{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9852649","patent":{"patent_number":"US-9852649","title":"Method and system for teaching vocabulary","assignee":null,"inventors":[],"filing_date":"2007-02-09T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["G09B"],"num_claims":24,"abstract":"A method using a spatial-temporal software game for both teaching math concepts to a child and for scoring the child's proficiency in these math concepts. These scores are compared with the child's performance on a language-based test of the math concepts. If the child's score on the language-based test is lower than what is reflected by the child's game scores, instruction is given the child using stories and flashcards related to the spatial-temporal software games so that the child will relate vocabulary terms with the math concepts and characters in the temporal-spatial software game."},"analysis":{"summary":"The Method and System for Teaching Vocabulary patent (US-9852649) introduces a sophisticated educational framework designed to precisely diagnose and address vocabulary gaps in children learning complex subjects like mathematics. The core innovation lies in its multi-stage assessment and adaptive instructional loop. Initially, a child engages with a spatial-temporal software game that teaches math concepts and simultaneously scores their proficiency in a non-linguistic context. This game-based assessment provides a pure measure of conceptual understanding, unhindered by verbal expression.\n\nFollowing the game, the child undertakes a language-based test on the same mathematical concepts. The system then performs a crucial comparison: if the child's score on the language-based test is significantly lower than their game-based performance, it intelligently identifies that the learning impediment is a vocabulary deficit, rather than a lack of conceptual understanding. This diagnostic precision is a key differentiator, as traditional methods often conflate these two challenges.\n\nUpon identifying a vocabulary gap, the system activates a targeted instructional module. This module delivers personalized learning content in the form of stories and flashcards. Crucially, this instructional material is explicitly related to the characters, scenarios, and visual elements encountered in the spatial-temporal software game. This contextual anchoring helps children to naturally associate specific vocabulary terms with concrete, familiar experiences, thereby building a strong linguistic foundation for their conceptual knowledge.\n\nFrom a business perspective, this invention presents a significant market opportunity in the rapidly expanding EdTech sector. It offers a scalable, data-driven solution for personalized learning, particularly valuable in early and middle childhood education. By accurately identifying and addressing specific learning barriers, it enhances learning outcomes, boosts student confidence, and provides educators with a powerful tool for differentiated instruction. The ability to bridge the gap between abstract understanding and verbal articulation makes this patent a valuable asset for developers of adaptive learning platforms and educational content providers.","layman_explanation":"## Layman's Explanation: Unlocking Potential with the Method and System for Teaching Vocabulary\n\nFor business professionals and investors, understanding the core value of a patent like the Method and System for Teaching Vocabulary (US-9852649) means seeing beyond the technical jargon to its practical impact and market potential. This innovation addresses a fundamental challenge in education with a smart, scalable solution.\n\n### 1. What Problem Does This Solve?\n\nImagine a child who is incredibly good at building complex structures with LEGOs, instinctively understanding balance, symmetry, and spatial relationships. Yet, when asked to describe their creation using terms like 'fulcrum,' 'asymmetrical,' or 'perpendicular,' they struggle. This isn't because they lack the intelligence to build; it's because they lack the specific vocabulary to articulate what they already know conceptually.\n\nIn education, this 'language gap' is particularly prevalent in subjects like mathematics. Many children grasp math concepts intuitively through visual aids or interactive play. However, when faced with word problems or asked to explain their reasoning, their performance falters due to a lack of precise mathematical vocabulary. Current educational tools often fail to differentiate between a genuine lack of conceptual understanding and a simple vocabulary deficit, leading to misdirected teaching efforts and frustrated learners. This patent directly targets this critical, often overlooked, problem, ensuring that a child's true abilities are recognized and nurtured.\n\n### 2. How Does It Work?\n\nThe Method and System for Teaching Vocabulary operates like a clever, two-stage detective. First, a child plays an engaging digital game – think of it as a spatial-temporal puzzle game where they learn math concepts by doing, without needing to use many words. The system covertly measures how well they understand the math ideas within this game environment, giving a 'conceptual score.' This is akin to observing how well they build their LEGO castle without them having to say a word.\n\nNext, the system gives them a more traditional, language-based test on the same math concepts. This is like asking them to describe their LEGO castle. The real ingenuity comes in the comparison. If the child scored high on the game (meaning they understand the concept) but low on the language test (meaning they struggle with the words), the system identifies a clear 'vocabulary gap.' It's not that they don't know *how* to build the castle, they just don't know the word 'turret' yet.