Ideological and political education interaction system based on social media

Abstract

The invention relates to the technical field of ideological and political education, in particular to an ideological and political education interaction system based on social media, which comprises a social media monitoring module, a content analysis and classification module, an interaction mode optimization module and an education content updating module. According to the method, the participation enthusiasm and the core concern of the student are accurately captured by monitoring the online learning community and analyzing the social media data in real time, and the emotional tendency and the related discussion of the student are effectively collected by deeply analyzing the post content, so that the accurate classification of the content and the identification of mainstream and edge viewpoints are realized; the online education platform can adjust an interaction mode and increase simulation discussion according to actual responses of students, teaching is more attractive and targeted, the learning motivation and participation degree of the students are improved by dynamically updating education content and synchronizing social hotspots, the personalized and dynamic teaching process is achieved, and the teaching experience is improved. Therefore, the attraction and interactivity of education are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of ideological and political education, and in particular to an ideological and political education interactive system based on social media. Background Art

[0002] The ideological and political education interactive system based on social media refers to a technical system that uses social media platforms to conduct ideological and political education. It aims to enhance educational interaction and student participation through social networks, allowing teachers and students to communicate and learn in a virtual interactive environment. Its main purpose is to use the wide coverage and high participation of social media to disseminate educational content, enhance students' learning motivation and sense of participation, and provide real-time feedback on students' learning progress and understanding.

[0003] The traditional model often leads to educational activities not meeting student needs due to fixed teaching content and limited student feedback. It is difficult to attract students in the rapidly changing modern society, especially on online education platforms, where students expect higher interactivity and personalized content. The education model that lacks real-time feedback and content update mechanisms cannot effectively capture students' interests, which in turn affects students' learning motivation and participation, ultimately leading to unsatisfactory learning results. Therefore, the shortcomings of traditional ideological and political education are particularly evident on online education platforms and need to be addressed urgently. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an ideological and political education interactive system based on social media.

[0005] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: an ideological and political education interactive system based on social media comprises: The social media monitoring module monitors the real-time data of online learning communities and forums, captures students’ posts and interactions on social media platforms, collects posts related to ideological and political education, analyzes topic popularity based on student participation, and obtains core content tags; The content analysis and classification module performs text analysis on the post content based on the core content tags, collects students' emotional tendencies and relevant discussions on ideological and political education from the text, and classifies the post content into those that promote understanding and those that need to be adjusted. Based on the classification results, similar posts are aggregated through cluster analysis to identify mainstream and marginal views, analyze students' attitudes and emotional distribution, and form emotional and attitude analysis results; The interactive mode optimization module adjusts the details of the interactive mode by modifying the question-answer mode and adding simulated discussion scenarios according to the emotion and attitude analysis results. It analyzes the impact of different interactive modes on student behavior according to the interactive mode adjustment results, changes the way educational content is delivered, and generates an optimized interactive strategy. The educational content update module utilizes the optimized interactive strategy to synchronize social hot spots and student interests, adjust the cases and examples in the ideological and political teaching content, regularly publish ideological and political education content update notifications based on the results of the teaching content adjustment, adjust the content presentation method to match student needs, and formulate a dynamically optimized ideological and political education plan.

[0006] As a further solution of the present invention, the step of obtaining the core content label is: Monitor social media platforms, regularly capture student posts and interaction data, count likes, comments, and sharing information, reveal student behavior patterns, and timestamp the data to obtain a preliminary collection data set; According to the preliminary collected data set, by identifying keywords and topics, posts about ideological and political education and student interaction information are screened to obtain a related data set; To process the associated data set, the formula is used: ; Calculate topic popularity , generate core content tags, where Indicates the number of interactions. Indicates the number of comments. is the total number of posts.

[0007] As a further solution of the present invention, the steps of classifying the post content are: Indexing the posts through the core content tags, extracting paragraphs containing sentiment tendencies and ideological and political education discourses from the post texts according to a set keyword set, and generating preliminary text paragraph extraction results; Analyze the preliminary text paragraph extraction results, identify specific words and contexts that express emotions and ideological and political education content, determine the relevance of words and contexts, and generate specific analysis results of emotions and ideological and political content; According to the specific analysis results of the emotions and ideological and political content, the posts are classified, and classified based on content orientation and constructiveness to determine whether the posts are the type that promotes understanding or the type that requires adjustment of understanding, and generate post classification results.

