Self-service system for education

• US 9,076,343 B2
• Filed: 04/06/2004
• Issued: 07/07/2015
• Est. Priority Date: 04/06/2004
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Kanevsky, Dimitri, Lee, Juhnyoung, Pickover, Clifford A, Zlatsin, Alexander, Chaar, Jarir K, Cina, Vincent J Jr., Keller, Neal M, Stern, Edith H
• Primary Examiner(s): Frisby, Kesha
• Application Number:
  US10/818,656
• Publication Number:
  US 20050221268A1
• Time in Patent Office: 4,109 Days
• Field of Search: 434/350, 335/0
• US Class Current: 1/1
• CPC Class Codes: G09B 7/02 of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student

Abstract

An adaptive system enables providers to customize educational objects and support services to maximize user engagement. The system is a self-service system for education for providers that includes a learning environment with interfaces for stakeholders, metrics for measuring the level of user engagement, and a customizable service configured to maximize user engagement. The system may operate in many domains, such as higher education, retail, government, test preparation and certification services, negotiations, and others.

Claims

1. A self-service system for education for providers, comprising:

a learning environment which uses biometric, non-biometric and system data to inform the selection and execution of support services which maximize user engagement metrics and enables providers to negotiate service level agreements based on said metrics, said learning environment selected from the group consisting of a user, an educational object, a support service, an individual, an aggregated user engagement metric, a performance against a service level agreement, a cost incurred, a charge assessed by a stakeholder, a charge against said stakeholder and any combination thereof, said learning environment, further comprising a plurality of interfaces for a plurality of said stakeholders, wherein said stakeholders comprise said user and a sponsor that use a first interface and a second interface of said plurality of interfaces, respectively;

at least one first metric for measuring a level of engagement of said user with said learning environment via said first interface that is collected in a user workspace;

wherein said sponsor using said second interface accesses said first metric in said user workspace and determines recommended object and/or service changes based on said first metric so as to provide a customizable service configured to maximize said user engagement with said learning environment;

wherein said user using one of said interfaces other than said second interface accepts said recommended object and/or service changes;

a list of a plurality of default objects or services presented on said first interface;

wherein said user accepts or declines at least one of said default objects or services;

wherein said declined object or service is eliminated from future presentations of said list for said user in said learning environment; and

a further second metric for measuring an effectiveness of said customizable service.

2. The system according to claim 1, wherein other stakeholders of said plurality of stakeholders are selected from the group consisting of:

a meta-provider, a provider, and any combination thereof.

3. The system according to claim 2, wherein said user is selected from the group consisting of:

a student, a teacher, a group of students, a group of teachers, an individual employee, a department, a company, a citizen, a geopolitical group, and any combination thereof.

4. The system according to claim 2, wherein said provider offers said customizable service to a meta-provider or directly to said user.

5. The system according to claim 1, wherein said user has access to said customizable service via said first interface and said user workspace.

6. The system according to claim 5, wherein said meta-provider aggregates said customizable service of at least one provider for delivery to at least one user.

7. The system according to claim 1, wherein said customizable service is selected from the group consisting of:

a playback of a live presentation, a computer-based training program, an animation, a simulation, a game, a language translator, and any combination thereof.

8. The system according to claim 2, wherein said sponsor authorizes delivery of at least one educational object or at least one support service and changes by a provider, on behalf of at least one user, wherein said sponsor is selected from the group consisting of:

a corporate buyer, a university, a governmental entity, and any combination thereof.

9. The system according to claim 1, wherein said stakeholders are physically co-located.

10. The system according to claim 1, wherein said stakeholders are accessible via at least one network-based technology.

11. The system according to claim 10, wherein said network-based technology is at least one selected from the group consisting of:

web conferencing, video conferencing, teleconferencing, text chat, and a virtual collaboration technology.

12. The system according to claim 1, wherein said plurality of interfaces includes at least one interface for providing at least one educational object to said user.

13. The system according to claim 12, wherein said education object is configurable to maximize said user engagement.

14. The system according to claim 13, wherein said configuration is performed consistent with user privacy preferences.

15. The system according to claim 1, wherein said plurality of interfaces includes at least one interface for providing at least one support service to said user.

16. The system according to claim 15, wherein said support service is configurable to maximize said user engagement.

17. The system according to claim 16, wherein said configuration is performed consistent with user privacy preferences.

18. The system according to claim 1, wherein said metric is based on data selected from the group consisting of:

biometric, non-biometric, device, distraction, and focus.

19. The system according to claim 18, wherein said data is collected consistent with user privacy preferences.

20. The system according to claim 1, wherein said metric is measured for a category selected from the group consisting of:

a group of users in a specific course, a department, a job classification, a specific providers, a meta-provider, and any combination thereof.

21. The system according to claim 2, further comprising at least one service level agreement between any combination of stakeholders, said service level agreement being based on said metric.

22. The system according to claim 21, further comprising:

a plurality of electronic connections between information technology infrastructures of any combination of said stakeholders and an online marketplace to facilitate negotiations for said service level agreement.

