Virtual classroom management method and device, electronic equipment and medium

Abstract

The invention provides a virtual classroom management method and device, electronic equipment and a medium, and can be applied to the technical field of big data and the technical field of artificial intelligence. The method comprises the following steps: in response to a target education scene selected by a user, providing a virtual interaction platform based on the target education scene; respectively creating digital identities for the user, the teacher and the manager, wherein the digital identities are used for enabling the user and the teacher to perform real-time interaction and communication on the virtual interaction platform; in response to the fact that the user logs in the virtual interaction platform by using the corresponding digital identity, collecting virtual reality feature data of the user in the target education scene; performing real-time analysis on the emotion state of the user based on the virtual reality feature data to obtain the satisfaction degree and the acceptability of the user; and sending the user satisfaction degree and the acceptance degree to a manager, and obtaining a monitoring result and a management decision, returned by the manager, of the operation state of the virtual classroom.

Description

Technical Field

[0001] The present invention relates to the fields of big data technology and artificial intelligence technology, and more specifically to a virtual classroom management method, device, electronic equipment and medium. Background Art

[0002] In the traditional financial education and marketing fields, education and communication mainly rely on traditional media such as oral explanations, graphic content and video presentations. Although these methods are widely used, they have several significant defects that limit their effectiveness and efficiency.

[0003] First, traditional financial education usually delivers information through direct lectures or video tutorials, which is often not effective in explaining complex financial concepts and strategies, and is difficult to stimulate users' interest in learning and sense of participation. It lacks sufficient immersion and real-time interactive mechanisms, resulting in poor user experience.

[0004] Secondly, in standardized educational content delivery, all users receive the same teaching materials and teaching rhythm, which cannot be adjusted according to individual needs and comprehension abilities, and therefore cannot meet the needs of all users, especially when users’ backgrounds and prior knowledge vary significantly.

[0005] In addition, traditional online education systems usually lack effective tools to monitor and analyze students’ learning status, emotions, and satisfaction in real time, which makes it difficult for education providers to obtain immediate feedback, resulting in insufficient responsiveness and adaptability. Summary of the invention

[0006] In view of the above problems, according to a first aspect of the present invention, a method for managing a virtual classroom is provided, the method comprising: in response to a user selecting a target educational scenario, providing a virtual interactive platform based on the target educational scenario; creating digital identities for the user, the instructor and the manager respectively, the digital identities being used to enable the user and the instructor to interact and communicate in real time on the virtual interactive platform; in response to the user logging into the virtual interactive platform using the corresponding digital identity, collecting virtual reality feature data of the user in the target educational scenario; performing real-time analysis of the user's emotional state based on the virtual reality feature data to obtain user satisfaction and acceptance; and sending the user satisfaction and acceptance to the manager to obtain monitoring results and management decisions of the virtual classroom operation status returned by the manager.

[0007] According to some exemplary embodiments, the virtual reality feature data includes the user's behavior data and physiological signal data in the target educational scenario, and the real-time analysis of the user's emotional state based on the virtual reality feature data to obtain user satisfaction and acceptance specifically includes: based on the behavior data, identifying the user's activity and depth of participation in the educational content to obtain a first recognition result; performing emotion recognition and attention assessment based on the physiological signal data to obtain a second recognition result; and integrating the first recognition result and the second recognition result to obtain the user satisfaction and acceptance.

[0008] According to some exemplary embodiments, the emotion recognition and attention assessment based on the physiological signal data to obtain the second recognition result specifically includes: acquiring the original physiological signal data transmitted by a physiological signal data acquisition device pre-authorized by the user; preprocessing the original physiological signal data to extract key physiological parameters; inputting the key physiological parameters into a pre-built emotion state recognition model and attention level assessment model, respectively, and outputting the emotion state possibility and attention level assessment results; and analyzing the comprehensive impact of the emotion state possibility and the attention level assessment results on the learning effect to obtain the second recognition result.

[0009] According to some exemplary embodiments, the behavioral data includes the frequency, duration and engagement indicators of interactions, and the identifying the user's activity and depth of engagement in educational content based on the behavioral data to obtain a first identification result specifically includes: performing quantitative analysis based on the frequency, duration and engagement indicators of interactions to identify the user's interest in and possible involvement in educational content; and analyzing the comprehensive impact of the interest and possible involvement on learning outcomes to obtain the first identification result.

[0010] According to some exemplary embodiments, sending the user satisfaction and acceptance to the manager specifically includes: generating a visualization dashboard based on the user satisfaction and acceptance; and sending the visualization dashboard to the manager via a secure enterprise-level file sharing service.

[0011] According to some exemplary embodiments, after obtaining the monitoring results and management decisions of the virtual classroom operation status returned by the manager, the method also includes: updating the teaching content and difficulty setting of the target education scenario based on the management decision; re-collecting the updated virtual feature data of the user in the updated target education scenario, and performing real-time analysis of the user's emotional state to obtain updated user satisfaction and acceptance; and generating updated optimization results based on the updated user satisfaction and acceptance.

[0012] According to a second aspect of the present invention, a method for constructing a virtual classroom system is proposed, the method comprising: constructing a physical layer, including configuring a mobile communication network, an immersive learning device, and a biological data collection device; configuring a software layer, including configuring virtual reality streaming software and a digital distribution platform on a source device and a target device, the digital distribution platform being used to realize real-time synchronization and transmission of virtual reality content; realizing an application layer, for creating digital identities and multiple educational scenarios of stakeholders based on virtual reality technology, so that the stakeholders can interact in a virtual interactive platform in the educational scenario; and constructing an analysis layer, the analysis layer being used to perform real-time analysis of the user's emotional state on the virtual reality feature data obtained from the physical layer and the application layer.

[0013] According to some exemplary embodiments, configuring virtual reality streaming software specifically includes: configuring virtual reality streaming software on the source device and the target device based on a wired streaming method.

[0014] According to some exemplary embodiments, the biological data collection device includes a heart rate monitoring belt, a skin electrode activity sensor, and an eye tracker, and the biological data collection device is used to collect physiological parameters of the user, and the physiological parameters are used to analyze the emotional state of the user.

[0015] According to a third aspect of the present invention, a virtual classroom management device is provided, the device comprising: a virtual interaction platform providing module, used to: in response to a user selecting a target education scenario, provide a virtual interaction platform based on the target education scenario; a digital identity creating module, used to: create digital identities for users, instructors and managers respectively, the digital identities are used to enable users and instructors to interact and communicate in real time on the virtual interaction platform; a feature data collection module, used to: in response to a user logging into the virtual interaction platform using a corresponding digital identity, collect virtual reality feature data of the user in the target education scenario; a real-time analysis module, used to: perform real-time analysis of the user's emotional state based on the virtual reality feature data to obtain user satisfaction and acceptance; and a classroom management module, used to: send the user satisfaction and acceptance to the manager, and obtain the monitoring results and management decisions of the virtual classroom operation status returned by the manager.

