English situational dialogue simulation training device supporting multi-person cooperation

Abstract

The invention provides an English situational dialogue simulation training device supporting multi-person cooperation, which relates to the field of language learning and is characterized by comprising a plurality of user terminals, a server and a situational database. The system has the advantages that an English dialogue environment in a real multi-person social scene is effectively simulated through cooperative operation of the multi-user terminal, the server and the scene database, so that learners can perform high-interactivity and high-simulation cooperative training in multi-role scenes such as business negotiation and airport inquiry; the practical application and the strain capacity of spoken language are obviously improved; meanwhile, by means of voice recognition, intelligent evaluation and dynamic difficulty adjustment modules, the system can analyze the performance of the learner in real time and provide personalized feedback, the limitation that a traditional teaching mode lacks real context and practice is overcome, the learning effect is deepened through recording playback and multi-view replay functions, and the learning efficiency is improved. Therefore, the language organization ability of the learner is comprehensively enhanced.

Description

Technical Field

[0001] This invention relates to the field of language learning, and in particular to an English situational dialogue simulation training device that supports multi-person collaboration. Background Technology

[0002] With the accelerating pace of globalization, English, as an international language, has become an indispensable core skill for individuals in education, the workplace, and cross-cultural communication. Traditional English teaching models generally rely on teacher lectures and students' rote recitation, focusing on the transmission of grammar and vocabulary knowledge, and seriously lacking interactivity and practicality in real-world contexts, making it difficult to effectively improve learners' actual oral expression and responsiveness.

[0003] While existing technologies include spoken language training systems based on virtual reality (VR), augmented reality (AR), or artificial intelligence (AI), most only support one-on-one dialogue with virtual characters, making it difficult to simulate multi-person collaborative communication in real social scenarios. Consequently, they cannot effectively support group-based collaborative English scenario training, such as multi-role scenarios like business negotiations, airport inquiries, and restaurant ordering. Furthermore, current technologies struggle to simulate such high-dimensional, highly interactive group-based collaborative spoken language training scenarios, leading to learners still facing adaptation difficulties in real social situations. Summary of the Invention

[0004] The purpose of this invention is to provide an English situational dialogue simulation training device that supports multi-person collaboration, which solves the problem that existing English oral training technologies are difficult to simulate real multi-person collaborative social scenarios, and breaks through the limitations of traditional single-person dialogue mode in high-dimensional, highly interactive group collaborative oral training.

[0005] To achieve the above-mentioned objectives, the technical solution adopted by this invention is as follows:

[0006] A multi-user collaborative English situational dialogue simulation training system is characterized by comprising: multiple user terminals, a server, and a situational database.

[0007] Multiple user terminals are used to access the network and interact with other user terminals in real time;

[0008] The server is used to process and distribute data from different user terminals, and selects the corresponding dialogue scenario from the scenario database according to the preset scenario and distributes it to each user terminal.

[0009] Multiple user terminals serve as entry points for learners to access the system, supporting various terminal types such as smartphones, tablets, and computers, allowing multiple users to be online simultaneously and interact in real time. Their function is to provide each participant with a role-playing interface, voice input / output channels, and a virtual scene visualization environment. The benefits include breaking geographical limitations, enabling collaborative oral training anytime, anywhere, and significantly improving language practice opportunities and teamwork skills in real social contexts. The server aims to address the lack of interactivity and practicality in authentic contexts in traditional teaching models. The scenario database stores a large number of structured, multi-role, and highly realistic English dialogue templates, covering typical cross-cultural communication scenarios such as business negotiations, airport inquiries, restaurant ordering, hotel check-in, and medical consultations. Its function is to provide the system with rich, authentic, and reusable training materials. The benefits include helping learners develop language organization, responsiveness, and cultural adaptation skills in realistic contexts, effectively compensating for the shortcomings of traditional teaching that emphasize knowledge over application.

[0010] As an improvement, the scenario database contains various types of English scenario dialogue templates, covering multiple role scenarios such as business negotiations, airport inquiries, and restaurant ordering.

[0011] Contextual databases allow users to train in realistic multi-person collaborative communication in virtual environments, thereby improving learners' adaptability in real social situations.

[0012] As an improvement, the system also includes a speech recognition module, which is used to recognize the user's spoken input in real time and convert it into text information for server processing and feedback, thereby helping to improve pronunciation accuracy and grammatical correctness.