23. The system according to claim 22, wherein said electronic connections between information technology infrastructures of any combinations of stakeholders enables said user access to said learning environment of a sponsor.

24. The system according to claim 23, wherein said user access is provided by a mechanism selected from the group consisting of:

said sponsor'"'"'s intranet, said sponsor'"'"'s portal, and said user'"'"'s electronic workplace.

25. The system according to claim 21, wherein said service level agreement results from negotiations based on at least one auction.

26. The system according to claim 25, wherein said auction is conducted in whole or in part by at least one software agent.

27. The system according to claim 1, further comprising a delivery platform having a portal through which different workspaces and interfaces of the self service system can be displayed and operated on one or more user and provider devices.

28. The system according to claim 27, wherein said user and provider devices are selected from the group consisting of:

a PDA, a cellular phone, a tablet computer, a laptop computer, a desktop computer, and a workstation.

29. The system according to claim 27, wherein said portal provides a consistent and coherent user experience.

61. The system according to claim 1, wherein said further metric measures an extent to which current or recommended objects or services are dropped or rejected by said user.

30. A method of education that operates in a computer system that comprises a plurality of computers connected to a network, said method comprising:

providing through a portal of said system a learning environment which uses biometric, non-biometric and system data to inform the selection and execution of support services which maximize user engagement metrics and enables providers to negotiate service level agreements based on said metrics, said learning environment selected from the group consisting of a user, an educational object, a support service, an individual, an aggregated user engagement metric, a performance against a service level agreement, a cost incurred, a charge assessed by a stakeholder, a charge against said stakeholder and any combination thereof, said learning environment, further comprising a plurality of interfaces for a plurality of said stakeholders, wherein said stakeholders comprise said user and a sponsor that use a first interface and a second interface of said plurality of interfaces, respectively;

measuring at least one first metric that indicates a level of user engagement with said learning environment, using at least said first interface and a first one of said computers;

collecting said first metric in a user workspace;

providing said sponsor access to said metric in said user workspace via said second interface and a second one of said computers, wherein said sponsor determines recommended object and/or service changes based on said metric so as to provide a customizable service configured to maximize said user engagement with said learning environment;

wherein said user using one of said interfaces other than said second interface accepts said recommended object and/or service changes, which, when implemented, can maximize said user engagement with said learning environment;

presenting a list of a plurality of default objects or services on said first interface;

wherein said user accepts or declines at least one of said default objects or services;

eliminating said declined object or service from future presentations of said list for said user in said learning environment; and

measuring at least a further second metric that indicates an effectiveness of said customizable service.

31. The method according to claim 30, further comprising:

monitoring said learning environment; and

collecting any changes in status data associated with said learning environment.

32. The method according to claim 31, wherein said learning environment includes at least one item selected from the group consisting of:

a user, an educational object, a support service, an individual, an aggregated user engagement metric, a performance against a service level agreement, a cost incurred, a charge assessed by a stakeholder, a charge against said stakeholders, and any combination thereof.

33. The method according to claim 32, further comprising a plurality of said items and providing at least one relationship between at least two of said items for stakeholder analysis and decision making.

34. The method according to claim 32, further comprising:

recommending a change to at least one said educational object for a group of users who share a learning environment.

35. The method according to claim 34, wherein said educational object is selected from the group consisting of:

a text, a multimedia presentation, a training session, a training manual, an audio clip, a video clip, a web site, a corporate web site, a government web site, a course, a qualification course, a course in a degree program, and any combination thereof.

36. The method according to claim 34, wherein said change to said educational object is selected from the group consisting of:

a volume, a color, a contrast, a tone, a voice, a teaching style, a subject matter, a quiz, a question, a work flow, a pace, an educational complexity, an educational sophistication, a level of detail, a level of animation, an insertion of a break, a sensory stimulant, and any combination thereof.

37. The method according to claim 36, wherein said sensory stimulant is selected from the group consisting of:

a joke, a scream, a burst of air, a mouse vibration, a keyboard vibration, an aroma, a music selection, a timbre, an amount of bass, an amount of treble, a blinking, a gender of a live teacher, an ethnicity of a live teacher, a vocal accent of a live teacher, an appearance of a live teacher, a gender of a simulated teacher, an ethnicity of a simulated teacher, a vocal accent of a simulated teacher, an appearance of a simulated teacher, and any combination thereof.

38. The method according to claim 32, further comprising:

recommending a change to at least one said support service for a group of users who share a learning environment.

39. The method according to claim 38, wherein said at least one support service is selected from the group consisting of:

an information transmission, a text summarization, a language translation, a technical glossary, a capture and replay of live presentations, and any combination thereof.

40. The method according to claim 38, wherein said change to said at least one support service is selected from the group consisting of:

adding one of said support services, removing one of said support services, modifying one of said support services, changing a start of one of said support services, changing a stop time of one of said support services, changing an intensity of one of said support services, changing a duration of one of said support services, and any combination thereof.

41. The method according to claim 30, further comprising:

basing teacher performance ratings in whole or in part on performance against at least one service level agreement.

