Computer-aided learning methods and apparatus for a job

• US 6,126,448 A
• Filed: 07/06/1998
• Issued: 10/03/2000
• Est. Priority Date: 07/06/1998
• Status: Expired due to Term

• Current Assignee: IpLearn LLC
• Original Assignee: Ho Chi Fai, Peter P. Tong
• Inventors: Tong, Peter P., Ho, Chi Fai
• Primary Examiner(s): Ackun, Jacob K.
• Assistant Examiner(s): Rovnak, John Edmund
• Application Number:
  US09/110,569
• Time in Patent Office: 820 Days
• Field of Search: 434/219, 434/220, 434/221, 434/222, 434/223, 434/224, 434/225, 434/226, 434/227, 434/228, 434/229, 434/230, 434/231, 434/232, 434/233, 434/234, 434/118
• US Class Current: 434/219
• CPC Class Codes: G09B 7/04 characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question, supplying a further explanation
• CPC Class Codes: Y10S 706/927 Education or instruction
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing
• CPC Class Codes: Y10S 707/99948 Application of database or data structure, e.g. distributed, multimedia, or image

Abstract

Computer-aided learning methods and apparatus that can automatically provide learning materials for a user based on a job position related to the user, who is associated with a company. In one embodiment, a retriever retrieves the job position. Then, a learning determinator identifies the one or more jobs needed to be done for the job position, and determines whether the learning materials needed for the one or more jobs should be presented to the user. The job position can be the position the user occupies, or can be the position the user is interested in.

Claims

1. A computer-aided learning method for helping a user regarding a job in a company, the method comprising the steps of:

retrieving, by a computer, a job position, which identifies the one or more jobs needed to be done for the job position; and

determining, by the computer, whether learning materials should be presented to the user, with the materials helping the user learn about the one or more jobs;

wherein;

the company has a number of documents;

at least some of the learning materials are from the company documents;

at least some of the documents are categorized;

the method further comprises the steps of;

searching at least some of the documents to extract more than one documents to be the learning materials; and

organizing at least some of the extracted documents based on one or more rules to prioritize them.

2. A computer-aided learning method as recited in claim 1 wherein:

the user is the company'"'"'s employee;

the job position is related to the user; and

the materials help the user do the one or more jobs.

3. A computer-aided learning method as recited in claim 1 wherein the user occupies the job position.

4. A computer-aided learning method as recited in claim 1 wherein:

the company has an organization chart showing a plurality of job positions; and

the job position is a position in the organization chart.

5. A computer-aided learning method as recited in claim 1 wherein the job position retrieved is the job position the user is interested in.

6. A computer-aided learning method as recited in claim 1 wherein the job position retrieved is different from the job position occupied by the user.

7. A computer-aided learning method as recited in claim 6 wherein the job position retrieved is the position occupied by the user'"'"'s superior in the company.

8. A computer-aided learning method as recited in claim 1 wherein the job position is the position of a business owner.

9. A computer-aided learning method as recited in claim 8 wherein at least one job identified depends on the type of business.

10. A computer-aided learning method as recited in claim 1 wherein, if materials should be presented, the method further comprises the step of presenting, by the computer, the learning materials to the user.

11. A computer-aided learning method as recited in claim 10 wherein the time to present depends on information about the user'"'"'s availability.

12. A computer-aided learning method as recited in claim 1 wherein, if materials should be presented, the method further comprises the step of identifying, by the computer, the place where and the time when the learning materials are available for the user.

13. A computer-aided learning method as recited in claim 12 wherein the step of identifying further depends on information about the user'"'"'s availability.

14. A computer-aided learning method as recited in claim 1 wherein the step of determining depends on at least a need of the company.

15. A computer-aided learning method as recited in claim 14 wherein the user is selected by the company based on at least one characteristic in the user profile.

16. A computer-aided learning method as recited in claim 14 wherein the step of determining depends on at least one characteristic in the profile of the user.

17. A computer-aided learning method as recited in claim 1 wherein the step of determining depends on at least one characteristic, other than the job position, in the profile of the user.

18. A computer-aided learning method as recited in claim 6 further comprising the step of presenting, by the computer, the materials to the user if, as determined by the computer, the user is interested in the different position.

19. A computer-aided learning method as recited in claim 1 further comprising the step of ascertaining by the computer the learning materials.

20. A computer-aided learning method as recited in claim 19 wherein the materials ascertained depends on at least one characteristic in the profile of the user.

