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Generative AI in Education: Insights from Rehabilitation Sciences Students
Erin Pletcher, Travis Pollen, Robert Dekerlegand, Malachy Clancy, and Alison Bell
Background
- Generative artificial intelligence (GenAI) creates original, contextually relevant outputs that mimic human-like creativity and reasoning.
- GenAI promises to reshape health care from student and clinician education to comprehensive patient management in rehabilitation sciences.
- Insight into students’ perceptions and use of GenAI in education can help guide instructional strategies to facilitate its responsible implementation.
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In Season Heart Rate and Session Rate of Perceived Exertion in Collegiate Softball Athletes
Erin R. Pletcher, PhD, ATC, CSCS
Introduction
- Monitoring of workload is vital to minimize risk of overuse musculoskeletal injuries in athletes while optimizing performance
- Heart rate (HR) and session rate of perceived exertion (sRPE) have been shown to be reliable measures of training intensity in steady state and interval exercise
- Relationship between training load and injury in running-based team sports has been established
- Limited studies have investigated internal load in throwing-dominant athletes despite rigorous competition season
