David H Strong

US Patent:

20180211177, Jul 26, 2018

Filed:

Jan 23, 2018

Appl. No.:

15/878302

Inventors:

- New York NY, US
Johann Larusson - Phoenix AZ, US
David Strong - Wheat Ridge CO, US
Todd Fredrich - Littleton CO, US
Timothy Stewart - Aurora CO, US

International Classification:

G06N 7/00
G06F 17/30

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.

US Patent:

20180211554, Jul 26, 2018

Filed:

Jan 23, 2018

Appl. No.:

15/878272

Inventors:

- New York NY, US
Johann Larusson - Phoenix AZ, US
David Strong - Wheat Ridge CO, US
Todd Fredrich - Littleton CO, US
Timothy Stewart - Aurora CO, US

International Classification:

G09B 7/04
G06K 9/62
G06N 7/00
G09B 5/06
G09B 7/07

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.