21. A computer-aided learning method as recited in claim 19 further comprising the step of presenting, by the computer, the materials to the user if, as determined by the computer, the user is interested in the learning materials.

22. A computer-aided learning method as recited in claim 1 wherein:

the one or more jobs are performed by the user, who generates one or more documents in performing the one or more jobs; and

the documents generated become the company documents.

23. A computer-aided learning method as recited in claim 1 wherein the step of searching depends on the one or more jobs.

24. A computer-aided learning method as recited in claim 1 wherein the information in the one or more extracted documents has at least one common structure.

25. A computer-aided learning method as recited in claim 1 wherein the step of searching depends on the one or more jobs, and job that is related to the one or more jobs.

26. A computer-aided learning method as recited in claim 1 wherein at least one rule depends on information regarding the company.

27. A computer-aided learning method as recited in claim 1 wherein at least one rule depends on the chronology of two of the extracted documents.

28. A computer-aided learning method as recited in claim 1 wherein at least one rule depends on the versions of two of the extracted documents.

29. A computer-aided learning method as recited in claim 1 wherein at least one rule depends on the identity of the one or more persons generating the documents.

30. A computer-aided learning method as recited in claim 1 wherein the documents are categorized depending on at least one characteristic of the profile of the user.

31. A computer-aided learning method as recited in claim 1 wherein:

the one or more jobs are performed by the user, who generates one or more documents in performing the one or more jobs;

the documents generated become the company documents; and

the method further comprises the step of categorizing, by the computer, at least one of the generated documents.

32. A computer-aided learning method as recited in claim 1 wherein:

at least one document including at least one attribute, which describes that document; and

the method further comprises the steps of;

retrieving, by a computer, the at least one attribute of the at least one document; and

categorizing, by the computer, the document based on the retrieved attribute.

33. A computer-aided learning methods as recited in claim 1 wherein:

the company includes an organization chart; and

at least some of the documents are categorized depending on the organization chart.

34. A computer-aided learning method as recited in claim 1 further comprising the steps of:

searching, by a computer, the documents categorized to extract one or more of them to be the learning materials; and

wherein the step of searching depends on the one or more jobs needed to be done for the job position, and a job that is related to the one or more jobs.

35. A computer-aided apparatus for helping a user, who is associated with a company, regarding a job in the company, based on a job position related to the user, the apparatus comprising:

a retriever configured to retrieve the job position, which identifies the one or more jobs needed to be done for the job position; and

a determinator configured to determine whether learning materials should be presented to the user, with the materials helping the user learn about the one or more jobs;

wherein;

the company has a number of documents;

at least some of the learning materials are from the company documents;

at least some of the documents are categorized;

at least some of the documents are searched to extract more than one documents to be the learning materials; and

at least some of the extracted documents are organized based on one or more rules to prioritize them.

36. A computer-aided learning apparatus as recited in claim 35 wherein:

the user is the company'"'"'s employee;

the job position is related to the user; and

the materials help the user do the one or more jobs.

37. A computer-aided learning apparatus as recited in claim 35 wherein the user occupies the job position.

38. A computer-aided learning apparatus as recited in claim 35 wherein:

the job position is a position in an organization chart of the company.

39. A computer-aided learning apparatus as recited in claim 35 wherein the job position retrieved is the job position the user is interested in.

40. A computer-aided learning apparatus as recited in claim 35 wherein the job position retrieved is the position of a business owner.

41. A computer-aided learning apparatus as recited in claim 35 further comprising a presenter configured to present learning materials to the user.

42. A computer-aided learning apparatus as recited in claim 35 wherein the determinator is configured to determine depending on at least a need of the company.

43. A computer-aided learning apparatus as recited in claim 35 wherein:

one or more documents are generated when the one or more jobs are performed by the user; and

wherein the documents generated become the company documents.

44. A computer-aided learning apparatus as recited in claim 35 wherein:

at least one rule depends on information regarding the company.

45. A computer-aided learning apparatus as recited in claim 35 wherein:

the documents categorized are searched to extract one or more of them to be the learning materials; and

the searching depends on the one or more jobs needed to be done for the job position, and a job that is related to the one or more jobs.

46. A computer-aided learning apparatus as recited in claim 35 wherein the documents are categorized depending on at least one characteristic of the profile of the user.

47. A computer-aided learning apparatus as recited in claim 35 wherein:

one or more documents are generated when the one or more jobs are performed by the user; and

wherein;

the documents generated become the company documents; and

the documents are categorized.