Abstract: A method executed by a computing device includes generating a virtual reality environment by detecting an illustrative asset common to first and second sets of assets. The method further includes rendering a three-dimensional (3-D) model of the illustrative asset and the first set of assets to produce 3-D frames of a first descriptive asset for issuance to a another computing device using an illustration approach. The method further includes rendering the three-dimensional (3-D) model of the illustrative asset and the second set of assets to produce 3-D frames of a second descriptive asset for issuance to the other computing device using an updated illustration approach.

Abstract: A method for execution by a computing entity to utilize a lesson package in a virtual world environment includes selecting the lesson package based on a learner requirement for a learner to produce a selected lesson package. The method further includes identifying a set of active virtual world environments that each include a different instance of execution of the selected lesson package. The method further includes selecting one active virtual world environment of the set of active virtual world environments based on at least one of the learner requirement and learning assessment results for the selected lesson package to produce a selected virtual world environment. The method further includes rendering updated first descriptive asset video frames of a first descriptive asset and updated second descriptive asset video frames of a second descriptive asset within the selected virtual world environment to produce a new video stream for the learner.

Abstract: A method includes a computing device of a computing infrastructure interpreting a request from a user computing device of the computing infrastructure to cause a license of a set of learning objects pertaining to a common topic for use by the user computing device to produce licensee information for the set of learning objects. The method further includes identifying a non-fungible token (NFT) associated with the set of learning objects and establishing, with the user computing device, agreed licensing terms utilizing the licensee information and based on available licensing terms of a smart contract for the set of learning objects. The method further includes generating a license smart contract for the set of learning objects to include the licensee information and the agreed licensing terms and causing generation of a license block affiliated with the NFT via a blockchain of the object distributed ledger.

Abstract: A method includes a computing device of a computing infrastructure determining a plurality of effectiveness metrics for learning objects and selecting a set of learning objects based on the effectiveness metrics to produce a lesson package. The method further includes interpreting a request from a learning object owner computing device to make available for licensing a set of learning objects of the lesson package to produce an object basics record of a smart contract for the set of learning objects. The method further includes establishing, with an accreditation authority computing device, accreditation of the lesson package based on the object basics record. When the object basics record is accredited, the method further includes establishing available license terms of the smart contract for the lesson package and causing generation of a non-fungible token associated with the smart contract in an object distributed ledger.

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 identifying a set of common illustrative assets and rendering the assets utilizing a first level of resolution to produce a set of common illustrative assets video frames. The method further includes selecting a subset of the set of common illustrative assets video frames to produce a common portion of video frames and rendering another representation of sets of object representations utilizing the first level of resolution to produce remaining portions of the video frames. The method further includes linking the common portion and the remaining portions to produce a first level of resolution of the virtual reality environment. The method further includes generating a second level of resolution of the virtual reality environment based on a priority asset of the set of common illustrative assets.

Abstract: A method includes a computing device generating a 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 the computing device outputting the virtual reality environment to a requesting entity for interactive consumption. The method further includes the computing device generating a consumption block to indicate performance aspects of the interactive consumption by the requesting entity. The method further includes the computing device causing affiliation of the consumption block with a non-fungible token (NFT) associated with the requesting entity on a blockchain of an object distributed ledger.

Abstract: A method executed by a computing device includes generating a virtual reality environment utilizing a group of object representations by identifying a priority asset of a set of common illustrative assets for the object representations. The method further includes rendering the priority asset utilizing a first level of resolution to produce a set of priority asset video frames and Selecting a subset of the set of priority asset video frames to produce a common portion of video frames for the virtual reality environment. The method further includes rendering other representations of the group of object representations utilizing a second level of resolution to produce remaining portions of the video frames for the virtual reality environment. The method further includes linking the common portion and the remaining portion of the video frames to produce the virtual reality environment.

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 executed by a computing entity includes generating a virtual reality environment utilizing a group of object representations by rendering a representation of a first set of object representations and a second set of object representations to produce first portrayal 3-D video frames of a first piece of information for the virtual reality environment. The method further includes determining whether a second piece of information has been selected based on a second cue. When the second piece of information has been selected the method further includes rendering another representation of the second set of object representations and the first set of object representations to produce second portrayal 3-D video frames of the second piece of information for the virtual reality environment.

Abstract: A method includes a computing device of a computing infrastructure interpreting a request from a learning object owner computing device to make available for licensing a set of learning objects to produce an object basics record of a smart contract for the set of learning objects. The method further includes verifying, with an accreditation authority computing device of the computing infrastructure, validity of the object basics record. When the object basics record is valid, the method further includes establishing available license terms of the smart contract for the set of learning objects, establishing available payment terms of the smart contract for the set of learning objects, and causing generation of a non-fungible token associated with the smart contract in an object distributed ledger.

Abstract: A method executed by a computing entity includes generating a virtual reality environment utilizing a group of object representations by rendering an assessment asset for a first set of object representations to produce first portrayal 3-D video frames of a first piece of information for the virtual reality environment. The method further includes obtaining a first conveyance effectiveness level with regards to the first piece of information based on the first portrayal 3-D video frames within the virtual reality environment. When the first conveyance effectiveness level is less than a minimum conveyance effectiveness threshold level, the method further includes rendering an updated first set of object representations based on the first set of object representations and the first conveyance effectiveness level to produce updated first portrayal 3-D video frames for the first piece of information within 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 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 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 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.