Systems and methods for motivation-based course selection

1. An electronic method for course selection, comprising:

identifying at least one user motivation associated with at least one user, wherein the user motivation associated with the at least one user includes a measure associated with an academic performance of the at least one user in relation to a learning management system, and a measure associated with an activity level of the at least one user in relation to the learning management system, wherein the measure associated with the activity level is associated with a pattern of behavior of the at least one user;

identifying at least one course recommendation based on the at least one user motivation; and

displaying the at least one course recommendation to the user on a display device.

2. The method of claim 1 , further comprising receiving an input from the user associated with the at least one course recommendation.

3. The method of claim 2 further comprising enrolling the user in a course based on the input received in association with the course recommendation.

4. The method of claim 2 , wherein, if the input is a decision to ignore a particular course, then removing that particular course from the display and updating the at least one course recommendation displayed to the user.

5. The method of claim 1 , wherein the course recommendation includes identifying a recommended course for that user to enroll.

6. The method of claim 1 , wherein the course recommendation includes identifying a course for that user to avoid enrolling in.

7. The method of claim 1 , wherein the user motivation includes an explicit user motivation.

8. The method of claim 7 wherein the explicit user motivation includes an identified user interest.

9. The method of claim 7 wherein the explicit user motivation includes a user employment objective.

10. The method of claim 7 wherein the explicit user motivation includes a user educational objective.

11. The method of claim 7 wherein the explicit user motivation includes an identified social relationship.

12. The method of claim 1 wherein the user motivation includes an inferred user motivation.

13. The method of claim 12 wherein the inferred user motivation is based on historical data about the user.

14. The method of claim 12 wherein the inferred user motivation is based on behavioral data for that user.

15. The method of claim 1 , wherein the at least one user motivation includes a plurality of user motivations, and the user motivations are weighted differently.

16. The method of claim 15 wherein the plurality of user motivations are weighted differently depending on whether the user motivations are explicit or inferred.

17. The method of claim 1 wherein the at least one course recommendation is identified based on information received about at least one course.

18. The method of claim 17 , wherein the information received about the at least one course includes information manually associated with the at least one course.

19. The method of claim 18 wherein the information manually associated with the at least one course includes at least one of a title and meta-data.

20. The method of claim 17 , wherein the information received about the at least one course includes information automatically determined about the at least one course by analyzing data associated with the at least one course.

21. The method of claim 1 , wherein the measure associated with an activity level of the at least one user in relation to the learning management system is determined based at least in part on one or more of a participation level of the at least one user within a particular course, and an interaction between the at least one user and at least one other user.

22. The method of claim 1 , wherein the identifying at least one course recommendation based on the at least one user motivation comprises analyzing content associated with one or more courses provided by the learning management system.