Professional course education system

Abstract

The invention provides a professional course education system comprising a student terminal used for obtaining student information; the data end is used for collecting student information of the student end, identifying the student information and sending professional course education data to the student end based on the student information; the data storage module comprises a professional course education data storage unit used for storing data contents related to professional courses, and a first subject data storage unit used for storing first subject education data contents; the data association module is used for performing content identification on data in the professional course education data storage unit and the first subject data storage unit; confirming the associated content stored in the first subject data storage unit; and establishing a link at the professional course education data storage unit. According to the invention, the data association module is adopted, and content identification and association are carried out on data in the professional course education data storage unit and the first subject data storage unit.

Description

Technical Field

[0001] The invention relates to the field of teaching, and in particular to a professional course education system. Background Art

[0002] In subject education, history, geography and other subjects have important educational value, but currently most colleges and universities focus on professional subject education, lack of educational courses of other subjects that are compatible with professional subjects, resulting in a lack of relevance with other subject courses. Therefore, in order to enrich the content of course teaching and improve the effect of other subject courses, it is an ideal educational method to combine other subject courses with regular professional courses. It is possible to combine other subject courses with professional courses in practice, so that students can deeply understand the development process of professional subjects while learning and educating, and then experience the charm of other subject courses, and improve students' comprehensive quality in practice. Summary of the invention

[0003] The present invention provides a professional course education system to combine the education of other subjects with the professional course education.

[0004] The present invention provides a professional course education system, comprising:

[0005] A student terminal, wherein the student terminal is used to obtain student information;

[0006] The data end is used to collect student information from the student end, identify the student information, and send professional course education data to the student end based on the student information;

[0007] A data storage module, the data storage module includes a professional course education data storage unit and a first subject data storage unit, the professional course education data storage unit is used to store data content related to the professional course, and the first subject data storage unit is used to store first subject education data content;

[0008] A data association module, the data association module is used to perform content identification on the data in the professional course education data storage unit and the first subject data storage unit respectively; based on the results of content identification, confirm the associated content stored in the first subject data storage unit; establish a link at the professional course education data storage unit, and the link is used to obtain the associated content stored in the first subject data storage unit.

[0009] Furthermore, the professional course education system also includes:

[0010] A new media module is used to index the associated content stored in the first subject data storage unit in the new media, obtain new media data that matches the associated content, and associate the new media data with the associated content.

[0011] Furthermore, the association process includes:

[0012] Get the link, name data, and cover image of new media data;

[0013] Package the link, name data, and cover image into a file package and associate it with the related content.

[0014] Furthermore, the first subject education data content includes:

[0015] At least one of the first data, the second data, and the third data.

[0016] Furthermore, the professional course education system also includes:

[0017] A data collection module is used to collect the first subject education data content in the network and store it in the first subject data storage unit.

[0018] Furthermore, the data association module includes a first data association process:

[0019] Perform content recognition on the data in the professional course education data storage unit and the first subject data storage unit, obtain corresponding features, identify the degree of correlation between the features in different storage units, confirm related content based on the degree of correlation, and establish corresponding links.

[0020] Furthermore, the content recognition of the data in the professional course education data storage unit and the first subject data storage unit is performed to obtain corresponding features, and the degree of association of the features in different storage units is identified, and the related content is confirmed based on the degree of association, and the corresponding links are established, including:

[0021] S101. Perform content recognition on the first data in the professional course education data storage unit to obtain a first feature;

[0022] S102. Perform content recognition on the second data in the first subject data storage unit to obtain a second feature;

[0023] S103. Determine the degree of association between the first feature and the second feature;

[0024] S104. If the association degree satisfies the preset condition, it is determined that the first data is associated with the second data, and the second data is the first associated content of the first data;

[0025] S105. Establish a link at the first data, wherein the link is used to obtain the first associated content stored in the first subject data storage unit.

[0026] Furthermore, the preset conditions include:

[0027] The first vector values ​​of the first feature and the second feature are obtained. If the first vector values ​​of the first feature and the second feature are smaller than the vector threshold, the first data is associated with the second data.

[0028] Furthermore, the professional course education system also includes:

[0029] The management end is used to set the data association process. The user of the management end can set the threshold of the first vector value according to the needs.

[0030] Furthermore, the data association module further includes a second data association process:

[0031] Perform content recognition on each data in the first subject data storage unit, obtain corresponding features, identify the degree of association between different features, confirm related content based on the degree of association, and establish corresponding links.

