Accenture Global Services Gmbh

Alexander Zorba

Mark Stewart Nichols

Eren Tolga Rosenfeld

Martha Torrey O'Connor

Alexander Han Leung Poon

Beth Elyse Zadik

Eric Jeffrey Lannert

Jonathan Christian Conant

John Reader Hubbell

Timothy John Gobran

James Andrew Gilchrist

Ekpedeme Mfon Bassey

Brandon Denning Fleisher

Craig William Friedman

Adebisi Detoro Lipede

Matthew Allen Bailey

Tracey Andrea Solomon

Carl Michael Puccio

Maeve Lucas

Rohini S Rajagopal

Kieron J Champion

Shobha Belakerappa

Nancy J Cooper

Christina S Wolf

A system is described for providing an interactive career management tool. The system may include a memory, an interface, and a processor. The memory may store job levels and career option descriptions associated with business function and job identifiers. Each job level may be associated with experience and expectation descriptions. The processor may receive a business function and job identifier and may retrieve the associated career option descriptions and job levels along with the experience and expectation descriptions associated with each job level. The processor may transform the job levels, experience descriptions, and expectation descriptions into a table. The processor may transform the career option descriptions into an interactive display which includes several shapes. Each career option may be displayed when the user selects a shape associated with the career option description. The processor may provide the table and the interactive display to a device of the user.

System for providing an interactive career management tool

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.

Goal based system utilizing a table based architecture

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. Multiple 'correct' answers are integrated into the learning system to allow individualized learning experiences in which navigation through the system is at a pace controlled by the learner. 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. A dynamic feedback system is utilized that narrowly tailors feedback and focuses it based on the performance and characteristics of the student to assist the student in reaching a predefined goal.

Simulation enabled focused feedback tutorial system

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Middletown, NJ, United States of America

Alexander Zorba