Course skeleton for adaptive learning

• US 10,360,809 B2
• Filed: 06/10/2013
• Issued: 07/23/2019
• Est. Priority Date: 10/12/2011
• Status: Active Grant

• Current Assignee: University of Phoenix Incorporated
• Original Assignee: Apollo Education Group, Inc.
• Inventors: Menon, Satish, Muthukumarasamy, Jayakumar, Saha, Partha, Taylor, Kurtis S., Utter, James R.
• Primary Examiner(s): Thai, Xuan M
• Assistant Examiner(s): Zaman, Sadaruz
• Application Number:
  US13/913,965
• Publication Number:
  US 20130280690A1
• Time in Patent Office: 2,234 Days
• Field of Search: 434236, 434322, 434323
• CPC Class Codes: G06Q 50/20 Education
• CPC Class Codes: G09B 7/00 Electrically-operated teaching apparatus or devices working with questions and answers mechanically operated G09B3/00; computing arrangements G06F
• 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

A method and apparatus for utilizing a course skeleton for adaptive learning is provided. Based on student profile information and course goal information, a query is generated to dynamically determine which learning items should be presented to the student. The query, which is based on a particular learning goal, may differ from student to student, and therefore different students may be presented with different learning items to achieve the same learning goal. In addition, as new learning items is added to the learning item repository, the learning items returned by the query for a particular learning goal may change, even if the query used for the goal does not.

Claims

1. A method comprising:

maintaining a hierarchy of learning goals that includes a plurality of learning goal nodes, each node corresponding to a learning goal;

adding, to the hierarchy of learning goals, a first learning goal node corresponding to a particular learning goal;

wherein the first learning goal node is associated with a particular set of learning goal metadata;

wherein the particular set of learning goal metadata includes a particular set of metadata items for finding learning items;

wherein the particular set of metadata items does not identify any particular learning items;

maintaining a learning item repository, wherein the learning item repository includes a plurality of learning items;

receiving a request for learning items for a particular user;

automatically determining that the request is for learning items to assist the particular user to achieve the particular learning goal;

in response to determining that the request is for learning items to assist the particular user to achieve the particular learning goal;

automatically identifying the first learning goal node in the hierarchy of learning goals,

automatically identifying the particular set of metadata items included in the particular set of learning goal metadata associated with the first learning goal node, and

automatically using the particular set of metadata items to identify a particular learning item, from the learning item repository, to facilitate achievement of the particular learning goal; and

automatically providing the particular learning item as a response to the request for learning items;

wherein the steps of maintaining the hierarchy of learning goals, maintaining the learning item repository, receiving the request, using the particular set of metadata items, and providing the particular learning item are performed by one or more computing devices.

2. The method of claim 1, wherein:

the particular set of metadata items include a metadata item that identifies a learning theory; and

automatically using the particular set of metadata items to identify a particular learning item includes finding a particular learning item based, at least in part, on the learning theory.

3. The method of claim 1, wherein:

the particular set of metadata items include a metadata item that identifies a content type; and

automatically using the particular set of metadata items to identify a particular learning item includes finding a particular learning item that is associated with the content type.

4. The method of claim 1, wherein:

the particular set of metadata items include a metadata item that identifies a keyword; and

automatically using the particular set of metadata items to identify a particular learning item includes finding a particular learning item that is associated with the keyword.

5. The method of claim 1, wherein:

the particular set of metadata items includes particular content; and

automatically using the particular set of metadata items to identify a particular learning item includes;

performing a semantic analysis of the particular content to determine keywords, and

finding a particular learning item that is associated with one or more of the keywords.

6. The method of claim 1, wherein:

the hierarchy of learning goals represents all of the learning goals required to complete an educational course; and

the method further comprises linking the first learning goal node to a second learning goal node in the hierarchy of learning goals;

wherein the link between the first learning goal node and the second learning goal node indicates that completing the second learning goal node is a prerequisite to the first learning goal node.

7. The method of claim 6, wherein a second link between the second learning goal node and a third learning goal node of the hierarchy of learning goals indicates that completing the second learning goal node is a prerequisite to the third learning goal node.

8. The method of claim 6, wherein a second link between the first learning goal node and a third learning goal node of the hierarchy of learning goals indicates that completing the third learning goal node is a prerequisite to the first learning goal node.