[0013] The speech recognition module accurately converts the user's spoken English into text in real time, providing a data foundation for subsequent automatic evaluation and feedback. Its advantage lies in supporting high-accuracy pronunciation and semantic recognition, effectively separating and processing the voices of different characters even in complex environments with multiple speakers, thereby improving the system's ability to perceive and understand real dialogues.

[0014] As an improvement, the system also features an intelligent assessment module that can automatically score and provide feedback on participants' oral performance, pointing out grammatical errors, pronunciation problems, and areas for improvement, thereby enhancing learning efficiency.

[0015] The intelligent assessment module allows for quantitative scoring of learners' performance across multiple dimensions, including pronunciation accuracy, grammatical correctness, vocabulary appropriateness, contextual relevance, and collaborative fluency, generating personalized improvement suggestions. Its advantage lies in providing immediate, objective, and actionable feedback, replacing traditional methods that rely on subjective teacher evaluations, and helping learners independently diagnose problems and continuously optimize their expression skills.

[0016] As an improvement, the system supports dynamically adjusting the difficulty level of the dialogue and automatically optimizing the dialogue content based on the user's performance, ensuring that each learner receives an appropriate learning challenge and promoting the development of personalized learning paths.

[0017] A multi-person collaborative English situational dialogue simulation training device is characterized by including a situational management module for providing and managing preset English dialogue scenarios containing multiple role settings to enhance immersion and practicality.

[0018] As an improvement, the device also includes a user access and role assignment module, which is used to access at least two learner terminals and assign corresponding roles in the preset English dialogue scenario to each learner terminal, supporting cross-platform use and facilitating participation in training anytime and anywhere.

[0019] The scenario management and role assignment modules are responsible for loading preset scenarios, configuring role attributes (such as identity, task, and dialogue prompts), and assigning appropriate roles to each learner. This enhances immersion and engagement, enabling learners to engage in purposeful collaborative communication based on a clear understanding of their role responsibilities, thus more closely mimicking the complexity of real-world social interactions.

[0020] As an improvement, the device also includes a multi-user collaborative dialogue engine for building a shared virtual dialogue environment, synchronizing the voice data and dialogue status of all connected learner terminals in real time, and supporting real-time voice interaction between users of different roles based on the preset English dialogue scenario.

[0021] As an improvement, the device also includes a performance evaluation and feedback module, which evaluates the oral performance of at least one learner based on the content of the real-time voice interaction and generates feedback information to help learners make continuous progress through personalized feedback units.

[0022] As an improvement, the device also includes a recording and review module, which is used to record the entire process of the real-time voice interaction and the corresponding dialogue text, and supports learners to select any role's perspective for playback and annotation learning, further enhancing the learning effect.

[0023] The recording and review module records the entire dialogue audio, text, and interaction logs, and supports playback from the perspective of each role, highlighting key segments or errors. Its advantage lies in facilitating learners' post-lesson reflection, teacher feedback, or group discussions, extending the "practice-feedback-improvement" loop beyond training and significantly enhancing the depth and persistence of learning.

[0024] The beneficial effects of this invention are as follows: Through the collaborative operation of multiple user terminals, servers, and contextual databases, it effectively simulates the English dialogue environment in real multi-person social scenarios, enabling learners to conduct highly interactive and realistic collaborative training in multi-role scenarios such as business negotiations and airport inquiries, significantly improving their practical application and adaptability in spoken English. At the same time, with the help of speech recognition, intelligent assessment, and dynamic difficulty adjustment modules, the system can analyze learners' performance in real time and provide personalized feedback. This not only overcomes the limitations of traditional teaching models that lack real context and practice, but also deepens the learning effect through recording playback and multi-perspective review functions, thereby comprehensively enhancing learners' language organization ability, cross-cultural adaptability, and teamwork efficiency. Attached Figure Description

[0025] Figure 1 This is an overall architecture diagram of an English situational dialogue simulation training system that supports multi-person collaboration according to the present invention.

[0026] Figure 2 This is a flowchart of the multi-person collaborative English situational dialogue simulation training of the present invention.

[0027] Figure 3 This is a structural diagram of an English situational dialogue simulation training device that supports multi-person collaboration. Detailed Implementation

[0028] To make the content of this invention easier to understand, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Identical components are represented by the same reference numerals. It should be noted that the terms "front," "rear," "left," "right," "up," and "down" used in the following description refer to directions in the accompanying drawings, while the terms "inner" and "outer" refer to directions toward or away from the geometric center of a specific component, respectively.

