BRAIN BASED LEARNING METHOD

• US 20140205986A1
• Filed: 01/21/2013
• Published: 07/24/2014
• Est. Priority Date: 01/21/2013
• Status: Abandoned Application

• Current Assignee: Srinivasan Pillay
• Original Assignee: Srinivasan Pillay
• Inventors: Pillay, Srinivasan
• Application Number:
  US13/746,238
• Publication Number:
  US 20140205986A1
• Time in Patent Office: Days
• US Class Current: 434/335
• 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 brain research-based learning method is provided. The learning method begins by a user viewing a presentation that provides a quantity of information to the user. During the viewing, the user may answer a plurality of periodic prompts on a computer relating to the presentation. After the presentation, the user may answer a series of questions on a computer. Later, at periodic intervals after the presentation the user is provided a second series of questions to reinforce the learned information. In the event of an incorrectly answered question, the computer may provide an alert. Further, after the presentation, a long term memory storage activity may be performed by the user using a computer. Finally the learning progress of the user may be provided using the at least one computer.

Claims

1. A brain-based learning method comprising the steps of:

providing a presentation to a user, the presentation providing a quantity of learned information to the user;

directing the user to answer a plurality of periodic prompts using at least one computer during the viewing of the presentation, the prompts comprising a question related to the presentation;

providing a series of questions on the at least one computer for the user to answer after the completion of the presentation;

recording answers to the series of questions provided by the user;

providing a second series of questions on the at least one computer at periodic intervals after the presentation;

recording answers to the second series of questions provided by the user, wherein the system provides an alert in the event of an incorrectly answered question of the second series of questions;

directing the user to perform a long term memory storage activity using the at least one computer after the presentation, the long term memory storage activity being performed on the at least one computer; and

determining a learning progress of the user from the presentation using the at least one computer.

2. The learning method of claim 1 wherein the step of directing the user to perform a long term memory storage activity comprises the step of instructing the user to fill out a form and receiving the completed form.

3. The learning method of claim 1 wherein the step of directing the user to perform a long term memory storage activity comprises the step of using a computer for instructing the user to memorize a mnemonic phrase.

4. The learning method of claim 1 wherein the step of providing a second series of questions comprises:

receiving a plurality of email prompts, one of the plurality of email prompts being provided to the user daily using the at least one computer for one week after the presentation;

receiving answers to the plurality of email prompts using the at least one computer;

providing a second plurality of email prompts, one of the second plurality of email prompts being provided to the user monthly using the at least one computer for six months after the presentation; and

receiving answers to the second plurality of email prompts using the at least one computer.

5. The learning method of claim 1 further comprising the step of using the at least one computer to provide the user with access to an online learning community.

6. The learning method of claim 5 further comprising the step of instructing the user to provide a feedback to the online learning community using the at least one computer.

7. The learning method of claim 1 wherein the step of directing the user to perform a long term memory storage activity further comprises activating a user'"'"'s favorite music using the at least one computer.

8. The learning method of claim 1 wherein the step of determining a learning progress of the user comprises the steps of:

determining a baseline metric to be tracked over the course of a training program, the baseline metric being determined before a beginning of the training, wherein the step of determining the baseline metric comprises analyzing a quantity of survey data, and analyzing a quantity of recorded productivity data;

selecting, using at least one computer, a plurality of appropriate training modules for presentation to the user based on the determined baseline metric, the appropriate training modules being graded by the at least one computer with a relevance grade;

determining an updated metric after the plurality of appropriate presentations have been presented to the user using the at least one computer; and

graphing the baseline metric and the updated metric on a graph using the at least one computer.

9. The learning method of claim 8 further comprising the steps of determining a plurality of baseline metric to be tracked over the course of a training program;

determining a plurality of updated metrics after the plurality of appropriate training modules have been presented to the trainee using the at least one computer; and

graphing the plurality of baseline metrics and the plurality of updated metrics on a single graph using the at least one computer.

10. The learning method of claim 8 further comprising the step of assigning a numerical learning requirement to the user, wherein the at least one computer tracks a status of the user'"'"'s learning requirement after each of the plurality of training module presentations.

11. The learning method of claim 8 wherein the metric is a profit metric representative of organizations cash flow.

12. The learning system of claim 8 wherein the metric is a state of mind metric representative of organizational employee state of mind.

13. The learning method of claim 8 wherein the metric is a behavior metric representative of organizational employee productive behavior.

14. The learning method of claim 8 wherein the metric is an organizational/structural metric representative of optimal organizational structure.