Ropa Denga, RPI Graduate Student

Ropa Denga, RPI Graduate Student

Dynamic tasks, such as driving, present a situation in which a series of decisions have to be made interdependently in response to a constantly changing environment in which to carry out the task. Different tutoring strategies have been implemented to train users to perform optimally in these task environments. The design of a training program allows the user to transfer skills, retain them immediately after training and over time. A good strategy engages the user so that the user can form a conceptual framework for the task that they can then execute in the real-world environment. The classic Tetris game provides a simple dynamic task environment which can be a testbed for implementing a part-task training method by decomposing the game based on its task components. The aim of the present experimental study is to address the issue of whether a simple Tetris task can be learned efficiently by using the basic tenets of part-whole learning and task components analysis.

 

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