[0016] According to some exemplary embodiments, the real-time analysis module may include a behavior recognition module, a physiological recognition module, and a recognition result integration unit.

[0017] According to some exemplary embodiments, the behavior recognition module may be used to identify the user's activity and depth of participation in educational content based on the behavior data to obtain a first recognition result.

[0018] According to some exemplary embodiments, the physiological recognition module may be used to perform emotion recognition and attention assessment based on the physiological signal data to obtain a second recognition result.

[0019] According to some exemplary embodiments, the recognition result integration unit may be used to integrate the first recognition result and the second recognition result to obtain the user satisfaction and acceptance.

[0020] According to some exemplary embodiments, the behavior recognition module may include a quantitative analysis unit and an impact analysis unit.

[0021] According to some exemplary embodiments, the quantitative analysis unit may be used to perform quantitative analysis based on the frequency, duration and engagement index of the interaction to identify the user's interest in and likelihood of involvement in the educational content.

[0022] According to some exemplary embodiments, the impact analysis unit may be used to analyze the comprehensive impact of the interest and involvement possibility on the learning effect to obtain the first recognition result.

[0023] According to some exemplary embodiments, the physiological recognition module may include a collection unit, a preprocessing unit, an input unit, and an effect analysis unit.

[0024] According to some exemplary embodiments, the acquisition unit may be used to acquire raw physiological signal data transmitted by a physiological signal data acquisition device that is pre-authorized by the user.

[0025] According to some exemplary embodiments, the preprocessing unit may be used to preprocess the raw physiological signal data to extract key physiological parameters.

[0026] According to some exemplary embodiments, the input unit may be used to input the key physiological parameters into a pre-built emotional state recognition model and an attention level assessment model, respectively, and output emotional state possibility and attention level assessment results.

[0027] According to some exemplary embodiments, the effect analysis unit may be used to analyze the combined impact of the emotional state possibility and the attention level evaluation result on the learning effect to obtain the second recognition result.

[0028] According to some exemplary embodiments, the classroom management module may include a visualization dashboard generating unit and a sending unit.

[0029] According to some exemplary embodiments, the visualization dashboard generating unit may be configured to generate a visualization dashboard based on the user satisfaction and acceptance.

[0030] According to some exemplary embodiments, the sending unit may be configured to send the visualization dashboard to a manager via a secure enterprise-level file sharing service.

[0031] According to some exemplary embodiments, the virtual classroom management device may further include a dynamic update module.

[0032] According to some exemplary embodiments, the dynamic update module may include a scene update unit, a re-collection unit and an update evaluation unit.

[0033] According to some exemplary embodiments, the scenario updating unit may be configured to update the teaching content and difficulty setting of the target educational scenario based on the management decision.

[0034] According to some exemplary embodiments, the re-collection unit may be used to re-collect the updated virtual feature data of the user in the updated target educational scenario, and perform real-time analysis of the user's emotional state to obtain updated user satisfaction and acceptance.

[0035] According to some exemplary embodiments, the update evaluation unit may be used to generate an update optimization result based on user satisfaction and acceptance after the update.

[0036] According to a fourth aspect of the present invention, a virtual classroom system is provided, the system comprising: a physical layer, including a mobile communication network, an immersive learning device and a biological data collection device; a software layer, including virtual reality streaming software and a digital distribution platform configured on a source device and a target device, the digital distribution platform being used to achieve real-time synchronization and transmission of virtual reality content; an application layer, being used to: create digital identities of stakeholders and multiple educational scenarios, so that the stakeholders can interact in a virtual interactive platform in the educational scenarios; and an analysis layer, being used to: perform real-time analysis of the user's emotional state on the virtual reality feature data obtained from the physical layer and the application layer.

[0037] According to a fifth aspect of the present invention, there is provided an electronic device, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors execute the method as described above.

[0038] According to a sixth aspect of the present invention, there is provided a computer-readable storage medium having executable instructions stored thereon, which, when executed by a processor, causes the processor to execute the method as described above.

[0039] According to a seventh aspect of the present invention, there is provided a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method as described above is implemented.

[0040] One or more of the above embodiments have the following advantages or beneficial effects: The virtual classroom management method provided by the present invention enables users and instructors to interact and communicate in real time in an immersive environment by creating digital identities and using virtual interactive platforms. This method simulates the interactivity of traditional classrooms, but can break through geographical and physical limitations in a virtual environment, thereby improving user acceptance; at the same time, by collecting virtual reality feature data of users in the target educational scenario, real-time feedback can be provided to managers, so that teaching strategies can be adjusted in real time to better adapt to the user's learning rhythm and improve teaching effectiveness, thereby improving user experience and timely responsiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The above contents and other objects, features and advantages of the present invention will become more apparent through the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:

[0042] Figure 1 A diagram schematically shows an application scenario of a virtual classroom management method, apparatus, device, and medium according to an embodiment of the present invention;

[0043] Figure 2 A flowchart schematically shows a management method applied to a server virtual classroom according to an embodiment of the present invention;

[0044] Figure 3 A flowchart of a method for real-time analysis of a user's emotional state according to an embodiment of the present invention is schematically shown;

[0045] Figure 4 A flowchart schematically illustrates a method for identifying a user's activity and participation depth in educational content according to an embodiment of the present invention;

[0046] Figure 5 A flow chart schematically shows a method for performing emotion recognition and attention assessment based on the physiological signal data;

[0047] Figure 6 A flowchart of a method for sending user satisfaction and acceptance to a manager according to an embodiment of the present invention is schematically shown;

[0048] Figure 7 Schematically showing a flow chart of a method for dynamically updating the content and difficulty setting of an educational scene according to an embodiment of the present invention;

[0049] Figure 8 A flowchart schematically shows a method for constructing a virtual classroom system according to an embodiment of the present invention;

[0050] Fig.9A A schematic diagram schematically shows a physical layer architecture according to an embodiment of the present invention;

[0051] Fig. 9B A schematic diagram of a software layer architecture according to an embodiment of the present invention is shown;

[0052] Fig.10 A schematic diagram of a structure of a virtual classroom management device applied to a user terminal according to an embodiment of the present invention is shown;

[0053] Fig.11 A block diagram of an electronic device suitable for a virtual classroom management method according to an embodiment of the present invention is schematically shown. DETAILED DESCRIPTION

[0054] Below, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present invention. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of embodiments of the present invention. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of concepts of the present invention.

[0055] The terms used herein are only for describing specific embodiments and are not intended to limit the present invention. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0056] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0057] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0058] In the technical solution of the present invention, the acquisition, storage and application of user personal information involved all comply with the provisions of relevant laws and regulations, take necessary confidentiality measures, and do not violate public order and good morals.

