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dc.contributor.advisorDay, Eric
dc.contributor.authorHardy, Jay, III
dc.date.accessioned2015-05-13T13:22:40Z
dc.date.available2015-05-13T13:22:40Z
dc.date.issued2015-05
dc.identifier.urihttps://hdl.handle.net/11244/14613
dc.description.abstractSelf-regulation is central to many modern theories of training and development, including active-learning theory. However, research in this area often overlooks the role of behavior in self-regulated learning and fails to account for dynamics in the learning process. Using a laboratory study designed to address these limitations, I found that behavioral self-regulation (i.e., exploratory behavior) positively predicted learning and performance outcomes beyond the effects of cognitive and motivational self-regulatory processes (i.e., metacognition and self-efficacy). However, contrary to my predictions, exploration-encouragement instructions did not significantly influence learner exploratory behavior. Regarding self-regulation-performance relationships, I found that the exploration-performance, metacognition-performance, and self-efficacy-performance relationships were all reciprocal in nature. Specifically, lagged exploratory behavior and lagged metacognition were positively related to performance, whereas lagged self-efficacy was negatively related to performance. Performance-to-self-regulation feedback effects were found as well, such that lagged performance was positively related to self-efficacy and metacognition, but was negatively related to exploratory behavior. The interrelationships among behavioral and cognitive/motivational self-regulatory processes were also reciprocal. Specifically, lagged exploratory behavior was positively related to subsequent self-efficacy and metacognition, but lagged self-efficacy and metacognition were negatively related to exploration. Collectively, these findings (a) make a case for including behavioral constructs in models of self-regulated learning and (b) demonstrate that within-person interrelationships among self-regulated learning processes and performance are dynamic, and are often more complex than was previously thought. Results are discussed regarding implications for theory, research, and practice in active learning.en_US
dc.languageen_USen_US
dc.subjecttraining and development, exploration, self-regulationen_US
dc.titleDISENTANGLING SELF-REGULATION AND PERFORMANCE IN ACTIVE LEARNING: TOWARD A DYNAMIC PROCESS PERSPECTIVE ON COMPLEX SKILL ACQUISITIONen_US
dc.contributor.committeeMemberConnelly, Shane
dc.contributor.committeeMemberSong, Hairong
dc.contributor.committeeMemberTerry, Robert
dc.contributor.committeeMemberBuckley, Michael
dc.date.manuscript2015
dc.thesis.degreePh.D.en_US
ou.groupCollege of Arts and Sciences::Department of Psychologyen_US
shareok.nativefileaccessrestricteden_US


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