42. The method according to claim 30, further comprising:

basing teacher compensation in whole or in part on performance against at least one service level agreement.

43. The method according to claim 30, wherein said at least one metric is based on data selected from the group consisting of:

biometric data, non-biometric data, device data, distraction data, and focus data.

44. The method according to claim 43, wherein said biometric data includes behavior, speech and gestures.

45. The method according to claim 43, wherein said biometric data is selected from the group consisting of:

heart rate, breathing rate, body temperature, brain waves, blood pressure, blood composition, disease state, pupil dilation amount, iris size, eye gaze and focus, eye movements, voice quality assessment in a speech recognition system, facial expression, degree of movement, repetition of movement, an indicator of arousal, an indicator of emotion, a shift in body position, a fidgeting movement, and any combination thereof.

46. The method according to claim 43, wherein said non-biometric data is selected from the group consisting of:

degree of multitasking, efficiency of task performance, number of non-learning task related windows open, changes in grammar, spelling proficiency, and any combination thereof.

47. The method according to claim 43, wherein said device data is selected from the group consisting of:

processor speed, memory capacity, system load status, network bandwidth, network transmission speed, overall response time of tools for a user, and any combination thereof.

48. The method according to claim 43, wherein said focus data is selected from the group consisting of:

a time spent on a web page related to a presentation, a cursor movement on a presentation, a selection of an input on a presentation, a scroll time on a presentation, and any combination thereof.

49. The method according to claim 43, wherein said distraction data is selected from the group consisting of:

a time on a web page that is not related to a presentation, an exchange of email with another student, an instant message with another student, a gaze out a window, a decreased typing speed, a lack of mouse motion, talking on a phone, talking to another, an incorrect response, a slow response, an inappropriate response, and any combination thereof.

62. The method according to claim 30, wherein said further metric measures an extent to which current or recommended objects or services are dropped or rejected by said user.

50. A computer readable medium having executable instructions stored thereon to perform a method of education, said method comprising:

providing a learning environment which uses biometric, non-biometric and system data to inform the selection and execution of support services which maximize user engagement metrics and enables providers to negotiate service level agreements based on said metrics, said learning environment selected from the group consisting of a user, an educational object, a support service, an individual, an aggregated user engagement metric, a performance against a service level agreement, a cost incurred, a charge assessed by a stakeholder, a charge against said stakeholder and any combination thereof, said learning environment, further comprising a plurality of interfaces for a plurality of said stakeholders, wherein said stakeholders comprise said user and a sponsor that use a first interface and a second interface of said plurality of interfaces, respectively;

measuring at least one first metric that indicates a level of user engagement with said learning environment via said first interface and a first one of said computers;

collecting said metric in a user workspace;

providing said sponsor access to said first metric in said user workspace via said second interface and a second one of said computers, wherein said sponsor determines recommended object and/or service changes based on said metric so as to provide a customizable service configured to maximize said user engagement with said learning environment;

wherein said user using one of said interfaces other than said second interface accepts said recommended object and/or service changes;

presenting a list of a plurality of default objects or services on said first interface;

wherein said user accepts or declines at least one of said default objects or services; and

eliminating said declined object or service from future presentations of said list for said user in said learning environment;

and measuring at least a further second metric that indicates an effectiveness of said customizable service.

51. The computer readable medium according to claim 50, wherein one of said interfaces receives a selection of said metric from categories, wherein said categories are selected from the group consisting of:

biometric, non-biometric, user device, focus and distraction data to be used in determining said at least one metric, and further wherein said plurality of interfaces receives a relative importance of each selected category.

52. The computer readable medium according to claim 50, further comprising:

restricting, by an organization, a user'"'"'s choices of categories selected from the group consisting of;

providers and meta-providers, specific providers and meta-providers.

53. The readable medium according to claim 52, wherein said restricting is performed regardless of the provider.

54. The readable medium according to claim 52, wherein said restricting is performed based on a criteria selected from the group consisting of:

cost, privacy, intrusiveness, and any combination thereof.

55. The computer readable medium according to claim 50, further comprising:

restricting, by an organization, educational object or support service choices and changes.

56. The computer readable medium according to claim 55, wherein said restricting is performed regardless of the provider.

57. The computer readable medium according to claim 55, wherein said restricting is performed based on a criteria selected from the group consisting of:

cost, privacy, intrusiveness, and any combination thereof.

58. The computer readable medium according to claim 50, wherein said learning environment has a domain selected from the group consisting of:

learning, training, education, teacher preparation, teacher certification, teacher presentation skills coaching, and any combination thereof.

59. The computer readable medium according to claim 50, wherein said learning environment is in a form of collaboration with at least one colleague.

60. The computer readable medium according to claim 59, wherein a purpose of said collaboration is selected from the group consisting of:

learning, business strategy, business tactics, business use, personal use, negotiation, trading, and any combination thereof.

63. The computer readable medium according to claim 50, wherein said further metric measures an extent to which current or recommended objects or services are dropped or rejected by said user.