US 11,948,475 B2
Adaptive training system, method and apparatus
Mark Falash, Sun City West, AZ (US); Eytan Pollak, Oviedo, FL (US); Michael Barnoske, Orlando, FL (US); George Rovny, Weatherford, TX (US); Coy Stewart, Carrollton, TX (US); and Robert Ducharme, Bedford, TX (US)
Assigned to CAE USA, Inc., Tampa, FL (US)
Filed by Mark Falash, Sun City West, AZ (US); Eytan Pollak, Oviedo, FL (US); Michael Barnoske, Orlando, FL (US); George Rovny, Weatherford, TX (US); Coy Stewart, Carrollton, TX (US); and Robert Ducharme, Bedford, TX (US)
Filed on May 19, 2020, as Appl. No. 16/878,562.
Application 16/878,562 is a continuation of application No. 15/702,372, filed on Sep. 12, 2017, granted, now 10,685,582, issued on Jun. 16, 2020.
Application 15/702,372 is a continuation of application No. 14/366,616, granted, now 9,786,193, issued on Oct. 10, 2017, previously published as PCT/US2014/022161, filed on Mar. 7, 2014.
Application 14/366,616 is a continuation in part of application No. 14/118,877, granted, now 10,311,742, issued on Jun. 4, 2019, previously published as PCT/US2012/053700, filed on Sep. 4, 2012.
Claims priority of provisional application 61/530,348, filed on Sep. 1, 2011.
Prior Publication US 2021/0005044 A1, Jan. 7, 2021
Prior Publication US 2021/0118256 A9, Apr. 22, 2021
Int. Cl. G09B 9/00 (2006.01); G07F 9/10 (2006.01); G07F 17/00 (2006.01); G09B 5/06 (2006.01); G09B 7/00 (2006.01); G09B 9/02 (2006.01); G09B 9/24 (2006.01); G09B 9/30 (2006.01); B65H 75/48 (2006.01); G06F 3/04817 (2022.01); G06F 3/0482 (2013.01); G06Q 20/18 (2012.01); G06Q 20/20 (2012.01); H02J 7/00 (2006.01)
CPC G09B 9/24 (2013.01) [G07F 9/10 (2013.01); G07F 17/0014 (2013.01); G07F 17/0021 (2013.01); G09B 5/065 (2013.01); G09B 7/00 (2013.01); G09B 9/02 (2013.01); G09B 9/302 (2013.01); B65H 75/486 (2013.01); G06F 3/04817 (2013.01); G06F 3/0482 (2013.01); G06Q 20/18 (2013.01); G06Q 20/202 (2013.01); H02J 7/0045 (2013.01)] 28 Claims
OG exemplary drawing
 
1. A system for training a student, said system comprising:
a computer system in data communication with a training station that is configured to interact with the student, the computer system having a rules engine operative thereon and computer accessible data storage operatively associated therewith and storing electronically accessible data that comprises:
learning object data comprising a plurality of learning objects each configured to provide interaction with the student at the training station; and
rule data defining a plurality of rules accessed by the rules engine, said rule data including, for each rule, respective if-portion data defining a condition of data and then-portion data defining an action to be performed at the training station,
wherein:
for at least some of said rules, the respective action comprising output of a respective one of the learning objects so as to interact with the student; and
said rules engine causing the computer system to perform the action when the condition of data is present in the data storage;
wherein the computer system further comprises an assessment module for assessing knowledge, skill and ability (KSA) of the student; and
wherein biometric data is received from a biometric sensor configured to monitor the student and generate biometric data, and wherein the rules include one or more rules that initiate actions responsive to a data condition wherein the biometric data indicates circumstances for a break, and said actions include offering the student a break, and
wherein the assessment module is configured to use the biometric data to assess the KSA of the student based on the biometric data.