9. The method of claim 1, wherein:

the particular set of metadata items include an assessment metadata item that identifies an assessment that is configured to demonstrate a user'"'"'s knowledge associated with the particular learning goal; and

the method further comprises;

prior to receiving the request for learning items;

receiving results of the assessment that is identified in the assessment metadata item,

analyzing the results of the assessment to determine a level of learning item; and

wherein automatically using the particular set of metadata items to identify the particular learning item further comprises using the determined level of learning item to identify the particular learning item; and

wherein the particular learning item is associated with the determined level of learning item.

10. The method of claim 1, wherein automatically using the particular set of metadata items to identify a particular learning item further comprises:

generating a query that includes arguments that are based at least in part on one or more of the particular set of metadata items; and

causing the query to be executed against the learning item repository.

11. One or more non-transitory computer readable media storing instructions which, when executed by one or more processors, cause performance of the steps of:

maintaining a hierarchy of learning goals that includes a plurality of learning goal nodes, each node corresponding to a learning goal;

adding, to the hierarchy of learning goals, a first learning goal node corresponding to a particular learning goal;

wherein the first learning goal node is associated with a particular set of learning goal metadata;

wherein the particular set of learning goal metadata includes a particular set of metadata items for finding learning items;

wherein the particular set of metadata items does not identify any particular learning items;

maintaining a learning item repository, wherein the learning item repository includes a plurality of learning items;

receiving a request for learning items for a particular user;

automatically determining that the request is for learning items to assist the particular user to achieve the particular learning goal;

in response to determining that the request is for learning items to assist the particular user to achieve the particular learning goal;

automatically identifying the first learning goal node in the hierarchy of learning goals,

automatically identifying the particular set of metadata items included in the particular set of learning goal metadata associated with the first learning goal node, and

automatically using the particular set of metadata items to identify a particular learning item, from the learning item repository, to facilitate achievement of the particular learning goal; and

automatically providing the particular learning item as a response to the request for learning items.

12. The one or more non-transitory computer readable media of claim 11, wherein:

the particular set of metadata items include a metadata item that identifies a learning theory; and

automatically using the particular set of metadata to identify a particular learning item includes finding a particular learning item based, at least in part, on the learning theory.

13. The one or more non-transitory computer readable media of claim 11, wherein:

the particular set of metadata items include a metadata item that identifies a content type; and

automatically using the particular set of metadata items to identify a particular learning item includes finding a particular learning item that is associated with the content type.

14. The one or more non-transitory computer readable media of claim 11, wherein:

the particular set of metadata items include a metadata item that identifies a keyword; and

automatically using the particular set of metadata items to identify a particular learning item includes finding a particular learning item that is associated with the keyword.

15. The one or more non-transitory computer readable media of claim 11, wherein:

the particular set of metadata items includes particular content; and

automatically using the particular set of metadata items to identify a particular learning item includes;

performing a semantic analysis of the particular content to determine keywords, and

finding a particular learning item that is associated with one or more of the keywords.

16. The one or more non-transitory computer readable media of claim 11, wherein:

the hierarchy of learning goals represents all of the learning goals required to complete an educational course; and

the instructions further comprise instructions for linking the first learning goal node to a second learning goal node in the hierarchy of learning goals;

wherein the link between the first learning goal node and the second learning goal node indicates that completing the second learning goal node is a prerequisite to the first learning goal node.

17. The one or more non-transitory computer readable media of claim 16, wherein a second link between the second learning goal node and a third learning goal node of the hierarchy of learning goals indicates that completing the second learning goal node is a prerequisite to the third learning goal node.

18. The one or more non-transitory computer readable media of claim 16, wherein a second link between the first learning goal node and a third learning goal node of the hierarchy of learning goals indicates that completing the third learning goal node is a prerequisite to the first learning goal node.

19. The one or more non-transitory computer readable media of claim 16, wherein:

the particular set of metadata items include an assessment metadata item that identifies an assessment that is configured to demonstrate a user'"'"'s knowledge associated with the particular learning goal; and

the instructions further comprise instructions for;

prior to receiving the request for learning items;

receiving results of the assessment that is identified in the assessment metadata item,

analyzing the results of the assessment to determine a level of learning item; and

wherein automatically using the particular set of metadata items to identify the particular learning item further comprises using the determined level of learning item to identify the particular learning item; and

wherein the particular learning item is associated with the determined level of learning item.

20. The one or more non-transitory computer readable media of claim 11, wherein automatically using the particular set of metadata items to identify a particular learning item further comprises:

generating a query that includes arguments that are based at least in part on one or more of the particular set of metadata items; and

causing the query to be executed against the learning item repository.