434
Views
2
CrossRef citations to date
0
Altmetric
Articles

Evaluating University Physical Activity Courses from Student and Instructor Perspectives

, , &
Pages 7-11 | Published online: 05 Jan 2018
 

Abstract

This article presents the results of a survey of student and faculty perspectives within a university-level instructional physical activity (PA) program. The results revealed that students enrolled in the courses primarily for enjoyment and to stay fit. A majority of students ranked the quality of instruction as excellent, were interested in new activity offerings such as SCUBA and training for road races, and would be likely or very likely to continue pursuing the activity in the future. Faculty responses included challenges in teaching instructional PA courses (e.g., varying skill levels, equipment access), the benefits of teaching including improved student skills and student enjoyment, and an interest in professional development opportunities. An ongoing evaluation of student and instructor perspectives within instructional PA programs is recommended and necessary, but responsiveness to this information is paramount for ensuring high-quality, engaging programs.

Additional information

Notes on contributors

Christina Beaudoin

Christina Beaudoin ([email protected]), Tonya Parker, and Colleen Lewis are associate professors; and Karol Tiemersma is the Fitness, Skill and Activity Courses (FIT) coordinator, in the Movement Science Department at Grand Valley State University in Allendale, MI.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 72.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.