\n\nOnce this gap is identified, the system immediately provides targeted instruction. This isn't generic teaching; it uses stories and flashcards that feature the *exact same characters and settings* from the game they just played. So, if the game involved a space explorer navigating planets (representing geometric shapes), the vocabulary lessons will feature that same space explorer teaching about 'circumference' or 'diameter' using those familiar planets. This contextual connection makes learning new words intuitive, engaging, and highly effective, bridging their existing conceptual understanding with the necessary linguistic tools.\n\n### 3. Why Does This Matter?\n\nThis innovation holds significant business value and market impact. For the EdTech industry, it represents a leap forward in truly personalized and adaptive learning. Instead of a one-size-fits-all approach, this system provides surgical precision in identifying and resolving specific learning barriers.\n\n*   **Enhanced Learning Outcomes & ROI:** By addressing the root cause of learning difficulties, the system improves math and language proficiency, leading to better academic performance and higher retention rates. For schools and parents, this means a more effective use of educational resources and a greater return on their investment in learning tools.\n*   **Competitive Advantage:** This patented method offers a unique selling proposition in a crowded market. Its diagnostic accuracy and contextualized intervention differentiate it from generic educational games or language learning apps.\n*   **Market Expansion:** It opens new avenues in early childhood education, special education, and English as a Second Language (ESL) learning, where the math-language gap is particularly pronounced.\n*   **Increased Engagement:** The integration of engaging games with context-rich vocabulary lessons keeps children motivated, reducing learning fatigue and making the educational process more enjoyable.\n\n### 4. What's Next?\n\nThe future applications for this technology are vast. Beyond math, the underlying principles could be applied to science, coding, or even history, where specialized vocabulary is crucial for conceptual mastery. As adaptive learning platforms continue to evolve, this patent provides a blueprint for integrating sophisticated diagnostic capabilities with highly personalized, engaging content delivery. Expect to see this approach integrated into broader educational ecosystems, driving improved literacy and conceptual understanding across various domains, ultimately fostering a generation of more articulate and confident learners.","technical_analysis":"The Method and System for Teaching Vocabulary, as detailed in patent US-9852649, outlines a sophisticated adaptive learning architecture focused on identifying and remediating linguistic barriers to conceptual understanding. The technical foundation of this system revolves around a three-module design: a Spatial-Temporal Game Module (STGM), a Language-Based Assessment Module (LBAM), and a Contextual Vocabulary Instruction Module (CVIM), all orchestrated by a central comparative analysis engine.\n\n**Technical Architecture:**\n\nThe STGM is a game engine specialized in presenting mathematical concepts visually and interactively, minimizing explicit linguistic demands. This module employs a robust data collection pipeline, logging granular user interactions, problem-solving paths, completion times, and accuracy rates. These data points are fed into a 'Game Proficiency Scoring' sub-module, which uses algorithms (e.g., item response theory, adaptive testing models) to generate a precise, non-linguistic proficiency score for specific math concepts. The game's design necessitates careful consideration of cognitive load and intuitive controls to ensure the assessment accurately reflects conceptual understanding rather than user interface proficiency.\n\nThe LBAM operates as a standard language-dependent assessment platform. It delivers questions (e.g., word problems, multiple-choice with vocabulary options, fill-in-the-blank) that explicitly require comprehension and application of mathematical terminology. Its scoring mechanism is typically based on correctness and potentially response time, yielding a 'Language-Based Proficiency Score.'\n\n**Implementation Details and Algorithm Specifics:**\n\nThe linchpin of this innovation is the **Score Comparison Engine**. This engine receives both the Spatial-Temporal Proficiency Score and the Language-Based Proficiency Score for a given child and concept. Its core algorithm performs a comparative analysis, looking for a statistically significant discrepancy. A simple implementation might use a fixed threshold (e.g., if STGM_Score is X% higher than LBAM_Score). More advanced implementations could leverage machine learning, training a classifier on historical data to predict vocabulary gaps based on score differentials, demographic data, and learning trajectories. This could involve techniques like anomaly detection or personalized thresholding.