OBSERVABLE DATA COLLECTION AND ANALYSIS

• US 20150302760A9
• Filed: 04/01/2014
• Published: 10/22/2015
• Est. Priority Date: 11/21/2005
• Status: Abandoned Application

• Current Assignee: George Mason Intellectual Properties, Inc.
• Original Assignee: George Mason Intellectual Properties, Inc.
• Inventors: WANG, Shuangbao, GRAFF, Heidi J., BEHRMANN, Michael M.
• Application Number:
  US14/242,360
• Publication Number:
  US 20140335491A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 50/20 Education
• CPC Class Codes: G09B 19/00 Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26
• CPC Class Codes: G09B 7/077 different stations being capable of presenting different questions simultaneously

Abstract

An observable behavior data collection and analysis system including at least two database collection modules and an analysis module. The database collection module(s) include a parameter storage module, an observable behavior data prompt module, an observable behavior data collection module, a collection phase assignment module, and a server storage module. An instructor observes a subject performing a prompted task and enters the observed data into one of the database collection modules. The data is stored on a server. The analysis module, which includes a filter module and an output generation module, reads the data from the server and generates interactive graphs that may be used by the instructor to treat the subject.

Claims

1. An observable behavior data collection and analysis system, comprising:

(a) at least two database collection modules, each of the at least two database collection modules including;

(i) a parameter storage module configured to store parameters that operationally describe an observable behavior for a task, the parameters including;

(1) a domain;

(2) a skill area; and

(3) a skill objective;

(ii) an observable behavior data prompt module configured to prompt for observable behavior data from a physical entity, the prompt for observable behavior data including;

(1) a prompt for physical behavior data;

(2) a prompt for verbal behavior data;

(3) a prompt for gestural behavior data; and

(4) a prompt for independent behavior data;

(iii) an observable behavior data collection module configured to collect observable behavior data on a mobile device, the observable behavior data including all of the following primary behavior data, the primary behavior data including;

(1) frequency learning;

(2) fluency learning;

(3) accuracy learning; and

(4) duration learning;

(iv) a collection phase assignment module configured to assign the collected observable behavior data to a collection phase, the collection phase being at least one of the following;

(1) a baseline phase;

(2) a treatment phase; and

(3) a maintenance phase; and

(v) a server storage module configured to store the collected observable behavior data on a server;

(b) an analysis module, the analysis module including;

(i) a filter module configured to apply at least one filter to the observable behavior data, the filter including at least one of the following;

(1) date;

(2) instructor;

(3) subject; and

(4) target; and

(ii) an output generation module configured to generate an output, the output including an interactive graph of the filtered observable behavior data, the interactive graph including at least one of the following;

(1) a line graph;

(2) a bar graph;

(3) a pie chart; and

(4) a semi-logarithmic graph; and

wherein the output is configured to be used by an instructor to treat a subject.

2. A system according to claim 1, wherein the data collection module and the analysis module are the same.

3. A system according to claim 1, wherein at least one of the at least two data collection modules is a mobile data collection module.

4. A system according to claim 1, wherein the prompt for observable behavior data from a physical entity further includes at least one of the following:

(i) a prompt for modeling data;

(ii) a prompt for modeling correct data;

(iii) a prompt for modeling incorrect data;

(iv) a prompt for at least one user generated data type;

(v) a prompt for modeling faded physical data;

(vi) a prompt for modeling faded verbal data; and

(vii) a prompt for modeling full physical data.

5. A system according to claim 1, wherein the observable behavior data includes:

(a) learning ability data; and

(b) performance data.

6. A system according to claim 1, wherein the observable behavior data includes secondary behavior characteristics.

7. A system according to claim 6, wherein the secondary behavior characteristics are collected with primary behavior data.

8. A system according to claim 1, wherein the collection of observable behavior data includes collecting anecdotal data.

9. A system according to claim 1, wherein at least one of the at least one filter is given a user specified name.

10. A system according to claim 1, wherein the output includes a report.

11. A system according to claim 1, wherein the secondary observable behavior data can be given a user specified name.

12. A system according to claim 1, wherein the collection phase is given a user specified name.

13. A system according to claim 1, wherein the observable behavior data is stored on a server in real-time.

14. A system according to claim 1, wherein the observable behavior data is stored on at least one of the at least two database collection modules and synchronized with the server at a later time.

15. A system according to claim 1, wherein the parameters further include at least one of the following:

(a) a task distractor;

(b) an task instruction;

(c) a target;

(d) a task material; and

(e) a task mastery criteria.

16. A method for collecting and analyzing observable behavior data, comprising:

(a) storing parameters that operationally describe an observable behavior for a task, the parameters including;

(i) a domain;

(ii) a skill area; and

(iii) a skill objective;

(b) prompting for observable behavior data from a physical entity, the prompt for observable behavior data including;

(i) a prompt for physical behavior data;

(ii) a prompt for verbal behavior data;

(iii) a prompt for gestural behavior data; and

(iv) a prompt for independent behavior data;

(c) collecting observable behavior data on a mobile device, the observable behavior data including all of the following primary behavior data, the primary behavior data including;

(i) frequency learning;

(ii) fluency learning;

(iii) accuracy learning; and

(iv) duration learning;

(d) assigning the collected observable behavior data to a collection phase, the collection phase being at least one of the following;

(i) a baseline phase;

(ii) a treatment phase; and

(iii) a maintenance phase; and

(e) storing the collected observable behavior data on a server;

(f) applying at least one filter to the observable behavior data, the filter including at least one of the following;

(i) date;

(ii) instructor;

(iii) subject; and

(iv) target; and

(g) generating an output, the output including an interactive graph of the filtered observable behavior data, the interactive graph including at least one of the following;

(i) a line graph;

(ii) a bar graph;

(iii) a pie chart; and

(iv) a semi-logarithmic graph; and

wherein the output is configured to be used by an instructor to treat a subject.

17. A system according to claim 16, wherein the prompt for observable behavior data from a physical entity further includes at least one of the following:

(i) a prompt for modeling data;

(ii) a prompt for modeling correct data;

(iii) a prompt for modeling incorrect data;

(iv) a prompt for at least one user generated data type;

(v) a prompt for modeling faded physical data;

(vi) a prompt for modeling faded verbal data; and

(vii) a prompt for modeling full physical data.

18. A system according to claim 16, wherein the observable behavior data includes:

(a) learning ability; and

(b) performance.

19. A system according to claim 16, wherein the observable behavior data includes secondary behavior characteristics.

20. A system according to claim 16, wherein the collection of observable behavior data includes collecting anecdotal data.

21. A system according to claim 16, wherein the parameters further include at least one of the following:

(a) a task distractor;

(b) an task instruction;

(c) a target;

(d) a task material; and

(e) a task mastery criteria.