Course ideological and political spreading method and system based on short video platform

Abstract

The invention provides a course ideological and political spreading method and system based on a short video platform, and relates to the technical field of education spreading, and the method comprises the steps: carrying out the text conversion of target course content, and obtaining text data; classifying and preprocessing the text data, and extracting element features related to ideological and political education through a natural language processing technology; performing video production according to the element features and the target course content to obtain a target short video; encrypting and publishing the target short video; monitoring the published target short video to obtain the watching behavior and interaction data of the crowd watching the target short video; and optimizing the target course content according to the watching behavior and the interaction data. According to the invention, the spreading efficiency and effect of ideological and political education can be improved, interaction between teachers and students can be promoted, the attraction of courses can be enhanced, dynamic optimization of education contents can be promoted, the system adapts to modern learning modes, and the system has important education value and social significance.

Description

Technical Field

[0001] The present invention relates to the field of educational communication technology, and in particular to a course ideological and political communication method and system based on a short video platform. Background Art

[0002] In the existing technology, ideological and political education in colleges and universities mainly relies on traditional methods such as classrooms and books, or publishes ideological and political content in the form of text and pictures through social media, which does not fully utilize the intuitiveness and entertainment of short videos. And there is no comprehensive solution to protect short video content through encryption and decryption technology, or use big data analysis to optimize the effect of course dissemination. Specifically:

[0003] (1) Ideological and political education methods in traditional universities

[0004] At present, ideological and political education in colleges and universities is mainly carried out through classroom teaching, books, lectures, etc., emphasizing the imparting of theoretical knowledge and the guidance of ideological and political concepts. However, these methods are relatively simple and not very interactive, making it difficult to attract students' attention. In the context of the new era, students' interest in educational content has shifted to more entertaining and interactive content, which has affected the effectiveness of traditional ideological and political education.

[0005] (2) Application of short video platforms in education

[0006] In recent years, short video platforms have gradually penetrated into the field of education, and many teachers and educational institutions have begun to use short videos as a tool for educational communication. For example, some teachers will upload explanatory videos on platforms such as Douyin and Bilibili to help students understand the course content. However, such applications mostly focus on explaining knowledge points, and there are few successful cases of integrating ideological and political elements with professional course content. In addition, during the dissemination process of these short video contents, there is a lack of systematic content management mechanisms and data analysis feedback, making it difficult to dynamically adjust the content and effectively measure the effectiveness of ideological and political education.

[0007] (3) Application of encryption and decryption technology in content protection

[0008] In the process of short video content dissemination, copyright protection and information security issues have gradually become prominent. In order to prevent video content from being tampered with or stolen, encryption and decryption technology is often used in the existing technology. Common encryption algorithms include symmetric encryption (such as AES) and asymmetric encryption (such as RSA), which have been widely used in the field of information security. However, in the copyright protection of short video content, the application of encryption and decryption technology for video content is still relatively limited, and most of them remain in the protection of images and texts.

[0009] (4) Application of big data analysis in education

[0010] Big data analysis has been applied to a certain extent in the field of education, mainly for student behavior analysis, learning effect evaluation and optimization of teaching content. For example, by collecting and analyzing data on students' learning behavior, teachers can understand students' learning progress and difficulties, and thus adjust teaching plans. However, in the ideological and political education of short video platforms, the technical solution of using big data to analyze students' viewing behavior and interactive data to improve the effect of course dissemination has not yet been widely used. Common educational big data analysis applications are mainly used for data analysis in online classes and exams, and lack specific solutions for short video dissemination. Summary of the invention

[0011] In order to overcome the shortcomings of the prior art, the purpose of the present invention is to provide a course ideological and political communication method and system based on a short video platform, which can not only improve the communication efficiency and effectiveness of ideological and political education, but also promote interaction between teachers and students, enhance the attractiveness of courses, promote the dynamic optimization of educational content, adapt to modern learning methods, and have important educational value and social significance.

