Computer-aided learning and counseling methods and apparatus for a job

• US 6,213,780 B1
• Filed: 03/22/1999
• Issued: 04/10/2001
• 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): Cheng, Joe H.
• Application Number:
  US09/273,392
• Time in Patent Office: 750 Days
• Field of Search: 434/118, 434/219, 434/323, 434/335, 434/350, 434/362, 434/365, 707/1, 707/3, 707/10, 707/100, 707/104, 707/512, 705/1, 705/8, 706/927, 708/131, 708/160, 345/967, 382/116, 382/309, 340/825.34
• 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 identify learning objectives and provide learning materials for a user based on a job position identified for the user. The identification process depends on at least one attribute of the user'"'"'s profile. After the job position is identified, the apparatus ascertains at least one learning objective for selecting learning materials to prepare the user for the job position. The user may be in the process of leaving a company, or may be graduating from a school.

Claims

1. A computer-aided learning method comprising the steps of:

identifying, by a first computer, a job position for a user, based on at least one retrieved attribute of the user'"'"'s profile;

ascertaining, by the first computer, at least one learning objective for an identified job position to select learning materials to prepare the user for the job position;

updating, by the first computer, information on the user due to changes in information on the user from an input; and

repeating, by the first computer, the step of identifying in view of the update;

wherein the first computer can also identify the one or more jobs needed to be done for the job position.

2. A computer-aided learning method as recited in claim 1 wherein the at least one attribute of the user'"'"'s profile is the user'"'"'s work experience.

3. A computer-aided learning method as recited in claim 1 wherein the at least one attribute of the user'"'"'s profile is the user'"'"'s learning history.

4. A computer-aided learning method as recited in claim 1 wherein the at least one attribute of the user'"'"'s profile is the user'"'"'s job interview.

5. A computer-aided learning method as recited in claim 1 wherein the step of identifying depends on the availability of job positions.

6. A computer-aided learning method as recited in claim 1 wherein the step of identifying depends on at least one characteristic of the user'"'"'s preference.

7. A computer-aided learning method as recited in claim 1 wherein the step of identifying depends on the availability of the learning materials.

8. A computer-aided learning method as recited in claim 1 wherein the step of identifying further comprises the step of optimizing a number of factors, including at least one attribute of the user'"'"'s profile, the job positions available, at least one characteristic of the user'"'"'s preference, and the availability of learning materials.

9. A computer-aided learning method as recited in claim 1 wherein the step of ascertaining the at least one learning objective depends on the job position identified and at least one attribute of the user'"'"'s profile.

10. A computer-aided learning method as recited in claim 9 wherein the step of ascertaining the at least one learning objective depends on at least one characteristic of the user'"'"'s learning history and at least one characteristic of the user'"'"'s work experience.

11. A computer-aided learning method as recited in claim 1 further comprising the step of selecting for the user learning materials based on the at least one learning objective.

12. A computer-aided learning method as recited in claim 1 wherein the changes are from the response of an inquiry sent to the user.

13. A computer-aided learning method as recited in claim 12 wherein the inquiry is sent to the user periodically so as to keep information on the user current.

14. A computer-aided learning method as recited in claim 1 wherein the changes are provided by the user at the user'"'"'s initiative.

15. A computer-aided learning method as recited in claim 1 wherein the learning materials are presented to the user through a second computer, which is connected to the first computer by a network.

16. A computer-aided learning method as recited in claim 15 wherein the network includes a private network.

17. A computer-aided leaning method as recited in claim 15 wherein the network includes a public network.

18. A computer-aided learning method as recited in claim 17 wherein the network includes a private network.

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

identifying, by the first computer, a candidate for a company'"'"'s job position, based on at least one retrieved attribute of the candidate'"'"'s profile;

ascertaining, by the first computer, at least one learning objective for an identified candidate to select learning materials to prepare the candidate for the job position;

wherein the at least one learning objective for the candidate provides an indication to the company the amount of training required to prepare the candidate for the job position.

