CN112669183A - High education teaching material service system based on big data analysis and use method thereof - Google Patents
High education teaching material service system based on big data analysis and use method thereof Download PDFInfo
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- CN112669183A CN112669183A CN202110128802.0A CN202110128802A CN112669183A CN 112669183 A CN112669183 A CN 112669183A CN 202110128802 A CN202110128802 A CN 202110128802A CN 112669183 A CN112669183 A CN 112669183A
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Abstract
The invention discloses a high education textbook service system based on big data analysis and a using method thereof, belonging to the technical field of high education service systems, wherein the high education textbook service system based on big data analysis comprises a publisher end, a college end, a changable grain end, a distributor end and a government end, the invention also discloses a using method of the high education textbook service system based on big data analysis, which can recommend the most suitable textbooks to users through analyzing the professional types and courses of the users through big data, can also push the most suitable teaching resources to teacher groups, can synchronize the courses to a teaching affair system, can purchase the suitable textbooks in the system, breaks through the traditional textbook searching mode before, synchronizes the teacher's teaching affair courses through the teacher's course attributes, and facilitates the teacher to obtain the relevant teaching resources according to the recommended course textbooks, through thinking about millet platform + big data, satisfy mr's diversified demand around teaching material one-stop formula.
Description
Technical Field
The invention belongs to the technical field of advanced education service systems, and particularly relates to an advanced education teaching material service system based on big data analysis and a using method thereof.
Background
Tencent courses, Internet-accessible cloud classes and other big platforms are used for my courses and my learning; the user selects the content to place in the course by himself, and the user needs to actively search for the content to be added; in the thought valley, the teacher's educational administration course and the self-built course are directly and directionally pushed to the course space according to attributes of the teacher, such as school, specialty and course, through a big data algorithm of the thought valley.
Disclosure of Invention
Aiming at the current Tencent course, the Internet cloud class and other big platforms, namely my course and my study; the user selects the content to place in the course by himself, and the user needs to actively search for the content to be added; the invention provides a high education teaching material service system based on big data analysis and a use method thereof, and the system can be effectively used in cooperation with a high education teaching material service system based on big data analysis and a use method thereof.
In order to solve the above problems, the present invention adopts the following technical solutions.
A high education teaching material service system based on big data analysis comprises a publishing company end, a college end, an enjoying grain end, a distributor end and a government end.
Preferably, the publisher side is formed by combining excellent teaching materials, new-form teaching materials, new-version teaching materials, old teaching materials and popular teaching materials, the teaching materials are recorded into the publisher side for storage, data of the publisher side are sent to the college side and used by the college side, the college side comprises user attributes, teaching material construction, first teaching material selection and teaching material supply, and the enjoying grain side comprises teaching material recommendation, second teaching material selection and course space.
Preferably, the user attributes comprise schools, courtyards, specialties and courses, the publishing company screens the schools, the courtyards, the specialties and the courses contained in the user attributes, pushes appropriate teaching materials to the user, and stores the teaching materials into the course space, and the user attributes comprise corresponding information written when the user logs in.
Preferably, the first teaching materials comprise a claimed course, teaching materials recommended according to the course and selected teaching materials, the claimed course claims the recommended teaching materials through the user, the corresponding teaching materials are recommended by the system according to the information filled in by the user according to the course recommended teaching materials, and the selected teaching materials determine the teaching materials selected by the user.
Preferably, the course space includes synchronous lesson course, course-related resources and recommended teaching materials, the synchronous lesson course can carry out network synchronization to the course of teaching, and the course-related resources can provide the user with the related course resources, the recommended teaching materials can push the related teaching materials to the user.
Preferably, the dealer terminal includes order generation, stock and offline delivery, the selected teaching materials are selected by the user and then jump to the order generation page to be confirmed by the user, the stock sends data to the stock after the user confirms the data and calls the teaching materials selected by the user, and the online delivery delivers the teaching materials selected by the user after the user selects the teaching materials.
The invention also provides a use method of the higher education teaching material service system based on the big data analysis, which comprises the following specific steps:
and S1, logging in the system through the college terminal by the user, filling in user attributes, collecting the information of the user, recommending the teaching materials to the user according to the collected information, selecting the second teaching materials for the recommended teaching materials by the user, and transmitting the data to the course space.
And S2, transmitting the data recommended by the teaching materials to the synchronous lesson course, pushing the resources related to the course and the recommended teaching materials, and jumping to the selected teaching materials.
And S3, the user can also recommend the teaching materials and select the second teaching materials by the grain-sharing end and transmit the data to the course space.
And S4, the user confirms the rotated teaching materials by selecting the teaching materials, jumps to the dealer side, generates an order, and calls the teaching materials selected by the user from the stock and delivers the order on line after the user finishes payment.
