公开(公告)号：US20240331560A1

公开(公告)日：2024-10-03

申请号：US18736240

申请日：2024-06-06

申请人： Pearson Education, Inc.

发明人： Franklin ALIOTO ,  Jeffrey ARGAST ,  Zack BELINSON ,  David COPEMAN ,  Samir DERRADJI ,  Amanda NEWLIN ,  David ROWE ,  Kristin SARDINA ,  Brian WECK

IPC分类号： G09B7/00 ,  G06F9/445

CPC分类号： G09B7/00 ,  G06F9/44526

摘要： Systems and methods of the present invention provide for: storing a plurality of content plugins; generating a graphical user interface (GUI) including components for: selecting a subset of plugins, defining a relationship between the plugins in the subset, and defining a custom pathway through the subset, including rules or conditions for navigation; receiving, from the content creator client device, selection of the subset, the relationship, and the rule or condition; generating, from the subset, relationship, and rule or condition; and transmitting to client devices for display, a learning course content for a learning application.

公开(公告)号：US11854433B2

公开(公告)日：2023-12-26

申请号：US16267281

申请日：2019-02-04

申请人： Pearson Education, Inc.

发明人： Krzysztof Jȩdrzejewski ,  Quinn Lathrop ,  Kacper Lodzikowski ,  Tomasz Matysiak ,  Mateusz Otmianowski ,  Malgorzata Schmidt

IPC分类号： G06F16/906 ,  G09B7/04 ,  G09B7/077 ,  G06F17/18 ,  G06F17/17 ,  G06T1/20

CPC分类号： G09B7/04 ,  G06F17/17 ,  G06F17/18 ,  G09B7/077 ,  G06T1/20

摘要： Systems and methods of the present invention provide for estimating latent ability of responders to a digital assessment in the form of ability scores and estimating item parameters an assessment item of the digital assessment including difficulty scores and discrimination scores. Maximum likelihood estimation may be performed based on an item response theory model to estimate the item parameters. Supervisory, extraction, and worker modules of a workflow manager module may initiate general purpose graphics processing unit instances and cause these instances to perform the maximum likelihood estimation calculations. The item response theory model may be a two parameter model that is modified to account for changes in difficulty caused by the use of hints.

公开(公告)号：US11792161B2

公开(公告)日：2023-10-17

申请号：US16595754

申请日：2019-10-08

申请人： Pearson Education, Inc.

发明人： Robert Altmann ,  Cecil R. Reynolds ,  Randy Kamphaus ,  Jinosh K. Phillip ,  Stacy L. Goros ,  Andrea L. Olson

IPC分类号： H04L67/306 ,  H04L67/1097 ,  H04L67/561 ,  H04L69/22 ,  H04L9/40

CPC分类号： H04L63/0254 ,  H04L63/0281 ,  H04L63/1425 ,  H04L67/306 ,  H04L67/1097 ,  H04L67/561 ,  H04L69/22

摘要： Systems and methods for automatic content remediation notification are disclosed herein. The system can include memory that can contain a content library database. The system can include a first user device and one or more servers. The one or more servers can: receive a content aggregation creation request from the first user device; identify content information associated with a set of the plurality of data packets; apply a filter request to the set of the plurality of data packets; automatically provide information relating to data packets in the restricted set of data packets to the first user device; receive content aggregate information identifying a content aggregate from the first user device; evaluate the content aggregate according to the metadata associated with the data packets of the content aggregate; and output an indicator of the evaluation result to the first user device.

公开(公告)号：US20230196255A1

公开(公告)日：2023-06-22

申请号：US18109999

申请日：2023-02-15

申请人： Pearson Education, Inc.

发明人： Stephen CARROLL ,  David LOVEJOY ,  Simcha KNIF ,  Gennadiy KUKARTSEV

IPC分类号： G06Q10/0639 ,  H04L12/18 ,  G06N3/02 ,  G06Q10/0635 ,  G06N20/00 ,  G06N20/20 ,  H04L67/306 ,  G06N20/10 ,  H04L9/40 ,  G06N3/08 ,  G06F3/0482 ,  H04L67/50 ,  G06F18/211 ,  G06F18/20 ,  G06F18/2431 ,  G06N5/01 ,  G06N7/01 ,  G06F3/048 ,  G06F21/55 ,  G06F21/56 ,  G06F21/57 ,  G06F3/0481 ,  G09B7/02 ,  H04L51/18 ,  G06Q50/20

