Abstract: A method includes a computing device interpreting a request for a requesting entity to access a set of learning objects pertaining to a common topic represented in a virtual reality environment to produce a set of requested learning object identifiers. The method further includes determining whether a license smart contract for the set of learning objects associated with a non-fungible token of the object distributed ledger affirms access by the requesting entity to the set of learning objects. When access is affirmed, the method further includes generating the virtual reality environment utilizing a group of object representations in accordance with interaction information for at least some of the object representations of the group of object representations. The method further includes outputting the virtual reality environment to the requesting entity for interactive consumption.

Abstract: A method executed by a computing entity includes generating a virtual reality environment utilizing a group of object representations by obtaining a first conveyance effectiveness level for a first portrayal of a first set of object representations within the virtual reality environment. The method further includes determining an updated first set of object representations based on the first conveyance effectiveness level. The method further includes rendering a representation of the updated first set of object representations to produce a first portion of video frames for a second portrayal of the first set of object representations for the virtual reality environment. The method further includes linking the first portion of the video frames with a second portion of video frames for a second portrayal of a second set of object representations for the virtual reality environment to produce the virtual reality environment.

Abstract: A method for execution by a computing entity includes obtaining first and second learning objects regarding a topic. The method further includes deriving a first set of knowledge test-points for the first learning object regarding the topic based on a first set of knowledge bullet-points. The method further includes deriving a second set of knowledge test-points for the second learning object regarding the topic based on the second set of knowledge bullet-points. The method further includes generating a first knowledge assessment asset for the first learning object regarding the topic based on the first set of knowledge test-points, an illustrative asset, and a first descriptive asset of the first learning object. The method further includes generating a second knowledge assessment asset for the second learning object regarding the topic based on the second set of knowledge test-points, the illustrative asset, and a second descriptive asset of the second learning object.

Abstract: A method for utilizing a multi-disciplined learning tool regarding a topic includes generating a fundamental illustrative model based on illustrative assets of a lesson that includes learning objects. The method further includes modifying the fundamental illustrative model to illustrate first and second sets of teaching assets of a first learning object to produce first and second learning illustrative models. When enabled, the method further includes modifying the fundamental illustrative model to illustrate third and fourth sets of teaching assets of a second learning object to produce third and fourth learning illustrative models. The method further includes outputting at least the first and second learning illustrative models.

Abstract: A method for improving learning comprehension regarding a lesson includes modifying a fundamental illustrative model to illustrate a first set of learning assets of a first learning object using an illustration approach to produce a first learning illustrative model. The lesson includes learning objects which includes the first learning object. The fundamental illustrative model is based on illustrative assets of the lesson. The method further includes obtaining a first comprehension evaluation for the first learning illustrative model and modifying the illustration approach based on the first comprehension evaluation for the first learning illustrative model to produce an updated illustration approach. The method further includes modifying the fundamental illustrative model to illustrate a second set of learning assets of a second learning object using the updated illustration approach to produce a second learning illustrative model.

Abstract: A method for generating a virtual reality environment includes detecting an illustrative asset that is common to a first set of assets and a second sets of assets. The method further includes rendering a three-dimensional (3-D) model of the illustrative asset and a 3-D model of the first set of assets using an illustration approach to produce 3-D frames of a first descriptive asset. The method further includes obtaining an evaluation of the first descriptive asset based on a first assessment response associated with a portrayal of the first descriptive asset. The method further includes modifying the illustration approach based on the evaluation to produce an updated illustration approach. The method further includes rendering the 3-D model of the illustrative asset and a 3-D model of the second set of assets using the updated illustration approach to produce 3-D frames of a second descriptive asset.

Abstract: A method for execution by a computer generating a virtual reality environment utilizing a group of object representations by identifying an exclusion asset and modifying a set of common illustrative assets to exclude the exclusion asset to produce a redacted set of common illustrative assets. The method further includes rendering a portion of the redacted set of common illustrative asset to produce a redacted set of common illustrative asset video frames and selecting a subset of the redacted set of common illustrative asset video frames to produce a common portion of video frames for the virtual reality environment. The method further includes rendering representations of object representations to produce remaining portions of the video frames for the virtual reality environment. The method further includes linking the common portion and the remaining portions of the video frames to produce the virtual reality environment for interactive consumption.

Abstract: A method for creating an assessment within a multi-disciplined learning tool regarding a topic includes deriving a first set of knowledge test-points for a first learning object regarding the topic based on a first set of knowledge bullet-points, an illustrative asset, and a first descriptive asset of the first learning object. The method further includes deriving a second set of knowledge test-points for a second learning object regarding the topic based on a second set of knowledge bullet-points, the illustrative asset, and a second descriptive asset of the second learning object. The method further includes generating a knowledge assessment asset based on the first and second knowledge test-points.

Abstract: A method for assessing learning comprehension regarding a topic includes modifying a fundamental illustrative model to illustrate a first set of assessment assets of a first learning object of learning objects to produce a first assessment illustrative model. The fundamental illustrative model is based on illustrative assets of a lesson that includes the learning objects. The method further includes obtaining a first assessment response for the first assessment illustrative model. When the first assessment response is favorable, the method further includes modifying the fundamental illustrative model to illustrate a second set of assessment assets of a second learning object of the learning objects to produce a second assessment illustrative model and obtaining a second assessment response for the second assessment illustrative model.

