Systems and methods for motivation-based course selection

US9984073B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9984073-B2
Application numberUS-201514629059-A
CountryUS
Kind codeB2
Filing dateFeb 23, 2015
Priority dateFeb 23, 2015
Publication dateMay 29, 2018
Grant dateMay 29, 2018

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

An electronic method for course selection. The method includes identifying at least one user motivation associated with 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. In some cases the method may include receiving an input from the user associated with the at least one course recommendation. The method may also include enrolling the user in a course based on the input received in association with the course recommendation.

First claim

Opening claim text (preview).

The invention claimed is: 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.

Assignees

Inventors

Classifications

  • Education administration or guidance · CPC title

  • Marketing; Price estimation or determination; Fundraising · CPC title

  • G06F16/00Primary

    Information retrieval; Database structures therefor; File system structures therefor · CPC title

  • G09B5/00Primary

    Electrically-operated educational appliances (working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F) · CPC title

  • G06F17/30Primary

    Physics · mapped topic

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What does patent US9984073B2 cover?
An electronic method for course selection. The method includes identifying at least one user motivation associated with 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. In some cases the method may include receiving an input from the user associated …
Who is the assignee on this patent?
Auger Jeremy, D2L Corp
What technology area does this patent fall under?
Primary CPC classification G06F16/00. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue May 29 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 5 related publications on this page (citations in our corpus or others sharing the same primary CPC).