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    LANGUAGE LEARNING SYSTEMS AND METHODS
    21.
    发明申请
    LANGUAGE LEARNING SYSTEMS AND METHODS 审中-公开

    公开(公告)号：US20190385481A1

    公开(公告)日：2019-12-19

    申请号：US16554470

    申请日：2019-08-28

    申请人： VOXY, INC.

    发明人： Katharine NIELSON ,  Kasey KIRKHAM ,  Na'im TYSON ,  Andrew BREEN

    IPC分类号： G09B19/06 ,  G06F17/27 ,  G09B7/08 ,  G09B5/00 ,  G09B5/02 ,  A61B5/048 ,  A61B5/00 ,  A61B5/16

    摘要： A systems, methods, and products for language learning software that automatically extracts text from corpora using various natural-language processing product features, which can be combined with custom-designed learning activities to offer a needs-based, adaptive learning methodology. The system may receive a text, extract keywords pedagogically valuable to non-native language learning, assign a difficulty score to the text using various linguistic attributes of the text, generate a list of potential distractors for each keyword in the text to implement in learning activities, and topically tag the text against a taxonomy based on the content. This output is then used in conjunction with a series of learning activity-types designed to meet learners' language skill needs and then used to create dynamic, adaptive activities for them.

    METHOD AND SYSTEM FOR GENERATING AND MONITORING TRAINING MODULES
    22.
    发明申请
    METHOD AND SYSTEM FOR GENERATING AND MONITORING TRAINING MODULES 审中-公开

    公开(公告)号：US20190311449A1

    公开(公告)日：2019-10-10

    申请号：US15949964

    申请日：2018-04-10

    申请人： Sam Caucci

    发明人： Sam Caucci

    IPC分类号： G06Q50/20 ,  G06Q10/10 ,  G09B5/06 ,  G09B7/04 ,  G09B7/08 ,  A63F13/85

    摘要： A method for compiling and presenting training materials to employees, the method comprising, receiving, by one or more processors, a request to compile a training module, analyzing, by one or more processors, a set of parameters of the request, wherein the set of parameters pertain to subject matter, compiling, by one or more processors, a quantity of pre-existing training materials, parsing, by one or more processors, the quantity of pre-existing training materials associated with the request to determine if a first portion of the quantity of pre-existing training materials are related to the request, accessing, by one or more processors, a template for the request, wherein the template is based on a specific format of the training module, integrating, by one or more processors, the first portion of the quantity of pre-existing training materials into the template, and generating, by one or more processors, the training module.

    MEASURING LANGUAGE LEARNING USING STANDARDIZED SCORE SCALES AND ADAPTIVE ASSESSMENT ENGINES
    23.
    发明申请
    MEASURING LANGUAGE LEARNING USING STANDARDIZED SCORE SCALES AND ADAPTIVE ASSESSMENT ENGINES 审中-公开

    公开(公告)号：US20190251862A1

    公开(公告)日：2019-08-15

    申请号：US16396440

    申请日：2019-04-26

    申请人： Pearson Education, Inc.

    发明人： David BOOTH ,  Paul SEDDON

    IPC分类号： G09B19/06 ,  G09B7/04 ,  G09B7/08

    CPC分类号： G09B19/06 ,  G06Q10/0639 ,  G06Q50/20 ,  G09B5/08 ,  G09B7/02 ,  G09B7/04 ,  G09B7/06 ,  G09B7/08

    摘要： The present invention allows a language learning platform to calculate a user's overall language skill. This may be performed as a standalone test or before, during and/or after a language course. The language learning platform may perform a Pre-CAT process, a CAT process, a stage 2—fixed form process and a scoring and reporting process. The Pre-CAT process is designed to quickly get an initial estimate of the user's overall language skill. The CAT processes improves on the accuracy of the Pre-CAT process, preferably until the conditional standard error of measurement for the user's overall language skill is less than a predetermined number. The stage 2—fixed form process may use the user's overall language skill to select speaking, listening and writing assessment items of an appropriate difficulty for the user. The language learning platform may score the responses of the user, present the measured user's overall language skill to the user and save the user's overall language skill in a database for use in future tests.

    ELECTRONIC PUBLICATION ENVIRONMENT INTERFACE
    26.
    发明申请
    ELECTRONIC PUBLICATION ENVIRONMENT INTERFACE 审中-公开

    公开(公告)号：US20190130774A1

    公开(公告)日：2019-05-02

    申请号：US16055415

    申请日：2018-08-06

    申请人： KNOWLEDGE INITIATIVES LLC

    发明人： Barr ROSENBERG

    IPC分类号： G09B5/06 ,  G09B5/02 ,  G09B7/08 ,  G09B19/00

    摘要： An electronic publication environment includes nodes containing items of educational content, and a plurality of paths through the nodes. Each path represents a different organization of the nodes in the electronic textbook. The paths are tailored to the educational needs of the users of the electronic textbook. As a user traverses the nodes of the electronic textbook, the user creates a personalized path. The user can add comments to the nodes and connections of this path. These paths and associated comments are made available to other users of the electronic textbook.

    SYSTEM AND METHOD FOR AUTOMATICALLY GENERATING CONCEPTS RELATED TO A TARGET CONCEPT
    27.
    发明申请
    SYSTEM AND METHOD FOR AUTOMATICALLY GENERATING CONCEPTS RELATED TO A TARGET CONCEPT 审中-公开

    公开(公告)号：US20180373791A1

    公开(公告)日：2018-12-27

    申请号：US15977952

    申请日：2018-05-11

    申请人： CEREGO, LLC.

    发明人： Michael A. YEN ,  Iain M. HARLOW ,  Andrew SMITH LEWIS ,  Paul T. MUMMA

    IPC分类号： G06F17/30 ,  G09B7/08 ,  G06F17/27

    摘要： A method for generating a set of concepts related to a target concept includes accessing a set of candidate concepts, embedding the target concept and the set of candidate concepts in a semantic vector space, selecting one or more intermediate concepts from the set of candidate concepts in response to determining whether each embedded candidate concept in the set of embedded candidate concepts satisfies a predetermined relationship with the embedded target concept, and filtering the one or more intermediate concepts to yield the set of concepts related to the target concept. The method may further include generating a multiple-choice question in which the target concept corresponds to a correct answer choice and the set of concepts related to the target concept correspond to distractors.