a start picture recognition extraction, the E includes (E1) a start online retrieval, (E2) a start online questioning, (E3) a start fuzzy query, (E4) a start question answering, (E5) a start doubt answering, and (E6) a start manual service.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115934923A (en) * | 2023-03-15 | 2023-04-07 | 威海海洋职业学院 | E-commerce reply method and system based on big data |
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2022
- 2022-08-29 CN CN202211036998.1A patent/CN115470330A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115934923A (en) * | 2023-03-15 | 2023-04-07 | 威海海洋职业学院 | E-commerce reply method and system based on big data |
| CN115934923B (en) * | 2023-03-15 | 2023-05-05 | 威海海洋职业学院 | E-commerce replying method and system based on big data |
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