[0059] First, the technical terms described in this article are explained and described as follows.

[0060] Virtual Reality (VR): Virtual reality is a simulated environment created through computer technology and software that allows users to enter and interact with this three-dimensional world through sensory devices such as head-mounted displays (HMDs), handles, and other sensors. The user's visual, auditory, and even tactile senses can be simulated to create an immersive experience. Virtual reality is widely used in games, education, training simulations, real estate, and medical fields.

[0061] A visual dashboard is a user interface tool that dynamically displays various information and data, making it easy to understand and analyze. It usually presents data through visual elements such as charts, meters, indicators and maps. It is widely used in many fields such as corporate management, financial analysis, network monitoring and academic research. Dashboards can help decision makers quickly grasp key indicators and trends, so as to make more effective decisions.

[0062] Immersive learning devices refer to technical equipment that can provide or enhance immersive learning experiences, such as virtual reality helmets, augmented reality glasses, panoramic videos, and multi-sensory interaction systems.

[0063] Digital Identity: Digital identity refers to the identity representation of an individual or entity in a digital environment, including various information and attributes related to it, such as username, password, online behavior, etc.

[0064] Streaming Software: Streaming software refers to software that enables real-time transmission of data such as video, audio or game content. This type of software usually handles data compression, transmission and decompression to achieve low-latency content playback.

[0065] Digital Distribution Platform: A digital distribution platform refers to an online service platform used to sell and distribute digital products (such as software, games, music, and e-books).

[0066] Traditional financial education usually delivers information through direct lectures or video tutorials, but these methods are often not intuitive or vivid when explaining complex financial products, market mechanisms or investment strategies. The accumulation of complex charts and terms often makes it difficult for non-professional users to understand, leading to cognitive barriers.

[0067] Moreover, due to the lack of real-time interactive mechanisms, these traditional methods cannot respond to students' questions or adjust the depth and speed of explanations immediately, making the teaching process lack of pertinence and appeal. In addition, static media and one-way information flow cannot provide an immersive learning experience and it is difficult to stimulate users' interest and in-depth participation.

[0068] At the same time, in the standardized education model, all users receive the same teaching materials and teaching rhythm. This "one-size-fits-all" approach ignores individual differences among users, such as knowledge background, learning speed and preferences. Especially in the field of financial education, which involves a high degree of professionalism, differences in user backgrounds may have a significant impact on learning outcomes.

[0069] Due to the lack of the ability to flexibly adjust teaching content, traditional educational methods cannot effectively adapt to the specific needs of different users, especially when facing diverse learning groups, and cannot provide each user with educational resources that best suit their learning path.

[0070] In addition, traditional online education systems often lack effective tools to monitor students’ learning progress, emotional state, and satisfaction. This lack of real-time feedback makes it difficult for education providers to understand students’ learning status in a timely manner, and thus unable to adjust teaching strategies in a timely manner to meet students’ actual needs.

[0071] Without sufficient monitoring and feedback, it is difficult for educators to optimize teaching content and methods in a timely manner, resulting in poor teaching responsiveness. This not only affects students' learning efficiency, but may also affect their satisfaction with the learning content and the final learning outcomes, resulting in insufficient responsiveness and adaptability.

[0072] In summary, traditional financial education and marketing methods have significant deficiencies in the effectiveness of conveying complex concepts, providing personalized teaching, and establishing effective monitoring and feedback mechanisms, which affects the effectiveness and efficiency of financial teaching.

[0073] Based on this, an embodiment of the present invention provides a virtual classroom management method, the method comprising: in response to a user selecting a target education scene, providing a virtual interactive platform based on the target education scene; creating digital identities for users, instructors and managers respectively, the digital identities are used to enable users and instructors to interact and communicate in real time on the virtual interactive platform; in response to the user using the corresponding digital identity to log in to the virtual interactive platform, collecting virtual reality feature data of the user in the target education scene; performing real-time analysis of the user's emotional state based on the virtual reality feature data to obtain user satisfaction and acceptance; and sending the user satisfaction and acceptance to the manager to obtain the monitoring results and management decisions of the virtual classroom operation state returned by the manager. The virtual classroom management method provided by the present invention enables users and instructors to interact and communicate in real time in an immersive environment by creating digital identities and using virtual interactive platforms. This method simulates the interactivity of traditional classrooms, but can break through geographical and physical limitations in a virtual environment, thereby improving user acceptance; at the same time, by collecting the virtual reality feature data of users in the target education scene, real-time feedback can be provided to managers, so that teaching strategies can be adjusted immediately to better adapt to the user's learning rhythm and improve teaching effects, thereby improving user experience and timely responsiveness.

[0074] It should be noted that the virtual classroom management method, device, equipment and medium determined by the present invention can be used in the fields of big data technology and artificial intelligence technology, can also be used in the financial field, and can also be used in various fields other than the fields of big data technology and artificial intelligence technology and the financial field. The application fields of the virtual classroom management method, device, equipment and medium provided by the embodiments of the present invention are not limited.

[0075] In the technical solution of the present invention, the user information (including but not limited to user personal information, user image information, user device information, such as location information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved are all information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data comply with relevant laws, regulations and standards, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0076] In the scenario of using personal information for automated decision-making, the methods, devices, and systems provided by the embodiments of the present invention provide users with corresponding operation portals for users to choose to agree or reject the automated decision-making results; if the user chooses to reject, the expert decision-making process will be entered. The expression "automated decision-making" here refers to the activity of automatically analyzing and evaluating an individual's behavioral habits, interests and hobbies, or economic, health, credit status, etc. through computer programs, and making decisions. The expression "expert decision-making" here refers to the activity of making decisions by people who specialize in a certain field, have specialized experience, knowledge and skills, and have reached a certain level of professionalism.

[0077] Figure 1 The application scenario diagram of the virtual classroom management method, apparatus, device, and medium according to an embodiment of the present invention is schematically shown.

[0078] like Figure 1 As shown, the application scenario 100 according to this embodiment may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 is used to provide a medium for a communication link between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0079] Users can use terminal devices 101, 102, 103 to interact with server 105 through network 104 to receive or send messages, etc. Various communication client applications can be installed on terminal devices 101, 102, 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (only for example).

[0080] The terminal devices 101 , 102 , and 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, and desktop computers.

[0081] The server 105 may be a server that provides various services, such as a background management server (only as an example) that provides support for websites browsed by users using the terminal devices 101, 102, and 103. The background management server may analyze and process the received data such as user requests, and feed back the processing results (such as web pages, information, or data obtained or generated according to user requests) to the terminal device.

