Curriculum creation using cognitive computing

    公开(公告)号:US10671618B2

    公开(公告)日:2020-06-02

    申请号:US15407298

    申请日:2017-01-17

    摘要: Computer-implemented curriculum creation can include determining, using a processor, inquiries for educational content from data aggregated from a plurality of different users over time, determining, using the processor, topics of the inquiries, and categorizing, using the processor, the inquiries into groups based upon the topics. Computer-implemented curriculum creation may include searching, using the processor, for educational content for a subset of the topics, wherein the topics of the subset are selected based upon a ranking of the topics, and determining, using the processor, whether educational content is available for the topics of the subset based upon results of the searching.

    SYSTEM AND METHOD FOR MANAGING INNOVATION CHALLENGES

    公开(公告)号:US20200168115A1

    公开(公告)日:2020-05-28

    申请号:US16401109

    申请日:2019-05-01

    申请人: Future Engineers

    发明人: Deanne Bell

    摘要: A system for managing innovation challenges includes a computing apparatus having a processor and a memory with computer readable program code, wherein the processor under control of the computer readable program code is configured to implement, a content management system that operates to automatically generate an innovation challenge for students based on a common template that includes student eligibility requirements, a user management system that operates to collect user information, obtains parental or guardian consent, and determines individual student eligibility for specific innovation challenges, a submission management system that operates to automate ingestion, display, storage, and judging of challenge entry submissions, and a dashboard display that operates to manage innovation challenge participation.

    Digital education record management method based on blockchain token technology

    公开(公告)号:US10666425B2

    公开(公告)日:2020-05-26

    申请号:US15996547

    申请日:2018-06-04

    发明人: Jianbiao Dai

    摘要: A digital education record management method based on the blockchain token technology, the method includes: generating a fixed number of tokens on the blockchain of the entire network through a hash algorithm; generating an educational institution hash address and a management key matching the educational institution hash address for an educational institution; assigning a sufficient number of tokens to the educational institution according to the scale and requirement of the educational institution; generating a student hash address and a management key corresponding to the student hash address for the student through the hash algorithm; establishing a unified issuing rule of the token by educational institutions, issuing the token to the student when the student meets the rule; reading data on the blockchain node by using a blockchain scanning tool; generating a digital education record for the student according to the data; checking the digital education record through an authorization key.

    Dynamic time-based sequencing
    95.
    发明授权

    公开(公告)号:US10585695B2

    公开(公告)日:2020-03-10

    申请号:US15934369

    申请日:2018-03-23

    摘要: In some embodiments, techniques include identifying a plurality of tasks associated with an identifier corresponding to an electronic device. A task series is generated so as to include the plurality of tasks, where each task in the series is associated with a performance time. When it is determined that the task has not been completed by the performance time, the task series is updated.

    SYSTEM AND METHOD FOR RECOMMENDING BUSINESS SCHOOLS BASED ON ASSESSING PROFILES OF APPLICANTS AND BUSINESS SCHOOLS

    公开(公告)号:US20200073881A1

    公开(公告)日:2020-03-05

    申请号:US16208600

    申请日:2018-12-04

    摘要: A system and method for recommending business schools based on an assessment of profiles of applicants and business schools. The method stores datasets pertaining to applicants, business schools, and admissions in a database through a storing module. Then the method reads and transforms the datasets into a structured dataset through a reading module. The method normalizes the datasets to provide a corresponding value to each dataset stored in the database through a data normalization module. The method maps first variables with second variables to compare the profile of the applicant and business school through a variable-mapping module. The method creates multi-label classification model through a multi-label classification module. The method computes a first similarity score between the profiles of the applicants and business schools through a similarity module and second similarity score by utilizing admission transactions data through a transaction-based matrix module.

    MEASURING LANGUAGE LEARNING USING STANDARDIZED SCORE SCALES AND ADAPTIVE ASSESSMENT ENGINES

    公开(公告)号:US20200066182A1

    公开(公告)日:2020-02-27

    申请号:US16672315

    申请日:2019-11-01

    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.

    Methods and systems for identifying similar schools

    公开(公告)号:US10565213B2

    公开(公告)日:2020-02-18

    申请号:US15063053

    申请日:2016-03-07

    发明人: Gloria Lau Jacob Bank

    摘要: Method, apparatus, and a computer-readable storage device for determining similarities. A plurality of sets having social network service members as entities is constructed by associating each of the social network service members with each of a predetermined selection of professional outcomes by school of graduation of the member. One of the plurality of sets is selected. A similarity algorithm calculates the similarity score of at least some of the plurality of sets in the plurality of sets to the selected one of the plurality of sets, and presents for rendering the k sets in the plurality of sets with the highest similarity scores. The similarity algorithm used may be a cosine similarity algorithm using the sets as vectors.

    SOCIAL MEDIA/NETWORK ENABLED DIGITAL LEARNING ENVIRONMENT WITH ATOMIC REFACTORING

    公开(公告)号:US20200045119A1

    公开(公告)日:2020-02-06

    申请号:US16055671

    申请日:2018-08-06

    摘要: A set of learner data associated with a learner is received. The set of learner data includes at least a real-time data stream, e.g., derived from instrumentation, in a social network enabled digital learning environment. Based on the set of learner data, at least one learning improvement strategy is determined for improving the learner's learning capability. Atomic level mentorship activities are generated. Each atomic level mentorship activity is targeted with a specific skill and knowledge item and having an estimated duration period. At least one mentorship is identified from at least one social network platform. An initial incentive structure comprising at least an amount of payment and payment modality is created. The atomic level mentorship activities with the initial incentive structure are presented.

    Online active learning in user-generated content streams

    公开(公告)号:US10523610B2

    公开(公告)日:2019-12-31

    申请号:US15973130

    申请日:2018-05-07

    申请人: Oath Inc.

    摘要: Software for online active learning receives content posted to an online stream at a website. The software converts the content into an elemental representation and inputs the elemental representation into a probit model to obtain a predictive probability that the content is abusive. The software also calculates an importance weight based on the elemental representation. And the software updates the probit model using the content, the importance weight, and an acquired label if a condition is met. The condition depends on an instrumental distribution. The software removes the content from the online stream if a condition is met. The condition depends on the predictive probability, if an acquired label is unavailable.