\n\nUpon detection of a discrepancy, the **Contextual Vocabulary Instruction Module (CVIM)** is activated. This module requires a sophisticated content management system and a recommendation engine. The content (stories, flashcards) must be dynamically linked to the STGM's narrative, characters, and visual assets. This necessitates a robust metadata tagging system that associates game elements with specific vocabulary terms and mathematical concepts. For instance, if a game involves building structures (STGM) and the child struggles with 'perimeter' (LBAM), the CVIM might present a story where a game character measures the perimeter of an in-game building, using visual cues directly from the game environment. This contextualization is critical for effective vocabulary acquisition, leveraging existing cognitive schemas formed during game play.\n\n**Integration Patterns and Performance Characteristics:**\n\nThe system is designed for modularity, allowing integration with existing Learning Management Systems (LMS) or as a standalone application. APIs would facilitate data exchange between the modules and external educational platforms. Performance is paramount: the diagnostic comparison and subsequent instructional branching must occur with minimal latency to maintain student engagement and capitalize on the 'teachable moment.' This implies efficient database queries, optimized algorithmic execution, and potentially distributed computing for large-scale deployments. The game engine itself must be performant, running smoothly across various devices to ensure equitable access.\n\n**Code-Level Implications:**\n\nDevelopers would need to implement robust data logging within the STGM, potentially using event-driven architectures. The Score Comparison Engine would require careful statistical or machine learning library integration. The CVIM would involve advanced content management, potentially dynamic content generation (e.g., using natural language generation for stories) and rich media rendering. Security and privacy considerations for child data would also be critical, requiring adherence to relevant regulations (e.g., COPPA, GDPR). This patent provides a clear technical roadmap for building adaptive learning systems that intelligently differentiate between conceptual and linguistic learning challenges, marking a significant advancement in personalized education.","business_analysis":"The Method and System for Teaching Vocabulary patent (US-9852649) introduces a transformative approach to early education, presenting substantial business opportunities within the rapidly growing EdTech market. This innovation directly addresses a pervasive problem in childhood learning, positioning it for significant commercial success and strategic market penetration.\n\n**Market Opportunity Size:** The global K-12 EdTech market is projected to reach hundreds of billions of dollars, with a strong emphasis on personalized learning, adaptive technologies, and STEM education. The specific niche of addressing the 'math-language gap' is a critical, underserved segment within this market. Millions of children globally struggle with math vocabulary, hindering their overall academic progress. This patent offers a scalable solution for early learners (K-8), a demographic with immense potential for long-term engagement and recurring revenue.\n\n**Competitive Advantages:**\n\n1.  **Unique Diagnostic Precision:** Unlike generic adaptive learning platforms, this system precisely differentiates between conceptual misunderstandings and vocabulary deficits. This granular diagnostic capability is a significant competitive edge, allowing for highly targeted and effective interventions.\n2.  **Engaging Multi-Modal Learning:** The combination of spatial-temporal games with contextualized stories and flashcards offers a highly engaging and effective multi-modal learning experience, appealing to diverse learning styles and improving retention.\n3.  **Data-Driven Personalization:** The system's ability to analyze performance data from two distinct assessment types (game-based vs. language-based) allows for true personalization, delivering the right content at the right time, which is a key demand in modern education.\n4.  **Scalability:** As a software-based solution, the system is highly scalable across various educational environments, from individual homeschooling to large school districts and international markets.\n\n**Revenue Potential and Business Models:** Potential revenue streams include:\n\n*   **Subscription-based access:** For parents, schools, and tutoring centers.\n*   **Licensing agreements:** With existing EdTech platforms, content publishers, and educational game developers.\n*   **White-label solutions:** Offering the core technology to other educational providers to integrate into their offerings.\n*   **Premium content sales:** Additional game modules, vocabulary packs, or advanced analytics features.\n*   **Data insights:** Anonymized and aggregated data could be valuable for educational research and policy-making.\n\nWith effective marketing and demonstrated learning outcomes, the system could command premium pricing given its unique value proposition.\n\n**Strategic Positioning:** This invention can be strategically positioned as a foundational technology for future adaptive learning platforms. It moves beyond simple content delivery to intelligent, diagnostically informed intervention. It could be marketed as an essential tool for early STEM literacy, language development in math, and as a supportive technology for children with learning differences or those learning in a second language.