[0012] To achieve the above object, the present invention provides the following solutions:

[0013] A method for disseminating ideological and political education in courses based on a short video platform, including:

[0014] Perform text conversion on the target course content to obtain text data;

[0015] Classifying and preprocessing the text data, and extracting element features related to ideological and political education through natural language processing technology;

[0016] Produce a video according to the element characteristics and the target course content to obtain a target short video;

[0017] Encrypting and publishing the target short video;

[0018] Monitor the published target short videos to obtain viewing behavior and interaction data of people who watch the target short videos;

[0019] The target course content is optimized based on the viewing behavior and interaction data.

[0020] Preferably, the target course content includes course outlines, teaching materials, handouts and video lectures.

[0021] Preferably, the text data is classified and preprocessed, and element features related to ideological and political education are extracted through natural language processing technology, including:

[0022] Inputting the text data into a text context feature extraction layer to extract context feature information;

[0023] Inputting the text data into a global feature extraction layer to extract global feature information;

[0024] Fusing the contextual feature information and the global feature information to obtain a fused text feature;

[0025] Constructing a loss function using the fused text features;

[0026] Continuously optimizing the loss function to obtain a text classification model;

[0027] Using the text classification model to complete text classification and obtain classification data of various types;

[0028] Performing data cleaning on the classified data to obtain cleaned data;

[0029] The cleaned data is segmented and keyword extracted through natural language processing technology to identify target words related to ideological and political education, and the target words are used as the element features.

[0030] Preferably, the text data is input into a text context feature extraction layer to extract context feature information, including:

[0031] Use the pre-trained language model to extract the initial feature information of the text data;

[0032] Inputting the initial feature information into a forward gated recurrent unit and a reverse gated recurrent unit;

[0033] The outputs of the forward gated recurrent unit and the reverse gated recurrent unit are concatenated to obtain contextual feature information; the concatenation formula is: Among them, H t ={H1,H2,…H l} represents the initial feature information input at time t, represents the output of the positive gated recurrent unit at time t, Represents the output of the reverse gated recurrent unit at time t, GRU represents the gated recurrent unit, and G represents the contextual relationship feature information.

[0034] Preferably, the text data is input into a global feature extraction layer to extract global feature information, including:

[0035] The initial feature information of the text data is input into the convolution layer and the pooling layer in sequence to obtain the global feature information; the global feature information extraction formula is:

[0036] c i =f(ω·H+b)

[0037]

[0038] In the formula, f is the activation function, ω is the convolution kernel, h is the convolution kernel size, b is the bias value, c is i is the feature vector extracted by the i-th convolutional layer, It represents the value of the features extracted by three different convolution kernels after the maximum pooling layer, and C represents the extracted global feature information.

[0039] Preferably, the contextual feature information and the global feature information are fused to obtain a fused text feature, including:

[0040] The contextual feature information and the global feature information are concatenated to obtain a first fused text feature; wherein the first fused text feature is:

[0041] Performing maximum pooling processing on the first fused text feature to obtain a second fused text feature;

[0042] The first fused text feature is subjected to mean pooling processing to obtain a third fused text feature.

[0043] Preferably, the data cleaning step includes: data deduplication, abnormal data checking, data standardization checking, data completion and data coding.

[0044] Preferably, encrypting the target short video includes:

[0045] The target short video is encrypted using an AES symmetric encryption algorithm; the target short video is encrypted and stored in a server;

[0046] An encryption key is generated and distributed through an asymmetric encryption algorithm; before the target short video is released to the short video platform, the server decrypts it using the decryption key and marks the target short video using digital watermarking technology to track any unauthorized copying or dissemination.

[0047] A course ideological and political dissemination system based on a short video platform, including:

[0048] A text conversion unit is used to perform text conversion on the target course content to obtain text data;

[0049] A text processing unit, used to classify and preprocess the text data, and extract element features related to ideological and political education through natural language processing technology;

[0050] A video production unit, used for producing a video according to the element characteristics and the target course content to obtain a target short video;

[0051] An encryption and publishing unit, used for encrypting and publishing the target short video;

[0052] A monitoring unit, used to monitor the published target short video to obtain viewing behavior and interaction data of people who watch the target short video;

[0053] An optimization unit is used to optimize the target course content according to the viewing behavior and interaction data.

