Systems and method for automated data packet selection and delivery

• US 10,735,402 B1
• Filed: 08/03/2017
• Issued: 08/04/2020
• Est. Priority Date: 10/30/2014
• Status: Active Grant

• Current Assignee: Pearson Education Incorporated (Pearson plc)
• Original Assignee: Pearson Education Incorporated (Pearson plc)
• Inventors: Anderson, Jacob, Ensign, Daniel
• Primary Examiner(s): Crompton, Christopher R
• Application Number:
  US15/668,635
• Time in Patent Office: 1,097 Days
• Field of Search: 370477
• CPC Class Codes: H04L 63/045 wherein the sending and receiving network entities apply hybrid encryption, i.e. combination of symmetric and asymmetric encryption cryptographic mechanisms or cryptographic arrangements using a plurality of keys or algorithms H04L9/14
• CPC Class Codes: H04L 63/0823 using certificates cryptographic mechanisms or cryptographic arrangements for entity authentication involving certificates H04L9/3263
• CPC Class Codes: H04L 67/01 Protocols
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/1097 for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/563 Data redirection of data network streams
• CPC Class Codes: H04L 67/566 Grouping or aggregating service requests, e.g. for unified processing
• CPC Class Codes: H04L 67/62 Establishing a time schedule for servicing the requests

Abstract

Systems and methods for automated data packet selection and delivery are disclosed herein. The system can include a memory containing a data packet database including data packets for delivery to a user; and a user profile database including information identifying at least one user. The system can include a user device and one or several servers. The one or several servers can: receive a request for delivery of a set of data packets to a user via the user device; identify potential data packets for delivery to the user via the user device; determine a probability of the user providing a desired response to each of the potential data packets; weight the data packets according to weighting data and the determined probability; select a set of data packets from the potential data packets; and provide the set of data packets to the user via the user device.

Claims

1. A system for automated data packet selection and delivery,

the system comprising:

memory comprising;

a data packet database comprising a plurality of data packets for delivery to a user, each of the plurality of data packets comprising a question for determining a skill level achieved by the user after consuming a content in a plurality of contents, and a metadata associated with each of the plurality of data packets, the metadata including a difficulty level of the question;

a user profile database comprising information identifying at least one user and a user metadata associated with each of the at least one user, wherein the user metadata identifies an attribute of one of the at least one user with which the metadata is associated, the attribute comprising the skill level of the one of the at least one user; and

a user device configured to request a review of the content;

one of several servers, wherein the one or several servers are configured to;

receive, responsive to a determination that the user has progressed through the plurality of contents beyond a review threshold stored in the memory, wherein the review threshold determines whether the user is authorized to access the review, a request for delivery of a set of data packets in the plurality of data packets to the user via the user device;

identify a plurality of potential data packets, from the plurality of data packets, for delivery to the user via the user device;

determine, according to a statistical model using the skill level of the user stored in the user metadata and the difficulty level of the question stored in the data packet metadata, a probability of the user providing a desired response to each of the plurality of potential data packets, the desired response comprising a correct response to the question;

weight each of the plurality of potential data packets according to a weighting data and the determined probability, the weighting data being determined according to a weight function comprising a weighting curve having a normal distribution positioned with a mean determined by a second plurality of data packets having a lowest probability of receiving from the user the correct response to the question;

select a selected set of data packets from the plurality of potential data packets; and

provide the selected set of data packets to the user via the user device.

2. The system of claim 1, wherein the weighting data comprises a weighting curve, and wherein the weighting curve comprises a truncated Gaussian distribution positioned to prefer data packets associated with the lowest probability of the user providing the desired response.

3. The system of claim 1, wherein the weighting data comprises a weighting curve, and wherein the weighting curve comprises a truncated Gaussian distribution positioned with the mode associated with data packets associated with the lowest probability of the user providing the desired response.

4. The system of claim 3, wherein selecting the set of data packets from the potential data packets comprises selecting at least one data packet for inclusion in the set of data packets.

5. The system of claim 4, wherein each selected data packet from the at least one data packet selected for inclusion is removed from the potential data packets.