[0008] As a further solution of the present invention, the steps of obtaining the emotion and attitude analysis results are: According to the post classification results, the posts are grouped according to the similarity of the contents, posts with similar topics and arguments are clustered, and similar post clustering results are generated; Analyzing the similar post aggregation results, distinguishing posts expressing mainstream opinions from marginal opinions by statistically analyzing the number and influence of posts in each group, and generating mainstream and marginal opinion identification results; Based on the mainstream and marginal viewpoint identification results, by evaluating the frequency of use of emotional words and the emotional color of the context, the distribution of students' emotions and attitudes in the posts is analyzed to form the emotion and attitude analysis results.

[0009] As a further solution of the present invention, the steps of adjusting the interaction mode details are: Based on the emotion and attitude analysis results, extract key data points, analyze students' participation and satisfaction, and generate a key data point analysis report; Based on the key data point analysis report, create new question-answering models and simulated discussion scenarios to stimulate student participation and develop interactive questions and task design plans; The interactive questions and task design scheme is applied, feedback is collected through student participation in the test, and detailed adjustments are made based on the feedback to obtain an optimized interactive model.

[0010] As a further solution of the present invention, the step of obtaining the optimized interaction strategy is: Analyze the student feedback data obtained from the optimized interaction model, pay attention to the changes in student behavior, and use the formula: ; Calculating the impact of student behavior , generates a student behavior impact report, which includes Represents the adjusted students in the Number of speeches on a topic, Represents the students before adjustment in the Number of speeches on a topic, is the number of topics; Based on the student behavior impact report, identify the educational content delivery methods that need to be improved, restructure teaching materials to match students' interaction preferences, and develop educational content update plans; Implement the educational content update plan, adjust and improve the interactive teaching process by tracking and evaluating students' acceptance and teaching effectiveness of the new educational content, and generate optimized interactive strategies.

[0011] As a further solution of the present invention, the steps for adjusting the ideological and political teaching content are: Apply the optimized interactive strategy, integrate the latest social hot spot data and student interest survey results, and generate comprehensive analysis results of social hot spots and student interests; According to the comprehensive analysis results of the social hot spots and students' interests, identify the cases and examples that can be adjusted in the current ideological and political teaching content, determine the teaching content that is most relevant to students' interests and social hot spots through comparative analysis, and generate a list of teaching cases to be adjusted; Based on the list of teaching cases to be adjusted, redesign and adjust the cases and examples, verify their matching with social hot spots and students' interests, and generate adjusted ideological and political teaching content.

[0012] As a further solution of the present invention, the steps for obtaining the dynamically optimized ideological and political education program are as follows: According to the adjusted ideological and political teaching content, prepare an ideological and political education content update notice, reveal the changes in teaching content, and generate the latest education content update notice draft; Analyze students' reception and feedback on existing teaching content, adjust the content presentation method based on the feedback, match students' learning habits and needs, and obtain an adjusted content presentation plan; In combination with the latest draft notification on education content update and the adjusted content presentation plan, continuous matching of teaching content with student needs is carried out to generate a dynamically optimized ideological and political education plan.

[0013] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by real-time monitoring of online learning communities and analysis of social media data, students' enthusiasm for participation and core concerns can be accurately captured, and by in-depth analysis of post content, students' emotional tendencies and related discussions can be effectively collected, thereby achieving accurate classification of content and identification of mainstream and marginal viewpoints, so that the online education platform can adjust the interaction mode according to students' actual reactions, increase simulated discussions, make teaching more attractive and targeted, and improve students' learning motivation and participation by dynamically updating educational content and synchronizing social hotspots, realizing a personalized and dynamic teaching process, thereby effectively improving the attractiveness and interactivity of education. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 is a system flow chart of the present invention; Figure 2 This is a flowchart for obtaining the core content label of the present invention; Figure 3 A flow chart for classifying the content of posts of the present invention; Figure 4 This is a flow chart for obtaining the emotion and attitude analysis results of the present invention; Figure 5 A flowchart for adjusting the details of the interactive mode of the present invention; Figure 6 A flowchart for obtaining the optimized interactive strategy of the present invention; Figure 7 It is a flow chart for adjusting the ideological and political teaching content of the present invention; Figure 8 The present invention is a flowchart for obtaining the ideological and political education program dynamically optimized by the present invention. DETAILED DESCRIPTION