[0082] It should be noted that the virtual classroom management method provided in the embodiment of the present invention can generally be executed by the server 105. Accordingly, the virtual classroom management device provided in the embodiment of the present invention can generally be set in the server 105. The virtual classroom management method provided in the embodiment of the present invention can also be executed by a server or server cluster that is different from the server 105 and can communicate with the terminal devices 101, 102, 103 and / or the server 105. Accordingly, the virtual classroom management device provided in the embodiment of the present invention can also be set in a server or server cluster that is different from the server 105 and can communicate with the terminal devices 101, 102, 103 and / or the server 105.

[0083] It should be understood that Figure 1 The number of devices and networks in the embodiment is only for illustration. Any number of devices and networks may be provided according to implementation requirements.

[0084] Figure 2 The flowchart of the virtual classroom management method applied to the server according to the embodiment of the present invention is schematically shown.

[0085] like Figure 2 As shown, the virtual classroom management method 200 of this embodiment may include operations S210 to S250.

[0086] In operation S210, in response to the user selecting a target education scene, a virtual interactive platform is provided based on the target education scene. The user may be provided with a plurality of preset education scene options in the virtual education system. For example, the preset education scenes may include "branch hall", "financial management room" and "credit card room".

[0087] Among them, the branch lobby simulates the real-life bank branch environment, allowing users to understand the handling of daily banking affairs through actual operations; the financial management room can build a virtual environment focused on personal and corporate financial management to help customers master strategies and skills for effective financial management. For example, customers can improve their financial decision-making ability by learning to understand and apply financial management knowledge. Through simulated investment, customers can experience the impact of market fluctuations on their investment portfolios and enhance their practical experience in financial planning; the credit card room can simulate the credit card application, use, management and risk control process to improve customers' knowledge and ability in credit management. Customers can simulate the credit card application and approval process and learn how to calculate credit scores and credit limits.

[0088] Instructors can introduce scenarios such as credit card fraud and overdue processing to teach customers how to prevent risks and deal with credit card problems.

[0089] In an embodiment of the present invention, the selection mechanism may be implemented through a graphical user interface (GUI), and the user may select the desired educational scenario through clicks, voice commands, or other interactive methods.

[0090] In operation S220, digital identities are created for the user, the instructor, and the administrator, respectively, and the digital identities are used to enable the user and the instructor to interact and communicate in real time on the virtual interactive platform. On the virtual interactive platform, the user and the instructor can interact in real time through their digital identities, and the digital identity created for the administrator usually has more advanced permissions, such as accessing background data, modifying course settings, monitoring teaching activities, etc.

[0091] In operation S230, in response to the user logging into the virtual interactive platform using the corresponding digital identity, the virtual reality feature data of the user in the target educational scene is collected. The virtual reality feature data includes the behavior data and physiological signal data of the user in the target educational scene.

[0092] Among them, behavioral data can include the frequency, duration, and engagement indicators of users' interactions in virtual environments. For example, how users navigate virtual scenes, how they interact with educational content (click, select, drag, etc.), and how active they are in participating in discussions or collaborative tasks. Physiological signal data can include heart rate, electrodermal activity (EDA), eye tracking, facial expressions, etc. These data reflect the user's physiological responses and can be used to assess emotional states, stress levels, concentration, etc. The collection of such data usually requires specific physiological monitoring equipment, such as heart rate monitors, EDA sensors, eye trackers, etc. These devices need to be integrated with the user's virtual reality equipment (such as VR helmets) to synchronously record data while the user participates in virtual activities.

[0093] It should be noted that before data collection begins, the purpose and method of collection, how the data will be used, and their rights, including the right to withdraw consent at any time, must be clearly explained to the participants, and their explicit consent must be obtained. When designing a data collection system, relevant data protection and privacy laws and regulations must be complied with, and the collected data should be stored and transmitted in encrypted form to prevent unauthorized access.

[0094] In operation S240, a real-time analysis of the user's emotional state is performed based on the virtual reality feature data to obtain user satisfaction and acceptance.

[0095] Figure 3 The flowchart of the method for real-time analysis of the user's emotional state according to an embodiment of the present invention is schematically shown.

[0096] like Figure 3As shown, the method for real-time analysis of the user's emotional state in this embodiment may include operations S310 to S330, and operations S310 to S330 may at least partially execute operation S240.

[0097] In operation S310, based on the behavior data, the user's activity and participation depth in the educational content are identified to obtain a first identification result.

[0098] Figure 4 The flowchart of the method for identifying the activity and participation depth of a user in educational content according to an embodiment of the present invention is schematically shown.

[0099] like Figure 4 As shown, the method of identifying the user's activity and participation depth in educational content in this embodiment may include operations S410 to S420, and operations S410 to S420 may at least partially execute operation S310.

[0100] In operation S410, a quantitative analysis is performed based on the frequency, duration and engagement index of the interaction to identify the user's interest in and involvement in the educational content. For example, a statistical method can be used to evaluate statistical indicators such as the mean and variance of the interaction frequency and duration to obtain the user's overall interest and involvement in specific educational content; or a pattern recognition technique or machine learning algorithm, such as cluster analysis or decision tree, can be used to identify user behavior patterns to distinguish different levels of interest and involvement.

[0101] In operation S420, the comprehensive influence of the interest and involvement possibility on the learning effect is analyzed to obtain the first recognition result. For example, statistical methods such as Pearson correlation coefficient and Spearman rank correlation can be used to explore the relationship between the user's interest and involvement and the learning outcome; or a regression model can be implemented to predict the specific influence of interest and involvement on the learning effect at different levels, and determine which factors are key predictors affecting the learning outcome.

[0102] Return to reference Figure 3 In operation S320, emotion recognition and attention assessment are performed based on the physiological signal data to obtain a second recognition result.

[0103] Figure 5 A flow chart of a method for emotion recognition and attention assessment based on the physiological signal data is schematically shown.

[0104] like Figure 5 As shown, the method for performing emotion recognition and attention assessment based on the physiological signal data of this embodiment may include operations S510 to S530, and operations S510 to S530 may at least partially execute operation S320.

[0105] In operation S510, original physiological signal data transmitted by a physiological signal data acquisition device pre-authorized by a user is acquired.

[0106] In the field of investment and financial management, physiological signal data acquisition equipment can analyze the user's emotional state and stress level by collecting the user's physiological parameters, thereby better understanding the user's needs and intentions. For example, it can be based on the following methods:

[0107] 1. Galvanic Skin Response (GSR): The GSR method is to determine the user's emotional state by measuring the change in skin resistance. When the user is interested in the content being taught, the skin resistance will decrease because the expansion of the sweat glands in the skin causes the skin conductivity to increase. By monitoring GSR, the user's interest and emotional changes can be inferred;

[0108] 2. Heart rate variability (HRV): HRV refers to the degree of change in the heartbeat interval, which can reflect the activity of the autonomic nervous system and can be used to assess the user's stress level and emotional state. By monitoring HRV, the system can provide corresponding support when the user feels nervous or uneasy, such as reminding the user to take a deep breath or take a short break to reduce stress and improve emotional state;

[0109] 3. Eye tracker: Eye trackers can track users’ gaze and eye movements, providing data about users’ attention and interests. For example, the time users stare at the screen, the scanning path, etc. In financial services, eye trackers can be used to analyze users’ attention distribution when viewing financial statements or investment analysis. If users pay special attention to certain areas of information, this may indicate that they are interested in or have questions about the information, and advisors can provide more detailed explanations or adjust the way the information is presented.