[0032] Compared with the prior art, the present invention adopts a data association module to realize the association between professional course education data and first subject education data by performing content recognition and association on the data in the professional course education data storage unit and the first subject data storage unit. While conducting professional course education, the relevant first subject education content can be synchronously displayed, including the first data, the second data, the third data and other related content. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is the process of associating data in the professional course education data storage unit and the first subject data storage unit in the embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only embodiments of a part of the present invention, rather than all embodiments.

[0035] The embodiment of the present invention discloses a professional course education system, including:

[0036] A student terminal, wherein the student terminal is used to obtain student information;

[0037] The student terminal is a hardware device such as a mobile phone, a smart tablet or a computer, or it can be software running on a hardware device such as a mobile phone, a smart tablet or a computer. Specifically, the embodiment of the present invention takes software as an example. The student terminal can collect student information, including student name, student number, major type, grade, etc. The student terminal obtains the student information to form a learning account corresponding to the student one by one;

[0038] The data end is used to collect student information from the student end, identify the student information, and send professional course education data to the student end based on the student information;

[0039] The data end analyzes the student account information and sends relevant professional course education data to the student based on the student information. The professional course education data includes professional course education data related to the subject. Taking the medical course as an example, the professional course education data includes public basic courses, biomedical basic courses, clinical medicine courses, medical imaging courses, emergency medicine courses, etc.

[0040] A data storage module, the data storage module includes a professional course education data storage unit and a first subject data storage unit, the professional course education data storage unit is used to store data content related to the professional course, and the first subject data storage unit is used to store first subject education data content;

[0041] Among them, the professional course education data storage unit and the first subject data storage unit are specific databases for storing professional course education data and first subject education data respectively;

[0042] A data association module is used to perform content recognition on the data in the professional course education data storage unit and the first subject data storage unit respectively. Specifically, semantic recognition, AI recognition and other methods can be used to extract keywords of the data content; based on the keywords of content recognition, content association is performed so that the first subject education data and the professional course education data are linked. When students view the professional course education data, thumbnails, links and other methods can be used to display the first subject education data content, so that students can easily view the first subject education data content while studying regular courses.

[0043] Among them, the data association module is used to perform content identification on the data in the professional course education data storage unit and the first subject data storage unit respectively; based on the results of content identification, confirm the associated content stored in the first subject data storage unit; establish a link at the professional course education data storage unit, and the link is used to obtain the associated content stored in the first subject data storage unit.

[0044] Compared with the prior art, the present invention adopts a data association module to realize the association between professional course education data and first subject education data by performing content recognition and association on the data in the professional course education data storage unit and the first subject data storage unit. While the professional course education is in progress, the relevant first subject education content can be synchronously displayed.

[0045] Optionally, the professional course education system further includes:

[0046] A new media module is used to index the associated content stored in the first subject data storage unit in the new media, obtain new media data that matches the associated content, and associate the new media data with the associated content.

[0047] Among them, new media refers to new media forms developed after traditional media such as newspapers, radio, and television, such as Weibo, Douyin, Bilibili and other platforms. There are a large number of creators on new media who are involved in the interpretation and dissemination of other disciplines such as history and culture, geography and culture. Therefore, the new media module can identify and acquire videos on new media, and extract video materials related to other disciplines, so that students can better understand the knowledge content of other disciplines.

[0048] Of course, it should be noted that there are many videos with bad content in the current new media materials. Therefore, after completing the acquisition of new media data, the new media module also sends a review request to the administrator on the data end, and the administrator reviews the acquired new media data. After the administrator confirms and approves it, the new media module associates the new media data with the related content.

[0049] The embodiment of the present invention realizes the acquisition and review process of new media content by setting up a new media module, better utilizes current media resources, improves the educational effect on history and culture, makes historical and cultural content more intuitive and easier to perceive, and improves students' understanding of knowledge content in other subjects.

[0050] In particular, the association process includes:

[0051] Get the link, name data, and cover image of new media data;

[0052] Package the link, name data, and cover image into a file package and associate it with the related content.

[0053] The association processing specifically includes:

[0054] Extract links, name data, and cover images from new media data;

[0055] Packaging and encapsulating the extracted content to form a file package;

[0056] Associate the file package with the associated content.

[0057] When students are studying related content, they can open the file package to get a brief introduction to the new media data, which helps them understand the new media content. If they are interested in the content, they can click on the link and go to the corresponding new media platform to view the content.

[0058] Optionally, the first subject education data content includes:

[0059] At least one of the first data, the second data, and the third data.

[0060] Among them, the first subject education data content can be specifically selected as history subject education data.

[0061] The first subject educational data content may include historical events.

[0062] The first subject education data content may include deeds of historical figures.