Advantageous effects
Compared with the prior art, the invention has the beneficial effects that:
(1) the method and the system provided by the invention have the advantages that the professional types and courses of the users are analyzed through big data, the most suitable teaching materials are recommended to the users, the most suitable teaching resources can be pushed to teacher groups, the courses can be synchronized to the educational administration system, the suitable teaching materials can be purchased in the system, the traditional teaching material searching mode is broken through, the educational administration courses of teachers are synchronized through the course attributes of the teachers, the teachers can conveniently obtain the relevant teaching resources according to the course recommendation of the teaching materials, and the diversified requirements of the teachers in one-stop mode around the teaching materials are met through the wonderful valley platform and the big data.
Drawings
FIG. 1 is a schematic block diagram of a high education teaching material service system based on big data analysis according to the present invention;
FIG. 2 is a schematic diagram of the structure of the college terminal, the publishing company terminal and the grain-sharing terminal in the higher education teaching material service system based on big data analysis according to the present invention;
FIG. 3 is a schematic diagram of the structure of teaching material selection, course space and dealer end coordination in the high education teaching material service system based on big data analysis according to the present invention;
fig. 4 is a schematic view of the structure of the user attribute in the higher education teaching material service system based on big data analysis according to the present invention.
The corresponding relationship between the reference numbers of the figures and the names of the components in the figures is as follows:
10. a publisher side; 101. excellent teaching materials; 102. a new form of teaching material; 103. a new edition of teaching material; 104. teaching materials in the past;
105. hot teaching materials;
20. a college terminal; 201. a user attribute; 202. building teaching materials; 203. selecting a first teaching material; 204. supplying teaching materials;
30. grain ends are enjoyed; 301. recommending teaching materials; 302. selecting a second teaching material; 303. a course space;
40. a dealer end; 401. generating an order; 402. storing; 403. delivering goods offline;
50. a government terminal;
2011. school; 2012. hospital series; 2013. specialization; 2014. curriculum;
2031. claiming the course; 2032. recommending teaching materials according to the courses; 2033. selecting teaching materials;
3031. synchronizing educational administration courses; 3032. curriculum-related resources; 3033. and recommending teaching materials.
Detailed Description
The invention is further described below in connection with specific embodiments of the invention.
Example 1
As shown in fig. 1 to 4, which are schematic block diagrams of a big data analysis-based advanced education material service system according to a preferred embodiment of the present invention, the big data analysis-based advanced education material service system according to the present embodiment includes a publisher side 10, a college side 20, a grain enjoying side 30, a dealer side 40, and a government side 50.
The publisher side 10 is formed by combining excellent teaching materials 101, new-form teaching materials 102, new-version teaching materials 103, historical teaching materials 104 and popular teaching materials 105, the teaching materials are recorded into the publisher side 10 for storage, data of the publisher side 10 are sent to the college side 20 and are used by the college side 20, the college side 20 comprises user attributes 201, teaching material construction 202, first teaching material selection 203 and teaching material supply 204, and the enjoyable grain side 30 comprises teaching material recommendation 301, second teaching material selection 302 and course space 303.
The user attributes 201 include schools 2011, hospital ties 2012, specialties 2013 and courses 2014, the publisher end 10 filters and pushes appropriate textbooks to the user through the schools 2011, the hospital ties 2012, the specialties 2013 and the courses 2014 included in the user attributes 201, and stores the textbooks in the course space 303, and the user attributes 201 are formed by filling corresponding information when the client logs in.
The first teaching material selection 203 comprises a claim course 2031, recommended teaching materials 2032 according to the course and selected teaching materials 2033, the claim course 2031 identifies the recommended teaching materials through the user, the recommended teaching materials 2032 according to the course recommend the corresponding teaching materials through the information filled in by the user, and the selected teaching materials 2033 determine the teaching materials selected by the user.
The course space 303 includes a synchronous lesson course 3031, course related resources 3032, and recommended teaching materials 3033, the synchronous lesson course 3031 can perform network synchronization on teaching courses, the course related resources 3032 can provide related course resources for users, and the recommended teaching materials 3033 can push the related teaching materials to the users.
The dealer terminal 40 includes an order generation 401, an inventory 402 and an online delivery 403, the selected teaching material 2033 is selected by the user and then jumps to the page of the order generation 401 to be confirmed by the user, the inventory 402 sends data to the inventory 402 and calls the teaching material selected by the user after the user confirms, and the online delivery 403 delivers the teaching material selected by the user after the user selects.
The government terminal 50 can transmit the data of the system to the government terminal 50, so that government can conveniently monitor and control the data of the system.
The invention also provides a use method of the higher education teaching material service system based on the big data analysis, which comprises the following specific steps:
s1, logging in the system through the university terminal 20 by the user, filling in the user attributes 201, collecting the information of the user, recommending the teaching materials to the user according to the collected information 301, selecting 302 the second teaching materials for the recommended teaching materials by the user, and transmitting the data to the course space 303.
S2, transmitting the data of the teaching material recommendation 301 to the synchronous lesson 3031, pushing the lesson-related resources 3032 and the recommended teaching materials 3033, and then jumping to the selected teaching materials 2033.
S3, the user can also perform textbook recommendation 301 and second textbook selection 302 through the enjoying grain end 30 and transmit the data to the lesson space 303.
