公开(公告)号：US20190197220A1

公开(公告)日：2019-06-27

申请号：US15939056

申请日：2018-03-28

Applicant: Pearson Education, Inc.

Inventor： Gregory ANDERSON ,  Wayne BAILEY ,  Colleen M. DOLAN ,  Jide FAJOBI ,  Darrick JENSEN ,  Ronald D. LANCASTER, JR. ,  Matthew MALONEY ,  Michael NEALIS ,  Steven C. NORDBERG ,  Peter PASCALE ,  Andrew STOCKINGER ,  Julianne Michael Schaffer

IPC: G06F21/32 ,  G09B7/00

CPC classification number: G06F9/546 ,  G06F11/3438 ,  G06F21/32 ,  G06F2221/2139 ,  G06Q10/0635 ,  G06Q50/20 ,  G09B7/00 ,  H04L65/1069 ,  H04L67/18 ,  H04L67/32 ,  H04L67/42 ,  H04N7/15

Abstract: A system includes one or more server hardware computing devices includes one or more processors and memory storing instructions that, when executed by the one or more processors, cause the system to receive a request to verify an identity of a user attempting to complete an examination provided by an online proctored examination platform to a candidate user authorized to complete the examination and repeatedly, at a predefined interval during the examination, determine, based at least in part on user data collected by the online proctored examination platform during the examination, the user data identifying the user at a time that the interval elapses, whether the user is the candidate user, and, responsive to a determination that the user is not the candidate user, perform one or more of a plurality of actions associated with a failed identity verification, the plurality of actions including stopping the examination.

公开(公告)号：US20190197049A1

公开(公告)日：2019-06-27

申请号：US16293574

申请日：2019-03-05

Applicant: Samadhi Co., Ltd

Inventor： Hideki AIKAWA

IPC: G06F16/335 ,  G06Q50/20 ,  G06F21/31 ,  G06F21/50 ,  H04L12/58

CPC classification number: G06F16/337 ,  G06F21/31 ,  G06F21/50 ,  G06Q50/20 ,  H04L51/04

Abstract: Provided is a portfolio creation system capable of accumulating activity records, summarizing the accumulated activity records as a portfolio, and preventing pretension of a third party. The portfolio creation system includes an approval storage table (group user table 211) that stores an approval determined by an adviser who determines approval or disapproval of registration of a user, for each user, an authentication unit that prohibits use of the user who is not given the approval and allows use of an approved user who is given the approval, a user table (205) that stores information relating to the approved user, an activity table (206) that stores the activity record which is a record of an activity of the approved user, an activity record display unit that displays the activity record in a selectable form, and a portfolio creation unit that creates the portfolio based on the information relating to the approved user and the selected activity record.

公开(公告)号：US10078874B2

公开(公告)日：2018-09-18

申请号：US14325309

申请日：2014-07-07

Applicant: Apex Learning, Inc.

Inventor： Andrew Lippert ,  Rohit Agarwal

IPC: G06F15/16 ,  G06Q50/20 ,  G09B7/00 ,  G06Q10/00

CPC classification number: G06Q50/20 ,  G06Q10/00 ,  G09B7/00

Abstract: A computer-implemented system and method for providing student enrollment alerts in an online learning environment is provided. A subscription threshold for an organization is determined for students enrolled in an online learning environment. The subscription threshold includes a number of subscriptions purchased by the organization. New enrollments for one or more of the students associated with the organization is received. A new enrollment alert is generated for each of the new enrollments and the alerts are delivered to an administrator of the online learning environment. A total number of the new enrollments are determined for the organization. The subscription threshold is applied to the number of new enrollments. A subscription alert is generated when the number of the new enrollments satisfies the subscription threshold.

公开(公告)号：US20180158355A1

公开(公告)日：2018-06-07

申请号：US15889238

申请日：2018-02-06

Applicant: Smart Sparrow Pty Ltd.

