US 11,676,501 B2
Modifying a lesson package
Matthew Bramlet, Peoria, IL (US); Justin Douglas Drawz, Chicago, IL (US); Steven J. Garrou, Wilmette, IL (US); Joseph Thomas Tieu, Tulsa, OK (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 Oct. 14, 2020, as Appl. No. 17/69,939.
Claims priority of provisional application 62/978,114, filed on Feb. 18, 2020.
Prior Publication US 2021/0256860 A1, Aug. 19, 2021
Int. Cl. G09B 5/12 (2006.01); G09B 5/02 (2006.01); G06F 16/22 (2019.01); G06F 40/166 (2020.01); G09B 5/08 (2006.01); G09B 7/00 (2006.01)
CPC G09B 5/12 (2013.01) [G06F 16/2272 (2019.01); G06F 40/166 (2020.01); G09B 5/02 (2013.01); G09B 5/08 (2013.01); G09B 7/00 (2013.01)] 12 Claims
OG exemplary drawing
 
1. A computer-implemented method of using a computing system, the method comprises:
generating, by a computing entity of the computing system, a combination of a multi-dimensional representation of a real-world environment and an augmented reality overlay to produce a virtual reality environment, wherein the generating includes:
detecting, by the computing entity, an illustrative asset that is common to a first set of assets and a second set of assets for the augmented reality overlay and to a real-world object of the real-world environment, wherein the first set of assets represents a first learning object that includes a first set of 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 bullet-points for a second 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 assets with regards to the first set of knowledge bullet-points to transform the first set of knowledge bullet-points into 3-D frames of a first descriptive asset, wherein the first descriptive asset represents the first learning object;
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 assets with regards to a first set of knowledge test-points for the first learning object regarding the topic based on the first set of knowledge bullet-points to transform the first set of knowledge test-points into 3-D frames of a first knowledge assessment asset;
rendering, by the computing entity, the three-dimensional (3-D) model of the illustrative asset and a three-dimensional (3-D) model of the second set of assets with regards to the second set of knowledge bullet-points to transform the second set of knowledge bullet-points into 3-D frames of a second descriptive asset, wherein the second descriptive asset represents the second learning object; and
rendering, by the computing entity, the three-dimensional (3-D) model of the illustrative asset and the three-dimensional (3-D) model of the second set of assets with regards to a second set of knowledge test-points for the second learning object regarding the topic based on the second set of knowledge bullet-points to transform the second set of knowledge test-points into 3-D frames of a second knowledge assessment asset.