CPC分类号： G06Q10/06398 ,  H04L12/1895 ,  G06N3/02 ,  G06Q10/0635 ,  G06N20/00 ,  G06N20/20 ,  H04L67/306 ,  G06N20/10 ,  H04L63/20 ,  H04L63/0227 ,  G06N3/08 ,  G06F3/0482 ,  H04L67/535 ,  G06F18/211 ,  G06F18/285 ,  G06F18/2431 ,  G06N5/01 ,  G06N7/01 ,  G06F3/048 ,  G06F21/552 ,  G06F21/554 ,  G06F21/56 ,  G06F21/577 ,  G06F3/0481 ,  G09B7/02 ,  H04L51/18 ,  H04L63/0428 ,  H04L63/10 ,  G06Q50/205 ,  H04L63/1416 ,  H04L63/1433 ,  H04L63/1441 ,  H04L41/0681

摘要： Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.

公开(公告)号：US11651239B2

公开(公告)日：2023-05-16

申请号：US16410848

申请日：2019-05-13

申请人： Pearson Education, Inc.

发明人： Sean York ,  Tim Stewart ,  David Strong ,  Scott Hellman ,  William Murray

IPC分类号： G06F16/31 ,  G06F16/33 ,  G06N5/022 ,  G06N5/04 ,  G06N20/00 ,  G06F16/335 ,  G06F16/338 ,  H04L12/46 ,  G06F16/951 ,  G06F16/35 ,  G06F40/211 ,  G06F40/226 ,  G06F40/289 ,  G06Q50/20 ,  H04L45/745 ,  H04L67/61 ,  H04L67/567 ,  G06N5/01 ,  G06N7/01 ,  H04L12/407 ,  H04L41/14 ,  H04L41/5051 ,  H04L43/16 ,  H04L67/146 ,  H04L67/306 ,  G06N3/02 ,  G06N5/02 ,  G06Q30/02 ,  G06Q30/0207 ,  G06Q30/0251 ,  H04L47/10 ,  H04L65/1069 ,  H04L67/1095 ,  H04L67/1097 ,  G06F16/9535 ,  G06F16/2457 ,  H04L67/52 ,  H04L67/50 ,  H04L67/02 ,  H04L67/06 ,  H04L67/10 ,  H04W88/02 ,  H04L41/0806 ,  H04L41/142

CPC分类号： G06N5/022 ,  G06F16/24578 ,  G06F16/322 ,  G06F16/337 ,  G06F16/338 ,  G06F16/3344 ,  G06F16/353 ,  G06F16/355 ,  G06F16/951 ,  G06F16/9535 ,  G06F40/211 ,  G06F40/226 ,  G06F40/289 ,  G06N3/02 ,  G06N5/01 ,  G06N5/02 ,  G06N5/04 ,  G06N7/01 ,  G06N20/00 ,  G06Q30/02 ,  G06Q30/0224 ,  G06Q30/0269 ,  G06Q50/20 ,  H04L12/407 ,  H04L12/4641 ,  H04L41/145 ,  H04L41/5051 ,  H04L43/16 ,  H04L45/74591 ,  H04L47/10 ,  H04L65/1069 ,  H04L67/1095 ,  H04L67/1097 ,  H04L67/146 ,  H04L67/306 ,  H04L67/567 ,  H04L67/61 ,  H04L41/0806 ,  H04L41/142 ,  H04L67/02 ,  H04L67/06 ,  H04L67/10 ,  H04L67/52 ,  H04L67/535 ,  H04W88/02

摘要： Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

公开(公告)号：US11621865B2

公开(公告)日：2023-04-04

申请号：US17162115

申请日：2021-01-29

申请人： Pearson Education, Inc.

发明人： Stephen Carroll ,  David Lovejoy ,  Simcha Knif ,  Gennadiy Kukartsev

IPC分类号： G06F3/048 ,  H04L12/18 ,  G06N3/02 ,  G06Q10/0635 ,  G06K9/62 ,  G06N20/00 ,  G06N20/20 ,  H04L67/306 ,  G06N20/10 ,  H04L9/40 ,  G06N3/08 ,  G06F3/0482 ,  G06N5/00 ,  H04L67/50 ,  G06F21/55 ,  G06F21/56 ,  G06F21/57 ,  G06F3/0481 ,  G09B7/02 ,  H04L51/18 ,  G06Q50/20 ,  G06N7/00 ,  H04L41/0681 ,  G09B5/06

摘要： Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.