[0063] The first subject educational data content may include relevant historical context.

[0064] Optionally, the professional course education system further includes:

[0065] A data collection module is used to collect the first subject education data content in the network and store it in the first subject data storage unit.

[0066] Among them, in order to address the problem that the content stored in the storage unit may not be comprehensive, by setting up a data acquisition module, the first subject education data content in the network can be extracted automatically to complete the relevant data. At the same time, after completing the network data extraction, a review request is sent to the administrator at the data end, and the administrator reviews the extracted network data. After the administrator confirms the approval, the extracted network data is stored in the first subject data storage unit.

[0067] Optionally, the data association module includes a first data association process:

[0068] Perform content recognition on the data in the professional course education data storage unit and the first subject data storage unit, obtain corresponding features, identify the degree of correlation between the features in different storage units, confirm related content based on the degree of correlation, and establish corresponding links.

[0069] Among them, content recognition is performed on the data in the professional course education data storage unit and the first subject data storage unit through semantic recognition, AI recognition and other methods to obtain corresponding features, such as keywords; if the keywords of the first data in the professional course education data storage unit and the second data in the first subject data storage unit are highly identical or similar, it means that the first data and the second data are highly related, then it is confirmed that the first data and the second data belong to related content, and a link to the second data is established at the first data, so that when students view the first data, they can view the content of the second data through the link.

[0070] In particular, such as Figure 1As shown, the content recognition of the data in the professional course education data storage unit and the first subject data storage unit is performed, the corresponding features are obtained, and the correlation degree of the features in different storage units is identified, the related content is confirmed based on the correlation degree, and the corresponding links are established, including:

[0071] S101. Perform content recognition on the first data in the professional course education data storage unit to obtain a first feature;

[0072] wherein, obtaining a first feature of the first data by means of semantic recognition, AI recognition, etc., wherein the first feature may specifically be a keyword;

[0073] S102. Perform content recognition on the second data in the first subject data storage unit to obtain a second feature;

[0074] Wherein, a second feature of the second data is obtained by means of semantic recognition, AI recognition, etc., and the second feature may specifically be a keyword;

[0075] S103. Determine the degree of association between the first feature and the second feature;

[0076] Among them, by comparing the difference between the first feature and the second feature, the correlation degree between the first feature and the second feature can be further identified. If the difference between the first feature and the second feature is large, it means that the correlation degree between the first feature and the second feature is small;

[0077] S104. If the association degree satisfies the preset condition, it is determined that the first data is associated with the second data, and the second data is the first associated content of the first data;

[0078] S105. Establish a link at the first data, wherein the link is used to obtain the first associated content stored in the first subject data storage unit.

[0079] A link to the second data or a snapshot of the second data is established at the first data, so that when students view the first data, they can view the content of the second data through the link.

[0080] In particular, the preset conditions include:

[0081] The first vector values ​​of the first feature and the second feature are obtained. If the first vector values ​​of the first feature and the second feature are smaller than the vector threshold, the first data is associated with the second data.

[0082] In particular, the professional course education system also includes:

[0083] The management end is used to set the data association process. The user of the management end can set the threshold of the first vector value according to the needs.

[0084] Specifically, the keywords of the first feature and the second feature can be semantically vectorized to obtain the first vector values ​​of the first feature and the second feature, and the correlation between the first feature and the second feature can be compared based on the first vector values ​​of the first feature and the second feature. If the first vector values ​​of the first feature and the second feature are less than the vector threshold, it means that the first data and the second data are correlated. The vector threshold can be a preset threshold, preferably in the range of 80-95%, and can also be set by the administrator of the data end.

[0085] In particular, the data association module further includes a second data association process:

[0086] Perform content recognition on each data in the first subject data storage unit, obtain corresponding features, identify the degree of association between different features, confirm related content based on the degree of association, and establish corresponding links.

[0087] Among them, since the data in the first subject data storage unit may be scattered and lack relevance between the data, the second data association process can be used to identify and associate the content of the data in the first subject data storage unit. The association process can perform multi-level data association based on historical time, historical figures and subject types to establish multiple data associations.

[0088] For example:

[0089] Perform content recognition on each data in the first subject data storage unit to obtain the third feature, the fourth feature, and the fifth feature. Taking the first subject data as historical data as an example, the third feature can specifically be a keyword, including one of the event content, historical time, and deeds of historical figures. The fourth feature can specifically be a keyword, including two of the event content, historical time, and deeds of historical figures. The fifth feature can specifically be a keyword, including event content, historical time, and deeds of historical figures.

