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Computerized systems and methods for categorizing student responses and using them to update a student model during linguistic education

  • US 10,431,112 B2
  • Filed: 11/08/2016
  • Issued: 10/01/2019
  • Est. Priority Date: 10/03/2016
  • Status: Active Grant
First Claim
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1. A linguistic education system for a tutor to provide linguistic instruction to a student, the linguistic education system comprising:

  • a host server system that comprises one or more servers;

    a tutor mobile computing device that is remote from and in communication with the host server system via a data network; and

    a student mobile computing device,wherein;

    the one or more servers of the host server system;

    comprise;

    a lexicon database that stores a set of multiple words, wherein each word in the lexicon database is indexed to one or more linguistic concepts;

    a sentence database that stores sentences, wherein the sentences use words in the lexicon database;

    a student model database that stores a student model for the student, wherein the student model for the student indicates, for each of a plurality of linguistic concepts, a probability that the student knows the linguistic concept;

    is programmed to generate a lesson plan for a linguistic lesson for the student, wherein the lesson plan comprises one or more drills for one or more selected linguistic concepts to be covered in the linguistic lesson, wherein the one or more selected linguistic concepts for the linguistic lesson are selected based on a probability that the student knows the one or more selected linguistic concepts based on the student model, wherein the one or more drills comprise prompts, wherein the prompts comprise word prompts and sentence prompts, wherein words for the word prompts and sentences for the sentence prompts are selected for the linguistic lesson from the lexicon database and the sentence database based on the words in the word prompts and words in the sentences in the sentence prompts being indexed to the one or more selected linguistic concepts in the linguistic lesson, such that words and sentences that are unknown to the student, based on the student model for the student, are excluded from the lesson plan;

    the tutor mobile computing device;

    comprises a touchscreen interface; and

    executes a software application that, when executed;

    displays a response categorization area on the touchscreen interface of the tutor mobile computing device, wherein the response categorization area comprises;



    a listing of one or more possible responses for a selected prompt that is part of the linguistic lesson plan; and



    for each of the one or more possible responses for the selected prompt, a series of two or more hint level icons that represent varying degrees of hint levels, and wherein the hint level icons are selectable by the tutor, via the touchscreen interface of the tutor mobile computing device, to record the hint level that was needed to be provided by the tutor to elicit a correct response from the student; and

    transmits back to the host server system student response data indicative of the hint level icons selected by the tutor for each of the one or more possible responses for each prompt in the lesson plan;

    the student mobile computing device that is remote from and in communication with the tutor mobile computing device during the linguistic lesson, and wherein the student mobile computing device comprises a touch screen interface, such that for a portion of the linguistic lesson where the student inputs a response to a prompt from the tutor via the touch screen interface of the student mobile computing device, the student'"'"'s response is displayed during the linguistic lesson on the touchscreen interface of the tutor mobile computing device, andthe one or more servers of the host server system are further programmed to update the student model for the student based on the student response data received from the tutor mobile computing device.

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