[0110] The association between physiological parameters and financial behavior can be revealed through data analysis technology. For example, by analyzing the physiological reactions of users when making investment decisions, the association between certain physiological signals and specific investment behaviors can be found. This information can help financial advisors or automated investment systems predict users' behavior more accurately and provide personalized investment advice or adjust investment strategies accordingly.

[0111] In operation S520, the raw physiological signal data is preprocessed to extract key physiological parameters. The raw physiological signal data may contain noise and possible errors, and needs to be preprocessed to improve data quality, including filtering, denoising, normalization, etc., in order to purify the data and extract reliable signals. Furthermore, key indicators such as average heart rate, heart rate variability, maximum / minimum / average skin electrical response, etc. are extracted from the processed data. These parameters can reflect the user's physiological and emotional state.

[0112] In operation S530, the key physiological parameters are respectively input into a pre-built emotional state recognition model and an attention level assessment model, and the emotional state possibility and attention level assessment results are output.

[0113] In operation S540, the combined impact of the emotional state possibility and the attention level evaluation result on the learning effect is analyzed to obtain the second recognition result. This can be achieved through statistical methods such as correlation analysis and regression model to identify and quantify the specific impact of emotion and attention on the learning effect.

[0114] Return to reference Figure 3 In operation S330, the first recognition result and the second recognition result are integrated to obtain the user satisfaction and acceptance. The analysis results of the behavior data and the physiological signal data can be combined to comprehensively evaluate the user's satisfaction and acceptance through a preset weighted weight or algorithm model. For example, multivariate analysis, a comprehensive scoring algorithm, or a machine learning method can be used to integrate multi-source data and generate a comprehensive satisfaction and acceptance evaluation.

[0115] In addition to the above analysis methods, other data can also be combined to provide auxiliary analysis. For example, data mining techniques such as decision trees, logistic regression and Bayesian probability classification algorithms can be used to analyze users' purchasing behavior and their cross-purchase behavior of different financial products. These technologies can help financial institutions better understand users' needs and provide educational content that better suits their interests.

[0116] Return to reference Figure 2 In operation S250, the user satisfaction and acceptance are sent to the manager, and the monitoring results and management decisions of the virtual classroom operation status returned by the manager are obtained.

[0117] Figure 6 The flowchart of the method for sending user satisfaction and acceptance to a manager according to an embodiment of the present invention is schematically shown.

[0118] like Figure 6 As shown, the method of sending user satisfaction and acceptance to a manager in this embodiment may include operations S610 to S620, and operations S610 to S620 may at least partially execute operation S250.

[0119] In operation S610 , a visualization dashboard is generated based on user satisfaction and acceptance.

[0120] In an embodiment of the present invention, complex data sets can be converted into intuitive, easy-to-understand graphs and charts, so that managers can quickly grasp key information, such as overall trends in user satisfaction and acceptance, problem areas, advantages, etc. Specifically, data visualization tools can be used to design and generate dashboards. This includes selecting appropriate chart types (such as bar charts, line charts, heat maps, etc.) to represent different data dimensions and relationships, configuring data sources, and setting dynamic filters and interactive elements to enhance the functionality and user experience of the dashboard.

[0121] In operation S620, the visualization dashboard is sent to the manager through a secure enterprise-level file sharing service. That is, a secure file sharing platform is selected to transmit the dashboard. These services usually provide advanced security and control functions, such as end-to-end encryption, access control, and audit logs to ensure the security and compliance of data transmission. At the same time, appropriate access rights can also be configured to ensure that only authorized managers can access these dashboards, such as setting password protection, two-factor authentication and other security measures.

[0122] In addition, the embodiments of the present invention also provide a method for dynamically updating the content and difficulty settings of an educational scenario according to the decision of an administrator.

[0123] Figure 7 A flowchart of a method for dynamically updating the content and difficulty setting of an educational scene according to an embodiment of the present invention is schematically shown.

[0124] like Figure 7 As shown, the method for dynamically updating the content and difficulty setting of the educational scene in this embodiment may include operations S710 to S730.

[0125] In operation S710, based on the management decision, the teaching content and difficulty setting of the target educational scenario are updated. For example, it may include:

[0126] 1. User investment defect diagnosis: The system can provide users with investment defect diagnosis functions. Through self-selected list modules, self-selected scoring modules, general trend ability diagnosis modules and trading ability diagnosis modules, it helps users understand the weak links of their investment capabilities and conduct targeted learning and improvement;

[0127] 2. Customized data collection: The system can conduct professional customized data collection according to the specific needs of users, including determining the field requirements that customers need to collect, determining the pages and platforms for collecting data sources, displaying collected data, cleaning data and removing duplication, etc., to ensure the accuracy and timeliness of data;

[0128] 3. Intelligent financial transaction monitoring system: The system can use machine learning algorithms to build an intelligent model engine to perform anomaly detection and status monitoring, risk management and optimization, multimodal intelligent agent system, real-time monitoring and feedback, self-learning and optimization, etc., to achieve efficient intelligent financial transaction monitoring;

[0129] 4. User suitability management: The system can establish a suitability big data application implementation path guided by "data first, technology empowerment, and institutional guarantee", strengthen data sharing and circulation, promote market-oriented allocation of factors, optimize the multi-dimensional user evaluation database, strengthen information sharing, and use scientific and technological means to provide users with "precise portraits", optimize asset portfolio allocation, actively manage risks, and create differentiated competitive advantages;

[0130] 5. Automatic identification of user types: The system can extract user features through artificial intelligence algorithms and analyze the time series of events such as user transactions to identify different types of users, such as large investors, retail investors, and programmatic traders, and provide corresponding identification model evaluation parameters.

[0131] In operation S720, updated virtual feature data of the user in the updated target educational scenario is re-collected, and a real-time analysis of the user's emotional state is performed to obtain updated user satisfaction and acceptance.

[0132] In operation S730, an updated optimization result is generated based on the updated user satisfaction and acceptance. In combination with the re-collected data and the emotional state analysis results, the updated user satisfaction and acceptance can be evaluated, thereby allowing education managers to continuously optimize teaching content and methods based on actual data and feedback.

[0133] Figure 8 The flowchart of the method for constructing a virtual classroom system according to an embodiment of the present invention is schematically shown.

