US 12,444,314 B2
Generative artificial intelligence learning method and system for an on-line course
Ann Marie Sastry, Ann Arbor, MI (US)
Assigned to Amesite Inc., Detroit, MI (US)
Filed by Amesite Inc., Ann Arbor, MI (US)
Filed on Feb. 28, 2023, as Appl. No. 18/176,303.
Application 18/176,303 is a continuation in part of application No. 17/016,072, filed on Sep. 9, 2020, granted, now 11,620,916.
Claims priority of provisional application 62/897,863, filed on Sep. 9, 2019.
Prior Publication US 2023/0215282 A1, Jul. 6, 2023
Int. Cl. G09B 5/00 (2006.01); G06N 20/00 (2019.01)
CPC G09B 5/00 (2013.01) [G06N 20/00 (2019.01)] 16 Claims
OG exemplary drawing
 
1. A system for real time knowledge of current events, the system comprising:
a network of computers interconnect to another to form a world wide network of computers;
a processing unit coupled to the network of computers using a communication bus;
an information storage system coupled to the network of computers and the processing unit, the information storage system comprising a plurality of documents;
a learning management system coupled to the network of computers, the learning management system comprising a program related to a topic for a course, the program comprising a plurality of pre-defined templates for the course, and a plurality of non-defined templates for the course;
an artificial intelligence processing engine coupled to the processing unit;
a learning content robot coupled to the information storage system, the learning content robot coupled to the artificial intelligence processing engine, the artificial intelligence processing engine comprising a natural language processing engine being coupled to the information storage system, the natural language processing system being configured to:
construct a plurality of occurrence vector spaces respectively representing the plurality of documents, each occurrence vector space indicating respective numbers of occurrences in the respective document of each of a plurality of words included in a curated list,
generate a respective plurality of importance vector spaces for the plurality of documents from the plurality of occurrence vector spaces,
determine a similarity for each of the plurality of documents, each similarity being between the importance vector space of the corresponding document and a reference vector space corresponding to a numbers of occurrences in a reference document of each of the plurality of words included in the curated list,
select a document based upon the similarity of the document, and
transfer the selected document to the learning management system; and
a configuration engine provided in the learning management system to populate the non-defined template with the selected document for the course to create a currently defined template using the selected document for the topic; and
a content robot configured with the artificial intelligence engine to generate content for a user.