Pearson Education, Inc.

Other

Johann A Larusson

James Mills

Patrick M Supanc

Pedro Martello

Robyn L Lewis

David Strong

John Behrens

Timothy J Stewart

Quinn N Lathrop

Luis Manuel Oros

Ilya Goldin

James Arthur Farley

Thomas McTavish

Jose Gonzalez-Brenes

Scott Hellman

Peter Foltz

Jacob Anderson

Gennadiy Kukartsev

Yun Jin Rho

José Pablo González Brenes

Alex Nickel

James David Corbin

Todd Fredrich

Daniel Tonks

Jake Noble

Brandon M White

Yetian Chen

Kristina Evans

Systems and methods for automatic generating of a Bayes net content graph are disclosed herein. The system can include a memory including a mapping matrix. The system can include at least one server. The at least one server can generate a user matrix having n columns and p rows. In some aspects, each of the n columns is associated with a student and each of the p rows is associated with a content item. The at least one server can: store the user matrix in the memory; retrieve the mapping matrix from the memory; iteratively identify prerequisite relationships between the skills identified in the user matrix; generate edges between the skills in the user matrix based on the iteratively identified prerequisite relationships; and orient the edges between the skill.

Methods for automatically generating Bayes nets using historical data

Systems and methods for virtual reality interaction evaluation are disclosed herein. The system can include a memory including: an interaction sub-database containing information relating to user interactions with at least one virtual asset in a virtual environment, and a content library database containing a plurality of virtual assets and information relating to those virtual assets. The system can include at least one server that can determine user engagement with at least one of the plurality of virtual assets, receive data indicative of an interaction with at least one of the plurality of virtual assets, and determine an interaction type of the interaction associated with the received data. The server can perform a speech capture and analysis process, perform a manipulation process, generate an evaluation of the user interactions with the at least one of the plurality of virtual assets, and deliver the generated evaluation.

Systems and methods for virtual reality-based grouping evaluation

Systems and methods for automated objective identification are disclosed herein. The system can include a user device and a memory. The memory can include a filed database including field data associated with previously identified objectives. The memory can include a scoring database containing a machine-learning scoring algorithm. The system can include at least one server that can receive an identifier of a content portion, extract field information identifying at least one attribute of the identified content portion from the content portion, input extracted field information into the machine-learning scoring algorithm; receive identification of objectives forming a set of objectives from the machine-learning scoring algorithm; sort the objectives forming the set of objectives according to scores generated for each of the objectives in the set of objectives; and output the sorted objectives to the user device.

System and methods for automatic machine-learning based objective recommendation

Platform-agnostic Bayes net content aggregation system and method

Systems and methods for simplifying data structuring in a database by applying a first content structure to interrelate a plurality of data packets and refining the interrelations based on data packet attributes are disclosed herein. The system can include a memory including: a structure database that can include a content structure including a plurality of content categories; and a content library database. The content library database can include a plurality of data packets. The system can include a server that can receive a plurality of data packets, organize the content according to the content structure, and update the organization of at least some of the data packets based on a determined attribute of those data packets.

Content database generation

Systems and methods for increasing data transmission rates through a content distribution network by generating a customized aggregation comprising data packets selected to maximize a data acceptance rate are disclosed herein. The system can include a memory including a content library database having a plurality of data packets and a user profile database. The system can further include a server that can: receive aggregation information identifying a set of delivery data packets and a set of assessment data packets; receive data packet data from the content library database; identify a recipient cohort; determine a recipient cohort lapsed time; generate an estimate of data packet transfer time for the aggregation; generate an updated aggregation based on the recipient cohort lapsed time and the estimate of data packet transfer time; and provide the updated aggregation to the user devices.

System and method for increasing data transmission rates through a content distribution network with customized aggregations

A method/apparatus/system for generating a recommendation based on user interactions with nodes and associated tasks within a prerequisite graph. The recommendation is generated by identifying the user's current position within the prerequisite graph and identifying potential next nodes to which the user could move. Based on the user's past interactions with nodes and/or tasks within the prerequisite graph, the user's likelihood of successfully completing the potential next node is calculated, and a recommendation is made based on this calculated likelihood of the user successfully completing the potential next node.

Network-probability recommendation system

Methods for customizing an educational experience of a gamer are provided. The method can include the generating of learning DNA which can include information relating to the gamer. The learning DNA can be generated by the aggregation of data received from the gamer, collected from other data sources, and generated based on the interaction of the user with an evaluation and rectification system. The method can further include selecting a mission for a user based on the learning DNA and/or information relating to the user.

Evaluation and rectification system

This paper proposes a new method for the objective evaluation of student work through the identification of original content in writing assignments. Using WordNet as a lexical reference, this process allows instructors to track how key phrases are employed and evolve over the course of a student's writing, and to automatically visualize the point at which the student's language first demonstrates original thought, phrased in their own, original words. After sketching the method for isolating 'points of originality,' the paper provides a method for visualizing the resulting information. By visualizing otherwise subjective information in a way that is objectively intelligible, the goal is to provide educators with the ability to monitor student investment in concepts from the course syllabus, and to extend or modify the boundaries of the syllabus in anticipation of pre-existing knowledge or trends in interest.

System and method for detecting a point of originality in a writing

Growing community of inventors

Waltham, MA, United States of America

Johann A Larusson