Type of Document	Master's Thesis
Author	Domangue, Thomas James
Author's Email Address	tdoman1@lsu.edu
URN	etd-1107102-140122
Title	The Effects of Implicit, Explicit, and Synergistic Training on Learning an Artificial Grammar
Degree	Master of Arts (M.A.)
Department	Psychology
Advisory Committee	Advisor Name Title Robert C. Mathews Committee Chair Jason Hicks Committee Member Katie Cherry Committee Member
Keywords	artificial grammar learning synergistic explicit implicit
Date of Defense	2002-08-07
Availability	unrestricted
Abstract Participants were trained to generate exemplars of an artificial grammar by bubbling-in letters from exemplars (implicit training), observing a diagram of the grammar then reproducing it (explicit training), or tracing the path of exemplars through a diagram of the grammar (synergistic training). Performance was measured using a cued-generate task. It provided a template for an exemplar with two letters filled in. Participants attempted to generate exemplars that fit the template. The computer corrected the exemplar when it matched at least 70% of the letters in a valid string. Results showed that both explicit and synergistic training led to generation of better quality exemplars (closer to 100% match). However, implicit and synergistic training led to generating more exemplars good enough (at least 70% match) to fit into a wide variety of contextual cues. The author concluded that for both quality and generativity of exemplars synergistic training seemed the most beneficial.
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