20. A computer-aided learning method comprising the steps of:

identifying, by a first computer, a job position for a user, based on at least one retrieved attribute of the user'"'"'s profile;

updating, by the first computer, information on the user due to changes in information on the user; and

repeating, by the first computer, the step of identifying in view of the update;

wherein the changes are from the response of an inquiry sent to the user; and

the inquiry is sent to the user periodically so as to keep information on the user current and to help the user learn at least one learning objective for an identified job position.

21. A computer-aided learning method comprising the steps of:

identifying, by a first computer, a job position for a user, and the one or more jobs needed to be done for the job position, with the step of identifying including the step of optimizing a number of factors, including at least one retrieved attribute of the user'"'"'s profile, the job positions available, and at least one characteristic of the user'"'"'s preference; and

ascertaining, by the first computer, at least one learning objective for an identified job position to select learning materials to prepare the user for the job position;

wherein the optimizing factors also include the availability of the learning materials; and

the learning materials are presented to the user through a second computer, which is connected to the first computer by a network.

22. A computer-aided learning method comprising the steps of:

identifying, by a first computer, a candidate for a company'"'"'s job position, based on at least one retrieved attribute of the candidate'"'"'s profile;

ascertaining, by the first computer, at least one learning objective for an identified candidate to select learning materials to prepare the candidate for the job position;

updating, by the first computer, information on the job position due to changes in information on the job position from an input; and

repeating, by the first computer, the step of identifying in view of the update;

wherein the at least one learning objective for the candidate provides an indication to the company the amount of training required to prepare the candidate for the job position.

23. A computer-aided learning method comprising the steps of:

identifying, by a first computer, at least one candidate for a company'"'"'s job position, based on at least one retrieved attribute of each candidate'"'"'s profile;

ascertaining, by the first computer, an indication as to the amount of training required to prepare the at least one candidate for the job position;

accessing the company'"'"'s database by the first company to obtain information of the job position;

providing information on the identified candidates to the company, including the indication on the amount of training required for each candidate; and

providing information on the job position to a candidate if the company is interested in the candidate;

wherein the information of the job position is from the company'"'"'s database on job positions and to help the user learning at least one learning objective for the identified job position.

24. A computer-aided learning apparatus comprising:

an identifier in a computer, configured to

identify a job position for a user, based on at least one retrieved attribute of the user'"'"'s profile; and

update information on the user due to changes in information on the user so as to identify a job position for the user; and

an ascertainer in the computer, configured to ascertain at least one learning objective for an identified job position to select learning materials to prepare the user for the job position;

wherein the identifier can also identify the one or more jobs needed to be done for the job position.

25. A computer-aided learning apparatus as recited in claim 24 wherein one attribute of the user'"'"'s profile is the user'"'"'s work experience.

26. A computer-aided learning apparatus as recited in claim 25 wherein the user'"'"'s work experience includes the subject area of, and the duration the user being involved in, the most recent project the user worked on.

27. A computer-aided learning apparatus as recited in claim 24 wherein one attribute of the user'"'"'s profile is the user'"'"'s learning history.

28. A computer-aided learning apparatus as recited in claim 24 wherein one attribute of the user'"'"'s profile is the results of one of the user'"'"'s job interviews.

29. A computer-aided learning apparatus as recited in claim 24 wherein the identifier identifies based on the availability of job positions.

30. A computer-aided learning apparatus as recited in claim 24 wherein the identifier identifies based on at least one characteristic of the user'"'"'s preference.

31. A computer-aided learning apparatus as recited in claim 24 wherein the identifier identifies based on the availability of the learning materials.

32. A computer-aided learning apparatus as recited in claim 24 wherein the identifier identifies through optimizing a number of factors, including least one attribute of the user'"'"'s profile, the job positions available, at least one characteristic of the user'"'"'s preference, and the availability of learning materials.

