The present disclosure provides systems and methods for providing interface rendering of passages for test item generation. Methods and systems can utilize natural language processing (NLP) and machine learning (ML) models to analyze passages that were provided in historical testing environments (e.g., first passage), determine one or more similar search strings that are also found in a current passage (e.g., second passage), and provide the first and second passages to a user interface of a user device. On the display, the search string in the historical and current passages may be highlighted at the user interface to identify the similarities.

A method is provided that includes predicting, using a language model, one or more words from a first set of words expected to be difficult for a reader, and providing the first set of words for display to the reader. The predicted one or more words in the first set of words are displayed differently from non-predicted words in the first set of words.

A personal electronic device is adapted to construct data tables from user input received over time relating to translations of translatable items from a first language to a second language. Entries in a data table for a user are dynamic and may indicate likelihoods of the user correctly translating translatable items as a function of time. Each translatable item may have a different time-dependent likelihood of a correct translation. Operation of the personal electronic device for a user may be based in part on the acquired, time-dependent likelihoods for that user, so that information may be presented to the user in a more efficient manner.

A reading menu folder (RMF) system includes a front cover, a back cover having a series of letters, sounds, and combinations of letters and sounds such that the letters and sounds.

A system (1) for analyzing an audio to measure oral reading fluency or progress in oral reading fluency (2) in a text illustrated through the audio. The system (1) includes an input unit (3) which receives a target audio (4) from a user. The target audio (4) relates to an oral reading of the text by the user. The system (1) further includes a transcribing unit (5) which receives and processes the target audio (4) and generates a target transcription (6) of the target audio (4). The system (1) also includes a processing unit (7) which receives and processes at least one of the target transcription (6), the text (8), the target audio (4), or a reference audio (9), or combination thereof, and generates a primary metrics (10) having various parameters measuring reading fluencies. The system supports user specific dictionary customization to incorporate non-dictionary words in the analysis.

A system for interactive system using speech recognition and digital media is described. The system uses automated speech recognition and recognizes interactions from users to execute digital media items. The interactions are based on behavior of the user. The user is given a prompt. If the student responds to a prompt correctly, the student is rewarded with an animation. Otherwise the user experience continues without a reward. The system recognizes natural language responses for interactions of the user. The media item is dynamically generated as the user interacts with the digital media item.

Systems and methods for education instrumentation can include one or more servers configured generate a plurality of models for modeling various aspects of an education process using training data related to academic performance of students. The one or more servers can collect data from client devices associated with various education institutions or stakeholders throughout a life cycle of the education process. The one or more servers can use the generated models and the collected data to assess the addressing of education standards and predict or estimate performance metrics associated with the education process. The one or more servers can provide computed metrics or assessments of how well education standards are addressed to one or more client devices for display.

The present invention is directed to interactive training, and in particular, to methods and systems for computerized interactive skill training. An example embodiment provides a method and system for providing skill training using a computerized system. The computerized system receives a selection of a first training subject. Several related training components can be invoked, such as reading, watching, performing, and/or reviewing components. In addition, a scored challenge session is provided, wherein a training challenge is provided to a user via a terminal, optionally in video form.

A method for improving reading proficiency in persons in need of improvement. The method includes the steps of providing a body of digital text on an electronic device; extracting a selected portion of digital text from the body of digital text; analyzing the selected portion by natural language processing to produce a phonetical font, the phonetical font including a representation of a letter that when heard or said voices a phoneme of the letter; rendering the analyzed selected portion into the phonetical font; and utilizing the phonetical font to increase reading proficiency.

Methods and systems for delivering personalized learning material are disclosed. A method includes providing, by a computer device, current learning material and advance learning material to a plurality of students; monitoring, by the computer device, a reading performance and a complexity of the advance learning material for a student of the plurality of students; determining, by the computer device, a student comprehension score for the student based on the monitoring the reading performance and the complexity of the advance learning material; and providing, by the computer device, additional learning material to the student based on the student comprehension score being above a threshold.