[0054] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0055] The present invention provides a method and system for disseminating ideological and political education in a course based on a short video platform, the method comprising: converting the target course content into text to obtain text data; classifying and preprocessing the text data, and extracting element features related to ideological and political education through natural language processing technology; producing a video according to the element features and the target course content to obtain a target short video; encrypting and publishing the target short video; monitoring the published target short video to obtain the viewing behavior and interaction data of the people who watch the target short video; optimizing the target course content according to the viewing behavior and interaction data. The present invention can improve the dissemination efficiency and effect of ideological and political education, promote interaction between teachers and students, enhance the attractiveness of courses, promote the dynamic optimization of educational content, adapt to modern learning methods, and has important educational value and social significance. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the embodiments of the present invention 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 invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0057] Figure 1 A flow chart of a method provided by an embodiment of the present invention;

[0058] Figure 2 A schematic diagram of the system structure provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0059] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0060] The purpose of the present invention is to provide a course ideological and political communication method and system based on a short video platform, which can improve the communication efficiency and effect of ideological and political education.

[0061] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0062] Figure 1 A flow chart of a method provided by an embodiment of the present invention, such as Figure 1 As shown, the present invention provides a course ideological and political dissemination method based on a short video platform, comprising:

[0063] Step 100: convert the target course content into text to obtain text data;

[0064] Step 200: Classify and preprocess the text data, and extract element features related to ideological and political education through natural language processing technology;

[0065] Step 300: Produce a video according to the element features and the target course content to obtain a target short video;

[0066] Step 400: Encrypt and publish the target short video;

[0067] Step 500: monitoring the published target short video to obtain viewing behavior and interaction data of people who watch the target short video;

[0068] Step 600: Optimize the target course content based on the viewing behavior and interaction data.

[0069] Preferably, the target course content includes course outlines, teaching materials, handouts and video lectures.

[0070] Preferably, the text data is classified and preprocessed, and element features related to ideological and political education are extracted through natural language processing technology, including:

[0071] Inputting the text data into a text context feature extraction layer to extract context feature information;

[0072] Inputting the text data into a global feature extraction layer to extract global feature information;

[0073] Fusing the contextual feature information and the global feature information to obtain a fused text feature;

[0074] Constructing a loss function using the fused text features;

[0075] Continuously optimizing the loss function to obtain a text classification model;

[0076] Using the text classification model to complete text classification and obtain classification data of various types;

[0077] Performing data cleaning on the classified data to obtain cleaned data;

[0078] The cleaned data is segmented and keyword extracted through natural language processing technology to identify target words related to ideological and political education, and the target words are used as the element features.

[0079] Specifically, this embodiment first analyzes the course content and extracts elements related to ideological and political education. Teachers use special text and video analysis tools, combined with the course outline, to extract ideological and political content related to professional ethics, innovation awareness, teamwork, etc. This module can automatically scan the teaching content through NLP (natural language processing) technology, mark potential ideological and political elements, and combine them with professional course knowledge points.

[0080] Preferably, the text data is input into a text context feature extraction layer to extract context feature information, including:

[0081] Use the pre-trained language model to extract the initial feature information of the text data;

[0082] Inputting the initial feature information into a forward gated recurrent unit and a reverse gated recurrent unit;

[0083] The outputs of the forward gated recurrent unit and the reverse gated recurrent unit are concatenated to obtain contextual feature information; the concatenation formula is: Among them, H t ={H1,H2,…H l} represents the initial feature information input at time t, represents the output of the positive gated recurrent unit at time t, Represents the output of the reverse gated recurrent unit at time t, GRU represents the gated recurrent unit, and G represents the contextual relationship feature information.

[0084] Specifically, this embodiment can more fully understand the context relationship of the text and obtain the context information by splicing the outputs of the forward gated recurrent unit and the reverse gated recurrent unit.

[0085] Preferably, the text data is input into a global feature extraction layer to extract global feature information, including:

[0086] The initial feature information of the text data is input into the convolution layer and the pooling layer in sequence to obtain the global feature information; the global feature information extraction formula is:

[0087] c i =f(ω·H+b)

[0088]

[0089] In the formula, f is the activation function, ω is the convolution kernel, h is the convolution kernel size, b is the bias value, c is i is the feature vector extracted by the i-th convolutional layer, It represents the value of the features extracted by three different convolution kernels after the maximum pooling layer, and C represents the extracted global feature information.

