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AI-ENHANCED ADAPTIVE INTERACTIVE NARRATIVE SYSTEM FOR DEVELOPING LISTENING SKILLS AND LANGUAGE PROFICIENCY
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Abstract
Information
Inventors
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Specification
Documents
ORDINARY APPLICATION
Published
Filed on 6 November 2024
Abstract
This invention introduces an AI-powered interactive language-learning platform designed to enhance listening skills and language proficiency through adaptive storytelling, real-time speech analysis, contextual vocabulary-building, gamification, and cultural integration. The system employs a dynamic narrative structure, adjusting the storyline complexity and progression based on the learner’s spoken responses and language proficiency level. Using real-time speech analysis, the platform provides feedback on pronunciation, intonation, and fluency, allowing users to refine their spoken language skills in real-time. Vocabulary is introduced contextually within the narrative, with options for learners to review definitions and usage examples. Gamification elements, such as badges, challenges, and level progression, encourage sustained engagement and motivate consistent learning. Finally, cultural relevance is woven into the storyline, providing idiomatic expressions, cultural references, and real-life scenarios to deepen the learner’s understanding of native conversational style and context. This invention offers a comprehensive language-learning solution that leverages AI to deliver an adaptive, immersive, and effective language acquisition experience.
Patent Information
Application ID | 202441085052 |
Invention Field | ELECTRONICS |
Date of Application | 06/11/2024 |
Publication Number | 46/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Johnknox T | Research Scholar, Department of English & Foreign Languages, Faculty of Engineering and Technology, SRMIST, Kattankulathur, 603203 | India | India |
Dr. E. PARAMAGURU | ASSISTANT PROFESSOR, SCIENCE & HUMANITIES (ENGLISH), VEL TECH HIGH TECH Dr.RANGARAJAN Dr.SAKUNTHALA ENGINEERING COLLEGE. AVADI, CHENNAI 600062 | India | India |
Dr. N. MARYANNA HARRIS | Assistant professor & Head, Department of English, Christ Arts and Science College, Kilachery, Thiruvallur 631402 | India | India |
Annie Vimala D | Assistant Professor, Department of English, Faculty of Science and Humanities, SRMIST, Kattankulathur. | India | India |
Dr. P. Jayakumar | Assistant Professor of English, St. Joseph’s College of Engineering, OMR, Chennai, Tamil Nadu, India - 600119 | India | India |
Abirami T | Department of English Faculty of Science and Humanities, SRM Institute of Science and Technology, Kattankulathur | India | India |
Dr Lourdes Antoinette Shalini | Guest Faculty in English School of Education (ITEP) Pondicherry University Kalapet 605014 | India | India |
Deeksha Kamath | Assistant Professor Department of Humanities, PES Institute of Technology and Management, Shivamogga, Karnataka 577204 | India | India |
Dr. M. MUTHUVEL | Assistant Professor in English, Virudhunagar Hindu Nadars’ Senthikumara Nadar College (Autonomous), Virudhunagar 626001 | India | India |
Dr. A. Greeni | Assistant Professor of English St. Martin’s Engineering College Dhulapally, Secunderabad | India | India |
Mr. P. VAIRAMANI | Assistant Professor Department of English Kamaraj College of Engineering and Technology (Autonomous) S.P.G.Chidambara Nadar, C.Nagammal Campus, Vellakulam 625701 | India | India |
Mr. S. PRADEEP KUMAR | Assistant Professor Department of English Kamaraj College of Engineering and Technology (Autonomous) S.P.G.Chidambara Nadar, C.Nagammal Campus, Vellakulam 625701 | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
Johnknox T | Research Scholar, Department of English & Foreign Languages, Faculty of Engineering and Technology, SRMIST, Kattankulathur, 603203 | India | India |
Dr. E. PARAMAGURU | ASSISTANT PROFESSOR, SCIENCE & HUMANITIES (ENGLISH), VEL TECH HIGH TECH Dr.RANGARAJAN Dr.SAKUNTHALA ENGINEERING COLLEGE. AVADI, CHENNAI 600062 | India | India |
Dr. N. MARYANNA HARRIS | Assistant professor & Head, Department of English, Christ Arts and Science College, Kilachery, Thiruvallur 631402 | India | India |
Annie Vimala D | Assistant Professor, Department of English, Faculty of Science and Humanities, SRMIST, Kattankulathur. | India | India |
Dr. P. Jayakumar | Assistant Professor of English, St. Joseph’s College of Engineering, OMR, Chennai, Tamil Nadu, India - 600119 | India | India |
Abirami T | Department of English Faculty of Science and Humanities, SRM Institute of Science and Technology, Kattankulathur | India | India |
Dr Lourdes Antoinette Shalini | Guest Faculty in English School of Education (ITEP) Pondicherry University Kalapet 605014 | India | India |
Deeksha Kamath | Assistant Professor Department of Humanities, PES Institute of Technology and Management, Shivamogga, Karnataka 577204 | India | India |
Dr. M. MUTHUVEL | Assistant Professor in English, Virudhunagar Hindu Nadars’ Senthikumara Nadar College (Autonomous), Virudhunagar 626001 | India | India |
Dr. A. Greeni | Assistant Professor of English St. Martin’s Engineering College Dhulapally, Secunderabad | India | India |
Mr. P. VAIRAMANI | Assistant Professor Department of English Kamaraj College of Engineering and Technology (Autonomous) S.P.G.Chidambara Nadar, C.Nagammal Campus, Vellakulam 625701 | India | India |
Mr. S. PRADEEP KUMAR | Assistant Professor Department of English Kamaraj College of Engineering and Technology (Autonomous) S.P.G.Chidambara Nadar, C.Nagammal Campus, Vellakulam 625701 | India | India |
Specification
Description:The proposed AI-enhanced interactive language-learning platform is designed to deliver a personalized and immersive language-learning experience by integrating adaptive storytelling, real-time speech analysis, contextual vocabulary development, gamification, and culturally relevant content.
