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.

Disclosed herein are systems and methods for generating and delivering extended reality content, such as augmented reality, mixed reality, and virtual reality, to physical, electronic, and audio media using deep learning algorithms, dynamic differential programming, and application programming interfaces. Such media can include, for example, printed books, electronic books, and audiobooks that can be prompted from a physical electronic device for immersive recyclable digital media utilization.

A method and system for automatic scoring of reading fluency. In some embodiments, the present disclosure provides a method and system for automatic scoring of reading fluency by recording a user's voice reading the passage in a reading fluency question and calculating a reading fluency score indicating how quickly and accurately the user reads texts.

Systems and methods for evaluating and improving reading skills in real time are disclosed. The method may include receiving a user selection of an electronic book in an application executing on a user device associated with a first user, opening the user selection of the electronic book in the application, initiating a video call or an audio call with a second user in the application, receiving from the first user one or more first spoken words associated with a first reading content of the electronic book, transcribing the one or more first spoken words to first text via the application, determining if the first text matches the first reading content of the electronic book, and transmitting the determination of whether the first text matches the first reading content of the electronic book to the first user and the second user.

An example method for identifying a reading location in a text source as a user reads the text source aloud includes determining phoneme data of the text source, the text source comprising a sequence of words; receiving audio data comprising a spoken word associated with the text source; comparing, by a processing device, the phoneme data of the text source and phoneme data of the audio data; and identifying a location in the sequence of words based on the comparing phoneme data.

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.

An innovative electronic flashcard that can say, spell, sing, and record the word with a push of a button. Each electronic flashcard may have a series buttons to allow children to hear the word, spell the word with each letter lighting up, each flashcard may sing a kid-friendly song that goes with each of the sight words, and may allow students to record themselves saying, singing, and/or spelling the subject sight word. The letters displayed on the flashcards may also include a tactile aspect.

A computing device translates a spoken word into a corresponding ordered set of spoken phonemes and analyzes correctness of the spoken word relative to a target word. The analyzing includes attempting to locate each of the spoken phonemes in an ordered set of grapheme-phoneme correspondences (GPCs) describing the target word, and determining whether or not the ordered set of spoken phonemes comprises a same number of phonemes as in the ordered set of GPCs. The analyzing also includes comparing the order of the ordered set of spoken phonemes against the order of the ordered set of GPCs. The computing device generates a report, based on the analyzing, that identifies at least one of the GPCs in the ordered set of GPCs as having been incorrectly applied in decoding the target word.

A method of identifying reading passages for reading progress can include receiving a set of error-indicated phonemes, wherein the set of error-indicated phonemes correspond to pronunciation errors identified in a recorded audio file from an individual reading an assigned passage aloud; determining corresponding error-indicated phonetic rules for each error-indicated phoneme of the set of error-indicated phonemes using a mapping of phonemes to phonetic rules; identifying at least one content passage from a set of content passages that satisfies a condition with respect to the error-indicated phonetic rules; and providing the at least one content passage for a new assignment for the individual to read aloud.

A method for evaluating reading comprehension is provided. The method includes the steps of providing at least one printed passage of text; providing a test subject, the test subject wearing a device for measuring brain frontal lobe usage; requiring the test subject to read the printed passage; providing a question based on the printed passage for the test subject to answer; and determining whether the device measures brain frontal lobe usage. A system for performing the method is also provided.