[0090] Preferably, the contextual feature information and the global feature information are fused to obtain a fused text feature, including:

[0091] The contextual feature information and the global feature information are concatenated to obtain a first fused text feature; wherein the first fused text feature is:

[0092] Performing maximum pooling processing on the first fused text feature to obtain a second fused text feature;

[0093] The first fused text feature is subjected to mean pooling processing to obtain a third fused text feature.

[0094] Specifically, this embodiment can accurately identify elements related to ideological and political education by systematically processing and extracting features of text data, thereby improving the pertinence and dissemination effect of educational content.

[0095] Preferably, the data cleaning step includes: data deduplication, abnormal data checking, data standardization checking, data completion and data coding.

[0096] Specifically, this embodiment integrates the selected ideological and political elements with the course content to produce a short video. This embodiment provides teachers with video editing tools that support video recording, dubbing, subtitle addition, and special effects processing. This module includes video editing, synthesis tools, and a variety of ideological and political video templates. Teachers can quickly select appropriate templates based on the course content and generate short videos with rich content.

[0097] Preferably, encrypting the target short video includes:

[0098] The target short video is encrypted using an AES symmetric encryption algorithm; the target short video is encrypted and stored in a server;

[0099] An encryption key is generated and distributed through an asymmetric encryption algorithm; before the target short video is released to the short video platform, the server decrypts it using the decryption key and marks the target short video using digital watermarking technology to track any unauthorized copying or dissemination.

[0100] Specifically, this embodiment encrypts the short video to ensure that the content is not tampered with or stolen. The generated video file is encrypted using the AES symmetric encryption algorithm, and the encrypted video file is stored on the server. The encryption key is generated and distributed using an asymmetric encryption algorithm (such as RSA). Before the video is published to the short video platform, the server will decrypt the file and mark the video using digital watermarking technology to track any unauthorized copying or dissemination.

[0101] Furthermore, the encryption process of this embodiment is as follows:

[0102] (1) After the video is generated, the system will call the encryption module.

[0103] (2) Use the AES algorithm to encrypt the video and generate a ciphertext file.

[0104] (3) The system encrypts the key using RSA to ensure security during transmission.

[0105] (4) When released, the short video platform will use the decryption key to play the video, but the audience cannot directly access the original video file.

[0106] Specifically, this embodiment publishes the encrypted short video to the mainstream short video platform and monitors the dissemination effect. Through the API interface of the short video platform, the encrypted short video is published to platforms such as Douyin and Kuaishou. Teachers can set video tags and recommendation strategies to ensure that the video can reach the target audience. The system has a built-in data collector to track the number of video views, likes, comments, reposts and other data, and synchronize these data to the big data analysis module in real time. This embodiment uses the API interface module to communicate with the short video platform, upload videos, tags and descriptions; and uses the data collection module to monitor viewing, regularly capture interactive data on the platform, and store it on the local server.

[0107] Furthermore, this embodiment collects and analyzes students' viewing behavior and interaction data to optimize course content and dissemination strategies. Video viewing data is processed using big data analysis tools (such as Hadoop, Spark, etc.). The system helps teachers understand students' acceptance and interest in ideological and political content by analyzing students' viewing time, likes, comments, sharing and other data, and optimizes subsequent video content based on feedback. Teachers can access the analysis report provided by the system to understand students' interest preferences and video dissemination effects, and dynamically adjust course content and video publishing strategies based on this.

[0108] Furthermore, the analysis process of this embodiment is as follows:

[0109] (1) Data collection: Obtain viewing data in real time and store it in the database.

[0110] (2) Data processing: Use big data tools to clean, filter and analyze data.

[0111] (3) Report generation: Generate a statistical analysis report on the video communication effect.

[0112] Specifically, this embodiment allows students to interact with teachers through the short video platform and adjust the video content based on interactive feedback. In the short video platform, an interactive function is set up to allow students to post comments, ask questions and participate in discussions. The system will regularly collect students' interactive data (comments, likes, questions, etc.), and combine these data with big data analysis results to generate actionable feedback for teachers. In addition, the system supports teachers to respond to students' questions in real time below the video to form a positive interaction.

[0113] Furthermore, the interaction process of this embodiment is as follows:

[0114] (1) Students comment or ask questions through the platform.

