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US 11,900,829 B2Granted
Selecting lesson asset information
AssigneeEnduvo, Inc.
InventorsMatthew Bramlet, Justin Douglas Drawz, Steven J. Garrou, Joseph Thomas Tieu, Joon Young Kim, Gary W. Grube
Life of this patent
Estimating the term…
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.
Claims18
A method for creating a learning tool regarding a topic, the method comprises:
- identifying, by a computing entity of a 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 knowledge 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 the 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, wherein the first set of knowledge assessment assets includes a first set of knowledge test-points for the first piece of information regarding the topic;
- rendering, by the computing entity, a model of the illustrative asset and a model of the first set of knowledge assessment assets with regards to the first set of knowledge test-points to transform the first set of knowledge test-points into video frames representing the first set of knowledge assessment assets;
- issuing, by the computing entity, the video frames representing the first set of knowledge assessment assets to a second computing entity of the computing system;
- obtaining, by the computing entity, a first assessment response for the first set of knowledge assessment assets for the first learning object;
- 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 first assessment response.
3 more elements
A computing entity of a computing system comprises:
- an interface;
- a local memory;
- and
- a processing module operably coupled to the interface and the local memory, wherein the processing module functions to:
- identify 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 knowledge 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 the 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, wherein the first set of knowledge assessment assets includes a first set of knowledge test-points for the first piece of information regarding the topic;
- render a model of the illustrative asset and a model of the first set of knowledge assessment assets with regards to the first set of knowledge test-points to transform the first set of knowledge test-points into video frames representing the first set of knowledge assessment assets;
- issue, via the interface, the video frames representing the first set of knowledge assessment assets to a second computing entity of the computing system;
- obtain a first assessment response for the first set of knowledge assessment assets for the first learning object;
- and
- select one of the first learning object, the second learning object, and the third learning object as an active learning object based on the first assessment response.
7 more elements
A non-transitory computer readable memory of a first computing entity of a computing system comprises:
- a first memory element that stores operational instructions that, when executed by a processing module, causes the processing module to:
- identify 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 knowledge 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 the 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, wherein the first set of knowledge assessment assets includes a first set of knowledge test-points for the first piece of information regarding the topic;
- render a model of the illustrative asset and a model of the first set of knowledge assessment assets with regards to the first set of knowledge test-points to transform the first set of knowledge test-points into video frames representing the first set of knowledge assessment assets;
- issue the video frames representing the first set of knowledge assessment assets to a second computing entity of the computing system;
- and
- obtain a first assessment response for the first set of knowledge assessment assets for the first learning object;
- and
- a second memory element that stores operational instructions that, when executed by the processing module, causes the processing module to:
- select one of the first learning object, the second learning object, and the third learning object as an active learning object based on the first assessment response.
6 more elements
Dependencies are inferred from the claim text.