33. A computer-aided learning apparatus as recited in claim 24 wherein the ascertainer ascertains the at least one learning objective based on the job position identified and at least one attribute of the user'"'"'s profile.

34. A computer-aided learning apparatus as recited in claim 33 wherein the ascertainer ascertains the at least one learning objective based on at least one characteristic of the user'"'"'s learning history and at least one characteristic of the user'"'"'s work experience.

35. A computer-aided learning apparatus as recited in claim 24 wherein the ascertainer is further configured to select for the user learning materials based on the at least one learning objective.

36. A computer-aided learning apparatus as recited in claim 24 wherein the changes are from the response of an inquiry sent to the user.

37. A computer-aided learning apparatus as recited in claim 36 wherein the inquiry is sent to the user periodically so as to keep information on the user current.

38. A computer-aided learning apparatus as recited in claim 24 wherein the changes are provided by the user at the user'"'"'s initiative.

39. A computer-aided learning apparatus as recited in claim 24 wherein:

the identifier is in a first computer; and

the learning materials are presented to the user through a second computer, which is connected to the first computer by a network.

40. A computer-aided learning apparatus as recited in claim 39 wherein the network includes a private network.

41. A computer-aided learning apparatus as recited in claim 39 wherein the network includes a public network.

42. A computer-aided learning apparatus as recited in claim 41 wherein the network includes a private network.

43. A computer-aided learning apparatus as recited in claim 24 wherein:

the identifier is further configured to identify a candidate for a company'"'"'s job position, based on at least one attribute of the candidate'"'"'s profile, and

the ascertainer is further configured to ascertain at least one learning objective to select learning materials to prepare the candidate for the job position;

wherein the at least one learning objective for the candidate provides an indication to the company the amount of training required to prepare the candidate for the job position.

44. A computer-aided learning apparatus comprising:

an identifier in a computer, configured to

identify a job position for a user, based on at least one retrieved attribute of the user'"'"'s profile; and

update information on the user due to changes in information on the user for the identifier to identify a job position for the user again;

wherein the changes are from the response of an inquiry sent to the user; and

the inquiry is sent to the user periodically so as to keep information on the user current and to help the user learn at least one learning objective for an identified job position.

45. A computer-aided learning method comprising:

an identifier in a first computer, the identifier configured to identify a job position for a user, and the one or more jobs needed to be done for the job position, with the process of identifying including the process of optimizing a number of factors including at least one retrieved attribute of the user'"'"'s profile, the job positions available, and at least one characteristic of the user'"'"'s preference; and

an ascertainer in the first computer, configured to ascertain at least one learning objective for an identified job position to select learning materials to prepare the user for the job position;

wherein the optimizing factors also include the availability of the learning materials; and

the learning materials are presented to the user through a second computer, which is connected to the first computer by a network.

46. A computer-aided learning method comprising:

an identifier in a first computer, configured to

identify a candidate for a company'"'"'s job position, based on at least one retrieved attribute of the candidate'"'"'s profile; and

update information on the job position due to changes in information on the job position to identify a candidate for the job position; and

an ascertainer in the first computer, configured to ascertain at least one learning objective for an identified candidate to select learning materials to prepare the candidate for the job position;

wherein the at least one learning objective for the candidate provides an indication to the company the amount of training required to prepare the candidate for the job position.

47. A computer-aided learning method comprising:

an identifier in a first computer, configured to identify at least one candidate for a company'"'"'s job position, based on at least one retrieved attribute of each candidate'"'"'s profile; and

an ascertainer in the first computer, configured to ascertain an indication as to the amount of training required to prepare the at least one candidate for the job position;

wherein the information of the job position is from the company'"'"'s database on job positions, and to help the user learn at least one learning objective for an identified job position;

the company database is accessed to obtain information of the job position;

information on the identified candidates is provided to the company, including the indication on the amount of training required for each candidate; and

information on the job position is provided to a candidate if the company is interested in the candidate.