[0134] like Figure 8 As shown, the effect display method applied to the target marketing activity of this embodiment may include operations S810 to S840.

[0135] In operation S810, a physical layer is constructed, including configuring a mobile communication network, an immersive learning device, and a biometric data collection device.

[0136] In an embodiment of the present invention, Fig.9A As shown in the figure, the construction of the physical layer can mainly involve the following key components and steps:

[0137] 1. Build a 5G network, including 5G base station construction and upgrade and optimize the existing mobile communication network to ensure that the network can handle large amounts of data transmission. Configure hardware in a 5G network coverage environment and deploy a virtual-real fusion central server;

[0138] 2. Equip immersive learning devices, select appropriate VR helmets and accessories, and ensure that all immersive learning devices are compatible with 5G networks and other system components, and configure necessary software and drivers to support a seamless VR experience;

[0139] 3. Deploy biological data collection equipment, which may include heart rate monitoring belts, skin electrical sensors, eye trackers, etc., to detect changes in the user's sense of immersion, concentration, flow experience, etc. when the user is immersed in the environment.

[0140] In addition, for non-immersive users (such as those using for the purpose of visiting or touring), multi-channel devices can be configured for access. For example, wireless devices such as smartphones and tablets can be used to directly access the server, or high-performance computers can be used to access the server through web pages, or wired streaming connections can be made directly to the server for access.

[0141] It should be noted that in the process of building the physical layer, it should be taken into account that the devices and networks involved may process sensitive data, and strict security measures such as data encryption and security authentication need to be implemented to prevent data leakage or unauthorized access. Before actual deployment, the entire system should be thoroughly tested for performance to ensure that all components can work stably under high load, and necessary optimization should be performed based on the test results.

[0142] In operation S820, a software layer is configured, including configuring virtual reality streaming software and a digital distribution platform on the source device and the target device, wherein the digital distribution platform is used to achieve real-time synchronization and transmission of virtual reality content.

[0143] In an embodiment of the present invention, Fig. 9B As shown, the software layer may include VR software system, content development tools, digital distribution platform, back-end database, and graphical user interface and application.

[0144] Among them, the VR software system is the core of the virtual reality education environment, responsible for processing the rendering of VR content, user input processing and the interaction logic of VR scenes; content development tools are used to develop interactive 3D content and virtual environments; the digital distribution platform is a key component for realizing VR content distribution and management; the back-end database is used to store user data, learning progress, interaction records and other education-related data, providing the system with structured data storage, query and management functions; the graphical user interface and application are the front end of user interaction, supporting navigation, interaction and user management of educational content.

[0145] In an embodiment of the present invention, the virtual reality streaming software is responsible for transmitting the processed virtual reality content to the user's target device, such as a VR helmet, in real time. Therefore, it is required to be able to handle high data volumes and maintain low-latency transmission. In a 5G network environment, VR streaming software can be installed on each computer used by the user to achieve synchronous transmission of VR images and computer images. Furthermore, since wireless streaming is highly dependent on network speed, and when the number of simultaneous access users increases, it will cause network jams, so a wired streaming method can be used.

[0146] In operation S830, an application layer is implemented to create digital identities of stakeholders and multiple educational scenes based on virtual reality technology, so that the stakeholders can interact in a virtual interactive platform in the educational scene.

[0147] In operation S840, an analysis layer is constructed, where the analysis layer is used to perform real-time analysis of the user's emotional state on the virtual reality feature data obtained from the physical layer and the application layer.

[0148] According to the virtual classroom management method provided by the present invention, by creating a digital identity and using a virtual interactive platform, users and instructors can interact and communicate in real time in an immersive environment. This method simulates the interactivity of traditional classrooms, but can break through geographical and physical limitations in a virtual environment, thereby improving user acceptance; at the same time, by collecting virtual reality feature data of users in the target educational scenario, real-time feedback can be provided to managers, so that teaching strategies can be adjusted in real time to better adapt to the user's learning rhythm and improve teaching effectiveness, thereby improving user experience and timely responsiveness. Specifically, it brings the following beneficial effects:

[0149] 1. Virtual reality technology creates a multi-sensory learning environment by providing visual, auditory and tactile feedback. This not only increases the attractiveness of financial marketing, but also improves user engagement and information absorption rate;

[0150] 2. By creating digital identities and collecting user behavior and physiological data, the system can achieve real-time interaction and provide instant feedback, improving overall responsiveness;

[0151] 3. By configuring 5G networks and high-performance immersive learning devices such as VR helmets and bio-data collection devices, the system ensures seamless video streaming and data transmission, reduces delays and interruptions, and provides a smooth user experience;

[0152] 4. By analyzing behavioral data, teachers and systems can better understand students’ learning habits and difficulties and adjust teaching strategies accordingly; physiological signal data provides intuitive information about students’ emotions and engagement levels, which helps to evaluate the impact of teaching content;

[0153] 5. Strengthen management's understanding of the operating status of educational projects, support data-based decision-making, and ensure the security and compliance of information processing and transmission processes.

[0154] Fig.10 The structure block diagram of the virtual classroom management device applied to the server according to the embodiment of the present invention is schematically shown.

[0155] like Fig.10 As shown, the virtual classroom management device 1000 according to this embodiment includes a virtual interactive platform providing module 1010 , a digital identity creating module 1020 , a feature data collecting module 1030 , a real-time analyzing module 1040 , and a classroom management module 1050 .

[0156] The virtual interactive platform providing module 1010 may be used to provide a virtual interactive platform based on the target educational scenario in response to the user selecting the target educational scenario. In one embodiment, the virtual interactive platform providing module 1010 may be used to perform the operation S210 described above, which will not be described in detail herein.

[0157] The digital identity creation module 1020 can be used to create digital identities for users, instructors, and administrators, respectively, and the digital identities are used to enable users and instructors to interact and communicate in real time on the virtual interactive platform. In one embodiment, the digital identity creation module 1020 can be used to perform the operation S220 described above, which will not be repeated here.

[0158] The feature data collection module 1030 may be used to collect virtual reality feature data of the user in the target education scene in response to the user logging into the virtual interaction platform using a corresponding digital identity. In one embodiment, the feature data collection module 1030 may be used to perform the operation S230 described above, which will not be described in detail here.

[0159] The real-time analysis module 1040 can be used to perform real-time analysis of the user's emotional state based on the virtual reality feature data to obtain user satisfaction and acceptance. In one embodiment, the real-time analysis module 1040 can be used to perform the operation S240 described above, which will not be repeated here.

[0160] The classroom management module 1050 can be used to send the user satisfaction and acceptance to the administrator, and obtain the monitoring results and management decisions of the virtual classroom operation status returned by the administrator. In one embodiment, the classroom management module 1050 can be used to perform the operation S250 described above, which will not be repeated here.