[0090] The keywords are semantically vectorized, and the third feature, the fourth feature, and the fifth feature are converted into a third vector value, a fourth vector value, and a fifth vector value, respectively. The differences between the third vector values, the fourth vector values, and the fifth vector values ​​of each data in the first subject data storage unit are compared.

[0091] Based on whether the difference between the third vector values ​​meets the first preset difference value, if it meets the first preset difference value, the data meeting the first preset difference value is regarded as the first associated content, and a corresponding first link is established between the data;

[0092] Based on whether the difference between the fourth vector values ​​meets the second preset difference, if it meets the second preset difference, the data meeting the second preset difference is regarded as the second associated content, and a corresponding second link is established between the data;

[0093] Based on whether the difference between the fifth vector values ​​meets the third preset difference, if it meets the third preset difference, the data meeting the third preset difference is regarded as the third associated content, and a corresponding third link is established between the data;.

[0094] The first preset difference, the second preset difference, and the third preset difference may be preset or may be preset by the user. By comparing vector values ​​of different dimensions, data may be associated in different dimensions, so that students can understand and learn historical content, geography, culture, etc. according to their own understanding needs and in different dimensions.

[0095] The embodiment of the present invention can perform content identification and association on each data in the first subject data storage unit, thereby improving the association between each data in the first subject data storage unit.

[0096] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that after reading the specification of this application, the technicians can still modify or replace the specific implementation mode of the present invention with equivalents, but these modifications or changes do not deviate from the scope of protection of the pending claims of the present application.

Claims

1. A professional course education system, characterized in that: The professional course education system includes: A student terminal, wherein the student terminal is used to obtain student information; The data end is used to collect student information from the student end, identify the student information, and send professional course education data to the student end based on the student information; A data storage module, the data storage module includes a professional course education data storage unit and a first subject data storage unit, the professional course education data storage unit is used to store data content related to the professional course, and the first subject data storage unit is used to store first subject education data content; A data association module, the data association module is used to perform content identification on the data in the professional course education data storage unit and the first subject data storage unit respectively; based on the results of content identification, confirm the associated content stored in the first subject data storage unit; establish a link at the professional course education data storage unit, and the link is used to obtain the associated content stored in the first subject data storage unit.

2. A professional course education system according to claim 1, characterized in that: The professional course education system also includes: A new media module is used to index the associated content stored in the first subject data storage unit in the new media, obtain new media data that matches the associated content, and associate the new media data with the associated content.

3. A professional course education system according to claim 2, characterized in that: The association process includes: Get the link, name data, and cover image of new media data; Package the link, name data, and cover image into a file package and associate it with the related content.

4. A professional course education system according to claim 1, characterized in that: The first subject education data content includes: At least one of the first data information, the second data information, and the third data information.

5. A professional course education system according to claim 1, characterized in that: The professional course education system also includes: A data collection module is used to collect the first subject education data content in the network and store it in the first subject data storage unit.

6. A professional course education system according to claim 1, characterized in that: The data association module includes a first data association process: Perform content recognition on the data in the professional course education data storage unit and the first subject data storage unit, obtain corresponding features, identify the degree of correlation between the features in different storage units, confirm related content based on the degree of correlation, and establish corresponding links.

7. A professional course education system according to claim 6, characterized in that: The content recognition of the data in the professional course education data storage unit and the first subject data storage unit is performed to obtain corresponding features, and the correlation degree of the features in different storage units is identified, and the related content is confirmed based on the correlation degree, and the corresponding links are established, including: S101. Perform content recognition on the first data in the professional course education data storage unit to obtain a first feature; S102. Perform content recognition on the second data in the first subject data storage unit to obtain a second feature; S103. Determine the degree of association between the first feature and the second feature; S104. If the association degree satisfies the preset condition, it is determined that the first data is associated with the second data, and the second data is the first associated content of the first data; S105. Establish a link at the first data, wherein the link is used to obtain the first associated content stored in the first subject data storage unit.

8. A professional course education system according to claim 7, characterized in that: The preset conditions include: The first vector values ​​of the first feature and the second feature are obtained. If the first vector values ​​of the first feature and the second feature are smaller than the vector threshold, the first data is associated with the second data.

9. A professional course education system according to claim 8, characterized in that: The professional course education system also includes: The management end is used to set the data association process. The user of the management end can set the threshold of the first vector value according to the needs.

10. A professional course education system according to claim 6, characterized in that: The data association module further includes a second data association process: Perform content recognition on each data in the first subject data storage unit, obtain corresponding features, identify the degree of association between different features, confirm related content based on the degree of association, and establish corresponding links.

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