The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 10, 2022

Filed:

Mar. 19, 2019
Applicant:

Redcritter Corp., Flower Mound, TX (US);

Inventors:

Robert M. Beaty, Flower Mound, TX (US);

Randy M. Whelan, Coppell, TX (US);

Erika D. Lambert, Flower Mound, TX (US);

David R. Jenness, Flower Mound, TX (US);

Dan D. Hoffman, Flower Mound, TX (US);

James L. Rockett, Jr., Carrollton, TX (US);

Assignee:

RedCritter Corp., Flower Mound, TX (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G09B 7/00 (2006.01); G09B 7/06 (2006.01);
U.S. Cl.
CPC ...
G09B 7/00 (2013.01); G09B 7/06 (2013.01);
Abstract

A platform can be employed to implement a personalized learning system that is simple to use, streamlined and scalable thereby enabling such systems to be seamlessly implemented in any learning environment. The platform can be implemented in a client-server environment in which a server or servers maintain a number of data structures which can be used to define students, assignments, classes, flashcards, videos, and learning standards definitions, among many others. A number of backend processes, websites, and web APIs can be configured to allow users to access the content of these data structures as well as to create new entries in these data structures to thereby facilitate the implementation of a personalized learning system that incorporates automation and machine learning in a school, workplace or other learning environment.


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