Goal based system utilizing a table based architecture

• US 8,429,112 B2
• Filed: 11/20/2008
• Issued: 04/23/2013
• Est. Priority Date: 12/22/1998
• Status: Expired due to Fees

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services Limited (Accenture PLC)
• Inventors: Rosenfeld, Eren Tolga, Bassey, Ekpedeme Mfon, Zadik, Beth Elyse, O'Connor, Martha Torrey, Poon, Alexander Han Leung, Lannert, Eric Jeffrey, Solomon, Tracey Andrea, Conant, Jonathan Christian, Puccio, Carl Michael, Gobran, Timothy John, Gilchrist, James Andrew, Nichols, Mark Stewart, Fleisher, Brandon Denning, Friedman, Craig William, Lipede, Adebisi Detoro, Bailey, Matthew Allen, Zorba, Alexander
• Primary Examiner(s): Gaffin, Jeffrey A
• Assistant Examiner(s): BUSS, BENJAMIN J
• Application Number:
  US12/274,943
• Publication Number:
  US 20090142736A1
• Time in Patent Office: 1,615 Days
• Field of Search: 706/11, 706 45- 47, 706/927, 706/934, 434/118, 434/219, 434/322, 434/323, 434/327, 434/350, 434/362
• US Class Current: 706/46
• CPC Class Codes: G09B 7/04 characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question, supplying a further explanation

Abstract

A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a business opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. The system utilizes an artificial intelligence engine driving individualized and dynamic feedback with synchronized video and graphics used to simulate real-world environment and interactions. A robust business model provides support for realistic activities and allows a user to experience real world consequences for their actions and decisions and entails realtime decision-making and synthesis of the educational material. The system is architectured around a table of components to manage and control the system.

Claims

1. A computer-readable storage medium storing computer-executable instructions that, when executed, cause a processor to perform a method comprising:

receiving data indicative of a training objective of a student;

integrating information in a presentation based on the training objective;

managing information flow utilizing a table of components to provide a simulation during the presentation, the table of components comprising;

a domain component modeling a state of the simulation, the domain component further facilitating communication of context data across other components of the table of components;

a profiling component providing a rule-based evaluation of the state of the simulation, the profiling component further analyzing a student pre-test to determine a learning need of the student;

a transformation component manipulating the state of the simulation, the transformation component is further a shell to a data modeling component and the transformation component facilitating transfer of data from a domain to the data modeling component to perform a calculation on the data and the transformation component facilitating transfer of a result from the data modeling component to the domain for further analysis by the profiling component, the data modeling component comprises spreadsheet-based modeling; and

a remediation component delivering feedback to the student, the feedback is based on profiling information from the profiling component.

2. The computer-readable medium of claim 1, wherein the data modeling component comprises discrete time-based simulation modeling.

3. The computer-readable medium of claim 1, said method further comprising:

instantiating a component from the table of components to analyze progress and determine appropriate feedback.

4. The computer-readable medium of claim 1, said method further comprising:

instantiating a component from the table of components to evaluate options and present appropriate feedback to assist the student in the training objective.

5. The computer-readable medium of claim 1, said method further comprising:

instantiating a component from the table of components to simulate a business application.

6. The computer-readable medium of claim 1, said method further comprising:

instantiating a component from the table of components to interact with a quantitative analysis model to perform what-if-analysis.

7. The computer-readable medium of claim 1, said method further comprising:

instantiating a component from the table of components to interact with the student utilizing rule-based logic.

8. The computer-readable medium of claim 1, said method further comprising:

instantiating a component from the table of components to present a time-based simulation.

9. An apparatus comprising:

a memory; and

a processor configured to retrieve instructions from the memory and to perform;

receiving data indicative of a training objective of a student;

integrating information in a presentation based on the training objective;

utilizing a table of components to provide a simulation during the presentation, the table of components comprising;

a domain component modeling a state of the simulation, the domain component further facilitating communication of context data across other components of the table of components;

a profiling component providing a rule-based evaluation of the state of the simulation, the profiling component further analyzing a student pre-test to determine a learning need of the student;

a transformation component manipulating the state of the simulation, the transformation component is further a shell to a data modeling component and the transformation component facilitating transfer of data from a domain to the data modeling component to perform a calculation on the data and the transformation component facilitating transfer of a result from the data modeling component to the domain for further analysis by the profiling component, the data modeling component comprises spreadsheet-based modeling; and

a remediation component delivering feedback to the student, the feedback is based on profiling information from the profiling component.

10. The apparatus of claim 9, wherein the processor is further configured to:

instantiate a component from the table of components to measure progress toward the training objective.

11. The apparatus of claim 9, wherein the processor is further configured to:

instantiate a component from the table of components to interrupt and interview the student to obtain information to measure progress toward the training objective and determine appropriate feedback.

12. The apparatus of claim 9, wherein the data modeling component comprises discrete time-based simulation modeling.

13. The apparatus of claim 9, wherein the processor is further configured to:

instantiate a component from the table of components to simulate a business application.

14. The apparatus of claim 9, wherein the processor is further configured to:

instantiate a component from the table of components to interact with a quantitative analysis model to perform what-if-analysis.

15. The apparatus of claim 9, wherein the processor is further configured to:

instantiate a component from the table of components to interact with the student utilizing rule-based logic.

16. The apparatus of claim 9, wherein the processor is further configured to:

instantiate a component from the table of components to present a time-based simulation.