Method and apparatus for automated learning tool selection for child development

• US 5,122,952 A
• Filed: 10/22/1990
• Issued: 06/16/1992
• Est. Priority Date: 10/22/1990
• Status: Expired due to Term

• Current Assignee: Leslie S. Minkus
• Original Assignee: Leslie S. Minkus
• Inventors: Minkus, Leslie S.
• Primary Examiner(s): Shaw, Dale M.
• Assistant Examiner(s): CHUNG TRANS, XUONG MY
• Application Number:
  US07/602,110
• Time in Patent Office: 603 Days
• Field of Search: 364/419, 364/401, 364/403, 364/413.01, 434/335, 434/316, 434/322, 434/353, 434/354, 434/355, 434/236
• US Class Current: 705/7.38
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• 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

Computer-assisted methods and apparatus for selecting and matching learning tools that possess developmental value with the individual characteristics of a child are disclosed. Commercially available products consisting of toys, games, books, and allied learning materials are analyzed and the data relating to the personal traits required to use the product, educational value of the product, learning value of the product, instructional variables required to use the product, and the description of the product is entered into and stored in a computer system. Information concerning a child'"'"'s sensory learning style preferences, hobbies and interests, academic conditions, medical conditions, social habits, emotional attitudes, and nutritional habits is entered into the computer system. The system compiles the child data into a report. The system also matches the child data with the product data and a list of preferred products is produced from which parents select appropriate learning tools for the child.

Claims

1. An automated selection system for selecting and matching learning tools that possess developmental values with the individual characteristics of a user that have correspondence to such values comprising:

data entry means for entering user data including user static personal data and dynamic user developmental conditions;

learning tool list means for storing learning tool characterizing data;

means coupled to the data entry means and the learning tool list means for generating a preferred learning tool list by matching the user data to corresponding learning tool characterizing data.

2. The automated system of claim 1 further comprising storage means for storing user data.

3. The automated system of claim 2 wherein the data entry means further comprises means for updating user data.

4. The automated system of claim 2 wherein the storage means for storing user data comprises vital information profile list means for storing the user static personal data as vital information profile data and preference survey model list means for storing dynamic user data as preference survey model data.

5. The automated system of claim 4 wherein the data entry means further comprises means for updating user static personal data, and means for updating dynamic user developmental data.

6. The automated system of claim 4 wherein the vital information profile data comprises age, past developmental history, and static traits of the user;

and

the preference survey model data comprises cognitive, social, emotional, and physical developmental characteristics of the user.

7. The automated system of claim 1 wherein the data entry means further comprises means for entering learning tool characterizing data.

8. The automated system of claim 1 wherein the data entry means further comprises means for updating learning tool characterizing data.

9. The automated system of claim 1 wherein the learning tool characterizing data comprises cognitive, educational, social, emotional, entertainment, and play values.

10. The automated system of claim 1 further comprising means for identifying each preferred learning tool as one of a positive reinforcing tool, a negative reinforcing tool and a recreational tool.

11. The automated system of claim 1 wherein the means for generating a preferred learning tool list by matching further comprises means for performing a plurality of matching sequences in which selected user data is compared to selected learning tool characterizing data and wherein each one of the plurality of sequences generates product selections based upon different selected user data.

12. The automated system of claim 11 wherein the plurality of sequences comprises a sequence for matching user age equivalency, sex and ethnic background data to age equivalency, sex and ethnic background learning tool data to select learning tools which match on the basis of age equivalency, sex and ethnic background.

13. The automated system of claim 12 wherein the plurality of sequence further comprise a sequence for matching user educational value data to learning tool educational value data, a sequence for matching user learning and physical value data to learning tool learning and physical value data, and a sequence for matching user play and entertainment value data to learning tool play and entertainment value data.

14. A method for automated matching of learning tools that possess developmental values with the individual characteristics of a user that have correspondence to such values comprising the steps of:

entering user data including user static personal data and dynamic user developmental data;

storing learning tool characterizing data;

matching the user data to corresponding learning tool data; and

generating a preferred learning tool list responsive to the matching of user data to corresponding learning tool characterizing data.

15. The method of claim 14 wherein the step of entering further comprises entering and updating learning tool characterizing data.

16. The method of claim 14 further comprising the step of storing the user data.

17. The method of claim 14 wherein the step of matching further comprises the step of matching user age equivlency, sex, and ethnic background data to age equivalency, sex, and ethnic background learning tool data to generate preliminary selected learning tools.

18. The method of claim 17 wherein the step of matching further comprises the step of matching user educational value data to learning tool educational data of the preliminary selected learning tools, matching user learning and physical value data to learning tool learning and physical value data of the preliminary selected learning tools, and matching user play and entertainment value data to learning tool play and entertainment value data for the preliminary selected learning tools.

19. A computerized system for matching learning tools that possess developmental value for children with characteristics of a child, comprising:

data entry means for entering child user data including user static personal data and dynamic user developmental data for the child;

learning tool list means for storing learning tool characterizing data;

matching means for matching the child user data to corresponding learning tool data;

means for generating a preferred learning tool list for the child responsive to the matching.

20. The computerized system of claim 19 wherein the matching means further comprises means for performing a plurality of matching sequences wherein selected child user data is compared to selected learning tool data.