Creating a multi-disciplined learning tool

Abstract

A method for creating a multi-disciplined learning tool regarding a topic includes creating first-passes of a first and second learning objects for first and second pieces of information regarding the topic to include first and second sets of knowledge bullet-points regarding the first and second pieces of information. The method further includes obtaining an illustrative asset based on the first and second set of knowledge bullet-points. The method further includes creating second-passes of the first and second learning objects to further include first and second descriptive assets regarding the first and second pieces of information based on the first and second sets of knowledge bullet-points and the illustrative asset. The method further includes linking the second-passes of the first and second learning objects together to form at least a portion of the multi-disciplined learning tool.

What is claimed is: 
     
         1 . A method for creating a multi-disciplined learning tool regarding a topic, the method comprises:
 creating, by a computing entity, a first-pass of a first learning object for a first piece of information regarding the topic to include a first set of knowledge bullet-points regarding the first piece of information;   creating, by the computing entity, a first-pass of a second learning object for a second piece of information regarding the topic to include a second set of knowledge bullet-points regarding the second piece of information;   obtaining, by the computing entity, an illustrative asset based on the first and second set of knowledge bullet-points, wherein the illustrative asset depicts an aspect regarding the topic pertaining to the first and second pieces of information;   creating, by the computing entity, a second-pass of the first learning object to further include a first descriptive asset regarding the first piece of information based on the first set of knowledge bullet-points and the illustrative asset;   creating, by the computing entity, a second-pass of the second learning object to further include a second descriptive asset regarding the second piece of information based on the second set of knowledge bullet-points and the illustrative asset; and   linking, by the computing entity, the second-passes of the first and second learning objects together to form at least a portion of the multi-disciplined learning tool.   
     
     
         2 . The method of  claim 1 , wherein the obtaining the illustrative asset comprises one or more of:
 interpreting instructor input information to identify the illustrative asset;   identifying a first object of the first and second set of knowledge bullet-points as the illustrative asset; and   determining the illustrative asset based on the first object of the first and second set of knowledge bullet-points.   
     
     
         3 . The method of  claim 1  further comprises:
 generating, by the computing entity, a representation of the first descriptive asset; and 
 updating, by the computing entity, the first learning object with the representation of the first descriptive asset to produce the second-pass of the first learning object. 
 
     
     
         4 . The method of  claim 1 , wherein the linking the second-passes of the first and second learning objects together to form the at least the portion of the multi-disciplined learning tool comprises:
 generating index information for the second-passes of first and second learning objects to indicate sharing of the illustrative asset; and   facilitating storage of the index information and the first and second learning objects in a learning assets database to enable subsequent utilization of the multi-disciplined learning tool.   
     
     
         5 . The method of  claim 1 , wherein the creating the second-pass of the first learning object comprises:
 generating a representation of the illustrative asset based on a first knowledge bullet-point of the first set of knowledge bullet-points.   
     
     
         6 . The method of  claim 5  further comprises:
 generating the first descriptive asset utilizing the representation of the illustrative asset. 
 
     
     
         7 . The method of  claim 5  further comprises:
 outputting the representation of the illustrative asset as instructor output information; 
 receiving instructor input information in response to the instructor output information; and 
 interpreting the instructor input information to produce the first descriptive asset. 
 
     
     
         8 . A computing device 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:
 create a first-pass of a first learning object for a first piece of information regarding a topic to include a first set of knowledge bullet-points regarding the first piece of information; 
 create a first-pass of a second learning object for a second piece of information regarding the topic to include a second set of knowledge bullet-points regarding the second piece of information; 
 obtain an illustrative asset based on the first and second set of knowledge bullet-points, wherein the illustrative asset depicts an aspect regarding the topic pertaining to the first and second pieces of information; 
 create a second-pass of the first learning object to further include a first descriptive asset regarding the first piece of information based on the first set of knowledge bullet-points and the illustrative asset; 
 create a second-pass of the second learning object to further include a second descriptive asset regarding the second piece of information based on the second set of knowledge bullet-points and the illustrative asset; and 
 link the second-passes of the first and second learning objects together to form at least a portion of a multi-disciplined learning tool. 
   
     
     
         9 . The computing device of  claim 8 , wherein the processing module functions to obtain the illustrative asset by one or more of:
 interpreting instructor input information to identify the illustrative asset;   identifying a first object of the first and second set of knowledge bullet-points as the illustrative asset; and   determining the illustrative asset based on the first object of the first and second set of knowledge bullet-points.   
     