1. Adaptive Storytelling
At the core of the platform is an adaptive storytelling engine that tailors each narrative session to the user's language proficiency level and in-session responses. Upon initiating a session, users encounter a story that progresses according to their interactions, which are primarily verbal. The AI continuously assesses these verbal responses, adjusting the narrative's complexity and introducing story branches suited to the user's level. For beginners, the story might use simpler vocabulary and fewer complex sentences, while for advanced users, the storyline becomes more nuanced, incorporating idiomatic expressions and cultural references to increase difficulty.
2. Real-Time Speech Analysis and Feedback Mechanism
The system includes a speech analysis module that evaluates pronunciation, intonation, and fluency in real time. As the user speaks within the story context, the AI identifies areas for improvement, offering corrective suggestions if needed. For example, if a learner mispronounces a word, the platform may provide a visual or auditory cue to demonstrate the correct pronunciation, along with tips for articulating difficult sounds. This immediate feedback loop allows users to adjust their speech and practice correct pronunciations, facilitating active learning and engagement.
3. Contextual Vocabulary Building
Vocabulary development is achieved organically through the interactive narrative, wherein new words and phrases are introduced naturally within context. When learners encounter unfamiliar words, they can opt to view definitions, translations, and usage examples without disrupting the story flow. This contextualized approach helps users retain vocabulary effectively, as words are associated with specific story elements, making it easier to remember and apply them in practical conversations.
4. Gamification Elements
To enhance motivation and engagement, the platform incorporates gamified features, including progress badges, level advancement, and interactive challenges. As users navigate through story chapters and complete language tasks, they earn points, badges, or unlock new content, fostering a sense of achievement. Levels advance as learners meet specific language milestones, while challenges test their skills in areas like pronunciation, vocabulary recall, or listening comprehension, offering a varied and rewarding learning experience.
5. Cultural and Contextual Integration
An additional layer of language immersion is provided through culturally relevant content, which includes idiomatic expressions, cultural references, and practical conversational styles. The platform exposes learners to real-world language use by embedding culturally rich scenarios into the narrative. For instance, the story may involve scenarios typical of the target language's country, such as ordering food, navigating local customs, or engaging in social situations that require context-sensitive language. This cultural immersion prepares learners for authentic conversations, enabling them to grasp not only the language but also the context in which it is spoken. This invention thus offers a fully interactive and adaptable learning platform, meeting the needs of diverse language learners by combining AI-driven story adaptation, feedback mechanisms, and immersive language experiences.
, Claims:1. An AI-driven language-learning system providing an adaptive storytelling experience, dynamically adjusting narrative complexity based on user proficiency.
2. A real-time speech analysis module within the system that evaluates pronunciation, intonation, and fluency, providing immediate feedback.
3. A contextual vocabulary-building tool that introduces new words within narrative context, allowing users to access definitions and examples.
4. An adaptive storyline branching mechanism responding to user input, enhancing engagement and narrative personalization.
5. Gamification elements including progress badges, level advancement, and challenges, designed to promote consistent engagement.
6. Integration of culturally relevant content, exposing users to idiomatic expressions, cultural norms, and practical conversational language.
7. A user interface designed to allow seamless transitions between narrative, vocabulary assistance, and speech analysis tools.
8. A feedback module capable of delivering pronunciation tips and corrective actions for improved speech accuracy.
9. A proficiency tracking feature that adjusts content difficulty as users progress, adapting to language proficiency growth over time.
10. A platform framework enabling user interaction through voice input, enhancing listening comprehension and spoken language skills in real-time learning contexts.
Documents
Name | Date |
---|---|
202441085052-FORM-9 [09-11-2024(online)].pdf | 09/11/2024 |
202441085052-COMPLETE SPECIFICATION [06-11-2024(online)].pdf | 06/11/2024 |
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