Inventor： Dror BEN-NAIM

IPC: G09B9/00 ,  H04L29/08 ,  G06Q10/10 ,  G06Q50/20 ,  G09B7/00

CPC classification number: G09B9/00 ,  G06Q10/10 ,  G06Q50/20 ,  G09B7/00 ,  H04L67/1095

Abstract: Described herein are computer-implemented frameworks and methodologies for generating and delivering adaptive tutorials. Embodiments of the invention have been particularly developed for providing an improved computer-implemented learning environment. While some embodiments will be described herein with particular reference to that application, it will be appreciated that the invention is not limited to such a field of use, and is applicable in broader contexts.

公开(公告)号：US09985672B2

公开(公告)日：2018-05-29

申请号：US13942582

申请日：2013-07-15

Applicant: ZIH Corp.

Inventor： Michael A. Wohl ,  James J. O'Hagan

IPC: G06F19/00 ,  H04B1/10 ,  G06F17/30 ,  H04L29/08 ,  A63B24/00 ,  G06K7/10 ,  G08C17/02 ,  H04B1/7097 ,  H04W4/02 ,  A63B71/06 ,  G06K9/00 ,  G06N5/02 ,  H04L12/26 ,  G06Q50/20 ,  G09B19/00 ,  H04B1/7163 ,  H04B1/719 ,  G06Q50/22 ,  H04Q9/00 ,  A41D1/00 ,  A41D1/04 ,  A42B3/30 ,  G06K17/00 ,  G06Q90/00

CPC classification number: H04B1/1036 ,  A41D1/002 ,  A41D1/005 ,  A41D1/04 ,  A41D2600/10 ,  A42B3/30 ,  A63B24/00 ,  A63B24/0021 ,  A63B24/0062 ,  A63B71/06 ,  A63B71/0619 ,  A63B71/0622 ,  A63B71/0686 ,  A63B2024/0025 ,  A63B2024/0028 ,  A63B2024/0056 ,  A63B2220/12 ,  A63B2220/40 ,  A63B2220/836 ,  A63B2225/50 ,  A63B2225/54 ,  G05B15/02 ,  G06F17/30864 ,  G06F17/3087 ,  G06F17/30876 ,  G06F17/30879 ,  G06F19/00 ,  G06K7/10227 ,  G06K7/10297 ,  G06K7/10306 ,  G06K7/10366 ,  G06K9/00342 ,  G06K2017/0045 ,  G06N5/02 ,  G06N7/005 ,  G06Q50/20 ,  G06Q50/22 ,  G06Q90/00 ,  G08C17/02 ,  G09B19/0038 ,  G16H50/30 ,  G16H50/50 ,  H04B1/7097 ,  H04B1/71635 ,  H04B1/71637 ,  H04B1/719 ,  H04L43/04 ,  H04L67/12 ,  H04Q9/00 ,  H04W4/02

Abstract: Systems, methods, apparatuses, and computer readable media are disclosed for providing analytics for evaluating performance using real time data on movement and proximity of tagged objects. In one embodiment, a method is provided for evaluating a player that includes correlating at least one tag to the player; receiving blink data transmitted by the at least one tag; and determining tag location data based on the blink data. The method further includes receiving player role data; comparing the tag location data to player dynamics/kinetics models based at least in part on the player role data; determining player location data based on the comparing the tag location data to the player dynamics/kinetics models; and determining player performance information based on comparing the player location data to stored player location data.

公开(公告)号：US20180144655A1

公开(公告)日：2018-05-24

申请号：US15570472

申请日：2015-07-29

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Shanchan WU ,  Lei Liu

IPC: G09B7/04 ,  G09B7/07 ,  G09B7/12 ,  G09B5/02

CPC classification number: G09B7/04 ,  G06Q50/20 ,  G09B5/00 ,  G09B5/02 ,  G09B7/07 ,  G09B7/12

Abstract: Examples disclosed herein relate to content selection based on predicted performance related to test concepts. In one implementation, a processor selects a content element based on a comparison of associated predicted likelihood of improvement related to the test concepts and a correlation level to the test concepts. The processor may output information related to the selected content element.