[0029] like Figures 1 to 2 As shown, an English situational dialogue simulation training system supporting multi-user collaboration is characterized by comprising: multiple user terminals, a server, and a situational database; multiple user terminals are used to access the network and interact with other user terminals in real time; the server is used to process and distribute data from different user terminals, and select corresponding dialogue scenarios from the situational database according to preset scenarios and distribute them to each user terminal.

[0030] Multiple user terminals serve as entry points for learners to access the system, supporting various terminal types such as smartphones, tablets, and computers, allowing multiple users to be online simultaneously and interact in real time. Their function is to provide each participant with a role-playing interface, voice input / output channels, and a virtual scene visualization environment. The benefits include breaking geographical limitations, enabling collaborative oral training anytime, anywhere, and significantly improving language practice opportunities and teamwork skills in real social contexts. The server aims to address the lack of interactivity and practicality in authentic contexts in traditional teaching models. The scenario database stores a large number of structured, multi-role, and highly realistic English dialogue templates, covering typical cross-cultural communication scenarios such as business negotiations, airport inquiries, restaurant ordering, hotel check-in, and medical consultations. Its function is to provide the system with rich, authentic, and reusable training materials. The benefits include helping learners develop language organization, responsiveness, and cultural adaptation skills in realistic contexts, effectively compensating for the shortcomings of traditional teaching that emphasize knowledge over application.

[0031] like Figures 1 to 2 As shown, the scenario database contains various types of English situational dialogue templates, covering multiple role scenarios such as business negotiations, airport inquiries, and restaurant ordering. The system also includes a speech recognition module, which is used to recognize the user's spoken input in real time and convert it into text information for server processing and feedback, helping to improve pronunciation accuracy and grammatical correctness.

[0032] Furthermore, the contextual database allows users to train in realistic multi-person collaborative communication within a virtual environment, thereby improving learners' adaptability in real-world social situations. The speech recognition module accurately converts the user's real-time spoken English into text, providing a data foundation for subsequent automatic evaluation and feedback. Its advantage lies in supporting high-accuracy pronunciation and semantic recognition, effectively separating and processing the speech of each role even in complex environments with multiple speakers, thus enhancing the system's ability to perceive and understand real dialogues.

[0033] like Figures 1 to 2 As shown, the system also features an intelligent assessment module that automatically scores and provides feedback on participants' oral performance, pointing out grammatical errors, pronunciation problems, and areas for improvement to enhance learning efficiency. The system supports dynamically adjusting the difficulty level of dialogues, automatically optimizing dialogue content based on user performance to ensure each learner receives an appropriate learning challenge and promotes the development of personalized learning paths.

[0034] Secondly, the intelligent assessment module allows for quantitative scoring of learners' performance across multiple dimensions, including pronunciation accuracy, grammatical correctness, vocabulary appropriateness, contextual relevance, and collaborative fluency, generating personalized improvement suggestions. Its advantage lies in providing immediate, objective, and actionable feedback, replacing traditional teacher-centric subjective evaluations and helping learners self-diagnose problems and continuously optimize their expression skills.

[0035] like Figures 2 to 3 As shown, an English situational dialogue simulation training device supporting multi-person collaboration is characterized by including a scenario management module for providing and managing preset English dialogue scenarios containing multiple role settings to enhance immersion and practicality. The device also includes a user access and role assignment module for connecting at least two learner terminals and assigning corresponding roles in the preset English dialogue scenarios to each learner terminal, supporting cross-platform use and facilitating training anytime, anywhere.

[0036] The scenario management and role assignment modules are responsible for loading preset scenarios, configuring role attributes (such as identity, task, and dialogue prompts), and assigning appropriate roles to each learner. This enhances immersion and engagement, enabling learners to engage in purposeful collaborative communication based on a clear understanding of their role responsibilities, thus more closely mimicking the complexity of real-world social interactions.

[0037] like Figures 2 to 3 As shown, the device also includes a multi-user collaborative dialogue engine to build a shared virtual dialogue environment, synchronizing the voice data and dialogue status of all connected learner terminals in real time, and supporting real-time voice interaction between users of different roles based on preset English dialogue scenarios. The device also includes a performance evaluation and feedback module to evaluate the oral performance of at least one learner based on the content of the real-time voice interaction and generate feedback information, helping learners to continuously improve through personalized feedback units. The device also includes a recording and review module to record the entire process of the real-time voice interaction and the corresponding dialogue text, and allows learners to choose any role's perspective for playback and annotation, further enhancing the learning effect.

