Post-Power Law of Practice: Comparing Static and Dynamical Models of Skill Acquisition

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dc.contributor.advisorByrne, Michael
dc.creatorWeeks, Charles Robert
dc.date.accessioned2024-05-22T15:51:42Z
dc.date.available2024-05-22T15:51:42Z
dc.date.created2024-05
dc.date.issued2024-04-19
dc.date.submittedMay 2024
dc.date.updated2024-05-22T15:51:42Z
dc.description.abstractTraditionally, the power law has been used to describe the trajectory of skill acquisition. Recent research has challenged this ``law,'' suggesting other models may better capture individual-level data. Furthermore, the motor learning and recovery literature suggests dynamical models might better capture non-monotonic behavior or the effect of feedback. This study compares the fits of six models on data from two mirror tracing experiments with different levels of haptic feedback. This includes two power models, the exponential model, a hybrid power and exponential model, and two dynamical models. This research replicated previous findings that the exponential model is better than the power models for individual-level data. The APEX and two dynamical models showed some advantage, but a fit metric penalizing extra parameters (BIC) called the extent of these advantages into question. These results are important as the models with better fits may better represent the cognitive processes involved in skill acquisition.
dc.format.mimetypeapplication/pdf
dc.identifier.citationWeeks, Charles.Post-Power Law of Practice: Comparing Static and Dynamical Models of Skill Acquisition. (2024). Masters thesis, Rice University. https://hdl.handle.net/1911/116167
dc.identifier.urihttps://hdl.handle.net/1911/116167
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectModeling
dc.subjectSkill Acquisition
dc.subjectLearning
dc.subjectPractice
dc.subjectPower Law
dc.subjectDynamical Model
dc.subjectMirror Tracing
dc.titlePost-Power Law of Practice: Comparing Static and Dynamical Models of Skill Acquisition
dc.typeThesis
dc.type.materialText
thesis.degree.departmentPsychology
thesis.degree.disciplineSocial Sciences
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Arts
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