Utilization of competencies as drivers in a learning network

• US 20020087346A1
• Filed: 11/28/2001
• Published: 07/04/2002
• Est. Priority Date: 11/28/2000
• Status: Abandoned Application

• Current Assignee: Scott T. Harkey
• Original Assignee: Scott T. Harkey
• Inventors: Harkey, Scott T.
• Application Number:
  US10/000,264
• Publication Number:
  US 20020087346A1
• Time in Patent Office: Days
• US Class Current: 705/1
• CPC Class Codes: G06N 20/00 Machine learning

Abstract

A learning network is formed that includes “competencies” as content objects in the network, in addition to learning objects and knowledge objects. The nodes forming the network for linked in an individual pattern for each user accessing the network, thus allowing the learning network to be used by both novices and experts. The network includes data retrieval utilities that are configured to continuously access external sources of information to update the content stored in the network. Each network access by a user creates an updated relational table between the nodes, forming a dynamic interconnection of nodes so that the learning network provides improved response to each user during each subsequent access.

Claims

1. A learning network arrangement comprising

a plurality of interconnected nodes representing subject matter elements for said learning network, the plurality of interconnected nodes including a first set of nodes associated with knowledge objects, a second set of nodes associated with learning objects, and a third set of nodes associated with competencies, wherein the first, second and third sets of nodes are linked in a pattern unique for each user of said learning network, where a plurality of nodes are linked to form a chunk, a plurality of chunks are linked to form a schema, and a plurality of schemas are linked to form the learning network;

and

at least one query agent for accessing a competency node associated with a query submitted by a user, the competency node being linked to associated competency, knowledge and learning nodes.

2. A learning network as defined in claim 1 wherein the network is dynamic such that new links are created each time a user submits a query to said at least one query agent.

3. A learning network as defined in claim 1 wherein the network further comprises subject matter filters to minimize spurious return of information on a query.

4. A learning network as defined in claim 1 wherein the network comprises

a concept engine including a database for storing concept information and the linkage between the plurality of nodes in the network;

and

a plurality of data retrieval utilities, associated with the concept engine, for accessing external information sources and creating knowledge and learning nodes in the learning network.

5. A learning network as defined in claim 4 wherein the plurality of data retrieval utilities are configured to continuously access the external information sources and create new knowledge and learning nodes.

6. A learning network as defined in claim 4 wherein the external sources comprise both controlled and uncontrolled sources of information.

7. A learning network as defined in claim 6 wherein the external sources further comprise learning solutions and a competency roadmap.