[0015] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0016] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0017] See also Figure 1 , an ideological and political education interactive system based on social media includes: The social media monitoring module monitors the real-time data of online learning communities and forums, captures students’ posts and interactions on social media platforms, collects posts related to ideological and political education, analyzes topic popularity based on student participation, and obtains core content tags; The content analysis and classification module analyzes the content of posts based on core content tags, collects students' emotional tendencies and relevant discussions on ideological and political education from the text, and classifies the content of posts into those that promote understanding and those that need to be adjusted. Based on the classification results, similar posts are aggregated through cluster analysis to identify mainstream and marginal views, analyze students' attitudes and emotional distribution, and form emotional and attitude analysis results; The interactive mode optimization module adjusts the details of the interactive mode by modifying the question-answer mode and adding simulated discussion scenarios based on the results of emotion and attitude analysis. It analyzes the impact of different interactive modes on student behavior based on the results of interactive mode adjustment, changes the way educational content is delivered, and generates optimized interactive strategies. The education content update module uses optimized interactive strategies to synchronize social hot spots and student interests, adjust the cases and examples in the ideological and political teaching content, regularly publish ideological and political education content update notifications based on the results of the teaching content adjustments, adjust the content presentation method to match student needs, and formulate dynamically optimized ideological and political education plans.

[0018] Core content tags include topic popularity, student participation and core post content; emotion and attitude analysis results include emotion distribution analysis results, attitude analysis results and student emotional tendency analysis records; interaction mode adjustment results include interaction effects, student behavior impact analysis results and records of changes in the way education content is delivered; ideological and political education content update notifications include case adjustment records, instance update results and content presentation adjustment results.

[0019] See also Figure 2 , the steps to obtain the core content tags are: Monitor social media platforms, regularly capture student posts and interaction data, count likes, comments, and sharing information, reveal student behavior patterns, and timestamp the data to obtain a preliminary collection data set; By recording students' various interactive behavior data in real time on social media platforms, including likes, comments, and shares, etc. First, configure the data access permissions of the social media platform to ensure data security and student privacy protection. Then, through data crawling, capture students' activity data in real time and transmit the data to the data processing center immediately. In the data processing center, the data is first recorded in a temporary storage area, and then classified and sorted according to the data type, such as storing likes, comments, and sharing data separately to facilitate the rapid extraction of specific types of data in subsequent analysis. Throughout the process, ensure the integrity and update speed of the data to reflect the most realistic student behavior patterns. At the same time, all collected data are timestamped to record the exact time when the data is captured, which is crucial for analyzing the temporal patterns of student behavior.

[0020] Based on the preliminary collected data set, we identified keywords and topics, screened posts about ideological and political education and student interaction information, and obtained a related data set; After completing the initial data collection, the next step is to accurately extract posts and student interactions related to ideological and political education from the dataset. The first step involves defining keywords and topics related to ideological and political education. After defining the keywords, the text content of all posts and comments is scanned by setting filters to identify data entries containing keywords. For each post or comment identified as relevant, it is separated from the main data stream and classified into a data subset of the "ideological and political education related" category. This process is achieved through simple keyword matching and data tagging to ensure the transparency and traceability of the processing process. At the same time, the source and time information of each piece of data is recorded so that the specific post and interaction time point can be traced back in subsequent analysis.

[0021] To process the associated data set, use the formula: ; Calculate topic popularity , generate core content tags, where Indicates the number of interactions. Indicates the number of comments. is the total number of posts; There is a sample dataset that contains the following information: Total posts ; Interactions for all posts The total is 1500; Number of comments on all posts The total is 500; Calculate the sum of interactions and comments on a post: ; Next, use the formula to calculate the topic heat : ; Calculated topic popularity The value indicates that, in the given dataset, the average combined interaction and comment activity per post is 632.46, taking into account the scale adjustment of the number of posts (reducing the direct effect of the number of posts by using the square root). It is helpful to understand how a specific topic performs on social media and whether it gets more student interaction relative to other topics. It can also be used to track the performance of the same topic in different time periods to see if there is an increasing or decreasing trend in student attention and interaction.

[0022] See also Figure 3 , the classification steps of post content are: Posts are indexed by core content tags, and paragraphs containing sentiment and ideological and political education are extracted from the post texts according to the set keyword set, generating preliminary text paragraph extraction results. Posts are indexed by core content tags, and the posts are classified and segmented to facilitate subsequent keyword extraction. Each post is first quickly labeled according to its topic to reflect the main content direction of the post. Next, keywords related to emotions and ideological and political education will be extracted. The process involves scanning the text content of each post and matching words with specific emotional colors or ideological and political education meanings. Keywords are selected from an extensive vocabulary database that contains a wide range of emotional vocabulary and terms related to ideological and political education. In addition, to ensure the accuracy of keyword extraction, weights are assigned based on the frequency of vocabulary and contextual importance to ensure that highly relevant vocabulary is given priority, so that paragraphs containing target keywords can be accurately extracted from a large amount of post text, laying the foundation for the next step of in-depth analysis.