Abstract: A method for improving learning comprehension regarding a lesson includes issuing a first learning illustrative model to a set of learner computing entities. The method further includes obtaining a first comprehension evaluation associated with a first learner computing entity for the first learning illustrative model. The method further includes obtaining a second comprehension evaluation associated with a second learner computing entity for the first learning illustrative model. The method further includes modifying the fundamental illustrative model to illustrate a second set of learning assets of a second learning object based on at least one of the first and second comprehension evaluations to produce a second learning illustrative model. The method further includes sending the second learning illustrative model to the set of learner computing entities.

Abstract: A method for execution by a computing entity for creating a multi-disciplined learning tool regarding a topic includes obtaining a first learner approach associated with a first learner of a set of learners. The method further includes creating first lesson asset information regarding the topic for the first learner based on the first learner approach associated with the first learner. The method further includes sending the first lesson asset information to a first learner computing entity associated with the first learner.

Abstract: A method executed by a computing device includes generating a virtual reality environment utilizing first and second sets of object representations by identifying a common illustrative asset based on the first and second set of object representations. The method further includes rendering the common illustrative asset to produce a set of illustrative asset video frames for selecting a common portion of video frames for the virtual reality environment. The method further includes rendering another representation of the first set of object representations to produce a first remaining portion of the video frames and rendering another representation of the second set of object representations to produce a second remaining portion of the video frames. The method further includes linking the common portion, the first remaining portion, and the second remaining portion of the video frames to produce the virtual reality environment.

Abstract: A method for execution by a computing entity for creating first and second learning objects for an assembly topic. The method further includes rendering an illustrative asset for the learning objects to produce a set of illustrative asset video frames. The method further includes including a common subset of the illustrative asset video frames along with unique remaining portions of descriptive asset video frames in the learning objects. The method further includes outputting the descriptive asset video frames to facilitate interactive consumption by a learning entity. The method further includes determining learning assessment results associated with the interactive consumption by the learning entity.

Abstract: A method for execution by a computing entity for creating a learning tool regarding a topic includes issuing a representation of a first set of physicality assessment assets of a first learning object to a second computing entity. The method further includes obtaining a first assessment response in response to the representation of the first set of physicality assessment assets. The method further includes determining an undesired performance aspect of the first assessment response. The method further includes updating at least one of the first learning object and a second learning object based on the undesired performance aspect to facilitate improved performance of a subsequent assessment response.

Abstract: A method for execution by a computing entity for creating a learning tool regarding a topic includes interpreting environment sensor information to identify an environment object and detecting an impairment associated with the environment object. The method further includes selecting first and second learning objects for the impairment. The method further includes selecting a common subset of a set of illustrative asset video frames to produce first portions of first and second descriptive asset video frames. The method further includes producing remaining portions of the first and descriptive asset video frames using the first and second learning objects. The method further includes linking the first and second descriptive asset video frames to form at least a portion of the learning tool.

Abstract: A method for execution by a computing entity for creating a multi-disciplined learning tool regarding a topic includes obtaining a first learner approach associated with a first learner of a set of learners. The method further includes creating first lesson asset information regarding the topic for the first learner based on the first learner approach associated with the first learner. The method further includes sending the first lesson asset information to a first learner computing entity associated with the first learner.

Abstract: A method for execution by a computing entity for creating a learning tool regarding a topic includes issuing a representation of a first set of physicality assessment assets of a first learning object to a second computing entity. The method further includes obtaining a first assessment response in response to the representation of the first set of physicality assessment assets. The method further includes selecting one of the first learning object, a second learning object, and a third learning object as an active learning object based on the first assessment response.

Abstract: A method for execution by a computing entity for creating a learning tool regarding a topic includes issuing a representation of a first set of profile assessment assets of a first learning object to a second computing entity. The method further includes determining a learner profile associated with the second computing entity based on a first assessment response in response to the representation of the first set of profile assessment assets. The method further includes selecting one of the first learning object, a second learning object, and a third learning object as an active learning object based on the learner profile.

Abstract: A method for execution by a computing entity for creating a learning tool regarding a topic includes obtaining a first assessment response for a first set of knowledge assessment assets of a first learning object of learning objects. The method further includes selecting one of the first learning object, a second learning object, and a third learning object as an active learning object based on the first assessment response.

Abstract: A method for execution by a computing entity includes obtaining first and second learning objects regarding a topic. The method further includes deriving a first set of knowledge test-points for the first learning object regarding the topic based on a first set of knowledge bullet-points. The method further includes deriving a second set of knowledge test-points for the second learning object regarding the topic based on the second set of knowledge bullet-points. The method further includes generating a first knowledge assessment asset for the first learning object regarding the topic based on the first set of knowledge test-points, an illustrative asset, and a first descriptive asset of the first learning object. The method further includes generating a second knowledge assessment asset for the second learning object regarding the topic based on the second set of knowledge test-points, the illustrative asset, and a second descriptive asset of the second learning object.