METHODS AND SYSTEMS TO GENERATE PERSONALISED E-CONTENT

• US 20110076654A1
• Filed: 09/30/2010
• Published: 03/31/2011
• Est. Priority Date: 09/30/2009
• Status: Abandoned Application

• Current Assignee: Dreambox Learning, Inc.
• Original Assignee: Dreambox Learning, Inc.
• Inventors: Green, Nigel J., Weary, Mickelle
• Application Number:
  US12/895,737
• Publication Number:
  US 20110076654A1
• Time in Patent Office: Days
• US Class Current: 434/169
• CPC Class Codes: G09B 17/003 electrically operated apparatus or devices
• CPC Class Codes: G09B 7/04 characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question, supplying a further explanation

Abstract

Systems and methods for generating reading recommendation are disclosed. In one example embodiment a reading material is sent as e-content to a reading device. An evaluation process is executed to evaluate a reader'"'"'s reading ability based on the reading material. The evaluation process may take as first input data collected from the reading device. A recommendation process is executed to identify a reading recommendation for the reader based on the reader'"'"'s reading ability and the reading recommendation is provided to the reader.

Claims

1. A method, comprising:

sending reading material as e-content to a reading device;

executing an evaluation process to evaluate a reader'"'"'s reading ability based on the reading material, wherein the evaluation process takes as first input data collected from the reading device; and

executing a recommendation process to identify a reading recommendation for the reader based on the reader'"'"'s reading ability; and

providing the reading recommendation to the reader.

2. The method of claim 1, wherein the first input comprises metrics collected as the reader reads the reading material.

3. The method of claim 2, wherein metrics comprises information about dictionary look-ups the reader performed while reading.

4. The method of claim 2, wherein the metrics comprises the reader inputs to tests administered by the reading device and designed to test reading ability.

5. The method of claim 2, wherein the metrics comprise data indicative of at least one the reader'"'"'s phonemic awareness, vocabulary, reading comprehension, and reading level.

6. The method of claim 1, wherein the evaluation process takes as second input an indication of the reader'"'"'s reading ability by a third party.

7. The method of claim 1, wherein the reading recommendation comprises lists selected from the group consisting of reading for enjoyment, reading for pleasure, reading for personal development, reading for education and reading for buy now for later.

8. The method of claim 1, wherein the recommendation process takes the reader inputs into account.

9. The method of claim 8, wherein the reader inputs comprise at least one of inputs indicative of reading interests and reading level.

10. The method of claim 9, wherein the reading level is specified in terms of job titles.

11. A system for generating a reading recommendation comprising:

a processor; and

a memory operatively coupled to the processor, wherein the memory includes a reading recommendation generating module for generating a reading recommendation, having instructions capable of;

sending reading material as e-content to a reading device;

executing an evaluation process to evaluate a reader'"'"'s reading ability based on the reading material, wherein the evaluation process takes as first input data collected from the reading device;

executing a recommendation process to identify a reading recommendation for the reader based on the reader'"'"'s reading ability; and

providing the reading recommendation to the reader.

12. The system of claim 11, wherein the first input comprises metrics collected as the reader reads the reading material.

13. The system of claim 12, wherein metrics comprises information about dictionary look-ups the reader performed while reading.

14. The system of claim 12, wherein the metrics comprises the readers inputs to tests administered by the reading device and designed to test reading ability.

15. The system of claim 12, wherein the metrics comprise data indicative of at least one the reader'"'"'s phonemic awareness, vocabulary, reading comprehension, and reading level.

16. A non-transitory computer-readable storage medium for generating a reading recommendation, having instructions that, when executed by a computing device, causes the computing device to perform a method comprising:

sending reading material as e-content to a reading device;

executing an evaluation process to evaluate a reader'"'"'s reading ability based on the reading material, wherein the evaluation process takes as first input data collected from the reading device;

executing a recommendation process to identify a reading recommendation for the reader based on the reader'"'"'s reading ability; and

providing the reading recommendation to the reader.

17. The computer program product of claim 16, wherein the first input comprises metrics collected as the reader reads the reading material.

18. The computer program product of claim 17, wherein metrics comprises information about dictionary look-ups the reader performed while reading.

19. The computer program product of claim 17, wherein the metrics comprises the reader'"'"'s inputs to tests administered by the reading device and designed to test reading ability.

20. The computer program product of claim 17, wherein the metrics comprise data indicative of at least one the reader'"'"'s phonemic awareness, vocabulary, reading comprehension, and reading level.