16 results about "Reading level" patented technology

Computer technology for preparing a natural language summary of a natural language original text based on a reading profile for an intended reader based on historical reading data. The reader profile includes reading related attribute values of the intended reader, such as levels of knowledge about various topics, a general reading level of the intended reader and the brevity / length of summaries preferred by the intended reader, the general vocabulary level of the intended reader. The intended readers reading profile will grow and change as the intended reader does additional reading to create additional new “historical” data upon which the attribute values of the reader profile are based to dynamically track attributes of the intended reader for use in further summaries of other texts.

An artificial intelligence (AI) story generation environment includes a story generation system and an AI story generation system. The story generation system guides and constrains the AI story generation system to transform guidance information, constraint information, and input data into a story that aligns with the guidance, constraint, and input data including alignment with educational standards. The story generation system further includes a user interface having an integrated chatbot configured to enable communication between a user and the story generation system. A user profile is created based on details provided by the user either directly through the user interface or via interaction of the user with the chatbot. The details provided by the user includes one or more user interests, one or more life incidents, hobbies, and so on. A default reading level value is assigned to the user profile based on the received user details.

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 invention discloses a method and a system for cognitive intervention of developmental reading impairment based on a noise elimination theory. The cognitive intervention method comprises the following steps: acquiring personal information of a user and an initial reading level test result; presenting the element graph to a user, and matching with a text description rule; after the user confirms the understanding rule, elements, task rules and task presentation stages required by the training task are called from the element library, the rule library and the stage library in sequence, and a simulation training task or a formal training task is formed; performing simulation training on the user based on the simulation training task until the user reaches a preset training standard; and performing formal training on the user based on the formal training task, and recording a training result to output a total training score. According to the method, visual motion processing ability training contents in different forms of noise environments are designed according to the noise elimination ability defect of children, so that visual perception ability damage of the children is trained, and the method is suitable for children of various age groups, literacy bases and reading levels.

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.

The embodiment of the invention provides a Chinese hierarchical reading ability evaluation system and method and a text evaluation system and method. The system specifically comprises a standardized measuring scale construction module used for generating a reading ability evaluation question set based on a reference text corpus, each reference text being associated with at least one group of question units; for each group of question units, acquiring evaluation data of a plurality of users, respectively calibrating reading ability values of the users and text difficulty values of the reference texts associated with each group of question units in combination with the project reaction theoretical model, and calibrating the reading ability values and the text difficulty values to the same standardized measuring scale; and the dynamic evaluation module is used for selecting question units from the reading ability evaluation question set to form an ability evaluation question group according to feature data or evaluation requirements of a target user, and outputting a reading ability evaluation result based on answer data of the target user to the ability evaluation question group in combination with the standardized measuring scale. According to the system, joint evaluation of the text difficulty and the reading level is realized through a standardized measuring scale.

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 invention provides an intelligent reading disorder assessment and training method based on a large model. The method comprises the steps of obtaining user information and a test instruction of a to-be-tested user; generating a pretest text based on the user information and a test instruction; verifying the test text, adjusting a semantic problem in the test text, and generating a standard test text through iterative updating; acquiring reading voice data of the to-be-tested user through a voice recognition system; generating a reading evaluation result based on the reading voice data of the to-be-tested user; based on the method provided by the invention, the reading test text with matched capability can be automatically generated by utilizing the generation capability of a large model according to the age and reading level of the user, the reading evaluation result is fed back according to the real-time performance of the user, and the test text is updated. And the evaluation accuracy and effectiveness 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 invention discloses a primary and secondary school student reading level assessment method and system, and relates to the technical field of natural language processing. Based on the reading level elements, the project features and the project requirements, the reading level indexes and the three-dimensional index incidence matrix are obtained, the indexes related to the reading levels of primary and secondary school students are captured, and the authenticity and accuracy of the reading level evaluation result are improved; the reading condition questionnaire and the reading test paper of the reading level of primary and secondary school students are accurately formulated, and the reading test data and the questionnaire data are analyzed, so that each subject can interpret the reader level condition of an individual or a group, and a teacher or a school is assisted to diagnose the reading level condition of the students; according to the method, the advantages and disadvantages of the student individuals and group reading levels are known, the development trend of the student individuals in reading ability tendency and the reading level value-added performance of various groups are predicted, and then effective suggestions for improving the reading levels of the student individuals, the reading teaching level development of teachers and the reading education guidance of schools and regions are given.

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.

The embodiment of the invention provides a text reading level analysis method, which comprises the following steps: acquiring a text set and a current learning stage of a reader, and determining language units included in the text set; if the number of the language units is greater than a target number, determining a corresponding selection program according to the current learning stage, and performing stratified sampling in the language units based on the selection program to obtain a target language unit set; using the target language unit set to generate a reading level test question corresponding to the learning stage, and obtaining a reading test result based on feedback of the reader for the reading level test question; and calculating the reading level of each text in the text set by the reader based on the reading test result. According to the scheme of the invention, a personalized analysis result can be obtained for a specific reader, the pertinence of reading training is improved, and the efficiency of reading training is improved.

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.