S4, the user confirms the rotated teaching material by selecting the teaching material 2033, and then jumps to the dealer end 40, and creates an order 401, and after the user completes payment, calls the teaching material selected by the user from the stock 402 and delivers it on line 403.
While the invention has been described in further detail in connection with specific embodiments thereof, it will be understood that the invention is not limited thereto, and that various other modifications and substitutions may be made by those skilled in the art without departing from the spirit of the invention, which should be considered to be within the scope of the invention as defined by the appended claims.
Claims (7)
1. A higher education teaching material service system based on big data analysis is characterized by comprising a publishing company terminal (10), a college terminal (20), an enjoying grain terminal (30), a distributor terminal (40) and a government terminal (50).
2. The higher education textbook service system based on big data analysis according to claim 1, wherein: the publishing house (10) is formed by combining excellent teaching materials (101), new-form teaching materials (102), new-version teaching materials (103), old teaching materials (104) and popular teaching materials (105), the teaching materials are recorded into the publishing house (10) for storage, data of the publishing house (10) are sent to a college house (20) and used by the college house (20), the college house (20) comprises user attributes (201), teaching material construction (202), first teaching material selection (203) and teaching material supply (204), and the enjoying grain house (30) comprises teaching material recommendation (301), second teaching material selection (302) and course space (303).
3. The higher education textbook service system based on big data analysis according to claim 1, wherein: user attribute (201) including school (2011), institute (2012), specialty (2013) and course (2014), publisher end (10) including school (2011), institute (2012), specialty (2013) and course (2014) through user attribute (201) filter and to the user propelling movement suitable textbook, and deposit the textbook in course space (303), user attribute (201) fill out corresponding information when logging in by the customer and constitute.
4. The higher education textbook service system based on big data analysis according to claim 1, wherein: the first teaching material selection (203) comprises a claimed course (2031), recommended teaching materials (2032) according to the course and selected teaching materials (2033), the claimed course (2031) identifies the recommended teaching materials through a user, the recommended teaching materials are recommended by a system according to information filled in by the user of the recommended teaching materials (2032) according to the course, and the selected teaching materials (2033) are determined by the user.
5. The higher education textbook service system based on big data analysis according to claim 1, wherein: the course space (303) comprises synchronous lesson courses (3031), course related resources (3032) and recommended teaching materials (3033), the synchronous lesson courses (3031) can carry out network synchronization on the teaching courses, the course related resources (3032) can provide related course resources for users, and the recommended teaching materials (3033) can push the related teaching materials to the users.
6. The higher education textbook service system based on big data analysis according to claim 1, wherein: the dealer terminal (40) comprises an order generation (401), an inventory (402) and an offline delivery (403), wherein the selected teaching materials (2033) are selected by the user and then jump to an order generation (401) page to be confirmed by the user, the inventory (402) sends data to the inventory (402) and calls the teaching materials selected by the user after the user confirms, and the offline delivery (403) delivers the teaching materials selected by the user after the user selects.
7. The method of claim 1, wherein the method comprises the following steps: the method comprises the following steps:
s1, the user logs in the system through the college terminal (20), fills in user attributes (201), collects information of the user, recommends teaching materials for the user according to the collected information (301), selects a second teaching material for the recommended teaching materials by the user (302), and transmits data to the course space (303).
S2, transmitting the data of the teaching material recommendation (301) to the synchronous lesson (3031), pushing the lesson related resources (3032) and the recommended teaching materials (3033), and jumping to the selected teaching materials (2033).
S3, the user can also recommend teaching materials (301) and select second teaching materials (302) through the grain sharing end (30) and transmit data to the course space (303).
S4, the user confirms the rotated teaching materials by selecting the teaching materials (2033), jumps to the dealer end (40), generates an order (401), and calls the teaching materials selected by the user from the stock (402) and delivers the teaching materials online (403) after the user finishes payment.
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| CN202110128802.0A CN112669183A (en) | 2021-01-29 | 2021-01-29 | High education teaching material service system based on big data analysis and use method thereof |
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| CN202110128802.0A CN112669183A (en) | 2021-01-29 | 2021-01-29 | High education teaching material service system based on big data analysis and use method thereof |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102508846A (en) * | 2011-09-26 | 2012-06-20 | 深圳中兴网信科技有限公司 | Internet based method and system for recommending media courseware |
| CN105117996A (en) * | 2015-07-30 | 2015-12-02 | 中国传媒大学 | Intelligent campus course information recommendation and sharing system |
| CN112232991A (en) * | 2020-09-25 | 2021-01-15 | 杭州米拉克网络科技有限公司 | College teaching material collection and order management system |
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- 2021-01-29 CN CN202110128802.0A patent/CN112669183A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102508846A (en) * | 2011-09-26 | 2012-06-20 | 深圳中兴网信科技有限公司 | Internet based method and system for recommending media courseware |
| CN105117996A (en) * | 2015-07-30 | 2015-12-02 | 中国传媒大学 | Intelligent campus course information recommendation and sharing system |
| CN112232991A (en) * | 2020-09-25 | 2021-01-15 | 杭州米拉克网络科技有限公司 | College teaching material collection and order management system |
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Application publication date: 20210416 |