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Recursive Functional Learning In Nonfluent Aphasia, Gerald C. Imaezue

Dissertations, Theses, and Capstone Projects

People with nonfluent aphasia (PWNA) require feedback from an external agent as well self-feedback to facilitate performance of language production tasks. The extent to which PWNA can use self-feedback alone to improve their task performance is unknown. In addition, it is argued that self-feedback may reinforce or minimize performance errors over time. To test whether either is the case, we introduce an original learning mechanism, recursive functional learning, which uses self-feedback loops to optimize recursively multiple subsystems (cognitive and linguistic subsystems) that PWNA engage during task performance. We used this mechanism to underpin a novel automated procedure we developed, recursive …