[0023] Analyze the preliminary text paragraph extraction results, identify the specific words and contexts that express emotions and ideological and political education content, determine the relevance of words and contexts, and generate specific analysis results of emotions and ideological and political content; When analyzing the results of the preliminary text paragraph extraction, each extracted text paragraph is dug deep to analyze the emotions and ideological and political content contained in it. First, a contextual analysis of the vocabulary is performed, which includes identifying the words around each keyword to determine its actual role in the sentence, such as certain emotional words expressing different emotional intensities due to different contexts. At the same time, the specific emotional color of the vocabulary, such as positive or negative, and the impact on the ideological and political education discussion are identified. For accuracy, sentence structure and grammatical features, such as passive voice or emphasized structures, are checked, which may affect the way information is delivered. Through detailed text analysis, multiple levels of language can be comprehensively considered to generate emotional and ideological and political content analysis results with high relevance and accuracy.

[0024] According to the specific analysis results of emotions and ideological and political content, the posts are classified, and classified based on content orientation and constructiveness, to determine whether the posts are those that promote understanding or those that need to be adjusted, and generate post classification results; In the post classification stage, decision support will be provided based on the results of the first two steps of analysis. Each post is classified as promoting understanding or requiring adjustment of understanding based on the emotional tendency and ideological and political content it displays. The classification process involves a comprehensive assessment of the language expression and emotional color of the post. For example, if a post mainly expresses positive emotions, it may be classified as promoting understanding; on the contrary, if a lot of doubts or criticisms are expressed and further discussion or elaboration is needed, it may be classified as requiring adjustment of understanding. This process does not rely on specific technical tools or modules, but is achieved by evaluating the constructiveness and orientation of the post content and how it matches the preset goals.

[0025] See also Figure 4 , the steps to obtain the results of emotion and attitude analysis are: Based on the post classification results, the posts are grouped according to the similarity of the content, and posts with similar topics and arguments are clustered to generate similar post clustering results; The results of post classification are used to initiate a detailed analysis of the content, which mainly relies on the comparison of keywords in the posts and contextual analysis. First, the core words and expressions in each post are identified, and these words are matched with the annotated subject word library. The frequency of occurrence of the core words in each post is counted to establish a word frequency matrix. Next, the word frequency matrix is ​​processed to determine the degree of association between them by comparing the word co-occurrence relationship between posts one by one. This degree of association is determined by looking at the contextual position and frequency of the words in the posts. Words with similar contexts between different posts are considered as connection points. Finally, based on the connection points, posts with similar themes and arguments are aggregated to form post groups.

[0026] Analyze the clustering results of similar posts, distinguish posts expressing mainstream opinions from those expressing marginal opinions by statistically analyzing the number and influence of posts in each group, and generate mainstream and marginal opinion identification results; After the posts are aggregated, the expression tendency of the posts in each group is further refined and analyzed. First, the number of posts in each group is counted, and the depth and breadth of the content of each post are manually evaluated to estimate the influence of each group. By reading and analyzing the specific content of each post, posts with strong expressions and clear opinions are identified and marked as mainstream or marginal opinions. In addition, the interactive data of the posts, such as the number of comments and reposts, are recorded as a measure of influence. Through detailed manual analysis, it is possible to accurately distinguish between mainstream and marginal opinions and file them into different categories, ensuring a true and comprehensive grasp of community attitudes.

[0027] Based on the results of mainstream and marginal viewpoint identification, the distribution of students’ emotions and attitudes in posts was analyzed by evaluating the frequency of use of emotional words and the emotional color of the context, forming the results of emotion and attitude analysis; After the identification of mainstream and marginal opinions, the next step is to analyze the student emotions and attitudes behind these opinions. By reading each post in detail, identifying key words and sentence structures that express emotions, manually recording the emotional color of each word and sentence, and classifying them. For example, the use of words such as "happy", "angry" or "disappointed" is recorded and evaluated for frequency and context. In addition, the tone and style of the posts, such as sarcasm, praise or criticism, are analyzed to further understand the emotional tendencies of students. Through the detailed reading and recording process, an in-depth understanding and analysis of the emotional attitudes of the post group is formed, which is finally summarized into detailed emotion and attitude analysis results.

