Navigating e-learning course materials

• US 6,827,578 B2
• Filed: 04/30/2002
• Issued: 12/07/2004
• Est. Priority Date: 02/11/2002
• Status: Expired due to Term

• Current Assignee: SAP SE
• Original Assignee: SAP AG (SAP SE)
• Inventors: Altenhofen, Michael, Krebs, Andreas, Gerteis, Wolfgang
• Primary Examiner(s): Harris, Chanda L.
• Application Number:
  US10/134,681
• Publication Number:
  US 20030152906A1
• Time in Patent Office: 952 Days
• Field of Search: 434/118, 434/362, 434/350
• US Class Current: 434/118
• 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

A learning system, method, and software generate a navigation path through a course based on a learning strategy. The course may be navigated by receiving graphs corresponding to the course, applying the learning strategy to the graphs, and generating a navigation path through the course for the learner based on the applied strategy. The navigation path may be used to suggest content from the course for presentation to a learner.

Claims

1. A method, performed by one or more processing devices, for navigating through a course, the method comprising:

receiving, via a processing device, one or more graphs corresponding to the course, the one or more graphs comprising nodes, at least one of the nodes storing attribute relating to a learning strategy for navigating through the course;

applying, via a processing device, the learning strategy to the one or ore graphs, wherein applying the learning strategy comprises altering the attribute relating to the learning strategy; and

generating, via a processing device, a navigation tree for the course ed on the applied learning strategy.

2. The method of claim 1 further comprising generating, via a processing device, a navigation path to suggest content from the course for presentation to a learner.

3. The method of claim 1 wherein each nod corresponds to a course, a sub-course, a learning unit, or a knowledge item.

4. The method of claim 1 wherein the one or more nodes include an attribute corresponding to metadata.

5. The method of claim 4 wherein the metadata includes knowledge type.

6. The method of claim 1 wherein at least one graph includes at least two nodes and a relation between the at least two nodes.

7. The method of claim 1 wherein applying a learning strategy includes applying a set of Boolean predicates to the one or more graphs.

8. The method of claim 1 wherein applying the learning strategy includes applying one or more functions to the one or more nodes to generate one or more sets, and generating the navigation tree includes applying an ordering function to the one or more sets to generate an ordered list, where the navigation tree is based on the ordered list.

9. The method of claim 8 wherein applying one or more functions to generate one or more sets includes determining a set of navigation nodes that indicate nodes identified by the learning strategy that may be presented to a learner.

10. The method of claim 8 wherein applying one or more functions to generate the one or more sets includes determining a set of start nodes that indicate a first node within a graph that may be visited by a learner.

11. The method of claim 1 wherein applying the learning strategy includes determining that an event has been performed on a node.

12. The method of claim 1 wherein applying the learning strategy includes applying a macro-strategy.

13. The method of claim 12 wherein applying the macro strategy includes applying one of a goal-based, top-down strategy, a goal-based, bottom-up strategy or a table of contents strategy.

14. The method of claim 1 wherein applying the learning strategy includes applying a micro-strategy.

15. The method of claim 14 wherein applying the micro-strategy includes applying one of an orientation only strategy, an action oriented strategy, an explanation oriented strategy, an orientation oriented strategy, or a table of contents strategy.

16. A learning management system configured to provide navigation for a course comprising:

an input to receive one or more graphs corresponding to the course, the one or more graphs comprising nodes, at least one of the nodes storing an attribute relating to a learning strategy for navigating through the course;

an output to provide a navigation path through the course; and

a processor to apply the learning strategy to the one or more graphs to generate the navigation path, wherein applying the learning strategy comprises altering the attribute relating to the learning strategy.

17. The system of claim 16 wherein the navigation path suggests content from the course for presentation to a learner.

18. The system of claim 16 wherein each node corresponds to one of a course, a sub-course, a learning unit, and a knowledge item.

21. The system of claim 16 wherein at least one graph includes at least two nodes and a relation corresponding to the at least two nodes.

22. The system of claim 16 wherein the processor is configured to apply a set of Boolean predicates to the one or more graphs.

23. The system of claim 16 wherein the processor is configured to apply one or more functions to the one or more nodes to generate one or more sets, and to generate the navigation path by applying an ordering function to the one or more sets to generate an ordered list, where the navigation path is based on the ordered list.

