Automatic Determination of User Alignments and Recommendations for Electronic Resources

• US 20130040277A1
• Filed: 08/13/2012
• Published: 02/14/2013
• Est. Priority Date: 08/12/2011
• Status: Active Grant

• Current Assignee: Frontline Technologies Group LLC (Roper Technologies, Inc.)
• Original Assignee: School Improvement Network, LLC (Roper Technologies, Inc.)
• Inventors: Linton, Cory John, Linton, Chet D.
• Granted Patent: US 8,483,606 B2
• Time in Patent Office: Days
• US Class Current: 434/350
• CPC Class Codes: G06Q 10/101 Collaborative creation, e.g. joint development of products or services
• 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 7/02 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

Various implementations for automatically determining user alignments and recommendations for electronic resources are described. One example implementation includes an assessment module, an alignment module, and a recommender. The assessment module determines performance levels of two or more users of an educational platform. The alignment module determines an alignment between the two or more users of the educational platform based on the performance levels of the two or more users. The recommender generates a recommendation for a social graph connection between the two or more users in a social graph based on the alignment.

Claims

1. A computer-implemented method comprising:

determining performance levels of two or more users of an educational platform;

determining an alignment between the two or more users of the plurality based on the performance levels of the two or more users; and

generating a recommendation for a social graph connection between the two or more users in a social graph of the educational platform based on the alignment.

2. The computer-implemented method of claim 1, wherein the determining of the alignment between the two or more users includes:

identifying a first user having a performance level that does not satisfy a standard; and

identifying, as a mentor for the first user, a second user having a performance level satisfying the specific criterion.

3. The computer-implemented method of claim 1, wherein the determining of the alignment between the two or more of the users includes:

identifying, as a learning community, three or more users of the educational platform based on the performance levels of the three or more users and attributes common or compatible between the three or more users.

4. The computer-implemented method of claim 1, comprising:

providing the recommendation to a user for presentation;

receiving a recommendation response from the user responsive to the providing of the recommendation; and

defining, in the social graph, a social graph connection between each of the two or more users responsive to the receiving of the recommendation response, the social graph connection reflecting the alignment.

5. The computer-implemented method of claim 1, comprising:

receiving an alignment request from the user, wherein the determining of the alignment is made responsive to the receiving of the alignment request, and the user is one of the two or more users.

6. The computer-implemented method of claim 1, comprising:

aggregating data including one or more of achievement data, profile data, demographics data, standards data, and assessment data, wherein the performance levels of the users are determined based at least in part on the data.

7. The computer-implemented method of claim 1, comprising:

identifying an electronic resource interacted with by the two or more users; and

recommending or assigning the electronic resource to a user having an attribute compatible or in common with the two or more users.

8. A computer program product comprising a non-transitory computer-usable medium including instructions which, when executed by a computer, cause the computer to:

determine performance levels of two or more users of an educational platform;

determine an alignment between the two or more users of the educational platform based on the performance levels of the two or more users; and

generate a recommendation for a social graph connection between the two or more users in a social graph of the educational platform based on the alignment.

9. The computer program product of claim 8, wherein to determine the alignment between the two or more users includes:

identifying a first user having a performance level that does not satisfy a standard; and

identifying, as a mentor for the first user, a second user having a performance level satisfying the standard.

10. The computer program product of claim 8, wherein to determine the alignment between the two or more users includes:

identifying, as a learning community, three or more users of the educational platform based on the performance levels of the three or more users and attributes common or compatible between the three or more users.

11. The computer program product of claim 8, wherein the instructions further cause the computer to:

provide the recommendation to a user for presentation;

receive a recommendation response from the user responsive to the recommendation being provided; and

define, in the social graph, a social graph connection between each of the two or more users responsive to the recommendation response being received, the social graph connection reflecting the alignment.

12. The computer program product of claim 8, wherein the instructions further cause the computer to:

receive an alignment request from the user, the alignment being determined responsive to the receiving of the alignment request, and the user being one of the two or more users.

13. The computer program product of claim 8, wherein the instructions further cause the computer to:

aggregate data including one or more of achievement data, profile data, demographics data, standards data, and assessment data, wherein the performance levels of the users are determined based at least in part on the data.

14. The computer program product of claim 8, wherein the instructions further cause the computer to:

identify an electronic resource interacted with by the two or more users; and

recommend or assign the electronic resource to a user having an attribute compatible or in common with the two or more users.

15. A system comprising:

one or more processors;

an assessment module, executable by the one or more processors, to determine performance levels of two or more users of an educational platform;

an alignment module, executable by the one or more processors, to determine an alignment between the two or more users of the educational platform based on the performance levels of the two or more users; and

a recommender, executable by the one or more processors, to generate a recommendation for a social graph connection between the two or more users in a social graph based on the alignment.

16. The system of claim 15, wherein the recommender is coupled to receive the alignment from the alignment module or a data store, and the alignment module is coupled to receive the performance levels from the assessment module or a data store.

17. The system of claim 15, wherein the alignment module is further configured to determine the alignment between the two or more of the users based on an alignment type.

18. The system of claim 15, wherein the alignment module is further configured to determine the alignment between the two or more of the users by identifying a first user having a performance level that does not satisfy a standard, and identifying, as a mentor for the first user, a second user having a performance level satisfying the standard.

19. The system of claim 15, wherein the alignment module is further configured to determine the alignment between the two or more of the users by identifying, as a learning community, three or more users of the educational platform based on the performance levels of the three or more users and attributes common or compatible between the three or more users.

20. The system of claim 15, comprising:

a communication unit for sending and receiving data; and

a graphing module, executable by the one or more processors, to define, in a social graph, a social graph connection between each of the two or more users that reflects the alignment, wherein the recommender is coupled to the communication unit to provide the recommendation to the user for presentation and to receive a recommendation response from the user responsive to the recommendation being provided.

21. The system of claim 15, comprising:

an aggregator, executable by the one or more processors, to aggregate data including one or more of achievement data, profile data, demographics data, standards data, and assessment data, wherein the assessment module is configured to determine the performance levels of the two or more users based at least in part on the data.

22. The system of claim 15, comprising:

an analyzer, executable by the one or more processors, to identify an electronic resource interacted with by the two or more users and to recommend or assign the electronic resource to a user having an attribute compatible or in common with the two or more users.