[0028] See also Figure 5 , the steps to adjust the interaction mode details are: Based on the results of emotion and attitude analysis, extract key data points, analyze students' participation and satisfaction, and generate key data point analysis reports; Based on the results of the emotion and attitude analysis, all feedback left by students in the Q&A interaction is collected, including direct ratings, comments, and indirect participation frequency and duration. The data is sorted by accessing the database to ensure that each data point can accurately reflect the student's behavior pattern and reaction. The collected data is quantitatively analyzed, mainly to calculate the average, median, and deviation of student satisfaction and participation, to help identify the parts that perform poorly in the existing Q&A model. Finally, these statistical results are combined with student feedback to generate a detailed report, which not only lists the key data points, but also provides analysis of the student emotions and attitude trends behind the data to ensure that the subsequent Q&A model design can solve the problem in a targeted manner.

[0029] Based on the key data point analysis report, create new question-answering models and simulated discussion scenarios to stimulate student participation and develop interactive questions and task design plans; Based on the key data points, the report was analyzed and the Q&A model and discussion scenarios were reconstructed. First, the key issues pointed out in the report were focused on, such as topics with low student engagement or Q&A formats with negative feedback. Then, new interactive questions and tasks were designed, which involved multiple brainstorming sessions on design ideas, including discussions on how to make questions more attractive and how to set up scenarios to make them closer to students' actual needs. After that, the newly designed Q&A model was tested through simulated student interactions, mainly through internal teams simulating different student roles and trying different interactive scenarios to ensure that each newly designed question and task can stimulate students' interest and participation in actual applications. After completing the steps, the draft interactive design was adjusted according to the results of the simulation test to make it more suitable for students' needs.

[0030] Apply interactive questions and task design solutions, collect feedback through student participation tests, make detailed adjustments based on the feedback, and obtain an optimized interactive model; Introduce the newly designed interactive question-and-answer model to a selected group of students for field testing. Specific operations include setting the time frame for the test, selecting the participating student group, and ensuring that the test covers students of different ages and backgrounds. During the test, every response and feedback from students to the new interactive model is collected through the online platform, including students' answer choices for each question, the length and frequency of participation in the discussion, and the open-ended feedback submitted. In addition, post-student interviews are required to directly understand the students who participated in the test about their true feelings and suggestions for the new question-and-answer model. After all the information is summarized, a detailed data analysis is carried out to identify the problematic links and make necessary adjustments to the problems so that the final interactive model can better meet the needs of students and improve student participation and satisfaction.

[0031] See also Figure 6, the steps to obtain the optimized interaction strategy are: Analyze the student feedback data obtained from the optimized interaction model, pay attention to the changes in student behavior, and use the formula: ; Calculating the impact of student behavior , generates a student behavior impact report, which includes Represents the adjusted students in the Number of speeches on a topic, Represents the students before adjustment in the Number of speeches on a topic, is the number of topics; For a specific topic, the online platform collected the number of speeches of 10 students on a specific discussion topic before and after the implementation of the new model: Before adjustment ; After adjustment ; Calculate the score for each student's behavior change: Student 1: ; Student 2: ; Student 3: ; Student 4: ; Student 5: ; Student 6: ; Student 7: ; Student 8: ; Student 9: ; Student 10: ; Find the sum of the behavior change scores: ; Calculating the impact of student behavior : ; The results show that, on average, students' behavioral performance improved by 1.5 points after the interaction mode was adjusted. This shows that the adjusted interaction mode effectively enhanced students' participation and activity. When implementing adjustments to teaching strategies and content, it can clearly point out which changes are most effective, thereby guiding future strategy formulation and ensuring that the optimization of educational content and methods more accurately responds to students' actual feedback and needs.

[0032] Based on the student behavior impact report, identify the ways of delivering educational content that need to be improved, restructure teaching materials to match students' interaction preferences, and develop plans to update educational content; Based on the student behavior impact report, a detailed analysis was conducted on the ways in which educational content could be delivered in a way that needed to be improved. First, after combing through the data in the report, it was found that the main problem was that the existing teaching materials could not stimulate students' interest and participation. Based on this finding, the teaching materials were restructured to better meet students' interaction preferences. Specifically, the common feedback from students during the interaction was analyzed, such as which questions were frequently asked and which content caused students to respond coldly. Then, based on this data, the teaching cases and questions were updated to make them more relevant to the difficulties or common errors that students actually encountered. Furthermore, the structure of the teaching materials was adjusted, such as bringing forward important knowledge points that were originally placed at the end to ensure that students could be exposed to core concepts as early as possible during the interaction. In addition, the proportion of actual cases was increased to enhance the learning and application of theoretical knowledge through actual operation cases. Finally, a new set of educational content update plans was formed, which placed special emphasis on how to drive students' learning interest and participation through specific problems and actual cases.