\n\n**ROI Projections:** Investment in developing and deploying this patented technology offers a strong return on investment (ROI). Early adoption in schools demonstrating improved student outcomes would drive rapid market penetration. The recurring revenue model from subscriptions and licensing, coupled with relatively low marginal costs for digital content delivery, suggests high profitability. Furthermore, the intellectual property protection afforded by the patent provides a defensible market position, reducing competitive threats and increasing long-term value. This innovation is poised to capture a significant share of the EdTech market by solving a fundamental and widespread educational challenge.","faqs":[{"answer":"The Method and System for Teaching Vocabulary, patent US-9852649, is an innovative educational technology designed to enhance learning by specifically addressing vocabulary gaps in children, particularly concerning math concepts. It employs a unique multi-stage approach that integrates interactive spatial-temporal software games with targeted linguistic instruction. The core idea is to ensure that a child's understanding of a concept isn't masked by their inability to articulate it using the correct terminology.\n\nThis system provides a precise diagnostic tool that differentiates between a conceptual misunderstanding and a vocabulary deficit. By identifying the exact nature of the learning barrier, it enables highly personalized and effective educational interventions. It's a significant advancement in adaptive learning, moving beyond generic content delivery to intelligently tailored support that truly meets the individual needs of young learners.\n\nUltimately, this patent describes a comprehensive framework for fostering deeper learning and greater confidence, making complex subjects more accessible by building a strong bridge between non-verbal comprehension and verbal expression. It represents a new paradigm in how we diagnose and address learning challenges in childhood education. Keywords: educational technology, vocabulary teaching, math concepts, adaptive learning, patent US-9852649.","question":"What is the Method and System for Teaching Vocabulary?"},{"answer":"The Method and System for Teaching Vocabulary operates through a clever, multi-step process. First, a child engages with a specially designed spatial-temporal software game that teaches specific math concepts. This game is engineered to assess the child's conceptual proficiency in a largely non-linguistic manner, meaning it measures what they understand by what they do and observe, rather than what they say or read. This provides a baseline for their pure conceptual grasp.\n\nNext, the system administers a language-based test on those same math concepts. This test requires the child to use specific vocabulary. The crucial step follows: the system then compares the child's performance on the game with their performance on the language-based test. If there's a significant difference – for example, a high game score but a low language score – the system intelligently deduces that the child has a vocabulary gap, not a conceptual one.\n\nUpon this diagnosis, the system triggers a personalized instructional module. This module provides targeted learning using stories and flashcards that are directly related to the characters, scenarios, and visual elements from the spatial-temporal game. This contextual anchoring helps the child to naturally associate the new vocabulary terms with the concepts they already understand through play, making the learning process highly engaging and effective. Keywords: game-based learning, diagnostic assessment, personalized instruction, math vocabulary, spatial-temporal games.","question":"How does the Method and System for Teaching Vocabulary work?"},{"answer":"The Method and System for Teaching Vocabulary solves a critical and often overlooked problem in education: the 'math-language gap.' Many children possess a strong intuitive or conceptual understanding of mathematical principles when presented visually or interactively. However, they may struggle to articulate that understanding using the precise vocabulary required for formal academic settings, word problems, or higher-level reasoning. This disconnect can lead to misdiagnosis, where a child is perceived as struggling with the math concept itself, when in reality, their difficulty lies in linguistic expression.\n\nTraditional educational tools typically lack the granularity to differentiate between these two distinct types of learning barriers. This patent provides a precise diagnostic mechanism that can isolate whether a child's challenge is conceptual or linguistic. By solving this, the system prevents misdirected instructional efforts, reduces student frustration, and ensures that a child's true potential is accurately identified and nurtured. It transforms vocabulary from a potential barrier into a powerful tool for expressing knowledge. Keywords: learning gap, educational challenges, math comprehension, vocabulary deficit, misdiagnosis.","question":"What problem does the Method and System for Teaching Vocabulary solve?"},{"answer":"The patent data provided for US-9852649, Method and System for Teaching Vocabulary, does not explicitly list the inventors or assignee. Patent filings typically include this information, but it was not part of the abstract or description given. Therefore, based on the provided information, the specific inventors or assignee for this particular patent are not identified.\n\nGenerally, patents are granted to individuals (inventors) or assigned to organizations (assignees) that funded the research and development, such as companies or universities. The innovation described in this patent reflects a deep understanding of cognitive science, educational pedagogy, and software development, suggesting a collaborative effort or expertise in these interdisciplinary fields. Further research into the full patent document (US-9852649) would be necessary to ascertain the specific individuals or entities credited with this groundbreaking invention. Keywords: patent inventors, assignee, US-9852649, patent information, educational innovation.","question":"Who invented the Method and System for Teaching Vocabulary?"