[0161] According to an embodiment of the present invention, the real-time analysis module 1040 may include a behavior recognition module, a physiological recognition module and a recognition result integration unit.

[0162] The behavior recognition module can be used to identify the user's activity and participation depth in the educational content based on the behavior data to obtain a first recognition result. In one embodiment, the behavior recognition module can be used to perform the operation S310 described above, which will not be repeated here.

[0163] The physiological recognition module may be used to perform emotion recognition and attention assessment based on the physiological signal data to obtain a second recognition result. In one embodiment, the physiological recognition module may be used to perform the operation S320 described above, which will not be described in detail herein.

[0164] The recognition result integration unit may be used to integrate the first recognition result and the second recognition result to obtain the user satisfaction and acceptance. In one embodiment, the recognition result integration unit may be used to perform the operation S330 described above, which will not be described in detail herein.

[0165] According to an embodiment of the present invention, the behavior recognition module may include a quantitative analysis unit and an impact analysis unit.

[0166] The quantitative analysis unit may be used to perform quantitative analysis based on the frequency, duration and participation index of the interaction to identify the user's interest in and likelihood of involvement in the educational content. In one embodiment, the quantitative analysis unit may be used to perform the operation S410 described above, which will not be described in detail herein.

[0167] The influence analysis unit may be used to analyze the comprehensive influence of the interest and involvement possibility on the learning effect to obtain the first recognition result. In one embodiment, the influence analysis unit may be used to perform the operation S420 described above, which will not be described in detail here.

[0168] According to an embodiment of the present invention, the physiological recognition module may include a collection unit, a preprocessing unit, an input unit and an effect analysis unit.

[0169] The acquisition unit may be used to acquire the original physiological signal data transmitted by the physiological signal data acquisition device authorized in advance by the user. In one embodiment, the acquisition unit may be used to perform the operation S510 described above, which will not be described in detail here.

[0170] The preprocessing unit may be used to preprocess the original physiological signal data to extract key physiological parameters. In one embodiment, the preprocessing unit may be used to perform the operation S520 described above, which will not be described in detail here.

[0171] The input unit can be used to input the key physiological parameters into a pre-built emotional state recognition model and an attention level assessment model, and output emotional state possibility and attention level assessment results. In one embodiment, the input unit can be used to perform the operation S530 described above, which will not be repeated here.

[0172] The effect analysis unit may be used to analyze the combined effect of the emotional state possibility and the attention level evaluation result on the learning effect to obtain the second recognition result. In one embodiment, the effect analysis unit may be used to perform the operation S540 described above, which will not be described in detail here.

[0173] According to an embodiment of the present invention, the classroom management module 1050 may include a visualization dashboard generating unit and a sending unit.

[0174] The visualization dashboard generation unit may be used to generate a visualization dashboard based on user satisfaction and acceptance. In one embodiment, the visualization dashboard generation unit may be used to perform the operation S610 described above, which will not be described in detail herein.

[0175] The sending unit may be used to send the visualization dashboard to the administrator via a secure enterprise-level file sharing service. In one embodiment, the sending unit may be used to perform the operation S620 described above, which will not be described in detail herein.

[0176] According to an embodiment of the present invention, the virtual classroom management device 1000 may further include a dynamic update module.

[0177] According to an embodiment of the present invention, the dynamic update module may include a scene update unit, a re-collection unit and an update evaluation unit.

[0178] The scene updating unit may be used to update the teaching content and difficulty setting of the target education scene based on the management decision. In one embodiment, the scene updating unit may be used to perform the operation S710 described above, which will not be described in detail here.

[0179] The re-collection unit can be used to re-collect the updated virtual feature data of the user in the updated target education scene, and perform real-time analysis of the user's emotional state to obtain the updated user satisfaction and acceptance. In one embodiment, the re-collection unit can be used to perform the operation S720 described above, which will not be repeated here.

[0180] The update evaluation unit may be used to generate an update optimization result based on the updated user satisfaction and acceptance. In one embodiment, the update evaluation unit may be used to perform the operation S730 described above, which will not be described in detail herein.

[0181] According to an embodiment of the present invention, any multiple modules of the virtual interactive platform providing module 1010, the digital identity creation module 1020, the feature data collection module 1030, the real-time analysis module 1040, and the classroom management module 1050 can be combined into one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module. According to an embodiment of the present invention, at least one of the virtual interactive platform providing module 1010, the digital identity creation module 1020, the feature data collection module 1030, the real-time analysis module 1040, and the classroom management module 1050 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware, and firmware or in a suitable combination of any of them. Alternatively, at least one of the virtual interactive platform providing module 1010, the digital identity creating module 1020, the characteristic data collecting module 1030, the real-time analysis module 1040, and the classroom management module 1050 may be at least partially implemented as a computer program module, which may perform corresponding functions when the computer program module is executed.

[0182] Fig.11 A block diagram of an electronic device suitable for a virtual classroom management method according to an embodiment of the present invention is schematically shown.

[0183] like Fig.11 As shown, the electronic device 1100 according to an embodiment of the present invention includes a processor 1101, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1102 or a program loaded from a storage part 1108 to a random access memory (RAM) 1103. The processor 1101 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 1101 may also include an onboard memory for caching purposes. The processor 1101 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.

[0184] In RAM 1103, various programs and data required for the operation of electronic device 1100 are stored. Processor 1101, ROM 1102 and RAM 1103 are connected to each other via bus 1104. Processor 1101 performs various operations of the method flow according to the embodiment of the present invention by executing the program in ROM 1102 and / or RAM 1103. It should be noted that the program can also be stored in one or more memories other than ROM 1102 and RAM 1103. Processor 1101 can also perform various operations of the method flow according to the embodiment of the present invention by executing the program stored in the one or more memories.

[0185] According to an embodiment of the present invention, the electronic device 1100 may further include an input / output (I / O) interface 1105, which is also connected to the bus 1104. The electronic device 1100 may further include one or more of the following components connected to the I / O interface 1105: an input portion 1106 including a keyboard, a mouse, etc.; an output portion 1107 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 1108 including a hard disk, etc.; and a communication portion 1109 including a network interface card such as a LAN card, a modem, etc. The communication portion 1109 performs communication processing via a network such as the Internet. A drive 1110 is also connected to the I / O interface 1105 as needed. A removable medium 1111, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 1110 as needed, so that a computer program read therefrom is installed into the storage portion 1108 as needed.

[0186] The present invention also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiment; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present invention is implemented.

[0187] According to an embodiment of the present invention, the computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, may include but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus or a device. For example, according to an embodiment of the present invention, the computer-readable storage medium may include the ROM 1102 and / or RAM 1103 described above and / or one or more memories other than ROM 1102 and RAM 1103.

