Method and system for automated learning through repetition

• US 7,984,003 B2
• Filed: 07/18/2007
• Issued: 07/19/2011
• Est. Priority Date: 07/21/2006
• Status: Expired due to Fees

• Current Assignee: Nathaniel Williams
• Original Assignee: Nathaniel Williams
• Inventors: Williams, Nathaniel
• Primary Examiner(s): VINCENT, DAVID ROBERT
• Application Number:
  US11/879,555
• Publication Number:
  US 20080021852A1
• Time in Patent Office: 1,462 Days
• Field of Search: 706/45, 706/62, 434/322, 434/327, 434/335
• US Class Current: 706/45
• CPC Class Codes: G09B 5/00 Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F
• CPC Class Codes: G09B 7/00 Electrically-operated teaching apparatus or devices working with questions and answers mechanically operated G09B3/00; computing arrangements G06F

Abstract

A method and system for automated learning through repetition. The method and system may improve automated learning of information studied for religious, academic purposes or pleasure by presenting pre-determined patterns selected specifically based on a belief system for a learner for an optimal learning for of N-pieces of electronic information (e.g., audio tracks, etc.).

Claims

1. A method for learning retention through repetition, comprising:

receiving a selection input for a value for a non-zero number N for repeating a set of electronic information with N items stored in a computer readable medium on a network device with one or more processors connected to a communications network, wherein the value of the number N has a pre-determined personal significance to a learner;

receiving selection inputs on the network device for three additional numbers, X, Y and Z such that X+Y+Z=N and X+Y+Z=N represents a pre-determined pattern for presenting the set of electronic information with the pre-determined personal significance;

receiving a selection input on the network device for a type of belief system;

creating an optimal learning pattern for the received numbers and the pre-determined pattern in the received type of belief system for the learner in the computer readable medium on the network device, wherein the optimal learning pattern is created using the received numbers in the received type of belief system and allows the electronic information to be optimally stored and recalled from both a short term memory (STM) and a long term memory (LTM) of the learner when presented to the learner from the network device;

presenting using the set of electronic information with N items (X) times as an audio output, a video output or electronic text output on the network device as a first portion of the created optimal learning pattern;

presenting the set of electronic information with N items (Y+X) times as the audio, video or electronic text output on the network device as a second portion of the created optimal learning pattern, wherein presenting the set of electronic information (Y+X) times includes a creating first repetitive pattern that helps save the set of electronic information with N items in the STM in the human brain of the learner and develops a first portion of a brain schema for transferring the set of electronic information to the LTM of the human brain of the learner when presented to the learner from the network device; and

presenting the set of electronic information with N items (Z+Y+X) times as the audio, video or electronic text output on the network device as a third portion of the created optimal learning pattern, wherein the N-pieces of information presented (Z+Y+X) times completes presentation of the created optimal learning pattern for the N-pieces of electronic information and develops a second portion of the brain schema for transferring the set of electronic information stored in STM to LTM of the human brain of the learner thereby aiding learning, retention and recall of the set of electronic information by the learner when presented to the learner from the network device.

2. The method of claim 1 further comprising a computer readable medium having stored therein instructions for causing one or more processors to execute the steps of the method.

3. The method of claim 1 wherein the value of the number N and X+Y+Z=N includes a religious significance for the learner.

4. The method of claim 1 wherein the value of number N and X+Y+Z=N includes a psychological significance for the learner.

5. The method of claim 4 wherein the value of the number N is selected to increase short term and long term retention of electronic information in the brain of the learner.

6. The method of claim 1 wherein the value of the number N and the three additional numbers, X, Y and Z such that X+Y+Z=N are selected for a Christian belief system to repetitively learn verses from the Bible.

7. The method of claim 1 wherein the electronic information includes audio information, video information or electronic textual information obtained from a database associated with the network device.

8. The method of claim 1 wherein the electronic information is presented on a stand alone non-networked device disconnected from the communications network.

9. The method of claim 1 wherein the electronic information is presented on the network device in communications with a wireless 802.11a, 802.11b, 802.11g, 802.11n, Wireless Fidelity (Wi-Fi), or Worldwide Interoperability for Microwave Access (WiMAX) communication network.

10. The method of claim 1 wherein values of N, and X+Y+Z=N are dynamically altered on the network device to allow others sets of electronic information to be dynamically selected and presented the learner.

11. The method of claim 1 values of N, and X+Y+Z=N are dynamically altered on the network device and used as seed numbers to a random number generator to allow others sets of electronic information to be dynamically and randomly selected and presented the learner.

12. A learning retention through repetition system, comprising in combination:

means for receiving a selection input for a value for a non-zero number N for repeating a set of electronic information with N items stored in a computer readable medium on a network device with one or more processors connected to a communications network, wherein the value of the number N has a pre-determined personal significance to a learner and for receiving selection inputs for three additional numbers, X, Y and Z such that X+Y+Z=N and X+Y+Z=N represents a pre-determined pattern for presenting the set of electronic information with the pre-determined personal significance and for receiving a selection input on the network device for a type of belief system;

means for creating an optimal learning pattern for the received numbers and the pre-determined pattern in the received type of belief system for the learner in the computer readable medium on the network device, wherein the optimal learning pattern is created using the received numbers in the received type of belief system and allows the electronic information to be optimally stored and recalled from both a short term memory (STM) and a long term memory (LTM) of the learner when presented to the learner; and

means for presenting as an audio output, video output or electronic text output on the network device the set of electronic information with N items (X) times as a first portion of the created optimal learning pattern, for presenting the set of electronic information with N items (Y+X) times as a first portion of the created optimal learning pattern wherein presenting the set of electronic information (Y+X) times includes a first repetitive pattern that helps save the set of electronic information with N items in a short term memory (STM) in a human brain of the learner and develops a first portion of a brain schema for transferring the set of electronic information to a long term memory (LTM) of the human brain of the learner when presented to the learner from the network device, and for presenting the set of electronic information (Z+Y+X) times as a third portion of the created optimal learning pattern, wherein the N-pieces of information presented (Z+Y+X) times completes presentation of the created optimal learning pattern for the N-pieces of electronic information and develops a second portion of the brain schema for transferring the set of electronic information stored in STM to LTM of the human brain of the learner thereby aiding learning, retention and recall of the set of electronic information by the learner when presented to the learner from the network device.

13. The system of claim 12 wherein the electronic information includes audio information, video information or electronic textual information obtained from a database associated with the network device via a wireless communications network.

14. The system of claim 12 wherein the electronic information is presented on a stand alone non-networked device disconnected from the communications network.

15. The system of claim 12 wherein the electronic information is presented on a network device in communications with a wireless 802.11a, 802.11b, 802.11g, 802.11n, Wireless Fidelity (Wi-Fi), or Worldwide Interoperability for Microwave Access (WiMAX) communication network.

16. The system of claim 12 wherein the value of the number N and the three additional numbers, X, Y and Z such that X+Y+Z=N are selected for a Christian belief system to repetitively learn verses from the Bible.

17. The system of claim 12 further comprising a means for presenting includes dynamically presenting electronic information obtained from a database via the communications network.

18. The system of claim 12 further comprising a means for presenting includes presenting electronic information obtained from non-volatile stored on the network device or the stand along non-networked device disconnected from the communications network.

19. The system of claim 12 further comprising a means for selecting dynamically and randomly selecting different sets of electronic information for a database via a communications network.

20. The system of claim 12 wherein the optimal learning pattern is determined by changes in the human brain with scientific experiments on the human brain including Magnetic Resonance Imaging (MRI).