公开(公告)号：US11580636B2

公开(公告)日：2023-02-14

申请号：US16953150

申请日：2020-11-19

申请人： Pearson Education, Inc.

发明人： Zhaodong Wang

IPC分类号： G06T7/00 ,  G06T3/40 ,  G06K9/62 ,  G09B19/00 ,  A61B5/00

摘要： Systems and methods of the present invention provide for: receiving a digital image data; modifying the digital image data to reduce a width of a feature within the digital image data; executing a dimension reduction process on the feature; storing a feature vector comprising: at least one feature for each of the received digital image data, and a correct or incorrect label associated with each feature vector; selecting the feature vector from a data store; training a classification software engine to classify each feature vector according to the label; classifying the image data as correct or incorrect according to a classification software engine; and generating an output labeling a second digital image data as correct or incorrect.

公开(公告)号：US11423035B2

公开(公告)日：2022-08-23

申请号：US16533130

申请日：2019-08-06

申请人： Pearson Education, Inc.

发明人： Krzysztof Jedrzejewski ,  Quinn Lathrop ,  Kacper Lodzikowski ,  Tomasz Matysiak ,  Mikolaj Olszewski ,  Mateusz Otmianowski ,  Malgorzata Schmidt

IPC分类号： G06F16/2457 ,  G06F11/34 ,  G06F17/18

摘要： Systems and methods of the present invention may be used to determine metrics and health scores for content that may correspond to an educational course or textbook, which may be in a digital format. The metrics and health scores may be determined at various hierarchical content levels, and may be used to quantitatively assess how well the corresponding content is performing based on responses submitted to assessment item parts of the content by responders. The metrics may include difficulty and discrimination metrics, which may be determined using maximum likelihood estimation methods based on a modified two parameter item response model. A content analytics interface corresponding to a given content element may be generated and displayed via a user device, and may include content health scores of subcontent within that content element. The subcontent may be ordered according to content health score.

公开(公告)号：US20220138881A1

公开(公告)日：2022-05-05

申请号：US17520341

申请日：2021-11-05

申请人： Pearson Education, Inc.

发明人： Peter SABATINI ,  Jodi McPHERSON ,  Andrew PINCKNEY ,  Scott DUSTAN ,  Samuel DOWNS ,  Sara Bakken ,  John SADAUSKAS ,  Heather L. RESER ,  David ARENDS ,  Michael CASKEY ,  Matthew HOFFBERG ,  Benjamin ROGERS ,  Norman LEVESQUE

IPC分类号： G06Q50/20

摘要： A system and method are presented. User metadata defining a set of activities undertaken by a user are received by a processor. The processor determines, based on the set of activities, a skill history for the user. The skill history identifies a first plurality of skills associated with the user. The processor determines a preferred career associated with the user, determines, for the preferred career and by accessing a career skill repository, a second plurality of skills associated with the preferred career, determines a missing skill by comparing the first plurality of skills associated with the user to the second plurality of skills associated with the preferred career to identify the missing skill that is in the second plurality of skills and not in the first plurality of skills and outputs a user interface identifying the missing skill.

公开(公告)号：US11238754B2

公开(公告)日：2022-02-01

申请号：US16373521

申请日：2019-04-02

申请人： Pearson Education, Inc.

发明人： Donald DeLand ,  Samuel Dooley ,  Lisa Eggers-Robertson ,  Michael J. Garcia ,  Charles McQuilkin ,  Wayne Ostler ,  Jennifer Ramirez ,  James Setaro

IPC分类号： G06F40/00 ,  G09B19/02 ,  G06F40/166 ,  G06F40/205

摘要： The present invention automatically replaces in an assessment response a string of mathematical symbols determined to be ambiguous with an unambiguous string of mathematical symbols. An editing tool may receive an assessment response from a client over a communication network. The assessment response may comprise i) a text with a mathematical meaning and ii) a string of mathematical symbols. The text and the string of mathematical symbols represent different non-overlapping characters in the assessment response. The editing tool may match the string of mathematical symbols with a known ambiguous string of mathematical symbols and determine the mathematical meaning in the text of the assessment response. The editing tool may replace the string of mathematical symbols determined to be ambiguous with an unambiguous string of mathematical symbols to generate an updated assessment response. The editing tool may transmit the updated assessment response to the client for display.