[0188] The embodiment of the present invention also includes a computer program product, which includes a computer program, and the computer program contains program code for executing the method shown in the flowchart. When the computer program product is run in a computer system, the program code is used to enable the computer system to implement the method provided by the embodiment of the present invention.

[0189] The computer program executes the above functions defined in the system / device of the embodiment of the present invention when it is executed by the processor 1101. According to the embodiment of the present invention, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0190] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of signals on a network medium, and downloaded and installed through the communication part 1109, and / or installed from a removable medium 1111. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0191] In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 1109, and / or installed from the removable medium 1111. When the computer program is executed by the processor 1101, the above functions defined in the system of the embodiment of the present invention are performed. According to the embodiment of the present invention, the system, device, means, module, unit, etc. described above can be implemented by a computer program module.

[0192] According to an embodiment of the present invention, the program code for executing the computer program provided by the embodiment of the present invention can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (e.g., using an Internet service provider to connect through the Internet).

[0193] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0194] The embodiments of the present invention are described above. However, these embodiments are only for the purpose of illustration, and are not intended to limit the scope of the present invention. Although each embodiment is described above, it does not mean that the measures in each embodiment cannot be used in combination advantageously. Without departing from the scope of the present invention, those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present invention.

Claims

1. A virtual classroom management method, characterized in that: The method comprises: In response to a user selecting a target educational scenario, providing a virtual interactive platform based on the target educational scenario; Creating digital identities for users, instructors and administrators respectively, wherein the digital identities are used to enable users and instructors to interact and communicate in real time on the virtual interactive platform; In response to the user logging into the virtual interactive platform using the corresponding digital identity, collecting virtual reality feature data of the user in the target educational scene; Performing real-time analysis of the user's emotional state based on the virtual reality feature data to obtain user satisfaction and acceptance; and The user satisfaction and acceptance are sent to the manager, and the monitoring results and management decisions of the virtual classroom operation status returned by the manager are obtained.

2. The method according to claim 1, characterized in that The virtual reality feature data includes the user's behavior data and physiological signal data in the target education scene, The real-time analysis of the user's emotional state based on the virtual reality feature data to obtain user satisfaction and acceptance specifically includes: Based on the behavior data, identifying the user's activity and participation depth in the educational content to obtain a first identification result; Performing emotion recognition and attention assessment based on the physiological signal data to obtain a second recognition result; and The first recognition result and the second recognition result are integrated to obtain the user satisfaction and acceptance.

3. The method according to claim 2, characterized in that The performing emotion recognition and attention assessment based on the physiological signal data to obtain a second recognition result specifically includes: Acquiring raw physiological signal data transmitted by a physiological signal data acquisition device authorized in advance by a user; Preprocessing the raw physiological signal data to extract key physiological parameters; Inputting the key physiological parameters into a pre-built emotional state recognition model and an attention level assessment model, respectively, and outputting emotional state possibility and attention level assessment results; and The combined influence of the emotional state possibility and the attention level evaluation result on the learning effect is analyzed to obtain the second recognition result.

4. The method according to claim 2, characterized in that: The behavioral data includes the frequency, duration and engagement metrics of interactions. The identifying, based on the behavior data, the user's activity and participation depth in the educational content to obtain a first identification result specifically includes: Performing quantitative analysis based on the frequency, duration and engagement metrics of the interactions to identify the user's interest in and likelihood of engagement with the educational content; and The comprehensive influence of the interest and involvement possibility on the learning effect is analyzed to obtain the first recognition result.

5. The method according to any one of claims 1 to 4, characterized in that: The sending of the user satisfaction and acceptance to the manager specifically includes: generating a visualization dashboard based on the user satisfaction and acceptance; and The visualization dashboard is sent to managers via a secure enterprise-grade file sharing service.

6. The method according to claim 5, characterized in that After obtaining the monitoring results and management decisions of the virtual classroom operation status returned by the manager, the method further includes: Based on the management decision, update the teaching content and difficulty setting of the target education scenario; Re-collecting updated virtual feature data of the user in the updated target education scenario, and performing real-time analysis of the user's emotional state to obtain updated user satisfaction and acceptance; and Generate update optimization results based on updated user satisfaction and acceptance.

7. A method for constructing a virtual classroom system, characterized in that: The method comprises: Building the physical layer, including configuring mobile communication networks, immersive learning devices, and biometric data collection equipment; Configuring the software layer, including configuring virtual reality streaming software and a digital distribution platform on the source device and the target device, wherein the digital distribution platform is used to achieve real-time synchronization and transmission of virtual reality content; Implementing an application layer for creating digital identities of stakeholders and multiple educational scenarios based on virtual reality technology, so that the stakeholders can interact in a virtual interactive platform in the educational scenario; and An analysis layer is constructed, wherein the analysis layer is used to perform real-time analysis of the user's emotional state on the virtual reality feature data obtained from the physical layer and the application layer.

8. The method according to claim 7, characterized in that Configure VR streaming software, including: Based on the wired streaming method, virtual reality streaming software is configured on the source device and the target device.

9. The method according to claim 7, characterized in that: The biological data collection device includes a heart rate monitoring belt, a skin electrode activity sensor and an eye tracker. The biological data collection device is used to collect physiological parameters of the user, and the physiological parameters are used to analyze the emotional state of the user.

10. A virtual classroom management device, characterized in that: The device comprises: A virtual interactive platform providing module, used to: in response to a user selecting a target educational scenario, provide a virtual interactive platform based on the target educational scenario; A digital identity creation module is used to: create digital identities for users, instructors and administrators respectively, and the digital identities are used to enable users and instructors to interact and communicate in real time on the virtual interactive platform; A feature data collection module, used to: in response to a user logging into the virtual interactive platform using a corresponding digital identity, collect virtual reality feature data of the user in the target educational scene; A real-time analysis module, used to: perform real-time analysis of the user's emotional state based on the virtual reality feature data to obtain user satisfaction and acceptance; and The classroom management module is used to send the user satisfaction and acceptance to the manager, and obtain the monitoring results and management decisions of the virtual classroom operation status returned by the manager.

11. A virtual classroom system, characterized in that: The system comprises: The physical layer, including mobile communication networks, immersive learning devices, and bio-data collection devices; A software layer, including virtual reality streaming software and a digital distribution platform configured on a source device and a target device, wherein the digital distribution platform is used to achieve real-time synchronization and transmission of virtual reality content; An application layer, for: creating digital identities of stakeholders and multiple educational scenarios, so that the stakeholders can interact in a virtual interactive platform in the educational scenarios; and The analysis layer is used to: perform real-time analysis of the user's emotional state on the virtual reality feature data obtained from the physical layer and the application layer.

12. An electronic device comprising: one or more processors; a storage device for storing one or more computer programs, It is characterized in that the one or more processors execute the one or more computer programs to implement the steps of the method according to any one of claims 1 to 9.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 9 are implemented.

14. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 9 are implemented.

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