24. The system of claim 23 wherein processor is configured to determine a set of navigation nodes identified by the learning strategy that may be presented to a learner.

25. The system of claim 23 wherein the processor is configured to determine a set of start nodes that indicate a first node within a graph that may be visited by a learner.

26. The system of claim 16 wherein applying the learning strategy includes determining that an event has been performed on a node.

27. The system of claim 16 wherein applying the learning strategy includes applying a macro-strategy.

28. The system of claim 27 wherein applying the macro-strategy includes applying one of a goal-based, top-down strategy, a goal-based, bottom-up strategy or a table of contents strategy.

29. The system of claim 16 wherein applying the learning strategy includes applying a micro-strategy.

30. The system of claim 29 wherein applying the micro-strategy includes applying one of an orientation only strategy, an action oriented strategy, an explanation oriented strategy, an orientation oriented strategy, or a table of contents strategy.

19. The system of claim 19 wherein the one or more nodes include attributes corresponding to metadata.

20. The system of claim 19 wherein the metadata includes knowledge type data.

31. A machine-readable medium including instructions to cause a processor to:

receive one or more graphs corresponding to the course, the one or more graphs comprising nodes, at least one of the nodes storing an attribute relating to a learning strategy for navigating through the course;

apply the learning strategy to the one or more graphs, wherein applying the learning strategy comprises altering the attribute relating to the learning strategy; and

generate a navigation path through the course for a learner based on the applied learning strategy.

32. The machine-readable medium of claim 31 wherein instructions to cause a processor to generate the navigation path cause a processor to suggest content from the course for presentation to a learner.

33. The machine-readable medium of claim 31 wherein the instructions to cause a processor to apply one or more graphs cause a processor to apply the learning strategy to one or more nodes.

34. The machine-readable medium of claim 33 wherein the instructions to cause a processor to apply the learning strategy to one or more nodes cause a processor to apply the learning strategy to one or more node corresponding to one of a course, a sub-course, a learning unit, and a knowledge item.

35. The machine-readable medium of claim 33 wherein the instructions to cause a processor to apply the learning strategy to the one or more nodes cause a processor to use an attribute corresponding to metadata of the one or more nodes.

36. The machine-readable medium of claim 35 wherein the instructions to cause a processor to use the attribute cause a processor to use a knowledge type.

37. The machine-readable medium of claim 31 wherein the instructions to cause a processor to apply a learning strategy cause the processor to apply a set of Boolean predicates to the one or more graphs.

38. The machine-readable medium of claim 33 wherein the instructions to cause a processor to apply the learning strategy cause the processor to apply one or more functions to the one or more nodes to generate one or mores sets and to generate the navigation path, cause the processor to apply an ordering function to the one or more sets to generate an ordered list, where the navigation path is based on the ordered list.

39. The machine-readable medium of claim 38 wherein the instructions to cause a processor to apply one or more functions to generate one or more sets cause the processor to determine a set of navigation nodes that indicate nodes identified by the learning strategy that may be presented to the learner.

40. The machine-readable medium of claim 38 wherein the instructions to cause a processor to apply one or more functions to generate the one or more sets cause the processor to determine a set of start nodes that indicate a first node within a graph that may be visited by the learner.

41. The machine-readable medium of claim 33 wherein the instructions to cause a processor to apply the learning strategy cause the processor to determine that an event has been performed on a node.

42. The machine-readable medium of claim 31 wherein the instructions to cause a processor to apply the learning strategy cause the processor to apply a macro-strategy.

43. The machine-readable medium of claim 42 wherein the instructions to cause a processor to apply the macro-strategy cause the processor to apply one of a goal-based, top-down strategy, a goal-based, bottom-up strategy, or a table of contents strategy.

44. The machine-readable medium of claim 31 wherein the instructions to cause a processor to apply the learning strategy cause the processor to apply a micro-strategy.

45. The machine-readable medium of claim 31 wherein the instructions to cause a processor to apply the micro-strategy cause the processor to apply one of an orientation only strategy, an action oriented strategy, an explanation oriented strategy, an orientation oriented strategy, or a table of contents strategy.