[0115] (2) The system collects all interaction information and stores it in the database.

[0116] (3) The analysis module processes the interaction data and generates detailed feedback reports for teachers.

[0117] Corresponding to the above method, this embodiment also provides a course ideological and political dissemination system based on a short video platform, such as Figure 2 As shown, including:

[0118] A text conversion unit is used to perform text conversion on the target course content to obtain text data;

[0119] A text processing unit, used to classify and preprocess the text data, and extract element features related to ideological and political education through natural language processing technology;

[0120] A video production unit, used for producing a video according to the element characteristics and the target course content to obtain a target short video;

[0121] An encryption and publishing unit, used for encrypting and publishing the target short video;

[0122] A monitoring unit, used to monitor the published target short video to obtain viewing behavior and interaction data of people who watch the target short video;

[0123] An optimization unit is used to optimize the target course content according to the viewing behavior and interaction data.

[0124] The beneficial effects of the present invention are as follows:

[0125] (1) Compared with the traditional method that relies on manual screening, the technology of automatic analysis and integration of ideological and political content in the present invention greatly improves work efficiency and reduces manual errors. In the prior art, ideological and political education in colleges and universities mainly relies on traditional classrooms or a small amount of short video content, and has not formed a systematic organic combination of ideological and political elements and professional courses. The present invention uses natural language processing (NLP) technology to automatically extract elements related to ideological and political education and seamlessly integrate them with professional content such as computer courses. This automated and intelligent integration method significantly improves the depth and accuracy of the mining of ideological and political education content, making the communication of ideological and political elements more efficient and accurate.

[0126] (2) Existing short video platforms usually do not have a complete encryption mechanism. The present invention provides security for teachers' original content through encryption technology, solves the problem of insufficient security of video content, and meets the needs of modern digital copyright protection. Existing short video education platforms lack effective encryption protection for video content, which easily leads to content tampering or theft. The present invention uses a combination of AES symmetric encryption and RSA asymmetric encryption to encrypt video content, and combines digital watermarking technology to protect the copyright of video content. This ensures that teachers' original content and students' privacy data will not be used or tampered with without authorization during the dissemination of short videos.

[0127] (3) Compared with the one-way transmission mode of traditional ideological and political education, the present invention dynamically adjusts the teaching content through a data-driven feedback mechanism, thereby improving the personalization and pertinence of the educational effect. Traditional ideological and political education lacks a dynamic feedback mechanism, and it is difficult for teachers to obtain real-time feedback from students on the course content, and it is impossible to adjust the teaching content in a timely manner. The present invention uses big data analysis tools (such as Hadoop and Spark) to collect and analyze students' behavior data (such as viewing time, likes, comments, etc.) of watching short videos in real time, generate detailed learning feedback reports, and help teachers optimize subsequent content based on students' learning habits and feedback.

[0128] (4) The present invention breaks through the passive viewing mode of existing short video education and adopts a two-way interactive mechanism, so that ideological and political education is no longer a one-way transmission, but realizes real-time communication between teachers and students, and improves the sense of participation and interactivity of ideological and political education. Most of the existing ideological and political short video content lacks interactivity, and teachers cannot respond in time to students' questions or opinions. The interaction and feedback module of the present invention allows students to interact directly with teachers on the short video platform. Teachers can adjust subsequent video content according to students' comments and questions to form a positive interaction. This interactive mode not only deepens students' understanding of ideological and political content, but also enhances students' enthusiasm for participating in class.

[0129] (5) Unlike the prior art that relies on manual release and promotion of short videos, the present invention significantly improves the dissemination range and efficiency of short videos and optimizes the allocation of educational resources through automated release and precise delivery strategies. The present invention publishes encrypted short video content to a wide range of short video platforms through the API interface of the short video platform, and optimizes the dissemination strategy in real time based on viewing data. Compared with the existing situation where ideological and political education content is difficult to spread widely, the present invention uses data-driven precise delivery to enable course content to reach more target audiences and expand the influence of ideological and political education.

[0130] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0131] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, 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 the present invention.