公开(公告)号：US20180144352A1

公开(公告)日：2018-05-24

申请号：US15453668

申请日：2017-03-08

Applicant: Arizona Board of Regents on Behalf of the University of Arizona

Inventor： SUDHA RAM ,  Yun WANG ,  Sabah Ahmed CURRIM ,  Faiz Ahmed CURRIM

IPC: G06Q30/02 ,  G06Q50/20 ,  G06Q20/10

CPC classification number: G06Q30/0202 ,  G06F17/12 ,  G06Q20/10 ,  G06Q50/20

Abstract: Systems and methods for analyzing student retention rates are disclosed. The systems and methods disclosed construct networks of students based on data associated with financial transactions conducted by those students. The systems and methods analyze the networks of students to calculate network features associated with the networks and utilize those network features to forecast student retention. The network features analyzed include node appearance metrics, degree metrics, and edge metrics. The systems and methods may also utilize campus integration metrics calculated from data associated with financial transactions conducted by students to forecast student retention.

公开(公告)号：US09977867B2

公开(公告)日：2018-05-22

申请号：US14923043

申请日：2015-10-26

Applicant: MedEncentive, LLC

Inventor： Jeffrey C. Greene

IPC: G06F19/00 ,  G06Q10/08 ,  G06Q10/10 ,  G06Q50/22 ,  G06Q30/02 ,  G06Q50/20

CPC classification number: G16H10/60 ,  G06F19/00 ,  G06F19/328 ,  G06F19/34 ,  G06Q10/087 ,  G06Q10/10 ,  G06Q30/0207 ,  G06Q50/20 ,  G06Q50/22 ,  G16H40/20 ,  G16H50/20

Abstract: System and method for reducing healthcare costs by improving care and encouraging healthy behaviors. A web-based or telephonic program using health plan sponsor funded financial incentives, offered to patients and providers for declaring or demonstrating adherence or providing a reason for non-adherence to performance standards. Financial incentives are contingent upon patient's and provider's agreement to allow the other to confirm or acknowledge the other's declaration or demonstration of adherence or non-adherence reason. Combining financial incentives with a set of checks and balances motivates participation in the program and adherence to the performance standards. Performance standards include evidence-based treatment guidelines, information therapy, wellness and prevention solutions, care management, and other methods proven to control costs by improving behaviors and healthcare. The system and method achieves improved health and more affordable healthcare by aligning the interests of providers, patients/consumers, and health plan sponsors in a win-win-win arrangement.

公开(公告)号：US20180129651A1

公开(公告)日：2018-05-10

申请号：US15565460

申请日：2016-04-13

Applicant: EQUIVALENTOR OY

Inventor： Joni LATVALA ,  Saku VALKAMA

IPC: G06F17/28 ,  G06F17/27 ,  G06F15/18

CPC classification number: G06F17/2881 ,  G06F3/0486 ,  G06F17/2705 ,  G06F17/2785 ,  G06F17/28 ,  G06N20/00 ,  G06Q10/10 ,  G06Q50/20 ,  G10L13/00 ,  G10L15/00

Abstract: A method and a computer program product are implementable on a computing device are configured for generating natural language communication. A user interface displays a first number of recipient-specific pseudo-predefined elements. A semantic allocation of the elements is received from a user, wherein at least part of the first number of recipient-specific pseudo-predefined elements are allocated into at least two different classes. The semantically allocated elements are allocated into at least one logical class which defines, for each semantically allocated element, a specific portion or context of the communication to be automatically generated. A natural language sentence is generated in each logical class containing at least one of the semantically allocated elements. The generated sentence includes elements allocated to the respective logical class in said at least one generated sentence or the sentence may include words describing a semantic meaning of the elements allocated to the logical class.

公开(公告)号：US09967218B2

公开(公告)日：2018-05-08

申请号：US13282285

申请日：2011-10-26

Applicant: Wei Chu ,  Martin Zinkevich ,  Lihong Li ,  Achint Oommen Thomas ,  Belle Tseng

Inventor： Wei Chu ,  Martin Zinkevich ,  Lihong Li ,  Achint Oommen Thomas ,  Belle Tseng

IPC: G06F15/16 ,  G06N5/02 ,  G06F11/00 ,  H04L12/58 ,  G06N7/00 ,  G06Q50/20

CPC classification number: H04L51/12 ,  G06F11/00 ,  G06F15/16 ,  G06N5/02 ,  G06N7/005 ,  G06Q50/20

Abstract: 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.