Patents by Inventor Todd Fredrich

Todd Fredrich has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10839304
    Abstract: 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.
    Type: Grant
    Filed: January 23, 2018
    Date of Patent: November 17, 2020
    Assignee: PEARSON EDUCATION, INC.
    Inventors: James David Corbin, Johann Larusson, David Strong, Todd Fredrich, Timothy Stewart
  • Publication number: 20180211177
    Abstract: 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.
    Type: Application
    Filed: January 23, 2018
    Publication date: July 26, 2018
    Inventors: James David Corbin, II, Johann Larusson, David Strong, Todd Fredrich, Timothy Stewart
  • Publication number: 20180211554
    Abstract: 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.
    Type: Application
    Filed: January 23, 2018
    Publication date: July 26, 2018
    Inventors: James David Corbin, II, Johann Larusson, David Strong, Todd Fredrich, Timothy Stewart