6. The system of claim 5, wherein the one or several servers are further configured to retrieve progress status data and a review threshold;

compare the progress status data and the review threshold; and

identify potential data packet for delivery to the user when the comparison of the progress status data and the review threshold indicates providing of data packets to the user.

7. The system of claim 6, wherein the one or several servers are further configured to:

categorize the potential data packets according to the determined probability of the user providing a desired response to each of the potential data packets; and

apply the weighting data to each of the categories of potential data packets.

8. The system of claim 7, wherein the one or several servers are further configured to:

receive response data from the user device to the data packets in the selected set of data packets;

evaluate the received response data; and

update the user metadata based on the received response data.

9. The system of claim 8, wherein selecting the selected set of data packets from the potential data packets comprises:

(a) selecting a data packet for inclusion in the set of data packets;

(b) removing the selected data packet from the potential data packets;

(c) determining if the set of data packets is filled; and

(d) repeating steps (a)-(c) until the set of data packets is filled.

10. The system of claim 9, wherein the weighting of the data packets remains the same after the removal of the selected data packet form the potential data packets.

11. A method for automated data packet selection and delivery, the method comprising:

receiving at one or several servers, responsive to a determination that a user has progressed through a plurality of contents beyond a review threshold stored in memory, the review threshold determining whether the user is authorized to access a review of a content, a request for delivery of a set of data packets to the user via a user device from the user device;

identifying with the one or several servers a plurality of potential data packets for delivery to the user via the user device from a data packet database comprising a plurality of data packets for delivery to the user and metadata associated with each of the plurality of data packets, each of the plurality of data packets comprising a question for determining a skill level achieved by the user after consuming the content in the plurality of contents, the data packet database coupled to a database including a user profile database comprising data identifying at least one user and including a user metadata identifying an attribute for the at least one user, the attribute comprising the skill level of the at least one user;

determining with the one or several servers, according to a statistical model using the skill level of the user stored in the user metadata and a difficulty level of the question stored in a data packet metadata, a probability of the user providing a desired response to each of the plurality of potential data packets, the desired response comprising a correct response to the question;

weighting with the one or several servers each of the plurality of potential data packets according to a weighting data and the determined probability, the weighting data being determined according to a weight function comprising a weighting curve having a normal distribution positioned with a mean determined by a second plurality of data packets having a lowest probability of receiving from the user the correct response to the question;

selecting with the one or several servers a selected set of data packets from the plurality of potential data packets; and

providing with the one or several servers the selected set of data packets to the user.

12. The method of claim 11, wherein providing the set of data packets to the user comprises generating and sending an electrical communication to the user device, wherein the electrical communication comprises at least one of the set of data packets as a payload.

13. The method of claim 12, wherein weighting with the one or several servers the data packets according to weighting data and the determined probability further comprises retrieving weighting data.

14. The method of claim 13, wherein the weighting data comprises a weighting curve, wherein the weighting curve comprises a truncated Gaussian distribution positioned with the mode associated with data packets associated with the lowest probability of the user providing the desired response.

15. The method of claim 14, wherein selecting the selected set of data packets from the potential data packets comprises selecting at least one data packet for inclusion in the set of data packets, and wherein each selected data packet from the at least one data packet selected for inclusion is removed from the potential data packets.

16. The method of claim 15, further comprising:

retrieving progress status data and a review threshold;

comparing the progress status data and the review threshold; and

identifying potential data packet for delivery to the user when the comparison of the progress status data and the review threshold indicates providing of data packets to the user.

17. The method of claim 16, further comprising:

categorizing the potential data packets according to the determined probability of the user providing a desired response to each of the potential data packets; and

applying the weighting data to each of the categories of potential data packets.

18. The method of claim 17, further comprising:

receiving response data from the user device to the data packets in the provided set of data packets;

evaluating the received response data; and

updating the user metadata based on the received response data.

19. The method of claim 18, wherein selecting the selected set of data packets from the potential data packets comprises:

(a) selecting a data packet for inclusion in the set of data packets;

(b) removing the selected data packet from the potential data packets;

(c) determining if the set of data packets is filled; and

(d) repeating steps (a)-(e) until the set of data packets is filled, and

wherein the weighting of the data packets remains the same after the removal of the selected data packet form the potential data packets.