Method for activity-based learning with optimized delivery

1. A system for treating a cognitive disability, the system comprising:

a memory;

a processor, the processor configured to:

receive a designated activity;

generate a pre-assessment profile for a learner based on a cognitive disability of the learner and based on the designated activity;

generate a plurality of activity steps for the learner to perform the designated activity;

identify a media type for each activity step of the plurality of activity steps based on the pre-assessment profile;

select one or more output devices to output the plurality of activity steps, the one or more output devices each selected for each activity step based on the pre-assessment profile, based on the media type and based on available resources to output each activity step of the plurality of activity steps;

digitally provide the plurality of activity steps to the learner based on the media type for each activity step, via the selected one or more output devices for each activity step, wherein only the media type for each of the activity steps is provided to reduce resource allocation;

receive feedback information based on a performance of the plurality of activity steps by the learner;

assess an ability of the learner to perform the designated activity, based on the feedback information; and

assign at least one of a mastery designation or a fluency designation based on the assessment.

2. The system of claim 1 , wherein the processor is configured to generate the pre-assessment profile based on evaluating learner provided responses to one or more prompts.

3. The system of claim 2 , wherein the media type varies for each activity step.

4. The system of claim 1 , wherein the feedback information is generated based on an assessment and wherein a time to conduct the assessment is determined based on at least one of the pre-assessment profile or a personal profile.

5. The system of claim 1 , wherein the plurality of activity steps comprise a sequential order and providing the plurality of activity steps comprises providing the plurality of activity steps in the sequential order.

6. The system of claim 1 , wherein the media type has a media type graded value based on an amount of information.

7. The system of claim 6 , wherein the processor is further configured to implement treatment of a cognitive disability based on modifying one of the plurality of activity steps provided to the learner by at least one of changing the media type, deactivating an activity step, and removing the activity step.

8. The system of claim 6 , wherein changing the media type of a particular activity step comprises:

changing the media type of the particular activity step to an updated media type with a graded value that indicates a greater amount of information, if the feedback information indicates that the learner has not learned the particular activity step; and

changing the media type of the particular activity step to an updated media type with a graded value that indicates a lower amount of information, if the feedback information indicates that the learner has learned the particular activity step.

9. The system of claim 8 , wherein the processor is further configured to implement treatment of a cognitive disability based on assessing the ability to perform the designated activity comprises generating an analyzed graded value.

10. The system of claim 1 , wherein the processor is further configured to implement treatment of a cognitive disability based on identifying an activity step of the plurality of activity steps as a mastered step, based on the feedback information.

11. The system of claim 10 , wherein assessing the ability to perform the designated activity comprises at least one of calculating a change in a ratio of mastered steps to a number of the plurality of activity steps or generating an analyzed graded value.

12. The system of claim 10 , wherein the processor is further configured to implement treatment of a cognitive disability based on one of removing an activity step that is identified as a mastered activity step from the plurality of activity steps provided to the learner or re-inserting the removed activity step after removing the mastered activity step.

13. The system of claim 1 , wherein the feedback information is provided by at least one of a transceiver, a mobile device, a wearable device, a video camera, an audio recording device, or a photo camera.

14. The system of claim 1 , wherein the media type comprises one or more of video, image, audio, vibration, touch, hologram, virtual reality, augmented reality, or text.

15. The system of claim 1 , wherein the processor is further configured to implement treatment of a cognitive disability based on determining one or more optimal media type components, based on the feedback information, wherein the one or more optimal media type components enable the learner to learn faster than other media type components.

16. The system of claim 1 , wherein the processor is further configured to implement treatment of a cognitive disability based on receiving personal profile information from a personal profile wherein the personal profile information is used for one or more of receiving the designated activity, generating the pre-assessment profile, generating the plurality of activity steps, or identifying the media type and wherein the personal profile information is updated based on the feedback information.

17. The system of claim 1 , wherein digitally providing the plurality of activity steps to a learner further comprises providing video, audio, image, augmented reality, and/or virtual reality data to a user.

18. The system of claim 1 , wherein the feedback information based on the performance of the plurality of activity steps is further based on analyzing the performance via at least one of a machine learning analysis and a video analysis.