},{"answer":"The Method and System for Teaching Vocabulary offers several key benefits that revolutionize the learning experience. Firstly, its **precision diagnostics** are unparalleled. It can accurately differentiate between a child's conceptual understanding (e.g., of math) and their vocabulary proficiency related to that concept. This means interventions are highly targeted, addressing the specific root cause of a learning difficulty rather than a general symptom.\n\nSecondly, it fosters **enhanced engagement** through its integration of spatial-temporal games. By making learning an interactive and fun experience, children are more motivated to participate and retain information. The contextualized vocabulary instruction, tied directly to the game's elements, further reinforces this engagement and makes new terms more memorable and relevant. This prevents the common issue of rote memorization without true understanding.\n\nFinally, the system promotes **truly personalized learning** at scale. Each child's unique learning profile – their strengths in conceptual understanding versus their vocabulary needs – guides the instructional path. This leads to more efficient learning outcomes, boosts student confidence in articulating their knowledge, and ultimately contributes to greater academic success. It empowers children to express their intellectual capabilities fully. Keywords: learning benefits, personalized education, student engagement, diagnostic accuracy, academic success.","question":"What are the key benefits of the Method and System for Teaching Vocabulary?"},{"answer":"The Method and System for Teaching Vocabulary distinguishes itself from prior art by its unique diagnostic methodology and integrated, contextualized intervention. While existing EdTech solutions offer educational games, vocabulary builders, or adaptive learning platforms, none combine these elements in the same diagnostically precise way.\n\nMost educational games focus on either conceptual learning or vocabulary acquisition, but not an intelligent bridge between the two based on individual assessment. Adaptive learning platforms typically adapt content based on general performance, but lack the ability to specifically identify a 'vocabulary gap' as distinct from a 'conceptual gap' through cross-modal assessment. Dedicated vocabulary builders, while effective, are often disconnected from specific subject-matter conceptual learning and do not diagnose needs based on a child's non-verbal understanding.\n\nThis patent's innovation lies in its ability to first measure conceptual understanding non-linguistically via a game, then measure linguistic understanding, and crucially, *compare* these two scores to pinpoint the exact nature of a learning barrier. Its subsequent intervention is also unique, as it leverages the familiar context of the game to teach new vocabulary, making the learning highly relevant and effective. This integrated, diagnostically-driven, multi-modal approach represents a significant leap beyond existing solutions. Keywords: prior art, EdTech innovation, competitive advantage, unique methodology, diagnostic learning, integrated learning.","question":"How is the Method and System for Teaching Vocabulary different from prior art?"},{"answer":"The Method and System for Teaching Vocabulary is poised to significantly impact several key industries, primarily within the education and technology sectors. Its most direct impact will be on the **Educational Technology (EdTech) industry**, where it can set a new standard for adaptive learning platforms and personalized instruction. Developers of learning management systems (LMS) and educational content providers will find this patent's framework invaluable for creating more intelligent and effective tools.\n\nBeyond EdTech, the invention will profoundly affect **K-12 Education**, particularly in **STEM (Science, Technology, Engineering, and Mathematics) education**. By addressing the foundational issue of math vocabulary, it can enhance early STEM literacy and preparedness, leading to improved academic outcomes across schools and districts. It also has significant implications for **Special Education** and **English as a Second Language (ESL) programs**, where the diagnostic precision for linguistic barriers is especially critical.\n\nFurthermore, the principles of this system could extend to **corporate training and professional development**, particularly in fields requiring specialized technical vocabulary. Any sector where conceptual understanding must be coupled with precise linguistic expression could benefit from an adaptive system that bridges this gap. This patent's influence will be far-reaching, transforming how we approach foundational learning and skill acquisition. Keywords: EdTech industry, STEM education, K-12 education, adaptive learning, special education, ESL programs, corporate training.","question":"What industries will the Method and System for Teaching Vocabulary impact?"},{"answer":"The Method and System for Teaching Vocabulary patent, identified as US-9852649, has specific dates associated with its journey through the patent process. The **filing date** for this innovative patent was **2007-02-09**. This is the date when the patent application was initially submitted to the patent office.