[0033] Implement the educational content update plan, adjust and improve the interactive teaching process by tracking and evaluating the student acceptance and teaching effect of the new educational content, and generate optimized interactive strategies; After the implementation of the educational content update program, a variety of measures were taken to evaluate the acceptance and teaching effectiveness of the new educational content. First, new teaching materials were provided to students through an online platform, and a feedback channel was opened to allow students to directly provide feedback on their views and learning experience of the new teaching materials. By collecting feedback from the first batch of students using the new teaching materials, it was learned that most students were satisfied with the new materials, especially the increase in practical cases. Based on the feedback, the teaching strategy continued to be adjusted, especially when explaining complex concepts, more examples and practical videos were provided to help students better understand and master the knowledge. Then, the results of exercises and tests completed by students were used to further analyze the effectiveness of the teaching content. The exercises and tests covered all the new concepts and skill points introduced in the update program. By comparing the performance of students in the tests and comparing them with the data before the update, the actual effect of the new teaching content in helping students master core skills was clarified, thus providing a basis for the final optimization and improvement of the interactive teaching strategy.

[0034] See also Figure 7 , the steps for adjusting the ideological and political teaching content are: Apply the optimized interactive strategy, integrate the latest social hot spots data and student interest survey results, and generate comprehensive analysis results of social hot spots and student interests; Integrate the latest social hot spot data and student interest survey results. Through careful screening and analysis, first match the key information of social hot spot reports with the data mentioned in the student interest questionnaire, classify and encode the information, and thus form a detailed data list; next, conduct detailed data statistics for each category, analyze the frequency of occurrence, relevance of the data, and its influence on different student groups. In this way, gradually construct a comprehensive map reflecting the intersection between current educational content and social hot spots and student interests; finally, based on the statistical results, compile a comprehensive report that shows in detail how different hot spots and interest points match students' learning motivation and focus, as well as the specific application methods and potential value of hot spots and interest points in education implementation.

[0035] Based on the comprehensive analysis results of social hot spots and student interests, identify the cases and examples that can be adjusted in the current ideological and political teaching content, determine the teaching content that is most relevant to student interests and social hot spots through comparative analysis, and generate a list of teaching cases to be adjusted; Based on the results of the comprehensive analysis, the current ideological and political teaching content, including textbooks, cases, and actual teaching content, is reviewed in detail to identify the teaching parts that are most relevant to students' interests and social hot spots. Each part is analyzed separately to check the timeliness and attractiveness of its content to ensure that the information in the textbooks is up to date and that the cases and examples are of interest to students. In addition, the teaching methods need to be evaluated to see if new teaching techniques need to be introduced or the teaching methods need to be adjusted to better attract students' attention and interest. Through a series of detailed analyses and evaluations, a list of cases that need to be adjusted or updated is finally determined, which not only lists the specific teaching content, but also provides specific suggestions and reasons for updating each content to ensure that the teaching content is both modern and close to students' actual needs.

[0036] Based on the list of teaching cases to be adjusted, redesign and adjust cases and examples, test their compatibility with social hot spots and students' interests, and generate adjusted ideological and political teaching content; Starting from the list of teaching cases to be adjusted, detailed content design and adjustment are carried out for each case to ensure that each teaching case not only reflects the current social hot spots, but also arouses students' interest; specifically, the first is to accurately adjust the case content to ensure that all data, events and references are up-to-date and related to social hot spots known to students; secondly, the presentation of cases is redesigned, such as transforming traditional text cases into interactive discussion activities or multimedia presentations, aiming to increase student participation and interest; at the same time, in order to further improve the teaching effect, it is also necessary to innovate the teaching methods of cases, such as introducing role-playing, debates or group discussions, so that students can understand and think about the case content more deeply; finally, all adjusted cases are integrated to form a new teaching content plan to ensure the continuity of teaching content and maximize student learning effects.