Claims

1. A method for disseminating ideological and political education in courses based on a short video platform, characterized in that: include: Perform text conversion on the target course content to obtain text data; Classifying and preprocessing the text data, and extracting element features related to ideological and political education through natural language processing technology; Produce a video according to the element characteristics and the target course content to obtain a target short video; Encrypting and publishing the target short video; Monitor the published target short videos to obtain viewing behavior and interaction data of people who watch the target short videos; The target course content is optimized based on the viewing behavior and interaction data.

2. The method for disseminating ideological and political education in courses based on a short video platform according to claim 1 is characterized in that: The target course content includes course outlines, textbooks, handouts, and video lectures.

3. The method for disseminating ideological and political education in courses based on a short video platform according to claim 1 is characterized in that: The text data is classified and preprocessed, and element features related to ideological and political education are extracted through natural language processing technology, including: Inputting the text data into a text context feature extraction layer to extract context feature information; Inputting the text data into a global feature extraction layer to extract global feature information; Fusing the contextual feature information and the global feature information to obtain a fused text feature; Constructing a loss function using the fused text features; Continuously optimizing the loss function to obtain a text classification model; Using the text classification model to complete text classification and obtain classification data of various types; Performing data cleaning on the classified data to obtain cleaned data; The cleaned data is segmented and keyword extracted through natural language processing technology to identify target words related to ideological and political education, and the target words are used as the element features.

4. The method for disseminating ideological and political education in courses based on a short video platform according to claim 3 is characterized in that: Inputting the text data into a text context feature extraction layer to extract context feature information includes: Use the pre-trained language model to extract the initial feature information of the text data; Inputting the initial feature information into a forward gated recurrent unit and a reverse gated recurrent unit; The outputs of the forward gated recurrent unit and the reverse gated recurrent unit are concatenated to obtain contextual feature information; the concatenation formula is: Among them, H t ={H1,H2,…H l } represents the initial feature information input at time t, represents the output of the positive gated recurrent unit at time t, Represents the output of the reverse gated recurrent unit at time t, GRU represents the gated recurrent unit, and G represents the contextual relationship feature information.

5. The method for disseminating ideological and political education in courses based on a short video platform according to claim 4 is characterized in that: Inputting the text data into the global feature extraction layer to extract global feature information includes: The initial feature information of the text data is input into the convolution layer and the pooling layer in sequence to obtain the global feature information; the global feature information extraction formula is: c i =f(ω·H+b) In the formula, f is the activation function, ω is the convolution kernel, h is the convolution kernel size, b is the bias value, c is i is the feature vector extracted by the i-th convolutional layer, It represents the value of the features extracted by three different convolution kernels after the maximum pooling layer, and C represents the extracted global feature information.

6. The method for disseminating ideological and political education in courses based on a short video platform according to claim 5 is characterized in that: The context feature information and the global feature information are fused to obtain fused text features, including: The contextual feature information and the global feature information are concatenated to obtain a first fused text feature; wherein the first fused text feature is: Performing maximum pooling processing on the first fused text feature to obtain a second fused text feature; The first fused text feature is subjected to mean pooling processing to obtain a third fused text feature.

7. The method for disseminating ideological and political education in courses based on a short video platform according to claim 3 is characterized in that: The steps of data cleaning include: data deduplication, abnormal data checking, data standardization checking, data completion and data coding.

8. The method for disseminating ideological and political education in courses based on a short video platform according to claim 3 is characterized in that: Encrypting the target short video includes: The target short video is encrypted using an AES symmetric encryption algorithm; the target short video is encrypted and stored in a server; An encryption key is generated and distributed through an asymmetric encryption algorithm; before the target short video is released to the short video platform, the server decrypts it using the decryption key and marks the target short video using digital watermarking technology to track any unauthorized copying or dissemination.

9. A course ideological and political dissemination system based on a short video platform, characterized in that: include: A text conversion unit is used to perform text conversion on the target course content to obtain text data; A text processing unit, used to classify and preprocess the text data, and extract element features related to ideological and political education through natural language processing technology; A video production unit, used for producing a video according to the element characteristics and the target course content to obtain a target short video; An encryption and publishing unit, used for encrypting and publishing the target short video; A monitoring unit, used to monitor the published target short video to obtain viewing behavior and interaction data of people who watch the target short video; An optimization unit is used to optimize the target course content according to the viewing behavior and interaction data.

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