Patents Assigned to Accella Learning
  • Patent number: 9542853
    Abstract: An intelligent tutoring system can be implemented using filters, predictive modeling, and a knowledge warehouse, which allows content to be dynamically selected for individualized presentation to a learner. Such an intelligent tutoring system can be implemented using a variety of techniques, including polynomial vector equations in modeling, extensible markup language storage formats for presentation data, and a knowledge warehouse with information stored in data cubes.
    Type: Grant
    Filed: January 17, 2014
    Date of Patent: January 10, 2017
    Assignee: Accella Learning, LLC
    Inventor: Bryan P. Bergeron
  • Patent number: 9230450
    Abstract: Simulation equipment can be integrated into courseware presented to a student using technology which, based on the native output of a system running the courseware, can generate control signals for the simulation equipment. Such signals could then be sent to the simulation equipment without requiring the designer of the courseware to create low level programming code to communicate directly with the simulation equipment itself.
    Type: Grant
    Filed: September 30, 2011
    Date of Patent: January 5, 2016
    Assignee: Accella Learning
    Inventor: Bryan P. Bergeron
  • Patent number: 8684747
    Abstract: An intelligent tutoring system can be implemented using filters, predictive modeling, and a knowledge warehouse, which allows content to be dynamically selected for individualized presentation to a learner. Such an intelligent tutoring system can be implemented using a variety of techniques, including polynomial vector equations in modeling, extensible markup language storage formats for presentation data, and a knowledge warehouse with information stored in data cubes.
    Type: Grant
    Filed: December 14, 2012
    Date of Patent: April 1, 2014
    Assignee: Accella Learning, LLC
    Inventor: Bryan Bergeron
  • Patent number: 8356997
    Abstract: An intelligent tutoring system can be implemented using filters, predictive modeling, and a knowledge warehouse, which allows content to be dynamically selected for individualized presentation to a learner. Such an intelligent tutoring system can be implemented using a variety of techniques, including polynomial vector equations in modeling, extensible markup language storage formats for presentation data, and a knowledge warehouse with information stored in data cubes.
    Type: Grant
    Filed: December 4, 2008
    Date of Patent: January 22, 2013
    Assignee: Accella Learning, LLC
    Inventor: Bryan Bergeron