Learning management system

• US 20080254434A1
• Filed: 04/12/2008
• Published: 10/16/2008
• Est. Priority Date: 04/13/2007
• Status: Abandoned Application

• Current Assignee: Nathan Calvert
• Original Assignee: Nathan Calvert
• Inventors: Calvert, Nathan
• Application Number:
  US12/101,984
• Publication Number:
  US 20080254434A1
• Time in Patent Office: Days
• US Class Current: 434/350
• CPC Class Codes: G09B 5/00 Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F
• CPC Class Codes: G09B 7/00 Electrically-operated teaching apparatus or devices working with questions and answers mechanically operated G09B3/00; computing arrangements G06F

Abstract

Learning management systems and methods are provided with improvements allowing meta-tagging of learning objects with specific characteristics. An intelligent tutor application may employ the tags in search and tutorial scenarios. In some embodiments, an intelligent tutor application is programmed for selecting and providing learning objects for presentation to a participant through the participant client application, the intelligent tutor application including a software interface adapter for sending software interface function commands associated with the conformant learning object on behalf of the participant, the intelligent tutor application further including a search and selection software module, a learning style analysis software module, and a tutoring engine software module. In some embodiments, an intelligent tutor interacts with a SCORM-compliant LMS through a modified API adapater.

Claims

1. A learning management system comprising:

a learning management system server hosting a software interface exposing functions to process learning activities associated with conformant learning objects presented at a participant client application having a first software interface adapter;

an intelligent tutor application for selecting and providing learning objects for presentation to a participant through the participant client application, the intelligent tutor application comprising a second software interface adapter for sending software interface function commands associated with the conformant learning object on behalf of the participant, the intelligent tutor application further comprising a search and selection software module, a learning style analysis software module, and a tutoring engine software module.

2. The system of claim 1 wherein the learning management system server further comprises an interface to local databases holding a first set of learning objects.

3. The system of claim 2 wherein the learning management system server further comprises an interface to at least one remote database holding a second set of learning objects.

4. The system of claim 1 wherein the learning management system server further comprises a learner profile service software module for tracking a learners preferred and non-preferred learning styles.

5. The system of claim 1 wherein the software interface on the learning management system server is an API capable of interfacing with the first software interface adapter and second software interface adapters, which are both API adapters.

6. The system of claim 5 in which the API is a SCORM API.

7. The system of claim 6 in which the first software interface adapter is a SCORM API adapter, and the second software interface adapter is an augmented SCORM API adapter.

8. A method of presenting a computer-assisted tutoring session, the method comprising:

searching, by a tutor application, for a first learning object having a first subject characteristic and a first preferred learning style characteristic;

presenting the first learning object to a student having a profile indicating the first preferred learning style characteristic.

9. The method of claim 8 further comprising assessing the student'"'"'s facility for working with a second learning style with material taught from the first learning object.

10. The method of claim 9 wherein the second learning style is a non-preferred learning style indicated in the student'"'"'s profile.

11. The method of claim 10 further comprising searching, by the tutor application, for a second learning object having a third blended learning style of the second learning style and the first learning style.

12. The method of claim 11 further comprising presenting the second learning object to the student, the second learning object including a material in the first preferred learning style and the second non-preferred learning style.

13. The method of claim 11 wherein the second learning object has associated meta tags indicating a mixed learning style of the first preferred learning style and the second non-preferred learning style.

14. The method of claim 8 wherein the first learning object has an associated meta-tag indicating a primary learning style, and the tutor applications searching process includes searching for a matching meta-tag.

15. A learning management system comprising:

a learning management system server hosting a software interface exposing functions to process learning activities associated with conformant learning objects presented at a participant client application having a first software interface adapter;

an intelligent tutor application, running on the learning management system server, for selecting and providing learning objects for presentation to a participant through the participant client application, the intelligent tutor application further comprising a search and selection software module operable to search a first local learning object repository and at least a second remote learning object repository.

16. The system of claim 15 wherein the learning management system server further comprises an identifier key for a subscription to the second remote learning object repository.

17. The system of claim 16 wherein the intelligent tutor application is programmed to minimize cost of providing a suitable learning object needed for provision to a participant by first selecting local repository learning objects, and lacking those selecting flat rate subscription learning objects, and lacking those selecting pay-per-use learning objects.

18. The system of claim 15 wherein the search and selection software module is operable to search meta-tags associated with learning objects.

19. The system of claim 18 wherein the meta-tags provide at least one indication of learning style characteristics of their associated learning objects.

20. The system of claim 19 wherein the meta-tags provide an indication of a primary learning style and a secondary learning style associated with a single learning object.