Computer-aided education systems and methods

• US 7,395,027 B2
• Filed: 08/14/2003
• Issued: 07/01/2008
• Est. Priority Date: 08/15/2002
• Status: Active Grant

• Current Assignee: Chris W. Anderson, Thomas R. Seitz
• Original Assignee: Chris W. Anderson, Thomas R. Seitz
• Inventors: Anderson, Chris W., Seitz, Thomas R.
• Primary Examiner(s): Pezzuto; Robert E.
• Assistant Examiner(s): Rada; Alex F. R. P.
• Application Number:
  US10/640,385
• Publication Number:
  US 20040133532A1
• Time in Patent Office: 1,783 Days
• Field of Search: 434/350, 434/118, 434/362, 434/322, 434/323
• US Class Current: 434/350
• 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-aided education systems and methods provide a learner with a pedagogically appropriate interaction, including determining learner information. A state for the interaction is determined based on the determined learner information. A concept pattern is created based on the determined state. The appropriate interaction is then accessed based on the concept pattern and the determined state.

Claims

1. A method for presenting a learner with a pedagogically appropriate interaction using a data processing apparatus, the method comprising:

determining learner information, wherein learner information includes data identifying the learner and historic data of a past performance of the learner;

selecting a lesson related to a subject matter based on an input by the learner;

analyzing, by an agent engine adapted to execute program instructions, concept data of relationships between concepts and the historic data for underpinning concepts that support understanding of the subject matter of the selected lesson;

computing a slope value, based on the analysis, reflecting which of the underpinning concepts have been mastered by the learner;

determining a state for the interaction based on the slope value;

creating a concept pattern based on the determined state; and

accessing the appropriate interaction based on the concept pattern.

2. The method of claim 1, wherein the determined state is selected from one of a challenging, reinforcing, and reviewing state.

3. The method of claim 2, wherein the challenging state is invoked when the agent engine determines a positive trend of correctly answered questions based on the slope value and wherein the agent engine searches for a question based on concepts that are above a demonstrated level of ability of the learner.

4. The method of claim 2, wherein the reviewing state is invoked when the agent engine determines a negative trend of incorrectly answered questions based on the slope value and wherein the agent engine searches for a question that the learner previously viewed.

5. The method of claim 2, wherein the reinforcing state is invoked when the agent engine does not determine a positive or a negative trend and wherein the agent engine searches for a question at a level of ability demonstrated by the learner.

6. The method of claim 2, wherein the reviewing state is invoked when the agent engine determines a negative trend of incorrectly answered questions based on the slope value and wherein the agent engine searches for a question based on underpinning concepts that support understanding of the subject matter of the selected lesson and that are presumed to have been mastered by the learner.

7. The method of claim 1, wherein the concept pattern includes a list of concepts.

8. The method of claim 7, wherein the concept pattern further includes a level value associated with each concept in the list of concepts.

9. The method of claim 7, wherein the list of concepts further includes a link to concepts in a hierarchy of concepts.

10. The method of claim 1, wherein accessing the appropriate interaction further comprises accessing an external server to retrieve the appropriate interaction.

11. The method of claim 1, further comprising:

presenting an appropriate question to the learner;

evaluating an answer provided by the learner;

updating the slope value based on the evaluation of the answer; and

presenting a next question to the learner that is selected from a sequence of questions based on the updated slope value.

12. The method of claim 11, wherein evaluating the answer provided by the learner includes determining if the learner provided a correct answer, and wherein when the learner provided the correct answer, the agent engine causes a session player to display a correct movie outcome.

13. The method of claim 1, wherein the concept pattern includes a test level indicating a level at which the learner has successfully answered questions at an acceptable level of proficiency and a learn level indicating a level at which the learner has previously been presented lessons.

14. The method of claim 1, further comprising:

determining whether the learner has mastered the underpinning concepts that support understanding of the subject matter of the selected lesson.

15. A system for presenting a learner with a pedagogically appropriate interaction, the system comprising:

an output device for displaying the interaction to the learner;

an input device to allow the learner to interact with the system; and

a computer,

wherein the computer includes a processor and a memory, the memory including an intelligent computer-aided instructional (CAI) system and

wherein the intelligent CAI system further includes;

a session player for presenting the interaction to the output device;

a movie data component for storing media files to be used by the session player;

an agent engine for determining the appropriate interaction to be played by the session player and for determining movie data in the movie data component to be accessed by the session player, the agent engine further comprising;

program code for computing a slope value representing an analysis of concept data of relationships between concepts and historic data of the learner for underpinning concepts that support understanding of a subject matter of a lesson selected by the learner; and

program code for determining a state for the interaction based on the slope value; and

a concept matrix used by the agent engine to select the appropriate interaction based on the determined state.

16. The system of claim 15, wherein the intelligent CAI system further includes a report administrator for providing details about the interaction.

17. The system of claim 15, further comprising:

an external server connected to the system via an Internet connection for retrieving the appropriate interaction based on a network address specified by the concept matrix.

18. The system of claim 15, wherein the agent engine edits the media files to assemble a movie that is tailored to an ability level of the learner.

19. The system of claim 15, wherein the agent engine further comprises program code for determining whether the learner has mastered the underpinning concepts that support understanding of the subject matter of the selected lesson.

20. The system of claim 15, wherein the concept pattern includes a test level indicating a level at which the learner has successfully answered questions at an acceptable level of proficiency and a learn level indicating a level at which the learner has previously been presented lessons.

21. A method for presenting a learner with a pedagogically appropriate interaction, the method comprising:

determining learner information, wherein learner information includes data identifying the learner and historic data of a past performance of the learner;

analyzing, by an agent engine adapted to execute program instructions, concept data of relationships between concepts and the historic data for underpinning concepts that support understanding of the subject matter of the selected lesson; and

determining an interaction for the learner based on the analysis.