[0038] The recording and review module records the entire dialogue audio, text, and interaction logs, and supports playback from the perspective of each role, highlighting key segments or errors. Its advantage lies in facilitating learners' post-lesson reflection, teacher feedback, or group discussions, extending the "practice-feedback-improvement" loop beyond training and significantly enhancing the depth and persistence of learning.

[0039] In practice, multiple learners access the system via smartphones, tablets, or computers. The user access and role assignment module loads corresponding multi-role dialogue templates from the scenario database based on the selected scenario (such as business negotiation or ordering food at a restaurant) and assigns a specific role to each learner. Subsequently, the multi-person collaborative dialogue engine constructs a shared virtual dialogue environment, synchronizing voice data and dialogue status across all terminals in real time, supporting highly realistic English oral interaction among participants in preset scenarios. The speech recognition module converts each user's voice input into text in real time, allowing the intelligent evaluation module to automatically score from multiple dimensions such as pronunciation, grammar, vocabulary, scenario fit, and collaborative fluency, and generate personalized feedback. The system can also dynamically adjust the dialogue difficulty based on user performance to achieve personalized training. Simultaneously, the recording and review module records the entire process of voice, text, and interaction logs, allowing learners to replay, annotate, and reflect from any role's perspective, thus forming a complete learning loop of "practice-feedback-improvement."

[0040] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An English situational dialogue simulation training system supporting multi-person collaboration, characterized by, include: Multiple user terminals, servers, and contextual databases; The multiple user terminals are used to access the network and interact with other user terminals in real time; The server is used to process and distribute data from different user terminals, and selects the corresponding dialogue scenario from the scenario database according to the preset scenario and distributes it to each user terminal.

2. The English situational dialogue simulation training system supporting multi-person collaboration according to claim 1, characterized in that, The scenario database contains various types of English situational dialogue templates, covering multiple role scenarios such as business negotiations, airport inquiries, and restaurant ordering.

3. The English situational dialogue simulation training system supporting multi-person collaboration according to claim 2, characterized in that, The system also includes a speech recognition module, which is used to recognize the user's spoken input in real time and convert it into text information for server processing and feedback, helping to improve pronunciation accuracy and grammatical correctness.

4. The English situational dialogue simulation training system supporting multi-person collaboration according to claim 1, characterized in that, The system also has an intelligent assessment module that can automatically score and provide feedback on participants' oral performance, pointing out grammatical errors, pronunciation problems, and areas for improvement, thereby increasing learning efficiency.

5. The English situational dialogue simulation training system supporting multi-person collaboration according to claim 4, characterized in that, The system supports dynamically adjusting the difficulty level of dialogues and automatically optimizes dialogue content based on user performance, ensuring that each learner receives an appropriate learning challenge and promoting the development of personalized learning paths.

6. A multi-person collaborative English situational dialogue simulation training device, characterized in that, It includes a scenario management module for providing and managing preset English dialogue scenarios with multiple roles to enhance immersion and practicality.

7. The English situational dialogue simulation training device supporting multi-person collaboration according to claim 6, characterized in that, The device also includes a user access and role assignment module, which is used to access at least two learner terminals and assign corresponding roles in the preset English dialogue scenario to each learner terminal, supporting cross-platform use and facilitating participation in training anytime and anywhere.

8. The English situational dialogue simulation training device supporting multi-person collaboration according to claim 7, characterized in that, The device also includes a multi-user collaborative dialogue engine, which is used to build a shared virtual dialogue environment, synchronize the voice data and dialogue status of all connected learner terminals in real time, and support real-time voice interaction between users of different roles based on the preset English dialogue scenario.

9. The English situational dialogue simulation training device supporting multi-person collaboration according to claim 8, characterized in that, The device also includes a performance evaluation and feedback module, which is used to evaluate the oral performance of at least one learner based on the content of the real-time voice interaction and generate feedback information to help learners make continuous progress through personalized feedback units.

10. The English situational dialogue simulation training device supporting multi-person collaboration according to claim 9, characterized in that, The device also includes a recording and review module, which is used to record the entire process of the real-time voice interaction and the corresponding dialogue text, and supports learners to select any role's perspective for playback and annotation learning, further enhancing the learning effect.

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