[0037] See also Figure 8 ,The steps for obtaining the dynamically optimized ideological and political education program are: According to the adjusted ideological and political teaching content, prepare ideological and political education content update notice, reveal the changes in teaching content, and generate the latest education content update notice draft; When formulating a notification on updating the content of ideological and political education, we must first start with the results of the adjustments to the teaching content. By analyzing the course adjustment reports and students’ learning feedback records, specific operations include collecting update records of all courses in the most recent semester and feedback submitted by students through online learning platforms. The data includes students’ understanding of the course content, their interests, and possible confusions. By comparing the course objectives with student feedback item by item, we can determine which content needs further emphasis or modification. Next, we compile the specific update points into a document to form a preliminary draft notification. The draft details the specific reasons for each content update and its expected improvement effects to ensure that each content update will have clear benefits for students. Finally, we review and revise these drafts to ensure the accuracy of the information and the clarity of the expression. After completing this process, the notification will be sent to all teachers and students in the form of emails and announcements on the education platform to ensure the timeliness and breadth of the information.

[0038] Analyze students' reception and feedback on existing teaching content, adjust the content presentation method based on the feedback, match students' learning habits and needs, and obtain an adjusted content presentation plan; Adjusting the presentation of teaching content involves in-depth analysis of existing teaching materials and teaching methods, and collecting extensive student feedback, including satisfaction with classroom interaction, evaluation of understanding of textbook content, and feedback on teaching methods. These feedbacks are collected through after-class questionnaires and online forums. The collected data needs to be classified and organized to identify the teaching links and content with the most problems reported by students. Then, new teaching strategies are discussed and designed for the problem points, such as increasing the interactivity and practicality of the course by adding case studies, practical exercises, or introducing problem-solving links. In addition, the structure and content of the textbooks need to be adjusted, such as presenting complex theoretical parts with more diagrams and examples to simplify the students' understanding process, and evaluating the effectiveness of new methods through repeated trial lectures and small-scale tests, ultimately forming a set of teaching content presentation plans that better meet students' needs and learning habits.

[0039] Combined with the latest draft of the education content update notice and the adjusted content presentation plan, we continuously match the teaching content with the needs of students and generate a dynamic and optimized ideological and political education plan; When formulating a dynamically optimized ideological and political education program, the key is to effectively connect the adjustment of teaching content with student needs. It is necessary to establish a feedback mechanism involving teachers, student representatives, and teaching management personnel, and collect opinions and suggestions from all parties through regular meetings and online discussion platforms, especially to record and analyze in detail the problems encountered in the implementation of teaching, such as tracking students' learning outcomes to understand which teaching methods or content need to be improved, conduct statistical analysis of the collected data, identify the key factors affecting teaching effectiveness, and then adjust the teaching plan and teaching strategies based on these analysis results, such as increasing or decreasing the teaching time of certain course content, introducing new teaching activities, or adjusting the course sequence. All adjustments need to be tested in actual teaching to observe their effects and ensure that each adjustment is based on actual teaching and learning data. Through dynamic adjustments, the education program can be continuously optimized to better adapt to students' development needs and changes in teaching objectives, and maintain the cutting-edge nature and effectiveness of educational content.

[0040] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. An ideological and political education interactive system based on social media, characterized in that: The system comprises: The social media monitoring module monitors the real-time data of online learning communities and forums, captures students’ posts and interactions on social media platforms, collects posts related to ideological and political education, analyzes topic popularity based on student participation, and obtains core content tags; The content analysis and classification module performs text analysis on the post content based on the core content tags, collects students' emotional tendencies and relevant discussions on ideological and political education from the text, and classifies the post content into those that promote understanding and those that need to be adjusted. Based on the classification results, similar posts are aggregated through cluster analysis to identify mainstream and marginal views, analyze students' attitudes and emotional distribution, and form emotional and attitude analysis results; The interactive mode optimization module adjusts the details of the interactive mode by modifying the question-answer mode and adding simulated discussion scenarios according to the emotion and attitude analysis results. It analyzes the impact of different interactive modes on student behavior according to the interactive mode adjustment results, changes the way educational content is delivered, and generates an optimized interactive strategy. The educational content update module utilizes the optimized interactive strategy to synchronize social hot spots and student interests, adjust the cases and examples in the ideological and political teaching content, regularly publish ideological and political education content update notifications based on the results of the teaching content adjustment, adjust the content presentation method to match student needs, and formulate a dynamically optimized ideological and political education plan.

