Learner profile for learning application programs

• US 20080254431A1
• Filed: 04/13/2007
• Published: 10/16/2008
• Est. Priority Date: 04/12/2007
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Woolf, Susan D., Moraveji, Neema, O'Kelley, Patrick, Pal, Joyojeet, Ganapathy, Mythreyee
• Application Number:
  US11/786,833
• Publication Number:
  US 20080254431A1
• Time in Patent Office: Days
• US Class Current: 434/322
• 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 computerized learning system and method is provided. According to the method, user performance data for a unique user may be received from learning application programs executed on a user client device. The received user performance data may be used to determine an assessed user learning level for the user. The assessed user learning level may be stored in a learner profile for the user and may be sent to a learning application program upon request.

Claims

1. A computerized learning method, comprising:

receiving user performance data for a unique user from a plurality of learning application programs executed on a user client device;

determining an assessed user learning level based on the user performance data;

storing the assessed user learning level in a profile of the user; and

sending the user learning level to a requesting learning application program.

2. The method of claim 1, further comprising:

adjusting content of the requesting learning application program, based on the profile of the user.

3. The method of claim 1, further comprising:

displaying a view of the profile on a graphical user interface.

4. The method of claim 1, further comprising:

displaying a statistical comparison of the profile of the user with profiles of other users on a graphical user interface.

5. The method of claim 1, wherein the profile of the user is stored at a location accessible by a local learning service on a user client device.

6. The method of claim 1, wherein the profile of the user is stored in a data store accessible to an online learning service program, remote from a user client device.

7. The method of claim 1, wherein a local copy of the profile of the user is stored on a user client device or a peripheral thereof, and a remote copy of the profile of the user is stored at an online learning service, the method further comprising, syncing the local copy and the remote copy of the profile of the user according to predetermined sync rules.

8. The method of claim 1, wherein determining the assessed user learning level is an intra-game assessment accomplished at least in part by a local learning service executed on the user client device.

9. The method of claim 1, wherein determining the assessed user learning level is accomplished at least in part by an online learning service executed on an online server system.

10. The method of claim 9, wherein the data in the profile is organized according to a predefined schema.

11. The method of claim 1, wherein the profile of the user is organized according to a profile schema, and is configured to store learning level data for each of a plurality of skills.

12. The method of claim 11, wherein the plurality of skills include one or more language acquisition skills.

13. The method of claim 12, wherein the language acquisition skills include vocabulary mastery, and wherein the profile of the user is configured to store vocabulary words known to the user.

14. The method of claim 13, wherein the language acquisition skills further include at least one of reading, speaking, writing, spelling, and listening to the vocabulary words.

15. The method of claim 11, wherein the plurality of skills includes a mathematical skill.

16. The method of claim 1, wherein the profile of the user is configured to store one or more of profile meta data, user setting data, access control data, community member data, game data, and user storage data.

17. A computerized learning system, comprising:

an application programming interface configured to receive user performance data from a plurality of learning application programs executed on a user client device and store the user performance data in a profile of the user in non-volatile memory accessible from the user client device;

a learning service program configured to read user performance data from the profile of the user, and process the user performance data to determine an assessed user learning level for a skill; and

wherein the application programming interface is configured to send the assessed user learning level for the skill to a requesting learning application program.

18. The system of claim 17, wherein the requesting learning application program is configured to adjust content based on the assessed user learning level.

19. A computerized learning system, comprising:

a learning service program having a graphical user interface configured to display a view of a profile of the user, the view including a graphical representation of assessed user learning levels for one or more skills, the assessed user learning levels being computed based on user performance data received by the learning service program from a plurality of learning applications.

20. The system of claim 19, wherein the graphical user interface is configured to display a statistical comparison of the profile of the user with profiles of other users on the graphical user interface.