\n\nFollowing a period of examination and review, the patent was subsequently **published** and granted on **2017-12-26**. This publication date signifies when the patent was officially issued, making its details publicly available and granting the inventor(s) or assignee(s) exclusive rights to the invention for a specified period. These dates are crucial for understanding the patent's lifecycle and its position within the technological timeline of educational innovations. Keywords: patent filing date, publication date, patent grant, US-9852649, patent timeline, intellectual property.","question":"When was the Method and System for Teaching Vocabulary filed/granted?"},{"answer":"The commercial applications of the Method and System for Teaching Vocabulary are extensive and diverse, spanning various segments of the education and technology markets. One primary application is its integration into **adaptive learning platforms** and **Learning Management Systems (LMS)**, where it can be licensed as a module to enhance existing offerings with its unique diagnostic and personalized intervention capabilities. This allows these platforms to provide a more nuanced and effective learning experience.\n\nAnother significant application is the development of **standalone educational software and applications** for children in early and middle childhood. These apps could be marketed directly to parents via subscription models, offering a premium solution for improving math and language skills. Schools and educational institutions represent another large market, where the system can be adopted as a supplemental tool for **classroom instruction**, **remedial support**, or specialized programs like **ESL (English as a Second Language)** and **special education**.\n\nFurthermore, the underlying principles could be adapted for **corporate training** in sectors requiring highly specialized vocabulary, such as healthcare, engineering, or IT, where precise language is crucial for professional proficiency. The patent also opens avenues for **content publishing**, creating new interactive stories and flashcards that are dynamically generated and contextually linked to game-based learning. Its versatility and targeted effectiveness make it a highly valuable commercial asset across multiple educational and training domains. Keywords: commercial applications, EdTech market, adaptive learning software, educational apps, corporate training, content licensing, personalized education.","question":"What are the commercial applications of the Method and System for Teaching Vocabulary?"},{"answer":"Looking ahead, the Method and System for Teaching Vocabulary has significant potential for future developments, building upon its innovative core. One major area of expansion is **cross-curricular application**. While initially focused on math, the diagnostic and intervention framework could be extended to other subjects like science, history, or even coding, all of which require specialized vocabulary for deep understanding. This would broaden its market reach and educational impact considerably.\n\nAnother expected development involves **advanced AI and machine learning integration**. This could lead to more sophisticated diagnostic algorithms that adapt dynamically to individual learning curves and even predict potential vocabulary gaps before they become significant issues. Furthermore, generative AI could enable the system to dynamically create an infinite variety of highly personalized stories, flashcards, and even game scenarios, tailoring content not just to vocabulary needs but also to a child's preferred learning style or emotional state.\n\nWe can also anticipate greater **integration into holistic learning ecosystems**, with seamless data exchange with broader educational platforms and potentially even wearable technology for biofeedback. This would allow for a more comprehensive understanding of a child's learning journey and more responsive interventions. The Method and System for Teaching Vocabulary is poised to evolve into a highly intelligent, fully adaptive, and deeply engaging educational companion for learners across various domains and stages of development. Keywords: future EdTech, AI in education, cross-curricular learning, predictive analytics, adaptive learning evolution, personalized learning, educational innovation.","question":"What are the future developments expected for the Method and System for Teaching Vocabulary?"}],"topics":["Method and System for Teaching Vocabulary","patent US-9852649","vocabulary learning","educational technology","math concepts","technical","unpacking","method"],"tech_cluster":null},"seo":{"title":"Method and System for Teaching Vocabulary - Patent US-9852649","description":"Discover the Method and System for Teaching Vocabulary patent: a revolutionary approach using spatial-temporal games to teach math concepts and related vocabulary. Bridge learning gaps effectively.","keywords":["Method and System for Teaching Vocabulary","patent US-9852649","vocabulary learning","educational technology","math concepts","spatial-temporal games","adaptive learning","personalized instruction","edtech innovation","language acquisition","learning gap","STEM education"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9852649","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9852649","citation_suggestion":"Patentable. \"Method and system for teaching vocabulary\" (US-9852649). https://patentable.app/patents/US-9852649","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9852649","json":"https://patentable.app/api/llm-context/US-9852649","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T06:36:54.819Z"}