Block chain method and system for securing user data from an on-line course

1. A method for operating a meta system for processing sensor inputs and providing feedback to a user for an on-line course, to configure the online course, and to distribute the on line course on a block chain, the method comprising:

in the meta system comprising:

an apparatus comprising:

a housing configured with a display device, the display device coupled to an input device for communicating text information from the user;

a processing device;

a network interface coupled to the processing device, the network interface being configured to couple to a world wide network of computers or a local network of computers;

a memory resource coupled to the processing device;

an application comprising a course module, the course module comprising a plurality of templates and at least one video file;

an image capturing device coupled to the housing and configured to the processing device, the image capturing device being configured to capture an image of at least a facial expression in a first format of the user while interacting with the course module;

a plurality of sensors for identifying a spatial orientation of the user while interacting with the course module;

a natural language processor configured for processing information from the text information while the user is interacting with the course module;

an artificial intelligence module coupled to the processing device, the artificial intelligence module comprising a neural network module comprising a plurality of nodes, the plurality of nodes being numbered from 1-N, where N is an integer greater than 10 and less than 10,000,000, the plurality of nodes being coupled to respective sensors, image capturing device, natural language processor, or other information receiving devices, and an output;

an output handler coupled to the output of the neural network module, the output handler configured to provide the feedback to the user and configure the on line course; and

a block chain provided on a public ledger, the block chain include information associated with the user and the on line course;

using the meta system to process information associated with the user and the on line course on the block chain.

2. The method of claim 1 wherein the feedback comprises a plurality of characteristics to allow the user to achieve a predetermined score within a range for the course; wherein the on line course comprises a personally designed course based upon the feedback to the user.

3. The method of claim 1 wherein the natural language processor is configured to process the text information to identify a characteristic of the user in association with the course.

4. The method of claim 1 wherein the plurality of nodes comprises at least 1 million nodes; and wherein the plurality of sensors comprises a camera, a keyboard, an accelerometer sensor, an rf sensor, a gyroscope, a chemical sensor, a temperature sensor, a microphone, or other input device.

5. The method of claim 1 wherein the course is related to science, math, English, history, psychology, engineering, business, finance, accounting, or any other college course subject.

6. The method of claim 1 further comprising a wearable device comprising a set of sensors to characterize movement, orientation, temperature, heart rate, breathing rate, oxygen, and other parameters of the user while interacting with the course, the wearable device being coupled to an input of the artificial intelligence module.

7. The method of claim 1 wherein the housing is shock proof.

8. The method of claim 1 wherein the neural network module is configured to receive information from the image capturing device and output a learning characteristic of the user.

9. The method of claim 1 wherein the neural network module is configured to receive information associated with a facial expression and an eye response from the image capturing device and output a learning characteristic of the user.

10. The method of claim 1 further comprising a location sensor configured to transferring a spatial location information and a time information to the artificial intelligence module.