2. According to claim 1, the ideological and political education interactive system based on social media is characterized in that: The steps for obtaining the core content label are as follows: Monitor social media platforms, regularly capture student posts and interaction data, count likes, comments, and sharing information, reveal student behavior patterns, and timestamp the data to obtain a preliminary collection data set; According to the preliminary collected data set, by identifying keywords and topics, posts about ideological and political education and student interaction information are screened to obtain a related data set; To process the associated data set, the formula is used: ； Calculate topic popularity , generate core content tags, where Indicates the number of interactions. Indicates the number of comments. is the total number of posts.

3. The ideological and political education interactive system based on social media according to claim 2 is characterized in that: The steps for classifying the post content are as follows: Indexing the posts through the core content tags, extracting paragraphs containing sentiment tendencies and ideological and political education discourses from the post texts according to a set keyword set, and generating preliminary text paragraph extraction results; Analyze the preliminary text paragraph extraction results, identify specific words and contexts that express emotions and ideological and political education content, determine the relevance of words and contexts, and generate specific analysis results of emotions and ideological and political content; According to the specific analysis results of the emotions and ideological and political content, the posts are classified, and classified based on content orientation and constructiveness to determine whether the posts are the type that promotes understanding or the type that requires adjustment of understanding, and generate post classification results.

4. The ideological and political education interactive system based on social media according to claim 3 is characterized in that: The steps for obtaining the emotion and attitude analysis results are as follows: According to the post classification results, the posts are grouped according to the similarity of the contents, posts with similar topics and arguments are clustered, and similar post clustering results are generated; Analyzing the similar post aggregation results, distinguishing posts expressing mainstream opinions from marginal opinions by statistically analyzing the number and influence of posts in each group, and generating mainstream and marginal opinion identification results; Based on the mainstream and marginal viewpoint identification results, by evaluating the frequency of use of emotional words and the emotional color of the context, the distribution of students' emotions and attitudes in the posts is analyzed to form the emotion and attitude analysis results.

5. The ideological and political education interactive system based on social media according to claim 4 is characterized in that: The steps for adjusting the interaction mode details are: Based on the emotion and attitude analysis results, extract key data points, analyze students' participation and satisfaction, and generate a key data point analysis report; Based on the key data point analysis report, create new question-answering models and simulated discussion scenarios to stimulate student participation and develop interactive questions and task design plans; The interactive questions and task design scheme is applied, feedback is collected through student participation in the test, and detailed adjustments are made based on the feedback to obtain an optimized interactive model.

6. The ideological and political education interactive system based on social media according to claim 5 is characterized in that: The steps for obtaining the optimized interaction strategy are: Analyze the student feedback data obtained from the optimized interaction model, pay attention to the changes in student behavior, and use the formula: ； Calculating the impact of student behavior , generates a student behavior impact report, which includes Represents the adjusted students in the Number of speeches on a topic, Represents the students before adjustment in the Number of speeches on a topic, is the number of topics; Based on the student behavior impact report, identify the educational content delivery methods that need to be improved, restructure teaching materials to match students' interaction preferences, and develop educational content update plans; Implement the educational content update plan, adjust and improve the interactive teaching process by tracking and evaluating students' acceptance and teaching effectiveness of the new educational content, and generate optimized interactive strategies.

7. The ideological and political education interactive system based on social media according to claim 6 is characterized in that: The steps for adjusting the ideological and political teaching content are as follows: Apply the optimized interactive strategy, integrate the latest social hot spot data and student interest survey results, and generate comprehensive analysis results of social hot spots and student interests; According to the comprehensive analysis results of the social hot spots and students' interests, identify the cases and examples that can be adjusted in the current ideological and political teaching content, determine the teaching content that is most relevant to students' interests and social hot spots through comparative analysis, and generate a list of teaching cases to be adjusted; Based on the list of teaching cases to be adjusted, redesign and adjust the cases and examples, verify their matching with social hot spots and students' interests, and generate adjusted ideological and political teaching content.

8. The ideological and political education interactive system based on social media according to claim 7 is characterized in that: The steps for obtaining the dynamically optimized ideological and political education program are as follows: According to the adjusted ideological and political teaching content, prepare an ideological and political education content update notice, reveal the changes in teaching content, and generate the latest education content update notice draft; Analyze students' reception and feedback on existing teaching content, adjust the content presentation method based on the feedback, match students' learning habits and needs, and obtain an adjusted content presentation plan; In combination with the latest draft notification on education content update and the adjusted content presentation plan, continuous matching of teaching content with student needs is carried out to generate a dynamically optimized ideological and political education plan.

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