Dynamic learning courses

• US 20070099161A1
• Filed: 12/13/2005
• Published: 05/03/2007
• Est. Priority Date: 10/31/2005
• Status: Abandoned Application

• Current Assignee: SAP AG (SAP SE)
• Original Assignee: SAP AG (SAP SE)
• Inventors: Hochwarth, Christian, Erhard, Martin, Krebs, Andreas
• Application Number:
  US11/301,595
• Publication Number:
  US 20070099161A1
• Time in Patent Office: Days
• US Class Current: 434/322
• CPC Class Codes: G06Q 10/105 Human resources
• CPC Class Codes: G06Q 50/20 Education
• 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

An example method for dynamic learning courses comprises searching a plurality of learning objects to retrieve a subset of the plurality based on at least one search variable. A first learning object from the subset and a second learning object from the subset are identified. The method then includes dynamically creating a learning course using at least the first and second learning objects.

Claims

1. Method for dynamic learning courses comprising:

searching a plurality of learning objects to retrieve a subset of the plurality based on at least one search variable;

identifying a first learning object from the subset;

identifying a second learning object from the subset; and

dynamically creating a learning course using at least the first and second learning objects.

2. The method of claim 1, the first learning object referenced in a first static learning course.

3. The method of claim 2, the first learning object referenced in a second static learning course.

4. The method of claim 2, the second learning object referenced in a second static learning course.

5. The method of claim 1, wherein the learning objects are remotely stored and the dynamic learning course is created at a client.

6. The method of claim 1, the one or more search variables received from a learner via browser.

7. The method of claim 6, further comprising:

identifying a billing entity associated with the learner; and

updating at least one billing record of the billing entity based on the dynamic learning course.

8. The method of claim 6, further comprising:

identifying a role of the learner; and

defaulting one of the search criteria in the browser based on the identified role.

9. The method of claim 6, further comprising:

identifying a role of the learner; and

limiting the search of the plurality of learning objects based on security policies associated with the role.

10. The method of claim 1, wherein searching the plurality of learning objects to retrieve a subset comprises comparing each search variable to metadata of the particular learning object.

11. The method of claim 10, the metadata comprising a description, a title, a creation date, an estimated completion time, and one or more key words.

12. The method of claim 10, further comprising:

automatically retrieving a new subset of the plurality of learning objects based on at least one component of the metadata, the new subset comprising at least the first learning object; and

automatically recreating the learning course based on the new subset of learning objects.

13. The method of claim 12, the metadata comprising a time range and wherein automatically retrieving a new subset comprises retrieving a third learning object as part of the subset based on the metadata and filtering the second learning object based on the metadata.

14. The method of claim 1, further comprising:

identifying a new version of the first learning object after the dynamic learning course is created; and

automatically updating the dynamic learning course using the new version.

15. The method of claim 1, further comprising limiting the retrieval of the subset of learning objects to those objects not previously completed by a learner.

16. A system comprising:

means for searching a plurality of learning objects to retrieve a subset of the plurality based on at least one search variable;

means for identifying a first learning object from the subset;

means for identifying a second learning object from the subset; and

means for dynamically creating a learning course using at least the first and second learning objects.

17. Software for dynamic learning courses operable to:

search a plurality of learning objects to retrieve a subset of the plurality based on at least one search variable;

identify a first learning object from the subset;

identify a second learning object from the subset; and

dynamically create a learning course using at least the first and second learning objects.

18. The software of claim 17, the first learning object referenced in a first static learning course.

19. The software of claim 18, the first learning object referenced in a second static learning course.

20. The software of claim 18, the second learning object referenced in a second static learning course.

21. The software of claim 17, wherein the learning objects are remotely stored and the dynamic learning course is created at a client.

22. The software of claim 17, the one or more search variables received from a learner via browser.

23. The software of claim 22, further operable to:

identify a billing entity associated with the learner; and

update at least one billing record of the billing entity based on the dynamic learning course.

24. The software of claim 22, further operable to:

identify a role of the learner; and

default one of the search criteria in the browser based on the identified role.

25. The software of claim 22, further operable to:

identify a role of the learner; and

limit the search of the plurality of learning objects based on security policies associated with the role.

26. The software of claim 17, wherein the software operable to search the plurality of learning objects to retrieve a subset comprises software operable to compare each search variable to metadata of the particular learning object.

27. The software of claim 26, the metadata comprising a description, a title, a creation date, an estimated completion time, and one or more key words.

28. The software of claim 26, further operable to:

automatically retrieve a new subset of the plurality of learning objects based on at least one component of the metadata, the new subset comprising at least the first learning object; and

automatically recreate the learning course based on the new subset of learning objects.

29. The software of claim 28, the metadata comprising a time range and wherein automatically retrieving a new subset comprises retrieving a third learning object as part of the subset based on the metadata and filtering the second learning object based on the metadata.

30. The software of claim 17, further operable to:

identify a new version of the first learning object after the dynamic learning course is created; and

automatically update the dynamic learning course using the new version.

31. The software of claim 17, further operable to limit the retrieval of the subset of learning objects to those objects not previously completed by a learner.

32. A system for dynamic learning courses, comprising:

memory storing a plurality of learning objects; and

one or more processors operable to;

search the plurality of learning objects to retrieve a subset of the plurality based on at least one search variable;

identify a first learning object from the subset;

identify a second learning object from the subset; and

dynamically create a learning course using at least the first and second learning objects.

33. The system of claim 32, the first learning object referenced in a first static learning course.

34. The system of claim 33, the first learning object referenced in a second static learning course.

35. The system of claim 33, the second learning object referenced in a second static learning course.

36. The system of claim 32, wherein the learning objects are remotely stored and the dynamic learning course is created at a client.

37. The system of claim 32, the one or more search variables received from a learner via browser.

38. The system of claim 37, wherein the one or more processors further operable to:

identify a billing entity associated with the learner; and

update at least one billing record of the billing entity based on the dynamic learning course.

39. The system of claim 37, wherein the one or more processors further operable to:

identify a role of the learner; and

default one of the search criteria in the browser based on the identified role.

40. The system of claim 37, the one or more processors further operable to:

identify a role of the learner; and

limit the search of the plurality of learning objects based on security policies associated with the role.

41. The system of claim 32, wherein the one or more processors operable to search the plurality of learning objects to retrieve a subset comprises the one or more processors operable to compare each search variable to metadata of the particular learning object.

42. The system of claim 41, the metadata comprising a description, a title, a creation date, an estimated completion time, and one or more key words.

43. The system of claim 41, the one or more processors further operable to:

automatically retrieve a new subset of the plurality of learning objects based on at least one component of the metadata, the new subset comprising at least the first learning object; and

automatically recreate the learning course based on the new subset of learning objects.

44. The system of claim 43, the metadata comprising a time range and wherein automatically retrieving a new subset comprises retrieving a third learning object as part of the subset based on the metadata and filtering the second learning object based on the metadata.

45. The system of claim 32, the one or more processors further operable to:

identify a new version of the first learning object after the dynamic learning course is created; and

automatically update the dynamic learning course using the new version.

46. The system of claim 32, the one or more processors further operable to limit the retrieval of the subset of learning objects to those objects not previously completed by a learner.