     
         10 . The computing device of  claim 8 , wherein the processing module further functions to:
 generate a representation of the first descriptive asset; and   update the first learning object with the representation of the first descriptive asset to produce the second-pass of the first learning object.   
     
     
         11 . The computing device of  claim 8 , wherein the processing module functions to create the second-pass of the first learning object by:
 generating a representation of the illustrative asset based on a first knowledge bullet-point of the first set of knowledge bullet-points.   
     
     
         12 . The computing device of  claim 11 , wherein the processing module further functions to:
 generate the first descriptive asset utilizing the representation of the illustrative asset.   
     
     
         13 . The computing device of  claim 11 , wherein the processing module further functions to:
 output, via the interface, the representation of the illustrative asset as instructor output information;   receive, via the interface, instructor input information in response to the instructor output information; and   interpret the instructor input information to produce the first descriptive asset.   
     
     
         14 . A computer readable memory comprises:
 a first memory element that stores operational instructions that, when executed by a processing module, causes the processing module to:
 create a first-pass of a first learning object for a first piece of information regarding a topic to include a first set of knowledge bullet-points regarding the first piece of information; and 
 create a first-pass of a second learning object for a second piece of information regarding the topic to include a second set of knowledge bullet-points regarding the second piece of information; 
   a second memory element that stores operational instructions that, when executed by the processing module, causes the processing module to:
 obtain an illustrative asset based on the first and second set of knowledge bullet-points, wherein the illustrative asset depicts an aspect regarding the topic pertaining to the first and second pieces of information; 
   a third memory element that stores operational instructions that, when executed by the processing module, causes the processing module to:
 create a second-pass of the first learning object to further include a first descriptive asset regarding the first piece of information based on the first set of knowledge bullet-points and the illustrative asset; and 
 create a second-pass of the second learning object to further include a second descriptive asset regarding the second piece of information based on the second set of knowledge bullet-points and the illustrative asset; and 
   a fourth memory element that stores operational instructions that, when executed by the processing module, causes the processing module to:
 link the second-passes of the first and second learning objects together to form at least a portion of a multi-disciplined learning tool. 
   
     
     
         15 . The computer readable memory of  claim 14 , wherein the processing module functions to execute the operational instructions stored by the second memory element to cause the processing module to obtain the illustrative asset by one or more of:
 interpreting instructor input information to identify the illustrative asset;   identifying a first object of the first and second set of knowledge bullet-points as the illustrative asset; and   determining the illustrative asset based on the first object of the first and second set of knowledge bullet-points.   
     
     
         16 . The computer readable memory of  claim 14  further comprises:
 the third memory element stores further operational instructions that, when executed by the processing module, causes the processing module to:
 generate a representation of the first descriptive asset; and 
 update the first learning object with the representation of the first descriptive asset to produce the second-pass of the first learning object. 
 
 
     
     
         17 . The computer readable memory of  claim 14 , wherein the processing module functions to execute the operational instructions stored by the fourth memory element to cause the processing module to link the second-passes of first and second learning objects together to form the at least the portion of the multi-disciplined learning tool by:
 generating index information for the second-passes of first and second learning objects to indicate sharing of the illustrative asset; and   facilitating storage of the index information and the first and second learning objects in a learning assets database to enable subsequent utilization of the multi-disciplined learning tool.   
     
     
         18 . The computer readable memory of  claim 14 , wherein the processing module functions to execute the operational instructions stored by the third memory element to cause the processing module to create the second-pass of the first learning object by:
 generating a representation of the illustrative asset based on a first knowledge bullet-point of the first set of knowledge bullet-points.   
     
     
         19 . The computer readable memory of  claim 18  further comprises:
 the third memory element stores further operational instructions that, when executed by the processing module, causes the processing module to:
 generate the first descriptive asset utilizing the representation of the illustrative asset. 
 
 
     
     
         20 . The computer readable memory of  claim 18  further comprises:
 the third memory element stores further operational instructions that, when executed by the processing module, causes the processing module to:
 output the representation of the illustrative asset as instructor output information; 
 receive instructor input information in response to the instructor output information; and 
 interpret the instructor input information to produce the first descriptive asset.