US 11,741,847 B2
Selecting lesson asset information based on a learner profile
Matthew Bramlet, Peoria, IL (US); Justin Douglas Drawz, Chicago, IL (US); Steven J. Garrou, Wilmette, IL (US); Joseph Thomas Tieu, Tulsa, OK (US); Joon Young Kim, Broomfield, CO (US); and Gary W. Grube, Barrington Hills, IL (US)
Assigned to Enduvo, Inc., Peoria, IL (US)
Filed by Enduvo, Inc., Peoria, IL (US)
Filed on Mar. 12, 2021, as Appl. No. 17/199,744.
Claims priority of provisional application 63/026,812, filed on May 19, 2020.
Prior Publication US 2021/0366300 A1, Nov. 25, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G09B 5/06 (2006.01); G09B 5/12 (2006.01); G09B 7/00 (2006.01); G09B 7/04 (2006.01); G09B 7/02 (2006.01); G09B 7/06 (2006.01); G06T 19/00 (2011.01); G06F 16/43 (2019.01); G06F 16/438 (2019.01); G06F 16/435 (2019.01)
CPC G09B 5/065 (2013.01) [G06F 16/437 (2019.01); G06F 16/438 (2019.01); G06T 19/003 (2013.01); G09B 5/12 (2013.01); G09B 7/00 (2013.01); G09B 7/04 (2013.01); G09B 7/02 (2013.01); G09B 7/06 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented method of using a computing system, the method comprises:
identifying, by a computing entity of the computing system, an illustrative asset that is common to a first set of assets, a second sets of assets, a third set of assets, and a first set of profile assessment assets, wherein the first set of assets represents a first learning object that includes a first set of knowledge bullet-points for a first piece of information regarding a topic, wherein the second set of assets represents a second learning object that includes a second set of knowledge bullet-points for a second piece of information regarding the topic, wherein the third set of assets represents a third learning object that includes a third set of knowledge bullet-points for a third piece of information regarding the topic;
rendering, by the computing entity, a three-dimensional (3-D) model of the illustrative asset and a three-dimensional (3-D) model of the first set of profile assessment assets with regards to a first set of knowledge test-points associated with the first set of profile assessment assets to transform the first set of knowledge test-points into 3-D frames representing the profile assessment assets;
issuing, by the computing entity, the 3-D frames representing the first set of profile assessment assets to a second computing entity of the computing system;
determining, by the computing entity, a learner profile associated with the second computing entity based on a first assessment response in response to the 3-D frames representing representation of the first set of profile assessment assets, wherein the learner profile characterizes one or more of a level of ability to learn, a level of knowledge retention, and a level of task performance proficiency; and
selecting, by the computing entity, one of the first learning object, the second learning object, and the third learning object as an active learning object based on the learner profile.