9 results about "Reading level" patented technology

The invention discloses a child reading level prediction method and system based on picture book reading records, and the method comprises the following steps: collecting ecological behavior data in a parent-child co-reading process, the ecological behavior data at least comprising picture book-child interaction data, parent-child interaction data, and child-reading content feedback data; the ecological behavior data is preprocessed, multiple features are extracted and subjected to standardized coding, and the features at least comprise the key illustration touch rate, the page turning force entropy value and the puzzling expression proportion of the picture book-child interaction dimension; by collecting picture book-child interaction data, parent-child interaction data and child-reading content feedback data, a multi-modal ecological behavior data system is constructed, and physical interaction details, language interaction quality and child cognitive feedback in the parent-child co-reading process are comprehensively captured; and the one-sidedness caused by only depending on dominant data such as reading duration and frequency is avoided.

The application discloses a children's reading level prediction method and system based on picture book reading records, comprising the following steps: collecting ecological behavior data in the process of parent-child reading, wherein the ecological behavior data at least includes picture book-child interaction data, parent-child interaction data and child-reading content feedback data; preprocessing the ecological behavior data, extracting multiple features and standardizing coding, wherein the features at least include key illustration touch rate of picture book-child interaction dimension, page turning force entropy value and confusion expression proportion, the application collects picture book-child interaction data, parent-child interaction data and child-reading content feedback data, constructs a multi-modal ecological behavior data system, comprehensively captures physical interaction details, language interaction quality and child cognitive feedback in the process of parent-child reading, and avoids one-sidedness caused by relying on only explicit data such as reading duration and frequency.

AI-driven definition generation system and method disclosed herein guides an artificial intelligence (AI) engine to provide contextually relevant definitions of words given in a passage. The AI-driven definition generation system includes an online learning platform such that a user can select any word given in a passage on the online learning platform to instantly receive a contextually relevant definition of the selected word. The definition is generated as per the reading level of the user and the context of the surrounding passage. The AI-driven definition generation system achieves this by integrating user profile information, analyzing the surrounding text of selected words, and using an AI engine guided by a content generation system.

The application discloses a self-adaptive improvement method and device for reading ability evaluation, which comprises the following steps: terminating judgment is performed based on the ability preset condition of the IRT self-adaptive algorithm; a reading path, information marking behavior, draft reasoning process and final score of a tested person are recorded in real time to generate an ability and strategy report and determine a reading process analysis and evaluation result; based on a reading evaluation index, necessary parameters, optional parameters and unlocking logic are determined; meanwhile, a NLP model and voice emotion analysis are used to collect voice interaction data in the reading process of a user; a reading task library covering different school stages and different reading targets is built, and a matching operation guide is formulated; a standardization intervention script library corresponding to a fixed intervention prompt is constructed, and the level and timing of reading intervention are determined; and a front-end chart engine is used in combination with a back-end graph to generate a visual ability report for reading result interpretation, so that the reading level and literacy of a reader are improved.

The application discloses a whole book reading ability evaluation improving method and device, the method comprises the following steps: setting a reading level according to reading ability classification, determining a basic question type model of whole book standardized reading ability evaluation; obtaining and judging the identity information of a user, distributing the question type proportion according to the reading ability development characteristics of the age stage, forming a monitoring question type combination corresponding to the identity information, determining the quantitative selection and difficulty of the basic question type model of the standardized reading ability evaluation; according to the reading text type of the whole book, the style characteristics distribution is inserted in the monitoring question type matching of the reading ability basic question type and the cognitive characteristics age stage; according to the reading type content and style characteristics of the famous book whole book, the basic question type of the standardized reading ability evaluation and the corresponding age stage monitoring question type are matched, through the monitoring question type matching, the style characteristics and the standardized reading ability evaluation are combined.

The system according to the embodiment aims to provide optimal stories according to a child's age, interests, reading level, and educational purpose. [Solution] A system according to an embodiment includes a reception unit, a generation unit, and a provision unit. The reception unit receives information on a child's age, interests, reading level, and educational objectives. The generation unit analyzes the information received by the reception unit and generates an appropriate story. The provision unit provides the story generated by the generation unit as an e-book.

Systems and methods for on-device oral reading fluency evaluation and adaptive feedback. A device captures audio and runs automatic speech recognition (ASR) in an isolated environment. A schema-restricted interface exposes only tokens, per-token timestamps, and per-token confidence values, and excludes raw audio and model-internal signals. An acoustic front end extracts prosodic features as a first vector. A text and timing path derives indicators from ASR metadata as a second vector. Gates check confidence, alignment, coverage, and prosodic quality. On-device dual-path fluency evaluation with quality gating controls adaptation. When a gate fails, the device outputs a reason-coded quality flag and holds adaptation. When gates pass, fusion of the vectors produces a normalized fluency value. Reading-level adaptation uses dual thresholds and limits change to one step per prompt. Outcomes and metadata remain encrypted on device. No assessment data leave the device.

A programmatically controlled and guided and constrained Artificial Intelligence (AI) engine reading passage generation system and method for guiding the AI engine in generating personalized reading passages for users using an online learning platform is disclosed. The method involves collecting user details, including interests, reading level, academic standards, and optional fictional attributes, from the user's profile. Based on the user's genre preference and reading level, the reading passage generation system selects an appropriate prompt structure from a repository. The collected data is then analyzed to generate insights, which are used to populate the selected prompt structure. The resulting prompts are transferred to the AI engine, guiding it to generate a reading passage that aligns with the user's interests, reading level, and age appropriateness. The final output includes not only the personalized passage but also multiple-choice questions (MCQs), a title, and an associated image, enhancing the overall educational experience.

Systems, stories, books, and methods for developing reading skills are disclosed. The stories include a plurality of words, including a plurality of sight words, a plurality of decodable words, and a plurality of non-decodable, non-sight (“NDNS”) words that are neither sight words nor decodable words. For each of at least a substantial portion of the plurality of NDNS words, the story includes a discrete pronunciation key (DPK) immediately adjacent to at least an initial appearance of each NDNS word of the at least a substantial portion of the plurality of NDNS words. The story is constructed to be a preselected reading level, and at least a portion of the plurality of words, optionally including at least a substantial portion of the NDNS words, may be selected, at least in part, based on the preselected reading level. Books and systems including one or more of the stories also are disclosed.